Publications

All Publications

2019 | 2018 | 2017 | 2016

2019

Waqas Sultani and Mubarak Shah. 2019. Human Action Recognition in Drone Videos using a Few Aerial Training Examples. Cornell University Library, arXiv:1910.10027v1. [cs.CV], 2019.

Nayyer Aafaq, Ajmal Mian, Wei Liu, Syed Zulqarnain Gilani, and Mubarak Shah. 2019. Video Description: A Survey of Methods, Datasets, and Evaluation Metrics. ACM Comput. Surv. 52, 6, Article 115 (October 2019), 37 pages. DOI: https://doi.org/10.1145/3355390

Kevin Duarte, Yogesh S Rawat, Mubarak Shah, CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing, International Conference on Computer Vision (ICCV 2019), Seoul, South Korea, Oct 27-Nov 2, 2019.

Leulseged Tesfaye Alemu, Marcello Pelillo, Mubarak Shah, Deep Constrained Dominant Sets for Person Re-Identification, International Conference on Computer Vision (ICCV 2019), Seoul, South Korea, Oct 27-Nov 2, 2019. [Supplementary]

Krishna Regmi, Mubarak Shah, Bridging the Domain Gap for Ground-to-Aerial Image Matching, International Conference on Computer Vision (ICCV 2019), Seoul, South Korea, Oct 27-Nov 2, 2019.

Rui Hou, Chen Chen, Rahul Sukthankar, Mubarak Shah, An Efficient 3D CNN for Action/Object Segmentation in Video, British Machine Vision Conference (BMVC 2019), UK, Sep 9-10, 2019.

Tesfaye, Yonatan Tariku, Eyasu Zemene, Andrea Prati, Marcello Pelillo, Mubarak Shah, Multi-target tracking in multiple non-overlapping cameras using constrained dominant sets, International Journal for Computer Vision (IJCV), September 2019, Volume 127, Issue 9, pp1303-1320. [Project Page]

Abolghasemi, Pooya, Amir Mazaheri, Mubarak Shah, and Ladislau Boloni, Pay attention!-Robustifying a Deep Visuomotor Policy through Task-Focused Attention, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, June 16-20, 2019. [Project Page]

Zaeemzadeh, Alireza, Joneidi, Mohsen, Rahnavard, Nazanin, Shah, Mubarak: Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, June 16-20, 2019. [Project Page]

Khosravan N, Celik H, Turkbey B, Jones EC, Wood B, Bagci U., A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning. Medical image analysis. 2019 Jan 1;51:101-15.

Irmakci I, Hussein S, Savran A, Kalyani RR, Reiter D, Chia CW, Fishbein KW, Spencer RG, Ferrucci L, Bagci U., A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation. IEEE Transactions on Biomedical Engineering. 2019 Apr;66(4):1069-81.

Bagci U, Hussein S, inventors; University of Central Florida Research Foundation Inc (UCFRF), assignee. System and method for image-based quantification of white and brown adipose tissue at the whole-body, organ and body-region levels. United States patent application US 10/157,462. 2018 Dec 18.

Hussein S, Kandel P, Bolan CW, Wallace MB, Bagci U. Lung and pancreatic tumor characterization in the deep learning era: novel supervised and unsupervised learning approaches. IEEE transactions on medical imaging. 2019 Jan 23.

Bogunovic H, Venhuizen F, Klimscha S, Apostolopoulos S, Bab-Hadiashar A, Bagci U, Beg MF, Bekalo L, Chen Q, Ciller C, Gopinath K. RETOUCH-The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. IEEE transactions on medical imaging. 2019 Feb 26.

Vinsard DG, Mori Y, Misawa M, Kudo SE, Rastogi A, Bagci U, Rex DK, Wallace MB. Quality Assurance of Computer-Aided Detection and Diagnosis in Colonoscopy. Gastrointestinal Endoscopy. 2019 Mar 26.


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2018

Amir Mazaheri, Boqing Gong, and Mubarak Shah. 2018. Learning a Multi-Concept Video Retrieval Model with Multiple Latent Variables. ACM Trans. Multimedia Comput. Commun. Appl. 14, 2, Article 46 (April 2018), 21 pages. DOI

P. Tirupattur, Y.S. Rawat, C. Spampinato, M. Shah, ThoughtViz: Visualizing Human Thoughts Using Generative Adversarial Network, ACM Multimedia 2018, Seoul, Korea, October 22-26, 2018.

A. Mazaheri and M. Shah, Visual Text Correction, in Proceedings of IEEE European Conference on Computer Vision (ECCV 2018), Munich, Germany, September 8-14, 2018.

H. Idrees, M. Tayyab, K. Athrey, D. Zhang, S. Al-Maddeed, N. Rajpoot, M. Shah, Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds, in Proceedings of IEEE European Conference on Computer Vision (ECCV 2018), Munich, Germany, September 8-14, 2018.

Y. Tian, A. Deghan, M. Shah, "On Detection, Data Association and Segmentation for Multi-target Tracking" in IEEE Transactions on Pattern Analysis and Machine Intelligence., doi: 10.1109/TPAMI.2018.2849374

M. Jamal, H. Li, B. Gong, Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.

Rodney LaLonde, Dong Zhang, and Mubarak Shah, ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018. [Supp.]

T. Wang, L. Zhang, S. Wang, H. Lu, X. Ruan, A. Borji, Detect Globally, Refine Locally: A Novel Approach to Saliency Detection, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.

K. Regmi, A. Borji, Cross-View Image Synthesis Using Conditional GANs, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.

A. Urooj, A. Borji, Analysis of Hand Segmentation in the Wild, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.

W. Wang, J. Shen, F. Guo, M. Cheng, A. Borji, Revisiting Video Saliency: A Large-Scale Benchmark and a New Model, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.

Y. Zeng, H. Lu, L. Zhang, M. Feng, A. Borji, Learning to Promote Saliency Detectors, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.

Waqas Sultani, Chen Chen, Mubarak Shah, Real-world Anomaly Detection in Surveillance Videos, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018., arXiv:1801.04264 [cs.CV], [v1] Fri, 12 Jan 2018.

A. Zaeemzadeh, N. Rahnavard, M. Shah, Norm-Preservation: Why Residual Networks Can Become Extremely Deep?, Cornell University Library, arXiv:1805.07477 [cs.CV], [v1] Fri, 18 May 2018.

K. Duarte, Y.S. Rawat, M. Shah, VideoCapsuleNet: A Simplified Network for Action Detection, Cornell University Library, arXiv:1805.08162 [cs.CV], 2018.

Mahdi M. Kalayeh, Emrah Basaran, Muhittin Gokmen, Mustafa E. Kamasak, Mubarak Shah, Human Semantic Parsing for Person Re-identification , in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018., arXiv:1804.00216[cs.CV] [Code] [bibtex]


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2017

R. Hou, C. Chen, and M. Shah, An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos, Cornell University Library, arXiv:1712.01111 [cs.CV], 2017.

Yonatan Tariku Tesfaye, Eyasu Zemene, Andrea Prati, Marcello Pelillo, Mubarak Shah, Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets, Cornell University Library, arXiv:1706.06196 [cs.CV], [v1] Mon, 19 Jun 2017.

Aileen L. Greena, Ulas Bagcid, Sarfaraz Husseind, Patrick V. Kellyc, Razi Muzaffara, Brent A. Neuschwander-Tetrib and Medhat M. Osmana, Brown adipose tissue detected by PET/CT imaging is associated with less central obesity, NuclearMedicine Communications, Volume 38, Issue 7, pp. 629-635, July 2017.

Sarfaraz Hussein, Kunlin Cao, Qi Song, and Ulas Bagci, Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning, Cornell University Library, arXiv:1704.08797v1 [cs.CV], [v1] Fri, 28 Apr 2017.

Amir Mazaheri, Dong Zhang, Mubarak Shah, Video Fill In the Blank using LR/RL LSTMs with Spatial-Temporal Attentions, Cornell University Library, arXiv:1704.04689v1 [cs.CV], [v1] Sat, 15 Apr 2017.

Rodney LaLonde, Dong Zhang, Mubarak Shah, Fully Convolutional Deep Neural Networks for Persistent Multi-Frame Multi-Object Detection in Wide Area Aerial Videos, Cornell University Library, arXiv:1704.02694v1 [cs.CV], [v1] Mon, 10 Apr 2017.

Rui Hou, Chen Chen, Mubarak Shah, Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos, Cornell University Library, arXiv:1703.10664[cs.CV], Tue, 4 Apr 2017.

Nasim Souly, Concetto Spampinato, and Mubarak Shah, Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network, Cornell University Library, arXiv:1703.09695v1 [cs.CV], [v1] Tue, 28 Mar 2017.


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Yicong Tian and Mubarak Shah, On Duality Of Multiple Target Tracking and Semgentation, Cornell University Library, arXiv:1610.04542v1 [cs.CV], [v1] Fri, 14 Oct 2016.

Concetto Spampinato, Simone Palazzo, Isaak Kavasidis, Daniela Giordano, Mubarak Shah, and Nasim Souly, Deep Learning Human Mind for Automated Visual Classification, Cornell University Library, arXiv:1609.00344v1 [cs.CV], [v1] Thu, 1 Sep 2016.

Waqas Sultani and Mubarak Shah, Automatic Action Annotation in Weakly Labeled Videos, Cornell University Library, arXiv:1605.08125v1 [cs.CV] Thu, 26 May 2016.

Dong Zhang and Mubarak Shah, A Framework for Human Pose Estimation in Videos, Cornell University Library, arXiv:1604.07788v1 [cs.CV] Tue, 26 Apr 2016.

Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, and Mubarak Shah, The THUMOS Challenge on Action Recognition for Videos "in the Wild", Cornell University Library, arXiv:1604.06182v1 [cs.CV] Thu, 21 Apr 2016.

Afshin Dehghan and Mubarak Shah, Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes, Cornell University Library, arXiv:1603.09240[cs.CV], [v1] Wed, 30 Mar 2016.

Thomas Castelli, Aidean Sharghi, Don Harper, Alain Tremeau and Mubarak Shah, Autonomous navigation for low-altitude UAVs in urban areas, Cornell University Library, arXiv:1602.08141[cs.RO], [v1] Thu, 25 Feb 2016.

Books

Motion Based Recognition

Mubarak Shah and Ramesh Jain


Kluwer Academic Publishers
ISBN 0-7923-4618-1

US:
Kluwer Academic Publishers
101 Philip Drive, Norwell, MA 02061, USA

Europe:
Kluwer Academic Publishers
P.O. Box 322, 3300 AH Dordrecth, The Netherlands

Motion-based recognition deals with the recognition of an object and or its motion based on motion in a sequence of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition.

This book provides the state of art in in this rapidly growing area. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including: lipreading, gesture recognition, facial expression recognition, cyclic motion detection, and activity recognition.

Contents

1. Visual Recognition of Activities, Gestures, Facial Expressions and Speech: An Introduction and a Perspective, Mubarak Shah and Ramesh Jain, UCF and UCSD.

PART I

Human Activity Recognition

2. Estimating Image Motion using Temporal Multi-scale Optical Flow and acceleration, Yaser Yacoob and Larry Davis, Maryland.
3. Learning Deformable models for tracking the human body, Adam Baumberg and David Hogg, Leeds.
4. Cyclic Motion Analysis Using Periodic Trace, Steven M Seitz and Charles R. Dyer, University of Wisconsin.
5. Temporal Texture and Activity Recognition, Ramprasad Polana and Randal Nelson, University of Rochester.
6. Action Recognition Using Temporal Templates, Aaron Bobick and Jim Davis, MIT.
7. Human Activity Recognition, N. Goddard, Pittsburgh Supercomputing Center.
8. Recognition of Human Movements Based on Explicit Motion Models, K. Rohr, Germany.

PART II

Gesture Recognition And Facial Expression Recognition

9. State-based recognition of gesture, Aaron Bobick and Andy Wilson, MIT.
10. Real-Time American Sign Language From Video Using Hidden Markov Models, Thad Starner and Alex Pentland, MIT.
11. Recognizing Human Motion using Parameterized Models of Optical Flow, M. J. Black, Y. Yacoob, and S. X. Ju, Maryland, Xerox PARC.
12. Facial Expression Recognition Using Image Motion, Irfan Essa and Alex Pentland, MIT.

PART III

Lipreading

13. Learning Visual Models for Lipreading, Christopher Bregler and Stephen M. Omohundro, Berkeley, and NEC.
14. Continuous Automatic Speech Recognition by Lipreading, Alan J. Goldschen, MITRE, Eric D. Petajan, ATT, and Oscar N. Garcia Wright State University.
15. Visually Recognizing Speech Using Eigen Sequences, Li Nan, Shawn Dettmer and Mubarak Shah, UCF.

Book Chapters

Khurram Soomro and Amir Roshan Zamir, Action Recognition in Realistic Sports Videos, Computer Vision in Sports, Springer International Publishing, 2014.

Subhabrata Bhattacharya, Haroon Idrees, Imran Saleemi, Saad Ali, and Mubarak Shah, "Moving Object Detection and Tracking in Infra-red Aerial Imagery", Machine Vision Beyond Visible Specturm, Augmented Vision and Reality, Volume 1, 2011 Springer series, DOI: 10.1007/978-3-642-11568-4.

Yaser Sheikh, Omar Javed and Mubarak Shah, "Object Association Across Multiple Cameras", in Multi-camera Networks: Concepts and Applications, Elsevier, editors Hamid Aghajan and Andrea Cavallaro, 2009.

Abhijit Mahalanobis, Mubarak Shah, and Alan van Nevel, "Information Processing across Distributed and Netted Systems for Security and Surveillance", Optical Imaging, Photonics, Sensors, and Systems for Homeland Security edited by Bahram Javidi, Springer, 2004.

