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ORCIDPhilippe Burlina
Philippe M. Burlina
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- affiliation: Johns Hopkins University
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2020 – today
- 2024
[j24]Adam Gronowski
, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures. IEEE Trans. Inf. Forensics Secur. 19: 1630-1645 (2024)- [c79]Bo Hui, Haolin Yuan, Neil Gong, Philippe Burlina, Yinzhi Cao:
PLeak: Prompt Leaking Attacks against Large Language Model Applications. CCS 2024: 3600-3614 - [c78]Haolin Yuan, William Paul, John N. Aucott, Philippe Burlina, Yinzhi Cao:
PFEDEDIT: Personalized Federated Learning via Automated Model Editing. ECCV (79) 2024: 91-107 - [i23]Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Philippe Burlina, Yinzhi Cao:
PLeak: Prompt Leaking Attacks against Large Language Model Applications. CoRR abs/2405.06823 (2024) - 2023
- [c77]Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao:
Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. DSN 2023: 288-301 - [c76]Haolin Yuan, John N. Aucott, Armin Hadzic, William Paul, Marcia Villegas de Flores, Philip Mathew, Philippe Burlina, Yinzhi Cao:
EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. MICCAI (4) 2023: 374-384 - [c75]Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina:
Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? WACV 2023: 1380-1389 - [i22]William Paul, Philip Mathew, Fady Alajaji, Philippe Burlina:
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility. CoRR abs/2302.07917 (2023) - 2022
- [j23]William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, Philippe Burlina:
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization. Neural Comput. 34(3): 716-753 (2022) - [c74]William Paul, Philippe Burlina:
Robustness and Adaptation to Hidden Factors of Variation. CVPR Workshops 2022: 122-129 - [c73]Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Rényi Fair Information Bottleneck for Image Classification. CWIT 2022: 11-15 - [c72]Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Addressing Heterogeneity in Federated Learning via Distributional Transformation. ECCV (38) 2022: 179-195 - [c71]Nathan Drenkow, Neil Fendley, Philippe Burlina:
Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis. WACV 2022: 2815-2825 - [i21]Haolin Yuan, Armin Hadzic, William Paul, Daniella Villegas de Flores, Philip Mathew, John N. Aucott, Yinzhi Cao, Philippe Burlina:
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation. CoRR abs/2202.13883 (2022) - [i20]William Paul, Philippe Burlina:
Robustness and Adaptation to Hidden Factors of Variation. CoRR abs/2203.01864 (2022) - [i19]Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Renyi Fair Information Bottleneck for Image Classification. CoRR abs/2203.04950 (2022) - [i18]Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Achieving Utility, Fairness, and Compactness via Tunable Information Bottleneck Measures. CoRR abs/2206.10043 (2022) - [i17]Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Addressing Heterogeneity in Federated Learning via Distributional Transformation. CoRR abs/2210.15025 (2022) - 2021
- [j22]William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina:
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection. Neural Comput. 33(3): 802-826 (2021) - [j21]Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Least kth-Order and Rényi Generative Adversarial Networks. Neural Comput. 33(9): 2473-2510 (2021) - [c70]William Paul, Yinzhi Cao, Miaomiao Zhang, Philippe Burlina:
Defending Medical Image Diagnostics Against Privacy Attacks Using Generative Methods: Application to Retinal Diagnostics. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 174-187 - [c69]Nathan Drenkow, Philippe Burlina, Neil Fendley, Onyekachi Odoemene, Jared Markowitz:
Addressing Visual Search in Open and Closed Set Settings. CVPR Workshops 2021: 1143-1151 - [c68]Max Lennon, Nathan Drenkow, Philippe Burlina:
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? ICCVW 2021: 112-121 - [c67]Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. NDSS 2021 - [i16]Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. CoRR abs/2101.01341 (2021) - [i15]William Paul, Yinzhi Cao, Miaomiao Zhang, Philippe Burlina:
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods. CoRR abs/2103.03078 (2021) - [i14]Neil Joshi, Philippe M. Burlina:
AI Fairness via Domain Adaptation. CoRR abs/2104.01109 (2021) - [i13]William Paul, Philippe Burlina:
Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes. CoRR abs/2107.13625 (2021) - [i12]Max Lennon, Nathan Drenkow, Philippe Burlina:
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? CoRR abs/2108.07229 (2021) - 2020
- [j20]Philippe M. Burlina, Neil J. Joshi, Phil A. Mathew, William Paul, Alison W. Rebman, John N. Aucott:
AI-based detection of erythema migrans and disambiguation against other skin lesions. Comput. Biol. Medicine 125: 103977 (2020) - [c66]Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow:
Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. ECCV Workshops (1) 2020: 105-119 - [i11]William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina:
Unsupervised Semantic Attribute Discovery and Control in Generative Models. CoRR abs/2002.11169 (2020) - [i10]Philippe Burlina, Neil Joshi, William Paul, Katia D. Pacheco, Neil M. Bressler:
Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics. CoRR abs/2004.13515 (2020) - [i9]Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow:
Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. CoRR abs/2005.00656 (2020) - [i8]Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Rényi Generative Adversarial Networks. CoRR abs/2006.02479 (2020) - [i7]Philippe M. Burlina, William Paul, Phil A. Mathew, Neil J. Joshi, Alison W. Rebman, John N. Aucott:
AI Progress in Skin Lesion Analysis. CoRR abs/2009.13323 (2020) - [i6]William Paul, Armin Hadzic, Neil Joshi, Philippe Burlina:
RENATA: REpreseNtation And Training Alteration for Bias Mitigation. CoRR abs/2012.06387 (2020) - [i5]Nathan Drenkow, Neil Fendley, Philippe Burlina:
Random Projections for Adversarial Attack Detection. CoRR abs/2012.06405 (2020) - [i4]Nathan Drenkow, Philippe Burlina, Neil Fendley, Kachi Odoemene, Jared Markowitz:
Objectness-Guided Open Set Visual Search and Closed Set Detection. CoRR abs/2012.06509 (2020)
2010 – 2019
- 2019
- [j19]Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda:
Deep embeddings for novelty detection in myopathy. Comput. Biol. Medicine 105: 46-53 (2019) - [j18]Philippe M. Burlina, Neil Joshi, Elise Ng, Seth D. Billings, Alison W. Rebman, John N. Aucott:
Automated detection of erythema migrans and other confounding skin lesions via deep learning. Comput. Biol. Medicine 105: 151-156 (2019) - [j17]Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina:
Deep learning based retinal OCT segmentation. Comput. Biol. Medicine 114 (2019) - [c65]Philippe Burlina, Neil Joshi, I-Jeng Wang:
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. CVPR 2019: 11507-11516 - [c64]Kapil D. Katyal, Katie M. Popek, Chris Paxton, Philippe Burlina, Gregory D. Hager:
Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation. ICRA 2019: 5453-5459 - [c63]Philippe Burlina, Neil J. Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda:
Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis Screening. ISBI 2019: 1910-1914 - 2018
- [c62]Valentina Bellemo, Philippe Burlina, Liu Yong, Tien Yin Wong, Daniel Shu Wei Ting:
Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis. ACCV Workshops 2018: 289-302 - [c61]Philippe Burlina, Neil Joshi, Neil M. Bressler:
AI-based AMD Analysis: A Review of Recent Progress. ACCV Workshops 2018: 303-308 - [c60]Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina:
OCT Segmentation via Deep Learning: A Review of Recent Work. ACCV Workshops 2018: 316-322 - [c59]Edward W. Staley, Kapil D. Katyal, Philippe Burlina:
DRL Based Intelligent Joint Manipulator and Viewing Camera Control for Reaching Tasks and Environments with Obstacles and Occluders. IJCNN 2018: 1-7 - [c58]Philippe Burlina, Neil Joshi, Elise Ng, Seth Billings, Alison W. Rebman, John N. Aucott:
Skin Image Analysis for Erythema Migrans Detection and Automated Lyme Disease Referral. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 244-251 - [i3]Michael J. Pekala, Neil Joshi, David E. Freund, Neil M. Bressler, Delia Cabrera DeBuc, Philippe M. Burlina:
Deep Learning based Retinal OCT Segmentation. CoRR abs/1801.09749 (2018) - [i2]Kapil D. Katyal, Katie M. Popek, Chris Paxton, Joseph L. Moore, Kevin C. Wolfe, Philippe Burlina, Gregory D. Hager:
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation. CoRR abs/1803.02007 (2018) - 2017
- [j16]Philippe Burlina, Katia D. Pacheco, Neil Joshi, David E. Freund, Neil M. Bressler:
Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis. Comput. Biol. Medicine 82: 80-86 (2017) - [c57]Kapil D. Katyal, I-Jeng Wang, Philippe Burlina:
Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks. CVPR Workshops 2017: 490-491 - [c56]Neil Joshi, Seth Billings, Erika Schwartz, Susan C. Harvey, Philippe Burlina:
Machine Learning Methods for 1D Ultrasound Breast Cancer Screening. ICMLA 2017: 711-715 - [c55]Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina:
A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. ICMLA 2017: 716-720 - [c54]Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang:
Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning. MVA 2017: 194-197 - [i1]Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang:
Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning. CoRR abs/1712.03151 (2017) - 2016
- [c53]Derek M. Rollend, Paul E. Rosendall, Seth Billings, Philippe Burlina, Kevin C. Wolfe, Kapil D. Katyal:
Face Detection and Object Recognition for a Retinal Prosthesis. ACCV Workshops (1) 2016: 303-313 - [c52]Derek M. Rollend, Paul E. Rosendall, Kevin C. Wolfe, Dean M. Kleissas, Seth Billings, Jonathan M. Oben, John B. Helder, Francesco Tenore, Philippe M. Burlina, Arup Roy, Robert J. Greenberg, Kapil D. Katyal:
Embedded clutter reduction and face detection algorithms for a visual prosthesis. EMBC 2016: 411-414 - [c51]Seth Billings, Jemima Albayda, Philippe Burlina:
Ultrasound image analysis for myopathy detection. ICPR 2016: 1461-1465 - [c50]Philippe Burlina:
MRCNN: A stateful Fast R-CNN. ICPR 2016: 3518-3523 - [c49]Philippe Burlina, David E. Freund, Neil Joshi, Y. Wolfson, Neil M. Bressler:
Detection of age-related macular degeneration via deep learning. ISBI 2016: 184-188 - 2015
- [j15]Saurabh Vyas, Jon Meyerle, Philippe Burlina:
Non-invasive estimation of skin thickness from hyperspectral imaging and validation using echography. Comput. Biol. Medicine 57: 173-181 (2015) - [j14]Albert K. Feeny, Mongkol Tadarati, David E. Freund, Neil M. Bressler, Philippe Burlina:
Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images. Comput. Biol. Medicine 65: 124-136 (2015) - [c48]Purnima Rajan, Philippe Burlina, M. Chen, D. Edell, Bruno Jedynak, N. Mehta, Ayushi Sinha, Gregory D. Hager:
Autonomous on-board Near Earth Object detection. AIPR 2015: 1-10 - [c47]Philippe M. Burlina, Aurora C. Schmidt, I-Jeng Wang:
Zero Shot Deep Learning from Semantic Attributes. ICMLA 2015: 871-876 - 2014
- [c46]Saurabh Vyas, James S. Gammie, Philippe Burlina:
Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography. CBMS 2014: 149-152 - [c45]Saurabh Vyas, Jon Meyerle, Philippe Burlina:
Cross validating hyperspectral with Ultrasound-based skin thickness estimation. WHISPERS 2014: 1-4 - 2013
- [j13]Chad Sprouse, Ryan Mukherjee, Philippe Burlina:
Mitral Valve Closure Prediction With 3-D Personalized Anatomical Models and Anisotropic Hyperelastic Tissue Assumptions. IEEE Trans. Biomed. Eng. 60(11): 3238-3247 (2013) - [c44]Saurabh Vyas, Amit Banerjee, Philippe Burlina:
Machine learning methods for in vivo skin parameter estimation. CBMS 2013: 524-525 - [c43]Saurabh Vyas, Ryan Mukherjee, Federico Sosa, Philippe Burlina:
Endocardium segmentation in 3D Transesophageal Echocardiography. ISBI 2013: 57-60 - [c42]Saurabh Vyas, Amit Banerjee, Luis Garza, Sewon Kang, Philippe Burlina:
Hyperspectral signature analysis of skin parameters. Computer-Aided Diagnosis 2013: 867002 - [c41]Nathan Drenkow, Philippe Burlina, I-Jeng Wang, Daniel DeMenthon, Craig Carmen:
A practical test set bound for rank learning. MLSP 2013: 1-6 - 2012
- [c40]Chad Sprouse, Ryan Mukherjee, Philippe Burlina:
Valvular closure prediction using anisotropic and hyperelastic tissue models and individualized anatomy derived from RT3DE. EMBC 2012: 6632-6635 - [c39]Philippe Burlina, Ryan Mukherjee, Chad Sprouse:
A personalized mitral valve closure simulator. EMBC 2012: 6636-6640 - [c38]Ryan Mukherjee, Aurelio Pinheiro, James S. Gammie, David D. Yuh, Theodore Abraham, Elliot R. McVeigh, Philippe Burlina:
Dense myocardial motion from 4D ultrasound: Comparative performance evaluation. ISBI 2012: 278-281 - 2011
- [c37]Philippe Burlina, David E. Freund, B. Dupas, Neil M. Bressler:
Automatic screening of age-related macular degeneration and retinal abnormalities. EMBC 2011: 3962-3966 - [c36]Chad Sprouse, Daniel DeMenthon, James S. Gammie, Philippe Burlina:
Patient-specific modeling of stress/strain for surgical planning and guidance. EMBC 2011: 4309-4313 - [c35]Philippe Burlina, Ryan Mukherjee, Radford Juang, Chad Sprouse:
Recovering Endocardial Walls from 3D TEE. FIMH 2011: 284-293 - [c34]Radford Juang, Elliot R. McVeigh, Beatrice Hoffmann, David D. Yuh, Philippe Burlina:
Automatic segmentation of the left-ventricular cavity and atrium in 3D ultrasound using graph cuts and the radial symmetry transform. ISBI 2011: 606-609 - [c33]Ryan Mukherjee, Chad Sprouse, Theodore Abraham, Beatrice Hoffmann, Elliot R. McVeigh, David D. Yuh, Philippe Burlina:
Myocardial motion computation in 4D ultrasound. ISBI 2011: 1070-1073 - 2010
- [j12]Anne Jorstad, Daniel DeMenthon, I-Jeng Wang, Philippe Burlina:
Distributed Consensus on Camera Pose. IEEE Trans. Image Process. 19(9): 2396-2407 (2010) - [j11]Amit Banerjee, Philippe Burlina:
Efficient Particle Filtering via Sparse Kernel Density Estimation. IEEE Trans. Image Process. 19(9): 2480-2490 (2010) - [c32]Amit Banerjee, Radford Juang, Joshua B. Broadwater, Philippe Burlina:
Sparse feature extraction for Support Vector Data Description applications. IGARSS 2010: 4236-4239 - [c31]Philippe Burlina, Chad Sprouse, Daniel DeMenthon, Anne Jorstad, Radford Juang, Francisco Contijoch, Theodore Abraham, David D. Yuh, Elliot R. McVeigh:
Patient-Specific Modeling and Analysis of the Mitral Valve Using 3D-TEE. IPCAI 2010: 135-146 - [c30]Francisco Contijoch, Laura Fernandez-de-Manuel, Tri Ngo, Joshua Stearns, Kelly L. Grogan, MaryBeth Brady, Philippe Burlina, Andrés Santos, David D. Yuh, Daniel A. Herzka, María J. Ledesma-Carbayo, Elliot R. McVeigh:
Increasing temporal resolution of 3D transesophageal ultrasound by rigid body registration of sequential, temporally offset sequences. ISBI 2010: 328-331
2000 – 2009
- 2009
- [c29]Radford Juang, Philippe Burlina:
Comparative performance evaluation of GM-PHD filter in clutter. FUSION 2009: 1195-1202 - [c28]David E. Freund, Neil M. Bressler, Philippe Burlina:
Automated Detection of Drusen in the Macula. ISBI 2009: 61-64 - [c27]Radford Juang, Andre Levchenko, Philippe Burlina:
Tracking Cell Motion Using GM-PHD. ISBI 2009: 1154-1157 - [c26]Amit Banerjee, Philippe Burlina, Joshua B. Broadwater:
Hyperspectral video for illumination-invariant tracking. WHISPERS 2009: 1-4 - 2008
- [c25]Radford Juang, Philippe Burlina, Amit Banerjee:
Level set segmentation of hyperspectral images using joint spectral edge and signature information. FUSION 2008: 1-7 - [c24]David E. Freund, Philippe Burlina, Amit Banerjee:
Characterization of spatial ordering of corneal stroma fibrils. ISBI 