Yaser Sheikh, Sohaib Khan, and Mubarak Shah, "Feature-based Georegistration of Aerial Images, GeoSensor Networks", Anthony Stefanidis and Silvia Nittel (editors): CRC Press, 2004.

Zeeshan Rasheed and Mubarak Shah, "Video Categorization using Semantics and Semiotics, Video Mining Techniques", Editors: Azriel Rosenfeld, Daniel DeMenthon, and David Doermann, Kluwer Academic Publishers, 2003.

Mubarak Shah and Rakesh Kumar, "Video Registration: A Perspective", Kluwer Academic Publishers, 2003.

Mubarak Shah, Introduction: Video Registration Panel, Video Registration, Kluwer Academic Publishers, 2003.

Yaser Sheikh, Sohaib Khan, Mubarak Shah, and R. Cannata, Geodetic Alignment of Aerial Video Frames , In Video Registration, Video Computing Series, Kluwer Academic Publishers, 2003.

Li Nan, Shawn Dettmer, and Mubarak Shah, Visually Recognizing Speech using Eigensequences.

Li Nan, Shawn Dettmer, and Mubarak Shah, "Lipreading Using Spatiotemporal Eigen Decomposition, in Motion-Based Recognition", Kluwer Academic Publishers, 1997.

Mubarak Shah and Ramesh Jain, Visual Recognition of Activities, Gestures, Facial Expressions and Speech: An Introduction and a Perspective, in Motion-Based Recognition, Kulwer Academic Publishers, 1997.

Jay Hackett and Mubarak Shah, Multisensor Fusion: A perspective, Chapter in Trends in Optical Engineering, 1993.

Kristine Gould, Krishnan Rangarajan, and Mubarak Shah, Detection and Representation of Events in Motion Trajectories, chapter in Advances in Image Analysis, Editors: Y. Mahdevieh and R. Gonzalez, SIPE Optical Engineering Press, 1992.

Computing Egomotion and Shape from Image Motion using Collinear Points
Chapter in Visual Form: Analysis and Recognition, Editors: Cordelia Arcelli and Sanniti di Baja, Plenum Press 1992, N. da Vitoria Lobo and J.K. Tsotsos.

Book Series

International Book Series on Video Computing, Kluwer Academic Publishers
Series Editor: Mubarak Shah

    Click here for titles in this series.

Multimodal Video Characterization and Summarization
Michael A. Smith and Takeo Kanade, October, 2004.

3D Face Processing: Modeling, Analysis and Synthesis
Zhen Wen and Thomas Huang, June 2004.

Content-Based Image and Video Retrieval
Xian Sean Zhu and Thomas Huang, August 2003.

Video Registration
Mubarak Shah and Rakesh Kumar, May, 2003.

Video Mining Techniques
Editors: Azriel Rosenfeld, Daniel DeMenthon, and David Doermann, July 2003.

Video Registration
Mubarak Shah and Rakesh Kumar, May 2003.

Media Computing: Computational Media Aesthetics
Chitra Dorai and Svetha Venkatesh, April 2002.

Analyzing Video Sequences of Multiple Humans
Jun Ohya, Akira Utsumi, and Junjo Yamato, March 2002.

Face Detection and Gesture Recognition for Human-Computer Interaction
Ming-Hsuan Yang and Narendra Ahuja, August 2001.

Visual Event Detection
Niels Haering and Niels da Vitoria Lobo, July 2001.

Conference Papers

2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | 1998 | 1997 | 1996 | 1995 | 1994 | 1993 | 1989

2018

Rodney LaLonde, Dong Zhang, and Mubarak Shah, ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018. [Supp.]

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2017

I kavasidis, S. Palazzo, C. Spampinato, D. Giordano, M. Shah, Brain2Image: Converting Brain Signals into Images ACM Multimedia 25, Mountain View, CA, October 23-27, 2017.

Rui Hou, Chen Chen, Mubarak Shah, Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.

Amir Mazaher, Dong Zhang, and Mubarak Shah, Video Fill In the Blank using LR/RL LSTMs with Spatial-Temporal Attentions, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.

S. Palazzo, C. Spampinato, I. Kavasidis, D. Giordano, M. Shah, Generative Adversarial Networks Conditioned by Brain Signals, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.

Khurram Soomro, Mubarak Shah, Unsupervised Action Discovery and Localization in Videos, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.

Nasim Souly, Concetto Spampinato, Mubarak Shah, Semi Supervised Semantic Segmentation Using Generative Adversarial Network, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.

Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji, Structure-measure: A New Way to Evaluate Foreground Maps, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.

Hamed R. Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen, Paying Attention to Descriptions Generated by Image Captioning Models, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.

Tiantian Wang, Ali Borji, Lihe Zhang, Pingping Zhang, Huchuan Lu, A Stagewise Refinement Model for Detecting Salient Objects in Images, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.

C. Gan, Y. Li, H. Li, C. Sun, and B. Gong, VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017. [extended vesrion]

Y. Zhang, P. David, and B. Gong, Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017. [Supp.] [dataset and code]

Harish Ravi Prakash, Milena Korostenskaja, Eduardo Castillo, Ki Lee, James Baumgartner, Ulas Bagci, Automatic Response Assessment in Regions of Language Cortex in Epilepsy Patients Using ECoG-based Functional Mapping and Machine Learning, IEEE SMC 2017, Banff, Canada, October 5-8, 2017.

Aliasghar Mortazi, Rashed Karim, Kawal Rhode, Jeremy Burt, Ulas Bagci, CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-View CNN, MICCAI 2017, Quebec City, Quebec, Canada, September 10-14, 2017.

Rui Hou, Rahul Sukthankar, Mubarak Shah, Real-Time Temporal Action Localization in Untrimmed Videos by Sub-Action Discovery, BMVC 2017, London, UK, September 4-7, 2017.

Sarfaraz Hussein, Kunlin Cao, Qi Song, and Ulas Bagci, Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning, Information Processing in Medical Imaging 2017 (IPMI 2017), Boone, NC, June 25-30, 2017

Sarfaraz Hussein, Robert Gillies, Kunlin Cao, Qi Song, Ulas Bagci, TumorNET: Lung Nodule Characterization using Multi-View Convolutional Neural Network with Gaussian Process, IEEE ISBI 2017, Sydney, Australia, April 18-21, 2017.

Nelisah Torosdagli, Denise Liberton, Payal Verma, Murat Sincan, Janice Lee, Sumantha Pattanaik, Ulas Bagci, Robust and Fully Automated Segmentation of Mandible from CT Scans, IEEE ISBI 2017, Sydney, Australia, April 18-21, 2017.

Jesscia Finocchiaro, AU Khan, A Borji, Egocentric Height Estimation, WACV 2017, Santa Rosa, CA, March 27-29, 2017.

Yicong Tian, Chen Chen and Mubarak Shah, Cross-View Image Matching for Geo-localization in Urban Environments, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017.

Mahdi M.Kalayeh, Boqing Gong and Mubarak Shah, Improving Facial Attribute Prediction using Semantic Segmentation, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017.

C Spampinato, S Palazzo, I Kavasidis, D Giordano, M Shah, N Souly, Deep Learning Human Mind for Automated Visual Classification, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017.

A. Sharghi, J. Laurel, and B. Gong, Query-Focused Video Summarization: Dataset, Evaluation, and A Memory Network Based Approach, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017 [Project Page] [Supp.].

HR Tavakoli, F Ahmed, A Borji, J Laaksonen, Revisiting visual saliency evaluation: analysis of scores, mouse clicks, and contextual annotations, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017.

Q Hou, MM Cheng, XW Hu, A Borji, Z Tu, P Torr, Deeply supervised salient object detection with short connections, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017.

H. Celik, B. Turkbey, P. Choyke, R. Cheng, E. McCreedy, M. McAuliffe, N. Khosravan, U. Bagci, B. Wood, Eye Tracking System for Prostate Cancer Diagnosis Using Multi-Parametric MRI, 25th Annual Conference on ISMRM, Honolulu, Hawai'i, USA, 2017.

Mazaheri, Amir, Boqing Gong, and Mubarak Shah, Learning a Multi-Concept Video Retrieval Model with Multiple Latent Variables, Multimedia (ISM), 2016 IEEE International Symposium on. IEEE, 2016.

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2016

Buty, M., Z. Xu, M. Gao, U. Bagci, A. Wu, and D. Mollura, Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features, MICCAI 2016, Athens Greece, October 17-22, 2016.

Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan McCreedy, Matthew McAuliffe, Sandra Bednarova, Elizabeth Jones, Xinjian Chen, Peter L Choyke, Bradford J Wood, Ulas Bagci, Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation, Medical Computer Vision, MICCAI 2016, Athens Greece, October 17-22, 2016.

Bylinskii, Z., Recasens, A., Borji , A., Oliva, A., Torralba, A. & Durand, F., Where should saliency models look next?, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016.

S Ardeshir, A Borji, Ego2Top: Matching Viewers in Egocentric and Top-view Videos, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016.

C. Gan, C. Sun, L. Duan, and B. Gong, Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016.

A. Sharghi, B. Gong, and M. Shah, Query-Focused Extractive Video Summarization, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016. [Supp.]

W-L. Chao*, S. Changpinyo*, B. Gong, and F. Sha, An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016. (Spotlight) [Supp.]

Shayan Modiri Assari, Haroon Idrees, and Mubarak Shah, Human Re-identification in Crowd Videos using Personal, Social and Environmental Constraints, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016.

M Feng, A Borji, H Lu, Fixation prediction with a combined model of bottom-up saliency and vanishing point in Proceedings of WACV 2016, Lake Placid, NY, March 7-9, 2016.

A Borji, S. Izadi, L.Itti, iLab-20M: A large-scale controlled object dataset to investigate deep learning, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016.

S. Changpinyo, W. Chao, B. Gong, and F. Sha, Synthesized Classifiers for Zero-Shot Learning, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016. (Oral) [Supp.]

C. Gan, T. Yang, and B. Gong, Learning Attributes Equals Multi-Source Domain Generalization, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016. (Spotlight)

Khurram Soomro, Haroon Idrees and Mubarak Shah, Predicting the Where and What of actors and actions through Online Action Localization, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Video of Presentation]

Nasim Souly and Mubarak Shah, Scene Labeling Using Sparse Precision Matrix, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Video of Presentation]

Waqas Sultani and Mubarak Shah, What if we do not have multiple videos of the same action? - Video Action Localization Using Web Images, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Video of Presentation]

Yang Zhang, Boqing Gong and Mubarak Shah, Fast Zero-Shot Image Tagging, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Video of Presentation]

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2015

S. Hussein and U. Bagci, Transferability of 3D CNN features for Organ Detection, NIPS 2015 Workshop on Machine Learning in Healthcare.

Khurram Soomro, Salman Khokhar and Mubarak Shah, Tracking when the camera looks away, International Conference on Computer Vision Workshop (ICCVW), Computer Vision in Sports (CVsports), 2015.

Dong Zhang and Mubarak Shah, Human Pose Estimation in Videos, International Conference on Computer Vision (ICCV), 2015, Santaigo, Chile, December 13-16, 2015.

Khurram Soomro, Haroon Idrees, and Mubarak Shah, Action Localization in Videos through Context Walk, International Conference on Computer Vision (ICCV), 2015, Santaigo, Chile, December 13-16, 2015.

M. Gao, U. Bagci, L. Lu, A. Wu, M. Buty, H-C. Shin, H. Roth, G.Z. Papadakis, A. Depeursinge, R.M. Summers, Z. Xu, and D.J. Mollura, Holistic Classification of CT Attenuation Patterns for Interstitial Lung Diseases via Deep Convolutional Neural Networks, International Conferenc on Medical Image Computing and Computer Assisted Interventions 2015 (MICCAI 2015), Munich Germany, October 5-9, 2015.

Gonzalo Vaca-Castano and Mubarak Shah, Semantic Image Search From Multiple Query Images, in Proceedings of ACM Multimedia Conference 2015 (ACMMM 2015), Brisbane, Australia, October 26-30, 2015. [Presentation]

Mahdi M. Kalayeh, Misrak Seifu, Wesna LaLanne, Mubarak Shah, How to Take a Good Selfie?, in Proceedings of ACM Multimedia Conference 2015 (ACMMM 2015), Brisbane, Australia, October 26-30, 2015

U. Bagci, GZ Papadakis, Z.Xu, A. Green, M. Osman, M. Shah, "Nuclear Medicine Meets Computer Vision: Increasing Role of Computerized Detection, Tracking, Diagnosis, and Quantification of PET/CT and PET/MRI Studies", SNMMI (Society of Nuclear Medicine and Molecular Imaging) Conference 2015.

A. Green, U. Bagci, PV. Kelly, M. Osman, "Brown adipose tissue detected by FDG PET/CT is associated with less central obesity compared to body mass index matched controls", SNMMI (Society of Nuclear Medicine and Molecular Imaging) Conference 2015.

A. Green, U. Bagci, PV. Kelly, M. Osman, "Brown Adipose Tissue Detected by FDG PET/CT is Associated with Less Visceral Fat", SNMMI (Society of Nuclear Medicine and Molecular Imaging) Conference 2015.

Z.Xu, U. Bagci, M. Gao, DJ Mollura (2015). "Improved PET image quantification via iterative denoising and partial volume correction". SNMMI (Society of Nuclear Medicine and Molecular Imaging) Conference 2015.

Afshin Dehghan, Yicong Tian, Philip. H. S. Torr and Mubarak Shah, Target Identity-aware Network Flow for Online Multiple Target Tracking, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, Massachusetts, June 8-12, 2015 [Video of Presentation]

Afshin Dehghan, Shayan Modiri Assari and Mubarak Shah, GMMCP-Tracker: Globally Optimal Generalized Maximum Multi Clique Problem for Multiple Object Tracking, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, Massachusetts, June 8-12, 2015 [Project Page] [Video of Presentation]

Shervin Ardeshir, Kofi Malcolm Collins-Sibley, Mubarak Shah, Geo-semantic Segmentation, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, Massachusetts, June 8-12, 2015. [Project Page] [Video of Presentation]

Z.Xu, Ulas Bagci, M. Gao, D.J. Mollura, Highly Precise Partial Volume Correction for PET Images: An Iterative Approach via Shape Consistency, IEEE International Symposium of Biomedical Imaging (ISBI), April 16-19, New York, 2015.

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2014

Ehsan Zare Borzeshi, Afshin Dehghan, Massimo Piccardi, Mubarak Shah, Complex Event Recognition by Latent Temporal Models of Concepts, ICIP 2014, Paris, France, October 27-30, 2014.

Yang Yang, Mubarak Shah, Learning Discriminative Features and Metrics for Measuring Action Similarity, ICIP 2014, Paris, France, October 27-30, 2014.

Rui Hou, Amir Roshan Zamir, Rahul Sukthankar, Mubarak Shah, DaMN - Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition, ECCV 2014, Zurich, Switzerland, September 6-12, 2014.

Shervin Ardeshir, Amir Roshan Zamir, Alejandro Torroella, Mubarak Shah, GIS-Assisted Object Detection and Geospatial Localization, ECCV 2014, Zurich, Switzerland, September 6-12, 2014.

Dong Zhang, Omar Javed, Mubarak Shah, Video Object Co-Segmentation by Regulated Maximum Weight Cliques, ECCV 2014, Zurich, Switzerland, September 6-12, 2014.

Amir Roshan Zamir, Shervin Ardeshir, Mubarak Shah, GPS-Tag Refinement using Random Walks with an Adaptive Damping Factor, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video] [Video of Presentation]

Shayan Modiri Assari, Amir Roshan Zamir, Mubarak Shah, Video Classification using Semantic Concept Co-occurrences, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video]

Subhabrata Bhattacharya, Mahdi M. Kalayeh, Rahul Sukthankar, Mubarak Shah, Recognition of Complex Events exploiting Temporal Dynamics between Underlying Concepts, CVPR 2014, Columbus, Ohio, June 23-28, 2014 (Oral). [TechTalks]

Afshin Dehghan, Haroon Idrees, Mubarak Shah, Improving Semantic Concept Detection through the Dictionary of Visually-distinct Elements, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video]

Afshin Dehghan, Enrique G. Ortiz, Ruben Villegas, Mubarak Shah, Who Do I Look Like? Determining Parent-Offspring Resemblance via Genetic Features, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video] [Video of Presentation]

Mahdi M. Kalayeh, Haroon Idrees, Mubarak Shah, NMF-KNN: Image Annotation using Weighted Multi-View Non-Negative Matrix Factorization, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video]

Waqas Sultani, Imran Saleemi, Human Action Recognition across Datasets by Foreground-weighted Histogram Decomposition, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video]

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2013

Amir Roshan Zamir, Afshin Dehghan, Mubarak Shah, Visual Business Recognition - A Multimodal Approach, ACM Multimedia 2013, Barcelona, Spain, November 2013. [Video of Presentation] [Project Page]

Subhabrata Bhattacharya, Recognition of Complex Events in Open-Source Web-Scale Videos: A Bottom up approach, ACM Multimedia 2013 Doctoral Symposium, Barcelona, Spain, November 2013.

Subhabrata Bhattacharya, Behnaz Nojavanasghari, Tao Chen, Dong Liu, Shih-Fu Chang, and, Mubarak Shah,, Towards a Comprehensive Computational Model for Aesthetic Assessment of Videos, ACM Multimedia 2013 Grand Challenge, Barcelona, Spain, November 2013.

Guang Shu, Afshin Dehghan, Mubarak Shah, Improving an Object Detector and Extracting Regions using Superpixels, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013. [Spotlight Presentation]

Yang Yang, Guang Shu, Mubarak Shah, Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013.

Yicong Tian, Rahul Sukthankar, Mubarak Shah, Spatiotemporal Deformable Part Models for Action Detection, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013. [Video of Presentation]

Haroon Idrees, Imran Saleemi, Cody Seibert, Mubarak Shah, Multi-Source Multi-Scale Counting in Extremely Dense Crowd Images, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013. [Spotlight Presentation]

Dong Zhang, Omar Javed, Mubarak Shah, Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013. (Oral)

Enrique G. Ortiz, Alan Wright, Mubarak Shah, Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-based Classification, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013.

Omar Oreifej and Zicheng Liu, HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013.

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2012

Haroon Idrees, Imran Saleemi and Mubarak Shah, Statistical Inference of Motion in the Invisible, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]

Soumyabrata Dey, Vladimir Reilly, Imran Saleemi and Mubarak Shah, Detection of Independently Moving Objects in Non-planar Scenes via Multi-Frame Monocular Epipolar Constraint, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]

Hamid Izadinia and Mubarak Shah, Recognizing Complex Events using Large Margin Joint Low-Level Event Model, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]

Hamid Izadinia, Imran Saleemi, Wenhui Li and Mubarak Shah, (MP)²T: Multiple People Multiple Parts Tracker, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]

Amir Roshan Zamir, Afshin Dehghan and Mubarak Shah, GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]

Yang Yang and Mubarak Shah, Complex Events Detection using Data-driven Concepts, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]

Gonzalo Vaca-Castano, Amir Roshan Zamir and Mubarak Shah, City Scale Geo-Spatial Trajectory Estimation of a Moving Camera, Computer Vision and Pattern Recognition 2012, Providence, RI, June 16-21, 2012.

Guang Shu, Afshin Dehghan, Omar Oreifej, Emily Hand and Mubarak Shah, Part-based Multiple-Person Tracking with Partial Occlusion Handling, Computer Vision and Pattern Recognition 2012, Providence, RI, June 16-21, 2012.

Afshin Dehghan, Haroon Idrees, Amir Roshan Zamir and Mubarak Shah, Keynote: Automatic Detection and Tracking of Pedestrians in Videos with Various Crowd Densities, 6th International Conference on Pedestrian and Evacuation Dynamics, Zurich, Switzerland, June 6-8, 2012.

Kishore K. Reddy, Berkan Solmaz, Pingkun Yan, Nicholas G. Avgeropoulos, David J. Rippe and Mubarak Shah, Confidence Guided Enhancing Brain Tumor Segmentation in Multi-Parametric MRI, International Symposium on Biomedical Imaging (ISBI), April 2012.

Corey McCall, Kishore Reddy and Mubarak Shah, Macro-Class Selection for Hierarchical K-NN Classification of Inertial Sensor Data, Second International Conference on Pervasive and Embedded Computing and Communication Systems, PECCS 2012, February 24-26, 2012, Rome, Italy.

Berkan Solmaz, Soumyabrata Dey, Ravishankar Rao, Mubarak Shah, ADHD classification using bag of words approach on network features, SPIE Medical Imaging Conference, San Diego, 4 - 9 February 2012.

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2011

Amir Roshan Zamir, Alexander Darino, Ryan Patrick, and Mubarak Shah Street View Challenge: Identification of Commercial Entities in Street View Imagery, The Tenth International Conference on Machine Learning and Applications, Honolulu, HI, December 18-21, 2011.

P. Natarajan et al. BBN VISER TRECVID 2011 Multimedia Event Detection System. In NIST TRECVID Workshop, Gaithersburg, MD, December 2011.

Shandong Wu, Omar Oreifej, and Mubarak Shah, Action Recognition in Videos Acquired by a Moving Camera Using Motion Decomposition of Lagrangian Particle Trajectories, International Conference on Computer Vision, November 2011, Barcelona, Spain.

Salman Khokhar, Imran Saleemi, and Mubarak Shah, Statistical Event Representation and Similarity Invariant Classification by KL Divergence Minimization, International Conference on Computer Vision, November 2011, Barcelona, Spain.

Jingen Liu, Mubarak Shah, Benjamin Kuipers, and Silvio Savarese, Cross-View Action Recognition via View Knowledge Transfer, IEEE Conference on Computer Vision and Pattern Recognition 2011, Colorado Springs, CO, USA, June 21-25, 2011. (Oral)

Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry Davis, Eran Swears, Xioyang Wang, Qiang Ji, Kishore Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit Roy-Chowdhury, and Mita Desai, A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video, IEEE Conference on Computer Vision and Pattern Recognition 2011, Colorado Springs, CO, USA, June 21-25, 2011.

Omar Oreifej, Guang Shu, Teresa Pace, and Mubarak Shah, A Two-Stage Reconstruction Approach for Seeing Through Water, IEEE Conference on Computer Vision and Pattern Recognition 2011, Colorado Springs, CO, USA, June 21-25, 2011.

Subhabrata Bhattacharya, Rahul Sukthankar, Rong Jin, and Mubarak Shah, A Probabilistic Representation for Efficient Large Scale Visual Recognition Tasks, IEEE Conference on Computer Vision and Pattern Recognition 2011, Colorado Springs, CO, USA, June 21-25, 2011.

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2010

Subhabrata Bhattacharya, Rahul Sukthankar, and Mubarak Shah, A Coherent Framework for Photo-Quality Assessment and Enhancement based on Visual Aesthetics, full paper in ACM Multimedia International conference (17% acceptance rate), Florence 2010. (Winner of Travel grant, Nominated for best paper award).

Ramin Mehran, Brian Moore, Mubarak Shah, A Streakline Representation of Flow in Crowded Scenes, European Conference on Computer Vision (ECCV), Crete, Greece, 2010.

Amir Roshan Zamir and Mubarak Shah, Accurate Image Localization Based on Google Maps Street View (This version contains minor typographical corrections over the version published in the ECCV10 proceedings), European Conference on Computer Vision (ECCV), Crete, Greece, 2010. (Received ECCV travel grant for this paper)

Vladimir Reilly, Berkan Solmaz, Mubarak Shah, Geometric Constraints for Human Detection in Aerial Imagery, European Conference on Computer Vision (ECCV), Crete, Greece, 2010.

Vladimir Reilly, Haroon Idrees, Mubarak Shah,Detection and Tracking of Large Number of Targets in Wide Area Surveillance, European Conference on Computer Vision (ECCV), Crete, Greece, 2010.

Omar Oreifej, Ramin Mehran, and Mubarak Shah, Human Identity Recognition in Aerial Images, IEEE Conference on Computer Vision and Pattern Recognition 2010, San Francisco, CA.

Mikel Rodriguez, CRAM: Compact Representation of Actions in Movies, IEEE Conference on Computer Vision and Pattern Recognition 2010, San Francisco, CA.

Imran Saleemi, Lance Hartung, and Mubarak Shah, Scene Understanding by Statistical Modeling of Motion Patterns, IEEE Conference on Computer Vision and Pattern Recognition 2010, San Francisco, CA.

Shandong Wu, Brian Moore, and Mubarak Shah, Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes, IEEE Conference on Computer Vision and Pattern Recognition 2010, San Francisco, CA.

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2009

Naveed Imran, Jingen Liu, Jiebo Luo, and Mubarak Shah, Event recognition from photo collections via PageRank, 17th ACM international conference on Multimedia, October 2009.

Yang Yang, Jingen Liu, and Mubarak Shah, Video Scene Understanding Using Multi-scale Analysis, International Conference on Computer Vision, September 2009.

Mikel Rodriguez, Saad Ali and Takeo Kanade, Tracking in Unstructured Crowded Scenes, International Conference on Computer Vision, September 2009.

Arslan Basharat and Mubarak Shah, Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems, International Conference on Computer Vision, September 2009.

Kishore Reddy, Jingen Liu, and Mubarak Shah, Incremental Action Recognition Using Feature-Tree, International Conference on Computer Vision, September 2009.

Ramin Mehran, Alexis Oyama and Mubarak Shah, Abnormal Crowd Behavior Detection using Social Force Model, IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, 2009.

Jingen Liu, Jiebo Luo and Mubarak Shah, Recognizing Realistic Actions from Videos, IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, 2009.

Jingen Liu, Yang Yang and Mubarak Shah, Learning Semantic Visual Vocabularies Using Diffusion Distance, IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, 2009.

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2008

Jun Xie, Min Hu, and Mubarak Shah, Unfolding Warping for Object Recognition, International Conference on Pattern Recognition, December 2008.

Min Hu, Saad Ali and Mubarak Shah, Learning Motion Patterns in Crowded Scenes Using Motion Flow Field, International Conference on Pattern Recognition, December 2008.

Min Hu, Saad Ali, and mubarak Shah, Detecting Global Motion Patterns in Complex Videos, International Conference on Pattern Recognition, December 2008.

Saad Ali and Mubarak Shah, Floor Fields for Tracking in High Density Crowded Scenes, European Conference on Computer Vision, Marseille, France, October 12-18, 2008.

Jun Xie, Shahid Khan, and Mubarak Shah, Automatic Tracking of Escherichia Coli Bacteria, 11th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI, September 6-10, New York City. 2008.

Andrew Miller, Mubarak Shah, and Don Harper, Landing a UAV on a Runway Using Image Registration, International Conference on Robotics & Automation, 2008.

Pingkun Yan, Saad M. Khan, and Mubarak Shah, Learning 4D Action Feature Models for Arbitrary View Action Recognition, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.

Jingen Liu, Saad Ali, and Mubarak Shah, Recognizing Human Actions Using Multiple Features, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.

Arslan Basharat, Alexei Gritai, and Mubarak Shah, Learning Object Motion Patterns for Anomaly Detection and Improved Object Detection, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.

Yusuf Aytar, Mubarak Shah, and Jiebo Luo, Utilizing Semantic Word Similarity Measures for Video Retrieval, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.

Jingen Liu, and Mubarak Shah, Learning Human Actions via Information Maximization, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.

Saad M. Khan, and Mubarak Shah, Reconstructing Non-stationary Articulated Objects in Monocular Video using Silhouette Information, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.

Mikel D. Rodriguez, Javed Ahmed, and Mubarak Shah, Action MACH: A Spatio-temporal Maximum Average Correlation Height Filter for Action Recognition, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.

Mikel D. Rodriguez and Mubarak Shah, Visual Surveillance in Maritime Port Facilities, SPIE Defense and Security Symposium, Orlando, Florida, 2008.

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2007

Martin Schiavenato, Jacqueline Byers, Paul Scovanner, Piotr Windyga, and Mubarak Shah Is there a Primal Face of Pain? A methodology answer, Proceedings of the 29th Annual International Conference of the IEEE EMBS, Cite Internationale, Lyon, France, August 23-26, 2007.

Saad M. Khan, Pingkun Yan, and Mubarak Shah, A Homographic Framework for the Fusion of Multi-view Silhouettes, ICCV 2007, Rio de Janeiro, Brazil.

Pingkun Yan, Saad M. Khan, and Mubarak Shah, 3D Model based Object Class Detection in an Arbitrary View, ICCV 2007, Rio de Janeiro, Brazil.

Jingen Liu and Mubarak Shah, Scene Modeling Using Co-clustering, ICCV 2007, Rio de Janeiro, Brazil.

Saad Ali, Arslan Basharat, and Mubarak Shah, Chaotic Invariants for Human Action Recognition, ICCV 2007, Rio de Janeiro, Brazil.

Paul Scovanner, Saad Ali, and Mubarak Shah, A 3-Dimensional SIFT Descriptor and its Application to Action Recognition, ACM MM 2007.

Mikel D. Rodriguez, and Mubarak Shah, Detecting and Segmenting Humans in Crowded Scenes, ACM MM 2007.

Yaser Sheikh, Asad Hakeem, and Mubarak Shah On the Direct Estimation of the Fundamental Matrix, IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.

Yaser Sheikh, Xin Li, and Mubarak Shah Trajectory Association across Non-overlapping Moving Cameras in Planar Scenes, IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.

Yaser Sheikh, Alexei Gritai, and Mubarak Shah On the Spacetime Geometry of Galilean Cameras, IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.

Saad Ali, Vladimir Reilly, and Mubarak Shah Motion and Appearance Contexts for Tracking and Re-Acquiring Targets in Aerial Video, IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.

Saad Ali and Mubarak Shah A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.

Javed Ahmed, Mubarak Shah, Andrew Miller, Don Harper, and M.N. Jafri, A Vision-Based System for a UGV to Handle a Road Intersection, AAAI 2007.

Andrew Miller and Mubarak Shah Foreground Segmentation in Surveillance Scenes Containing a Door, IEEE International Conference on Multimedia & Expo, Beijing, China 2007.

Brandyn White and Mubarak Shah Automatically Tuning Background Subtraction Parameters Using Particle Swarm Optimization, IEEE International Conference on Multimedia & Expo, Beijing, China 2007.

Yusuf Aytar, Omer Bilal Orhan and Mubarak Shah Improving Semantic Concept Detection and Retrieval Using Contextual Estimates, IEEE International Conference on Multimedia & Expo, Beijing, China 2007.

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2006

Asaad Hakeem, Roberto Vezzani, Mubarak Shah, and Rita Cucchiara, Estimating Geospatial Trajectory of a Moving Camera, ICPR 2006.

Saad Ali and Mubarak Shah, COCOA - Tracking in Aerial Imagery, SPIE Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications, Orlando, 2006.

Jingen Liu, Yun Zhai, and Mubarak Shah, PEGASUS: an information mining system for TV news videos, SPIE Defense and Security Symposium, Orlando, Florida, May, 2006.

Yun Zhai, Mubarak Shah, Visual Attention Detection in Video Sequences Using Spatiotemporal Cues, ACM MM 2006, Santa Barbara, CA, USA.

Humera Noor, Shahid H. Mirza,Yaser Sheikh, Amit Jain, Mubarak Shah, Model Generation for Video based Object Recognition, ACM MM 2006, Santa Barbara, CA, USA.

Yaser Sheikh, Niels Haering, Mubarak Shah, Shape from Dynamic Texture for Planes, IEEE Conference on Computer Vision and Pattern Recognition, New York, USA 2006.

Fahd Rafi, Saad M. Khan, Khurram Shafiq, Mubarak Shah. Autonomous Target Following by Unmanned Aerial Vehicles, SPIE Defence and Security Symposium 2006, Orlando FL.

Alexei Gritai, Mubarak Shah, Tracking of Human Body Joints Using Anthropometry, International Conference of Multimedia and Expo, Toronto, Canada, 2006.

Yun Zhai, Jingen Liu, Mubarak Shah, Automatic Query Expansion In News Video Retrieval, International Conference of Multimedia and Expo, Toronto, Canada, 2006.

Saad M. Khan, Fahd Rafi, Mubarak Shah, Where was the picture taken: Image Localization in Route Panoramas using Epipolar Geometry, International Conference of Multimedia and Expo, Toronto, Canada, 2006.

Saad M. Khan, Mubarak Shah, A Multiview Approach to Tracking People in Crowded Scenes using a Planar Homography Constraint, European Conference of Computer Vision 2006.

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2005

Yun Zhai and Mubarak Shah, Tracking News Stories Across Different Sources, ACM Multimedia 2005, Singapore, November 6-12.

Saad M. Khan and Mubarak Shah, Detecting Group Activities Using Rigidity of Formation, ACM Multimedia 2005, Singapore, November 6-12.

Yun Zhai and Mubarak Shah, Determining Structure in Continuously Recorded Videos, ACM Multimedia 2005, Singapore, November 6-12.

Mubarak Shah, Recognizing Human Actions, Third ACM International Workshop on Video Surveillance & Sensor Networks, November 2005.

Asaad Hakeem, Khurram Shafique, and Mubarak Shah, Object-based Video Coding Framework for Static Camera Videos, ACM Multimedia 2005, Singapore, November 6-12.

Yun Zhai, Alper Yilmaz, and Mubarak Shah, Story Segmentation in News Videos Using Visual and Text Cues, International Conference on Image and Video Retrieval (CIVR), pp. 92-102, 2005.

Yun Zhai and Mubarak Shah, A General Framework for Temporal Video Scene Segmentation, IEEE ICCV 2005, Beijing, China, October 15-21.

Paul Smith, Niels da Vitoria Lobo, and Mubarak Shah, Temporal Boost for Event Recognition, IEEE ICCV 2005, Beijing, China, October 15-21.

Alper Yilmaz and Mubarak Shah, Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras, IEEE ICCV 2005, Beijing, China, October 15-21.

Saad Ali and Mubarak Shah, A Supervised Learning Framework for Generic Object Detection in Images, IEEE ICCV 2005, Beijing, China, October 15-21.

Yaser Sheikh and Mubarak Shah, Object Tracking Across Multiple Independently Moving Cameras, IEEE ICCV 2005, Beijing, China, October 15-21.

Yaser Sheikh and Mubarak Shah, Exploring the Space of a Human Action, IEEE ICCV 2005, Beijing, China, October 15-21.

Pingkun Yan, Weijia Shen, Ashraf A. Kassim, and Mubarak Shah, Segmentation of Neighboring Organs in Medical Image with Model Competition, 8th International Conference on Medical Image Computing and Computer Assisted Intervention, Palm Springs, California, USA October 26-29, 2005.

Asaad Hakeem and Mubarak Shah, Multiple Agent Event Detection and Representation in Videos, The Twentieth National Conference on Artificial Intelligence (AAAI), 2005.

Orkun Alatas, Omar Javed and Mubarak Shah, Video Compression Using Structural Flow, IEEE International Conference on Image Processing, Genova, September 2005.

Yun Zhai, Jingen Liu, Xiaochun Cao, Arslan Basharat, Asaad Hakeem, Saad Ali, Mubarak Shah, Costantino Grana and Rita Cucchiarra, Video Understanding and Content-Based Retrieval, TREC Video Retrieval Evaluation Forum (TRECVID), Gaithersburg, Maryland, 2005.

Yun Zhai and Mubarak Shah, A Multi-Level Framework for Video Shot Structuring, International Conference on Image Analysis and Recognition (ICIAR), Toronto, Canada, 2005.

Yun Zhai and Mubarak Shah, Automatic Segmentation of Home Videos, IEEE International Conference on Multimedia and Expo (ICME), Amsterdam, Netherlands, 2005.

Saad Ali and Mubarak Shah, An Integrated Approach for Generic Object Detection Using Kernel PCA and Boosting, IEEE International Conference on Multimedia and Expo 2005, Amsterdam, July 3-6.

Yaser Sheikh and Mubarak Shah, Bayesian Object Detection in Dynamic Scenes, IEEE CVPR 2005, San Diego, June 20-26.

Omar Javed, Khurram Shafique, and Mubarak Shah, Appearance Modeling for Tracking in Multiple Non-overlapping Cameras, IEEE CVPR 2005, San Diego, June 20-26.

Alper Yilmaz and Mubarak Shah, Actions As Objects: A Novel Action Representation, IEEE CVPR 2005, San Diego, June 20-26.

Omar Javed, Saad Ali, and Mubarak Shah, Online Detection and Classification of Moving Objects Using Progressively Improving Detectors, IEEE CVPR 2005, San Diego, June 20-26.

Jiangjian Xiao and Mubarak Shah, Accurate Motion Layer Segmentation and Matting, IEEE CVPR 2005, San Diego, June 20-26.

Xiaochun Cao and Mubarak Shah, Camera Calibration and Light Source Orientation Estimation from Images with Shadows, IEEE CVPR 2005, San Diego, June 20-26.

D. Batz, M. Batz, N. da Vitoria Lobo, and M. Shah, Visual System for Monitoring Medication Intake, in Procs. Canadian Conference on Computer and Robot Vision, Victoria, B.C., May 2005.

J. Garcia, N. da Vitoria Lobo, M. Shah, and J. Feinstein, Finding Heads in Single Images, in Procs. Canadian Conference on Computer and Robot Vision, Victoria, B.C., May 2005.

Arslan Basharat, Necati Catbas, and Mubarak Shah, A Framework for Intelligent Sensor Network with Video Camera for Structural Health Monitoring of Bridges, First International Workshop on Sensor Networks and Systems for Pervasive Computing (PerSeNS'05) in affiliation with Third IEEE International Conference on Pervasive Computing and Communications, Kauai Island, Hawaii, March 8-12, 2005.

Yunjun Zhang, Jiangjian Xiao, and Mubarak Shah, Motion Layer Based Object Removal in Videos, IEEE Workshop on Application on Computer Vision, Breckenridge, Colorado, January 5-6, 2005.

Xiaochun Cao and Mubarak Shah, Shadow Construction in Object Transfer, IEEE Workshop on Application on Computer Vision, Breckenridge, Colorado, January 5-6, 2005.

Jiangjian Xiao, Yunjun Zhang, and Mubarak Shah, Adaptive Region-Based Video Registration, IEEE Workshop on Motion, Breckenridge, Colorado, January 5-6, 2005.

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2004

Yun Zhai, Xiaochun Cao, Yunjun Zhang, Omar Javed, Alper Yilmaz, Fahd Rafi, Saad Ali, Orkun Alatas, Saad Khan, and Mubarak Shah, University of Central Florida at TRECVID 2004, TRECVID 2004.

Yun Zhai, Zeeshan Rasheed, and Mubarak Shah, A Framework for Semantic Classification of Scenes Using Finite State Machines, Oral presentation in the International Conference on Image and Video Retrieval, Dublin, Ireland, July 21-23, 2004.

Yunjun Zhang, Jiangjian Xiao, and Mubarak Shah, Object Removal in Single Image, Proceedings of EUROGRAPHICS, Grenoble, France, August 30 - September 3, 2004.

Michael Wells, Niels da Vitoria Lobo, and Mubarak Shah, Automatic Visual Tracking for Analysis of Lifting, Irish Machine Vision and Image Processing Conference, Dublin, Ireland, September 1-3, 2004.

Omar Javed, Mubarak Shah, and Dorin Comaniciu, A Probabilitic Framework for Object Recognition in Video, International Conference on Image Processing, 2004.

Khurram Shafique and Mubarak Shah, Estimation of the Radiometric Response Functions of a Color Camera from Differently Illuminated Images, International Conference on Image Processing, 2004.

Lisa Spencer and Mubarak Shah, Water Video Analysis, International Conference on Image Processing, 2004.

Yaser Sheikh, Yun Zhai, Khurram Hassan Shafique, and Mubarak Shah, Visual Monitoring of Railroad Grade Crossing, SPIE Conferences, Orlando, USA, April 13-15, 2004.

Abhijit Mahalanobis, Jamie Cannon, S. Robert Stanfill, Robert Muise, and Mubarak Shah, Network Video Image Processing for Security, Surveillance, and Situational Awareness, Keynote at SPIE conference of Digital Wireless Communication VI, Orlando, USA, April 12-13, 2004.

Alexei Gritai, Yaser Sheikh, and Mubarak Shah, On the Invariant Analysis of Human Actions, 17th conference of the International Conference on Pattern Recognition, 2004.

Imran Junejo, Omar Javed, and Mubarak Shah, Multi Feature Path Modeling for Video Surveillance, 17th conference of the International Conference on Pattern Recognition, 2004.

Orkun Alatas, Omar Javed, and Mubarak Shah, Compressed Spatio-temporal Descriptors for Video Matching and Retrieval, 17th conference of the International Conference on Pattern Recognition, 2004.

Yun Zhai, Zeeshan Rasheed, and Mubarak Shah, Conversation Detection in Feature Films Using Finite State Machines, 17th conference of the International Conference on Pattern Recognition, 2004.

Asaad Hakeem and Mubarak Shah, Ontology and Taxonomy Collaborated Framework for Meeting Classification, 17th conference of the International Conference on Pattern Recognition, 2004.

Asaad Hakeem, Yaser Sheikh, and Mubarak Shah, CASE^E: A Hierarchical Event Representation for the Analysis of Videos, The Nineteenth National Conference on Artificial Intelligence (AAAI), 2004.

Jiangjian Xiao and Mubarak Shah, Motion Layer Extraction in the Presence of Occlusion using Graph Cut, Oral presentation, Proceedings of Computer Vision and Pattern Recognition, 2004.

Paul Smith, Mubarak Shah, and Niels da Vitoria Lobo, Integrating and Employing Multiple Levels of Zoom for Activity Recognition, Proceedings of Computer Vision and Pattern Recognition, 2004.

Jiangjian Xiao and Mubarak Shah, Automatic Target Recognition Using Multi-View Morphing, Conferences of SPIE Automatic Target Recognition XIV, Orlando, USA, April 13-15, 2004.

Yaser Sheikh, Yun Zhai, Mubarak Shah, An Accumulative Framework for Alignment of An Image Sequence, Proceedings of Asian Conference on Computer Vision, Korea, 2004.

Yaser Sheikh and Mubarak Shah, Aligning Dissimilar Images, Proceedings of Asian Conf. on Computer Vision, 2004.

Lisa Spencer and Mubarak Shah, Temporal Synchronization from Camera Motion, Proceedings of Asian Conference on Computer Vision, Korea, 2004.

Alper Yilmaz, Xin Li, and M. Shah, Contour Based Object Tracking Using Level Sets, Proceedings of Asian Conference on Computer Vision, Korea, 2004.

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2003

Yun Zhai, Zeeshan Rasheed, and Mubarak Shah, University of Central Florida at TRECVID 2003, TRECVID 2003.

Zeeshan Rasheed, Yaser Sheikh, and Mubarak Shah, Semantic Film Preview Classification Using Low-Level Computable Features, 3rd International Workshop on Multimedia Data and Document Engineering (MDDE-2003), Berlin, Germany, September 8, 2003.

Jiangjian Xiao and Mubarak Shah, From Images to Video: View Morphing of Three Images, Vision, Modeling, and Visualization 2003 (VMV2003), Munich, Germany, Novemeber 19-21, 2003. 

Cen Rao, Mubarak Shah, and Tanveer Syeda-Mahmood, Invariance in Motion Analysis of Videos, ACM Multimedia 2003, Berkeley, CA, USA, November 2-8, 2003.

Omar Javed, Zeeshan Rasheed, Khurram Shafique, and Mubarak Shah, Tracking Across Multiple Cameras With Disjoint Views, The Ninth IEEE International Conference on Computer Vision, Nice, France, 2003.

Khurram Shafique and Mubarak Shah, A Non-Iterative Greedy Algorithm for Multi-frame Point Correspondence, The Ninth IEEE International Conference on Computer Vision, Nice, France, 2003.

Jiangjian Xiao and Mubarak Shah, Two-FrameWide Baseline Matching, The Ninth IEEE International Conference on Computer Vision, Nice, France, 2003.

Cen Rao, Alexei Gritai, Mubarak Shah, and Tanveer Syeda-Mahmood, View-invariant Alignment and Matching of Video Sequences, The Ninth IEEE International Conference on Computer Vision, Nice, France, 2003.

Zeeshan Rasheed and Mubarak Shah, A Graph Theoretic Approach for Scene Detection in Produced Videos, Multimedia Information Retrieval Workshop 2003, in conjunction with the 26th annual ACM SIGIR conference on Information Retrieval, Aug 1, Toronto, Canada, 2003.

Omar Javed, Zeeshan Rasheed, Orkun Alatas and Mubarak Shah, KNIGHT^M: A Real Time Surveillance System for Multiple Overlapping and Non-Overlapping Cameras, The fourth International Conference on Multimedia and Expo (ICME 2003), Baltimore, Maryland, 2003.

Omar Javed and Mubarak Shah, KNIGHT^M: A Multi-Camera Surveillance System, ONDCP International Technology Symposium, 2003. 

Rasheed Z and Shah M. Scene Detection In Hollywood Movies and TV Shows, Oral presentation in IEEE Computer Vision and Pattern Recognition Conference, Madison, Wisconsin, June 16-22, 2003.

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2002

Alper Yilmaz and Mubarak Shah, Estimation of Arbitrary Albedo and Shape from Shading for Symmetric Objects, British Machine Vision Conference, England, pp. 728-736, 2002.

Jiangjian Xiao, Cen Rao, and Mubarak Shah, View Interpolation for Dynamic Scenes, Proceedings of EUROGRAPHICS, Germany, 2002.

Alper Yilmaz, Khurram Hassan-Shafique, and Mubarak Shah, Estimation of Rigid and Non-rigid Facial Motion using Anatomical Face Model, IEEE International Conference on Pattern Recognition, Canada, 2002.

Zeeshan Rasheed and Mubarak Shah, Movie Genre Classification By Exploiting Audio-Visual Features,IEEE International Conference on Pattern Recognition, Canada, 2002.

Omar Javed and Mubarak Shah, Tracking And Object Classification For Automated Surveillance, The seventh European Conference on Computer Vision, Denmark, 2002.

Jaime Dever, Niels da Vitoria Lobo, and Mubarak Shah, Automatic Visual Recognition of Armed Robbery, IEEE International Conference on Pattern Recognition, Canada, 2002.

Ankur Datta, Mubarak Shah, and Niels Da Vitoria Lobo, Person-on-Person Violence Detection in Video Data, IEEE International Conference on Pattern Recognition, Canada, 2002.

Richard Russo, Niels da Vitoria Lobo, and Mubarak Shah, A Computer Vision System for Monitoring Production of Fast Food, Asian Conference on Computer Vision, Australia, Jan<
uary 2002.

Alper Yilmaz and Mubarak Shah, Automatic Feature Detection and Pose Recovery for Faces, Asian Conference on Computer Vision, Australia, Jan 2002.

Omar Javed, Khurram Shafique, and Mubarak Shah, A Hierarchical Approach to Robust Background Subtraction using Color and Gradient Information, IEEE Workshop on Motion and Video Computing, Orlando, December 5-6, 2002.

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2001

Cen Rao and Mubarak Shah, View Invariance in Action Recognition, IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2001, Kauai, Hawaii, December 11-13, 2001.

Sohaib Khan and Mubarak Shah, Object Based Segmentation of Video Using Color, Motion and Spatial Information, IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2001, Kauai, Hawaii, December 11-13, 2001.

Sohaib Khan, Omar Javed, Zeeshan Rasheed, and Mubarak Shah, Human Tracking in Multiple Cameras, The Eighth IEEE International Conference on Computer Vision, Vancouver, Canada. July 9-12, 2001.

Omar Javed, Zeeshan Rasheed, and Mubarak Shah, A Framework for Segmentation of Talk & Game Shows, The Eighth IEEE International Conference on Computer Vision, Vancouver, Canada. July 9-12, 2001.

Alper Yilmaz, Khurram Hassan-Shafique, Mubarak Shah, and Niels da Vitoria Lobo, Target-Tracking in FLIR Imagery Using Mean-Shift and Global Motion Compensation, Workshop on Computer Vision Beyond the Visible Spectrum, with CVPR 2001, Kauai, Hawaii, December 14, 2001.

Sohaib Khan, Omar Javed, and Mubarak Shah, Tracking in Uncalibrated Cameras with Overlapping Field of View, Performance Evaluation of Tracking and Surveillance PETS 2001, (with CVPR 2001), Kauai, Hawaii, December 9, 2001

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2000

Cen Rao and Mubarak Shah, A View-Invariant Representation of Human Action, International Conference on Control, Automation, Robotics and Vision, Singapore, December 5-8, 2000.

Alper Yilmaz and Mubarak Shah, Shot Detection using Principle Coordinate System, IASTED Int'l Conf, Internet and Multimedia Systems and Applications, IMSA 2000 Las Vegas, November 20-23, 2000.

Omar Javed, Sohaib Khan, Zeeshan Rasheed, and Mubarak Shah, A Framework for Segmentation of Interview Videos, IASTED Int'l Conf, Internet and Multimedia Systems and Applications, Las Vegas, November 20-23, 2000.

Paul Smith, Mubarak Shah, and Niels da Vitoria Lobo, Monitoring Head/Eye Motion for Driver Alertness with One Camera, Fifteenth IEEE International Conference on Pattern Recognition, Barcelona, Spain, September 3-8, 2000.

M. Wallick, N. da Vitoria Lobo, and Mubarak Shah, Computer Vision Framework for Analyzing Projections from Video of Lectures, ISCA 9th International Conference for Intelligent Systems, Louisville, KY, June 2000.

Andrew Wu, Mubarak Shah, and Niels da Vitoria Lobo, A Virtual 3D Blackboard: 3D Finger Tracking using a single camera, FG'2000 Fourth IEEE International Conference on Automatic Face and Gesture Recognition, Grenoble, France, March 26-30, 2000.

Sohaib Khan and Mubarak Shah, Tracking People in Presence of Occlusion Asian Conference on Computer Vision, Taipei, Taiwan, January 2000.

Niels Haering, Niels da Vitoria Lobo, Richard Qian, and Ibrahim Sezan, A Framework for Designing Event Detectors, Asian Conference on Computer Vision, 2000.

Omar Javed, Sohaib Khan, Zeeshan Rasheed, and Mubarak Shah, Camera Handoff: Tracking in Multiple Uncalibrated Stationary Cameras, IEEE Workshop on Human Motion, HUMO-2000, Austin, TX, December 7-8, 2000.

Walter Phillips III, Mubarak Shah, and Niels da Vitoria Lobo, Flame Detection in Video , Workshop on Applications of Computer Vision, Palm Springs, CA, December 4-6, 2000.

Richard W. Cannata, Mubarak Shah, Steven G. Blask, and John A. Van Workum, Autonomous Video Registration Using Sensor Model Parameter Adjustments, Applied Imagery Pattern Recognition Workshop (AIPR) 2000, Cosmos Club, Washington D.C., October 16-18, 2000.

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1999

Niels Haering, Richard Qian, and Ibrahim Sezan, Detecting Hunts in Wildlife Documentaries, International Conference on Multimedia Computing and Systems, 1999.

Richard Qian, Niels Haering, and Ibrahim Sezan, A Computational Approach to Semantic Event Detection, Computer Vision and Pattern Recognition, 1999.

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1998

Douglas Ayers and Mubarak Shah, Monitoring Human Behavior in an Office Environment, Workshop on Applications of Computer Vision, 1998.

Shawn Dettmer, Avinash Seetharamaiah, Li Nan, Lin Wang, and Mubarak Shah, Model-Based Approach for Recognizing Human Activities From Video Sequences, NSF Workshop on recent Advances in Computer Vision, 1998.

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1997

Niels Haering, Zarina Myles, and Niels da Vitoria Lobo, Locating Deciduous Trees Content-Based Access of Images in Video Library, 1997.

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1996

Robert G. Uhl Jr. and Niels da Vitoria Lobo, A Framework for Recognizing a Facial Image from a Police Sketch, Computer Vision and Pattern Recognition, pp.586-593, 1996.

Zarina Myles and Niels da Vitoria Lobo, Recovering Affine Motion and Defocus Blur Simultaneously, Computer Vision and Pattern Recognition, pp. 756-763, 1996.

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1995

George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, and Mubarak Shah, Learning Geometric Hashing Functions for Model-Based Object Recognition, International Conference on Computer Vision, pp. 543-548, 1995.

Howard B. Mall and Niels da Vitoria Lobo, Determining Wet Surfaces from Dry, International Conference on Computer Vision, pp. 963-968, 1995.

Li Nan, Shawn Dettmer, and Mubarak Shah, Visual Lipreading Using Eigen sequences, International Workshop on face and Gesture Recognition, 1995.

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1994

Ping-sing Tsai, Mubarak Shah, Katharine Keiter, and Takis Kasparis, Cyclic Motion Detection, International Conference on Pattern Recognition, 1994.

James Davis and Mubarak Shah, Gesture Recognition, European Conference on Computer Vision, 1994.

Claudette Cedras and Mubarak Shah, A Survey of Motion Analysis from Moving Light Displays, Computer Vision and Pattern Recognition, 1994.

Ruo Zhang and Mubarak Shah, Height Recovery from Intensity Gradient, Computer Vision and Pattern Recognition, 1994.

Ruo Zhang, Ping-Sing Tsai, James Edwin Cryer, and Mubarak Shah, Analysis of Shape from Shading Techniques, Computer Vision and Pattern Recognition, 1994.

Tina Yu Tian and Mubarak Shah, Estimating 3D Motion and Shape of Multiple Objects Using Hough Transform, International Conference on Pattern Recognition, 1994.

Tina Yu Tian and Mubarak Shah, Motion Segmentation and Estimation, International Conference on Image Processing, 1994.

Young Ho Kwon and Niels da Vitoria Lobo, Age Classification from Facial Images, Computer Vision and Pattern Recognition, pp. 762-767, 1994.

Tina Yu Tian and Mubarak Shah, A General Approach for Determining 3D Motion and Structure of Multiple Objects and Image Trajectories, IEEE Workshop on Motion of Non-Rigid and Articulated Objects, 1994.

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1993

Ruo Zhang, Ping-sing Tsai, and Mubarak Shah, Shape from Photomotion, Computer Vision and Pattern Recognition, 1993.

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1989

Kristine Gould and Mubarak Shah, The Trajectory Primal Sketch: A Multi-Scale Scheme for Representing Motion Characteristics, Computer Vision and Pattern Recognition, San Diego, pp. 79-85, June, 1989.

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Journal Papers

2018

E. Z. Mequanint, Y. T. Tesfaye, H. Idrees, A. Prati, M. Pelillo and M. Shah, Large-scale Image Geo-Localization Using Dominant Sets," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TPAMI.2017.2787132

2017

Aileen L. Greena, Ulas Bagcid, Sarfaraz Husseind, Patrick V. Kellyc, Razi Muzaffara, Brent A. Neuschwander-Tetrib and Medhat M. Osmana, Brown adipose tissue detected by PET/CT imaging is associated with less central obesity, NuclearMedicine Communications, Volume 38, Issue 7, pp. 629-635, July 2017.

Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, and Mubarak Shah, The THUMOS Challenge on Action Recognition for Videos "in the Wild", Computer Vision and Image Understanding, Preprint.

Afshin Dehghan and Mubarak Shah, Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes, Transactions on Pattern Analysis and Machine Intelligence, 2017.

Hossein Rahmani, Ajmal Mian and Mubarak Shah, Learning a Deep Model for Human Action Recognition from Novel Viewpoints , Transactions on Pattern Analysis and Machine Intelligence, Volume: PP, Issue: 99, 06 April 2017.

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2016

Gonzalo Vaca-Castano, Samarjit Das, Joao P. Sousa, Niels D. Lobo, and Mubarak Shah, Improved Scene Identification and Object Detection on Egocentric Vision of Daily Activities, Computer Vision and Image Understanding (CVIU), 2016. http://dx.doi.org/10.1016/j.cviu.2016.10.016 [Project Page]

Sarfaraz Hussein, Aileen Green, Arjun Watane, David Reiter, Xinjian Chen, Georgios Z. Papadakis, Bradford Wood, Aaron Cypess, Medhat Osman, and Ulas Bagci, Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans, IEEE Transactions on Medical Imaging, vol.PP, no.99, pp.1-1. https://doi.org/10.1109/TMI.2016.2636188

Ali Borji, Mengyang Feng, Huchuan Lu, Vanishing point attracts gaze in free-viewing and visual search tasks, Journal of Vision, November 2016, Vol.16, 18. https://doi.org/10.1167/16.14.18

Haroon Idrees , Amir R. Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, Mubarak Shah, The THUMOS Challenge on Action Recognition for Videos "in the Wild", Computer Vision and Image Understanding, Preprint.

Y Zhou, U Teomete, O Dandin, O Osman, T Dandinoglu, U Bagci, W Zhao, Computer-Aided Detection (CADx) for Plastic Deformation Fractures in Pediatric Forearm, Computers in Biology and Medicine 78, 120-125, 2016.http://dx.doi.org/10.1016/j.compbiomed.2016.09.013

GZ Papadakis, C Millo, SM Sadowski, U Bagci, NJ Patronas, Kidney Tumor in a von Hippel-Lindau (VHL) Patient With Intensely Increased Activity on 68Ga-DOTA-TATE PET/CT, Clinical Nuclear Medicine, 2016.

Gonzalo Vaca-Castano, Samarjit Das, Joao P. Sousa, Niels D. Lobo and Mubarak Shah, Improved scene identification and object detection on egocentric vision of daily activities, Computer Vision and Image Understanding, October 2016. http://dx.doi.org/10.1016/j.cviu.2016.10.016

GZ Papadakis, C Millo, SM Sadowski, U Bagci, NJ Patronas, Epididymal Cystadenomas in von Hippel-Lindau Disease Showing Increased Activity on 68Ga DOTATATE PET/CT, Clinical Nuclear Medicine,in press, 2016. http://doi.org/10.1097/RLU.0000000000001314

GZ Papadakis, C Millo, SM Sadowski, U Bagci, NJ Patronas, Endolymphatic Sac Tumor Showing Increased Activity on 68Ga DOTATATE PET/CT, Clinical Nuclear Medicine,in press, 2016. http://doi.org/10.1097/RLU.0000000000001315

R.F. Johnson, U.Bagci, et al., 3B11-N, a monoclonal antibody against MERS-CoV, reduces lung pathology in rhesus monkeys following intratracheal inoculation of MERS-CoV Jordan-n3/2012, Virology,490:49-58, March 2016. http://dx.doi.org/10.1016/j.virol.2016.01.004

Ali Borji, Mengyang Feng, Huchuan Lu, Vanishing point attracts gaze in free-viewing and visual search tasks, Journal of Vision, 2016.

Sema Candemir, Stefan Jaeger, Sameer Antani, Ulas Bagci, Les R. Folio, Ziyue Xu, George Thoma, Atlas-based Rib-Bone Detection in Chest X-rays, Computerized Medical Imaging and Graphics, Available online 13 April 2016, ISSN 0895-6111.

J Wang, A Borji, CC Kuo, L Itti, Learning a combined model of visual saliency for fixation prediction, IEEE Transactions on Image Processing, Volume 25, Issue 4, pp. 1566-1579, April 2016.

Reed F Johnson, Ulas Bagci, et al., 3B11-N, a monoclonal antibody against MERS-CoV, reduces lung pathology in rhesus monkeys following intratracheal inoculation of MERS-CoV Jordan-n3/2012, Virology, Volume 490, March 2016, Pages 49-58.

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2015

Georgios Z Papadakis, Corina Millo, Ulas Bagci, Samira M Sadowski, Constantine A Stratakis, Schmorl Nodes Can Cause Increased 68Ga DOTATATE Activity on PET/CT, Mimicking Metastasis in Patients With Neuroendocrine Malignancy, Clinical Nuclear Medicine, 2015.

Afshin Dehghan, Omar Oreifej and Mubarak Shah, Complex event recognition using constrained low-rank representation Image and Vision Computing (IVC), Volume 42, Pages 13-21, 2015.

Haroon Idrees, Khurram Soomro and Mubarak Shah, Detecting Humans in Dense Crowds using Locally-Consistent Scale Prior and Global Occlusion Reasoning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 37, Issue 10, pp. 1986-1998, 23 January 2015. http://dx.doi.org/10.1109/TPAMI.2015.2396051

Nasim Souly and Mubarak Shah, Visual Saliency Detection Using Group Lasso Regularization in Videos of Natural Scenes, International Journal of Computer Vision, 2015. http://doi.org/10.1007/s11263-015-0853-6

Becker, M.C. Freeman, L.Vogel, J.C. Johnsson, G.Olinger, J.P.Todd, U. Bagci*, J. Solomon, D.J. Mollura, L.Hansley, P. Jahriling, M.R. Denison, S.S.Rao, K.Subbarao, P.D.Kwong, J.R.Mascola, W.Kong, B.S. Graham, Evaluation of Candidate Vaccine Approaches for MERS-CoV, Nature Communications, Volume 6, Article Number: 7712, 28 July 2015. http://doi.org/10.1038/ncomms8712

J.V. Camp, U. Bagci*, Y. Chu, B. Squier, M. Fraig, S.M. Uriarte, H. Guo, D.J. Mollura, C.B. Jonsson, Lower Respiratory Tract Infection of the Ferret by 2009 H1N1 Pandemic Influenza A Virus Triggers Biphasic Systemic and Local Neutrophil Recruitment, Journal of Virology, in press, 2015.

Ziyue Xu, Ulas Bagci*, Brent Foster, Awais Mansoor, Jayaram K. Udupa, Daniel J. Mollura, A Hybrid Method for Airway Segmentation and Automated Measurement of Bronchial Wall Thickness on CT, Medical Image Analysis, Volume 24, Issue 1, Pages 1-17, August 2015. http://dx.doi.org/10.1016/j.media.2015.05.003

Ziyue Xu, Ulas Bagci*, Awais Mansoor, Gabriela Kramer-Marek, Brian Luna, Andre Kubler, Bappaditya Dey, Brent Foster, Georgios Z. Papadakis, Jeremy V. Camp, Colleen B. Jonsson, William R. Bishai, Sanjay Jain, Jayaram K. Udupa, Daniel J. Mollura, Computer-aided pulmonary image analysis in small animal models, Medical Physics, accepted, 2015.

Georgios Z. Papadakis, Corina Millo, Ulas Bagci*, Nicholas J. Patronas, Constantine A. Stratakis, Talc Pleurodesis with intense 18F-FDG activity but no 68Ga-DOTA-TATE activity on PET/CT, Clinical Nuclear Medicine, in press, 2015.

A.Mansoor, U. Bagci*, B.Foster, Z.Xu, G.Z. Papadakis, L. Folio, J.K. Udupa, D.J. Mollura, Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends, Radiographics, Vol. 35 (4), pp. 1056-1076, 2015.

G.Z. Papadakis, U. Bagci*, S.M. Sadowski, N.J. Patronas, C.A. Stratakis, Ectopic ACTH and CRH co-secreting tumor localized by 68Ga-DOTA-TATE PET/CT, Clinical Nuclear Medicine, in press, 2015.

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2014

Soumyabrata Dey, A. Ravishankar Rao, Mubarak Shah, Attributed graph distance measure for automatic detection of Attention Deficit Hyperactive Disordered subjects, Frontiers in Neural Circuits, Volume 8, Number 64, June 2014. http://dx.doi.org/10.3389/fncir.2014.00064

Amir Roshan Zamir, and Mubarak Shah, Image Geo-localization Based on Multiple Nearest Neighbor Feature Matching Using Generalized Graphs, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume PP, Issue 99, Pages 1-1, 2014, August 2014. http://dx.doi.org/10.1109/TPAMI.2014.2299799

Arnold W. M. Smeulders, Dung M. Chu, Rita Cucchiara, Simone Calderara, Afshin Dehghan and, and Mubarak Shah, Visual Tracking: an Experimental Survey, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 36, NO. 7, July 2014.

Subhabrata Bhattacharya, Ramin Mehran, Rahul Sukthankar, Mubarak Shah, Classification of Cinematographic Shots using Lie Algebra and its Application to Complex Event Recognition, IEEE Transactions on Multimedia, Volume 16, No. 3, Pages 686-696, January 2014. http://dx.doi.org/10.1109/TMM.2014.2300833

Haroon Idrees, Nolan Warner, and Mubarak Shah, Tracking in dense crowds using prominence and neighborhood motion concurrence, Image and Vision Computing, Volume 32, Issue 1, Pages 14-26, January 2014. http://dx.doi.org/10.1016/j.imavis.2013.10.006

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2013

Berkan Solmaz, Shayan Modiri A., and Mubarak Shah, Classifying Web Videos using a Global Video Descriptor, Machine Vision and Applications (MVA), Volume 24, Issue 7, Pages 1473-1485, October 2013. http://dx.doi.org/10.1007/s00138-012-0449-x

Salman Khokhar, Imran Saleemi, and Mubarak Shah, Multi-agent event recognition by preservation of spatiotemporal relationships between probabilistic models, Image and Vision Computing, Volume 31, Issue 9, Pages 603-615, September 2013. http://dx.doi.org/10.1016/j.imavis.2013.06.004

Imran Saleemi, and Mubarak Shah, Multiframe Many-Many Point Correspondence for Vehicle Tracking in High Density Wide Area Aerial Videos, International Journal of Computer Vision, Volume 104, Issue 2, Pages 198-219, September 2013.

Yang Yang, Imran Saleemi, and Mubarak Shah, Discovering Motion Primitives for Unsupervised Grouping and One-Shote Learning of Human Actions, Gestures, and Expressions, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Volume 35, Issue 7, Pages 1635-1648, July 2013.

Kishore K. Reddy, and Mubarak Shah, Recognizing 50 Human Action Categories of Web Videos, Machine Vision and Applications (MVA), Volume 24, Issue 5, pp 971-981, July 2013. http://dx.doi.org/10.1007/s00138-012-0450-4

Yu-Gang Jiang, Subhabrata Bhattacharya, Shih-Fu Chang, and Mubarak Shah, High-level event recognition in unconstrained videos, International Journal for Multimedia Information Retrieval, Vol. 2, Issue 2, pp 73-101, June 2013. http://dx.doi.org/10.1007/s13735-012-0024-2

P. Gupta, N. Da Vitoria Lobo, J.J. LaViola, Jon Harter, Phillip Napieralski, Markerless Tracking And Gesture Recognition Using Polar Correlation of Camera Optical Flow, Machine Vision and Applications Journal, Volume 24, Issue 3, pp 651-666, April 2013.

Hamid Izadinia, Imran Saleemi, and Mubarak Shah, Multimodal Analysis for Identification and Segmentation of Moving-Sounding Objects, IEEE Transactions on Multimedia, Volume 15, Issue 2, Pages 378-390, February 2013.

Oreifej, Xin Li, and Mubarak Shah, Simultaneous Video Stabilization and Moving Object Detection in Turbulence, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 35, Issue 2, Pages 450-462, February 2013.

Vladimir Reilly, Berkan Solmaz, and Mubarak Shah, Shadow Casting Out Of Plane (SCOOP) Candidates for Human and Vehicle Detection in Aerial Imagery, International Journal of Computer Vision, Volume 101, Issue 2, Pages 350-366, January 2013.

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2012

Soumyabrata Dey, A. Ravishankar Rao, and Mubarak Shah, Exploiting the brains network structure in identifying ADHD subjects, Frontiers in Systems Neuroscience, Volume 6, Article 75, Pages 1-13, November 16th, 2012.

Berkan Solmaz Brian E. Moore, and Mubarak Shah, Identifying Behaviours in Crowd Scenes Using Stability Analysis for Dynamical Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 34, Issue 10, Pages 2064-2070, October 2012.

Jingen Liu, Yang Yang, Imran Saleemi, and Mubarak Shah, Learning Semantic Features for Action Recognition via Diffusion Maps, Computer Vision and Image Understanding, Volume 116, Issue 3, March 2012.

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2011

Brian E. Moore, Saad Ali, Ramin Mehran, and Mubarak Shah, Visual Crowd Surveillance through a Hydrodynamics Lens, Communication of ACM, December 2011, vol. 54, no. 12, pp 64-73.

Subhabrata Bhattacharya, Rahul Sukthankar and Mubarak Shah, A holistic approach to aesthetic enhancement of photographs, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), Volume 75, Issue 1, October 2011.

Kingsley Osuala, Kathleen Telusma, Saad M. Khan, Shandon Wu, Mubarak Shah, Candice Baker, Sabikha Alam, Ibrahim Abukenda, Aura Fuentes, Hani B. Seifein, Steven N. Ebert, Distinctive Left-Sided Distribution of Adrenergic-Derived Cells in the Adult Mouse Heart, PLoS One, Volume 6, Issue 7, July 2011.

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2010

Saad Ali and Mubarak Shah, Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Volume 32, Issue 2, Pages: 288-303, February 2010. (#1 Ranked title in both Electrical Engineering & Artificial Intelligence according to the 2008 Journal Citations Report by Thomson-ISI.)

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2009

Alexei Gritai, Yaser Sheikh, Cen Rao and Mubarak Shah, Matching Trajectories of Anatomical Landmarks under Viewpoint Anthropometric, and Temporal Transforms, International Journal of Computer Vision (IJCV), Volume 84, Issue 3, Pages: 325-343, September 2009.

Jun Xie, Shahid Khan, and Mubarak Shah, Automatic Tracking of Escherichia Coli in Phase-Contrast Microscopy Video, IEEE Trans. on Biomedical Engineering, Vol. 56, no2, pp. 390-399, 2009.

I. Saleemi, K. Shafique, M.Shah, Probabilistic Modeling of Scene Dynamics for Applications in VIsual Surveillance , IEEE TPAMI 2008, Vol 31, No. 8, August 2009.

Pingkun Yan, Ashraf A. Kassim, Weijia Shen, and Mubarak Shah, Modeling Interaction for Segmentation of Neighboring Structures, IEEE Trans. on PAMI, Volume 31, Number 3, pp 505-519, March 2009.

Saad M. Khan and Mubarak Shah, Tracking Multiple Occluding People by Localizing on Multiple Scene Planes, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume: 31, Issue: 3, pp 505-519, March 2009.

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2008

Jun Xie, Pheng-Ann Heng, and Mubarak Shah, A Shape Matching Approach Using Skeletal Features and Context Descriptor, Pattern Recognition, Volume 41, Issue 5, May 2008.

J. Ahmed, M.N. Jafri, M.Shah, M. Akbar, Real-time edge enhanced dynamic correlation and predictive open-loop car-following control for robust tracking , Machine Vision and Applications (2008) 19:1-25.

J. Xie, P.A. Heng and Mubarak Shah, Image Diffusion Using Saliency Bilateral Filter , IEEE Transactions on Information Technology in Biomedicine, Volume 12, Number 6, 768-771, 2008.

Pavel Babenko and Mubarak Shah, MinGPU: A Minimum GPU Library for Computer Vision , Journal of Real-Time Processing, (2008) 3:255-268.

A. Yilmaz and M. Shah, A Differential Geometric Approach To Representing the Human Actions , Computer Vision and Image Understanding Journal, Vol. 109 No. 3, pp.335-351 2008

Omar Javed, Khurram Shafique, Zeeshan Rasheed and Mubarak Shah, Modeling intercamera spacetime and appearance relationships for tracking across non-overlapping views, Computer Vision and Image Understanding, Volume 109, Issue 2, February 2008, Pages 146-162.

Yaser Sheikh, and Mubarak Shah, Trajectory Association Across Multiple Airborne Cameras , IEEE Transactions on PAMI, Volume 30, No. 2, February 2008, Pages 361-367.

Pingkun Yan, Xiaobo Zhou, Mubarak Shah, and Stephen T.C. Wong, Automatic Segmentation of High Throughput RNAi Fluorescent Cellular Images , IEEE Trans. Information Technology in Biomedicine, Volume 12, Number 1, January 2008.

Arslan Basharat, Yun Zhai, Mubarak Shah, Content Based Video Matching Using Spatiotemporal Volumes , Computer Vision and Image Understanding (CVIU), Volume 110, Issue 3, June 2008, Pages 360-377.

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2007

Orkun Alatas, Pingkun Yan, and Mubarak Shah, Spatiotemporal Regularity Flow (SPREF): Its Estimation and Applications, IEEE Trans. Circuits and Systems for Video Technology, vol. 17, No. 5, May 2007, pp. 584-589.

Omar Javed, Khurram Shafique and Mubarak Shah, Automated Surveillance in Realistic Scenarios, IEEE MultiMedia, January/March 2007.

Asaad Hakeem and Mubarak Shah, Learning, Detection and Representation of Multi-Agent Events in Videos, Artificial Intelligence, 171 (2007) 586-605.

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2006

A. Yilmaz, O. Javed, and M. Shah, Object Tracking: A Survey, ACM Journal of Computing Surveys, Vol. 38, No. 4, 2006.

Alper Yilmaz and Mubarak Shah, Matching actions in presence of camera motion, Computer Vision and Image Understanding Vol. 104 (2006), pp. 221-231.

Orkun Alatas, Omar Javed and Mubarak Shah, Video Compression Using Spatiotemporal Regularity Flow, IEEE Transactions on Image Processing Vol. 15, No. 12, pp. 3812-3823, December 2006.

Mubarak Shah, Asaad Hakeem, Arslan Basharat, Detection and Tracking of Objects from Multiple Airborne Cameras, Publication of SPIE, March 2006.

Xiaochun Cao, Jiangjian Xiao, Hassan Foroosh, and Mubarak Shah, Self-Calibration from Turn-Table Sequences in the Presence of Zoom and Focus, Computer Vision and Image Understanding 102 (2006) 227-237.

Eraldo Ribeiro and Mubarak Shah, Computer Vision for Nanoscale Imaging, Machine Vision and Applications Journal, Vol. 17, Issue 3 (July 2006), pp. 147 - 162.

Paul Smith, Mubarak Shah, and Niels da Vitoria Lobo, Integrating Multiple Levels of Zoom to Enable Activity Analysis, Computer Vision and Image Understanding Vol. 103, Issue 1 (July 2006), pp.33-51.

Lisa Spencer and Mubarak Shah, Determining Scale and Sea State from Water Video, IEEE Transactions on Image Processing Vol. 15, No. 6, 2006.

Yun Zhai and Mubarak Shah, Video Scene Segmentation Using Markov Chain Monte Carlo, IEEE Transactions on Multimedia Vol.8, issue 4 (Aug 2006), pp.686-697.

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2005

Zeeshan Rasheed and Mubarak Shah, Detection and Representation of Scenes in Videos, IEEE Transactions on Multimedia, Vol. 7, No.6, December 2005.

Arslan Basharat, Asaad Hakeem, Mubarak Shah, and Abhijit Mahalanobis, Automatic Target Detection and Recognition in Video Sensor Network with Stationary and Mobile Nodes, OE Magazine, Member Publication of SPIE, November 2005.

Xiaochun Cao, Yuping Shen, Mubarak Shah, and Hassan Foroosh, Single View Compositing with Shadows, Visual Computer, Vol. 21, No. 8-10, pp. 639-648, September 2005.

Yaser Sheikh and Mubarak Shah, Bayesian Modelling of Dynamic Scenes for Object Detection, IEEE Transactions on PAMI Vol.27, issue 11 (Nov 2005), pp.1778-1792.

Yun Zhai, Zeeshan Rasheed, and Mubarak Shah, Semantic Classification of Movie Scenes Using Finite State Machines, IEEE Proceedings on Vision, Image and Signal Processing Vol.152, issue 6 (Dec 2005), pp.896-901

Khurram Hassan-Shafique and Mubarak Shah, A Non-Iterative Greedy Algorithm for Multi-frame Point Correspondence, IEEE Transactions on Pattern Analysis and Machine Intelligence Vol 27, issue 1 (Jan 2005), pp.51-65.

Jiangjian Xiao and Mubarak Shah, Motion Layer Extraction in the Presence of Occlusion using Graph Cut, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 10, pp. 1644-1659, 2005

Jiangjian Xiao and Mubarak Shah, Layer-Based Video Registration, Journal of Machine Vision and Applications Vol. 16, No.2, pp. 75-84, 2005.

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2004

Alper Yilmaz, Xin Li, and Mubarak Shah, Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No.11, pp. 1531-1536, 2004.

Jiangjian Xiao and Mubarak Shah, Tri-view Morphing, Special issue of "Computer Vision and Image Understanding" on Model-based and Image-based 3D Scene Representation for Interactive Visualization Vol. 96, issue 3 (2004), pp.345-366.

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2003

Zeeshan Rasheed, Yaser Sheikh, and Mubarak Shah, On the use of Computable Features for Film Classification, IEEE Transactions on Circuit and Systems for Video Technology, VOL. 1, NO. 11, September 2003.

G. Bebis. D. Egbert, and M. Shah, Review of Computer Vision Education, IEEE Transactions on Education, Vol. 46, No. 1, pp. 2-21, 2003.

Paul Smith, Mubarak Shah, and Niels da Vitoria Lobo, Determining Driver Visual Attention with One Camera, IEEE Transactions on Intelligent Transportation Systems, Vol. 4, No. 4, 2003.

Sohaib Khan and Mubarak Shah, Consistent Labeling of Tracked Objects in Multiple Cameras with Overlapping Fields of View, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 10, October 2003.

Mubarak Shah, Understanding Human Behavior from Motion Imagery, Machine Vision and Applications Journal, Vol. 14, pp. 210-214, September 2003.

Alper Yilmaz, Khurram Shafique, and Mubarak Shah, Target Tracking in Airborne Forward Looking Infrared Imagery, Image and Vision Computing Journal, Vol. 21, Issue 7, pp. 623-635, 2003.

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2002

Cen Rao, Alper Yilmaz, and Mubarak Shah, View-Invariant Representation And Recognition of Actions, International Journal of Computer Vision, Vol.50, Issue 2, 2002.

Mubarak Shah, The Changing Shape of Computer Vision in the Twenty First Century, International Journal of Computer Vision, Vol. 50, No. 2, pp. 103-110, November 2002.

Omar Javed, Sohaib Khan, Zeeshan Rasheed, and Mubarak Shah, Visual Content Based Segmentation of Talk and Game Shows, International Journal of Computers and Applications (ACTA press), June 2002.

Walter Phillips III, Mubarak Shah, and Niels da Vitoria Lobo, Flame Recognition in Video, Pattern Recognition Letters, Vol. 23 (1-3), pp. 319-327, January, 2002.

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2001

Douglas Ayers and Mubarak Shah, Monitoring Human Behavior from Video Taken in an Office Environment, Image and Vision Computing, Vol. 19, Issue 12, 1, pp. 833-846, October 2001.

Mubarak Shah, Kevin Bowyer, Mentoring Undergraduates in Computer Vision Research, IEEE Transactions on Education, Vol. 44, No. 3, pp. 252-257, August 2001.

M. Wallick, N. da Vitoria Lobo, and M. Shah, A Computer Vision Framework for Analyzing Computer and Overhead Projections from Within Video, International Journal of Computers and Their Applications - Special Issue on Intelligent Systems, Vol. 8, No. 2, pp. 89-100, June 2001.

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1999

Ruo Zhang, Ping-Sing Tsai, James Cryer, and Mubarak Shah, Shape from Shading: A Survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 8, pp. 690-706, August 1999. (The relevant code can be found HERE)

Niels Haering and Niels da Vitoria Lobo, Features and Classification Methods to Locate Deciduous Trees in Images, Journal of Computer Vision and Image Understanding, 1999.

Niels Haering, Richard Qian, and Ibrahim Sezan, A Semantic Event Detection Approach and Its Application to Detecting Hunts in Wildlife Video, IEEE Transactions on Circuits and Systems for Video Technology, 1999.

George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, and Mubarak Shah, Recognition by Learning Affine Transformations, Pattern Recognition, Vol. 32, No. 10, pp. 1783-1799, October 1999.

Ruo Zhang and Mubarak Shah, Shape from Intensity Gradient, IEEE Transactions on Systems, Man and Cybernetics, PART A, pp. 318-325, May 1999.

Y. H. Kwon and N. da Vitoria Lobo, Age Classification from Facial Images, Computer Vision and Image Understanding Journal, Vol. 74, No. 1, pp. 1-21, April 1999.

D. Kocak, N. da Vitoria Lobo, and E. Widder, Computer Vision Techniques for Quantifying, Tracking and Identifying Bioluminescent Plankton, IEEE Journal of Oceanic Engineering, Vol. 24, No. 1, pp. 81-95, January 1999.

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1998

Zarina Myles and Niels da Vitoria Lobo, Recovering Affine Motion and Defocus Blur Simultaneously, IEEE Transactions Pattern Analysis and Machine Intelligence, 1998.

George Bebis, Michael Gerogiopoulos, Niels da Vitoria Lobo, and Mubarak Shah, Indexing Based on Algebraic Functions of Views, Computer Vision and Image Understanding, Vol. 72, No. 3, pp. 360-378, 1998.

A. Ortega and M. Shah, From Shape from Shading to Object Recognition, International Journal of Artificial Intelligence and Pattern Recognition, Vol. 7, No. 12, pp. 969-984, November 1998.

Ping-Sing Tsai and Mubarak Shah, Shape from Shading with Variable Albedo, Optical Engineering, pp. 121-1220, April 1998.

Piotr Windyga, Mubarak Shah, et al, Three-dimensional Reconstruction of the Coronary Arteries using a priori Knowledge, Medical & Biological Engineering & Computing, Vol. 36, No. 2, pp. 158-164, March 1998.

George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, Using Self-organizing Maps to Learn Geometric Hash Functions for Model-based Object Recognition, IEEE Transactions on Neural Networks, Vol. 9, No. 3, pp. 560-570, May 1998.

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1997

Yu Tian and Mubarak Shah, Recovering 3D Motion and Structure using Adaptive Hough Transform, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 10, pp. 1178-1183, October 1997.

George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, and Mubarak Shah, Learning Affine Transformations, Pattern Recognition, Vol. 32, pp. 1783-1799, 1997.

Ruo Zhang and Mubarak Shah, Iterative Shape Recovery From Multiple Images, Image and Vision Computing, Vol. 15, pp. 801-814, November 1997.

J. Chen, N. da Vitoria Lobo, C. E. Hughes, and M. Moshell, Real-time Fluid Simulation in a Dynamic Virtual Environment, IEEE Computer Graphics and Applications, , pp. 52-61, May-Jun 1997.

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1996

Ruo Zhang, Ping-Sing Tsai and Mubarak Shah, Photomotion, CVGIP: Image Understanding, Vol. 63, No. 2, pp. 221-231, March 1996.

N. da Vitoria Lobo and J. K. Tsotsos, Computing Egomotion and Detecting Independent Motion from Image Motion using Collinear Points, Computer Vision and Image Understanding, Vol. 64, No. 1, pp. 21-52, July 1996.

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1995

Claudette Cedras and Mubarak Shah, Motion Based Recognition: A Survey, Image and Vision Computing, Vol. 13, No. 2, pp. 129-155, March 1995.

James Cryer, Ping-Sing Tsai, and Mubarak Shah, Shape from Shading and Stereo, Pattern Recognition, Vol. 28, No. 7, pp. 1033-1043, July 1995.

J. Chen and N. da Vitoria Lobo, Real-time Fluid Modeling using Navier-Stokes Equation, Graphical Models and Image Processing, pp. 107-116, March 1995.

Yu Tian and Mubarak Shah, Motion Estimation and Segmentation, Machine Vision and Applications, Vol. 9, pp. 32-42, 1995.

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1994

James Davis and Mubarak Shah, Visual Gesture Recognition, Vision, Image and Signal Processing, Vol. 141, No. 2, April 1994.

Ping-sing Tsai and Mubarak Shah, Shape From Shading Using Linear Approximation, Image and Vision Computing Journal, 1994.

Ping-Sing Tsai, Mubarak Shah, Katharine Keiter, and Takis Kasparis, Cyclic Motion Detection for Motion Based Recognition, Pattern Recognition, Vol. 27, No. 12, 1994.

Ping-Sing Tsai and Mubarak Shah, Shape from Shading using Linear Approximation, Image and Vision Computing, Vol. 12, No. 8, pp. 487-498, October 1994.

James Davis and Mubarak Shah, Toward 3-D Gesture Recognition, Pattern Recognition and Artificial Intelligence Journal, Vol. 13, No. 3, pp. 381-393, May 1994.

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1993

Krishnan Rangarajan, Bill Allen, and Mubarak Shah, Matching Motion Trajectories, Pattern Recognition, Vol. 26, No. 4, pp. 595-610, April 1993.

Mubarak Shah, Krishnan Rangarajan, and Ping-Sing Tsai, Motion Trajectories, IEEE Transaction on Systems, Man and Cybernetics, Vol. 23, No. 4, pp. 1138-1150, August 1993.

Donna Williams and Mubarak Shah, Edge Characterization Using Normalized Edge Detection, CVGIP: Graphical Models and Image Processing, Vol. 55, No. 4, pp. 311-318, July 1993.

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1992

J. Hackett, M. Lavoie, and M. Shah, Three Dimensional Object Recognition Using Multiple Sensors, Journal of Information and Science and Technology, Vol. 2, No.1 October 1992.

Krishnan Rangarajan and Mubarak Shah, Interpretation of Motion Trajectories Using Focus of Expansion, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 14, No. 12, December 1992.

Donna Williams and Mubarak Shah, A Fast Algorithm for Active Contours and Curvature Estimation, Computer Vision, Graphics and Image Processing, Vol. 55, No. 1, pp. 14-26, January 1992.

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1991

Krishnan Rangarajan and Mubarak Shah, Establishing Motion Correspondence, Computer Vision, Graphics and Image Processing: Image Understanding, pp 56-73, July 1991.

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1990

Donna Williams and Mubarak Shah, Edge Contours Using Multiple Scales, Computer Vision, Graphics and Image Processing, Vol. 51, pp. 256-274, September 1990.

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1989

Jay Hackett, and Mubarak Shah, Segmentation using Range and Intensity Data, Optical Engineering, Vol. 28, No. 6, pp. 667-674, June 1989.

Krishnan Rangarajan, Mubarak Shah, and David Van Brackle, Optimal Corner Detector, Computer Vision, Graphics and Image Processing, Vol. 48, pp. 230-245, November 1989.

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1988

N. Ranganathan and M. Shah, A VLSI Architecture for Scale-Space, Computer Vision, Graphics and Image Processing, Vol. 43, pp. 178-204, August 1988.

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1986

M. Shah, A. Sood, and R. Jain, Pulse and Staircase Edge Models, Computer Vision, Graphics and Image Processing, Vol. 34, pp. 321-343, June 1986.

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1984

M. Shah and R. Jain, Detecting Time Varying Corners, Computer Vision, Graphics and Image Processing, Vol. 28, pp. 345-355, December 1984.

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Technical Reports

Dong Zhang, Omar Oreifej and Mubarak Shah, Face Verification Using Boosted Cross-Image Features, Technical Report, September 2013. (http://arxiv-web3.library.cornell.edu/abs/1309.7434)

Khurram Soomro, Amir Roshan Zamir and Mubarak Shah, UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild, Technical Report, November 2012. (http://arxiv.org/abs/1212.0402)

Yu-Gang Jiang, Xiaohong Zeng, Guangnan Ye, Subhabrata Bhattacharya, Dan Ellis, Mubarak Shah and Shih-Fu Chang, Columbia-UCF TRECVID 2010 Multimedia Event Detection: Combining Multiple Modalities, Contextual Concepts, and Temporal Matching, Technical Report, 2010.

Orkun Alatas, Pingkun Yan, and Mubarak Shah, Spatiotemporal Regularity Flow (SPREF), Technical Report, 2006.

Niels Haering and Niels da Vitoria Lobo, A Framework for Designing Event Detectors, Technical Report, 1999.

Niels Haering, Richard Qian, Ibrahim Sezan, and Niels da Vitoria Lobo, Detecting Hunts in Wildlife Documentaries, Technical Report, 1999.

Mubarak Shah, Kevin Bowyer, and Niels da Vitoria Lobo, Research Experience for Undergraduates in Computer Vision, Technical Report, 1996.

Mubarak Shah and Kevin Bowyer, Mentoring Undergradutates in Computer Vision Research, Technical Report, 1995.

Li Nan, Shawn Dettmer, and Mubarak Shah, Lipreading Using Spatiotemporal Eigen Decomposition, Technical Report, 1995.

Glenn A. Martin and Mubarak Shah, Lipreading by Optical Flow Correlation, Technical Report, 1994.

Claudette Cédras and Mubarak Shah, Motion-Based Recognition: a Survey, Technical Report, 1994.

Ping-sing Tsai, Mubarak Shah, Katharine Keiter, and Takis Kasparis, Cyclic Motion Detection, Technical Report, 1993

Ruo Zhang, Ping-sing Tsai, and Mubarak Shah, Depth from Photomotion, Technical Report, 1993.

Ruo Zhang, Ping-sing Tsai, James Edwin Cryer, and Mubarak Shah, Analysis of Shape-from-shading techniques, Technical Report, 1993.

James Edwin Cryer, Ping-sing Tsai, and Mubarak Shah, Combining Shape from Shading and Stereo Using Human Vision Model, Technical Report, 1992.

Ping-sing Tsai and Mubarak Shah, Shape From Shading Using Linear Approximation, Technical Report, 1992.

Mubarak Shah, Krishnan Rangarajan, and Ping-sing Tsai, Motion Trajectories, Technical Report, 1992.

Theses

M.S.

A Statistical Approach to View Synthesis by Berkowitz, Phillip, M.S., University of Central Florida, 2009, 67 pages.

Combining Audio and Video Tempo Analysis for Dance Detection by Faircloth, Ryan, M.S., University of Central Florida, 2008, 72 pages.

Semantic Video Retrieval Using High Level Context by Aytar, Yusuf, M.S., University of Central Florida, 2008, 65 pages.

Ph.D.

Online, Supervised and Unsupervised Action Localization in Videos by Soomro, Khurrram, Ph.D., University of Central Florida, 2017, 130 pages. <[Video of Presentation]>

Visual Saliency Detection and Semantic Segmentation by Souly, Nasim, Ph.D., University of Central Florida, 2017, 173 pages.

Understanding Images and Videos Using Context by Vaca, Gonzalo, Ph.D., University of Central Florida, 2017, 157 pages. [Video of Presentation]

Weekly Labeled Action Recognition and Detection by Sultani, Waqas, Ph.D., University of Central Florida, 2017.

Spatiotemporal Graphs for Object Segmentation and Human Pose Estimation in Videos by Zhang, Dong, Ph.D., University of Central Florida, 2016.

Global Data Association for Multiple Pedestrian Tracking by Dehghan, Afshin, Ph.D., University of Central Florida, 2016, 127 pages. [Video of Presentation]

Human Detection, Tracking and Segmentation in Surveillance Video by Shu, Guang, Ph.D., University of Central Florida, 2014, 147 pages.

Visual Analysis of Extremely Dense Crowded Scenes by Idrees, Haroon, Ph.D., University of Central Florida, 2014, 129 pages.

Automatic Detection of Brain Functional Disorder Using Imaging Data by Dey, Soumyabrata, Ph.D., University of Central Florida, 2014, 131 pages.

Taming Wild Faces: Web-Scale, Open-Universe Face Identification in Still and Video Imagery by Ortiz, Enrique, Ph.D., University of Central Florida, 2014, 115 pages.

Visual Geo-Localization and Location-Aware Image Understanding by Roshan Zamir, Amir, Ph.D., University of Central Florida, 2014, 162 pages.

Learning Hierarchichal Representations for Video Analysis Using Deep Learning by Yang, Yang, Ph.D., University of Central Florida, 2013, 107 pages.

Recognition of Complex Events in Open-Source Web-Scale Videos: Features, Intermediate Representations and their Temporal Interactions by Bhattacharya, Subh, Ph.D., University of Central Florida, 2013, 171 pages.

Holistic Representations for Activities and Crowd Behaviors by Solmaz berkan, Ph.D., University of Central Florida, 2013.

Robust Subspace Estimation Using Low-Rank Optimization Theory and Applications in Scene Reconstruction, Video De-noising, and Activity Recognition by Oreifej, Omar, Ph.D., University of Central Florida, 2013.

Detecting, Tracking, and Recognizing Activities of Targets of Interest in Aerial Video by Reilly, Vladimir, Ph.D., University of Central Florida, 2012, 106 pages.

Action Recognition Using Particle Flow Fields by Reddy, Kishore, Ph.D., University of Central Florida, 2012, 102 pages.

Learning Crowd Motion Analysis by Mehran, Ramin, Ph.D., University of Central Florida, 2011, 96 pages.

Pattern of Motion: Discovery and Generalized Representation by Saleemi, Imran, Ph.D., University of Central Florida, 2011, 139 pages.

Spatio-Temporal Maximum Average Correlation Height Templates in Action Recognition and Video Summarization by Rodriguez, Mikel, Ph.D., University of Central Florida, 2010, 97 pages.

Visual Inspection of Railroad Track by Babenko, Pavel, Ph.D., University of Central Florida, 2009, 98 pages.

Learning Semantic Features for Visual Recognition by Liu, Jingen, Ph.D., University of Central Florida, 2009, 157 pages.

Modeling Scenes and Human Activities In Videos by Basharat, Arslan, Ph.D., University of Central Florida, 2009, 126 pages.

Taming Crowded Visual Scenes by Ali, Saad, Ph.D., University of Central Florida, 2008, 187 pages.

Multi-view Approaches to Tracking, 3D Reconstruction and Object Class Detection by Khan, Saad, Ph.D., University of Central Florida, 2008, 163 pages.

Learning, detection, representation, indexing and retrieval of multi-agent events in videos by Hakeem, Asaad, Ph.D., University of Central Florida, 2007, 158 pages.

Multi-view geometric constraints for human action recognition and tracking by Gritai, Alexei, Ph.D., University of Central Florida, 2007, 133 pages.

Video Content Extraction: Scene Segmentation, Linking and Attention Detection by Zhai, Yun, Ph.D., University of Central Florida, 2006, 127 pages.

Object association across multiple moving cameras in planar scenes by Sheikh, Yaser, Ph.D., University of Central Florida, 2006, 146 pages.

Multizoom activity recognition using machine learning by Smith, Paul, Ph.D., University of Central Florida, 2005, 191 pages.

Scene monitoring with a forest of cooperative sensors by Javed, Omar, Ph.D., University of Central Florida, 2005, 175 pages.

Partitioning a graph in alliances and its application to data clustering by Hassan Shafique, Khurram, Ph.D., University of Central Florida, 2004, 153 pages.

Image based view synthesis by Xiao, Jiangjian, Ph.D., University of Central Florida, 2004, 182 pages.

Object tracking and activity recognition in video acquired using mobile cameras by Yilmaz, Alper, Ph.D., University of Central Florida, 2004, 240 pages.

Video categorization using semantics and semiotics by Rasheed, Zeeshan, Ph.D., University of Central Florida, 2003, 120 pages.

Invariance in human action analysis by Rao, Cen, Ph.D., University of Central Florida, 2003, 133 pages.

Visual tracking of people and object-based video segmentation by Khan, Sohaib Ahmad, Ph.D., University of Central Florida, 2002, 148 pages.

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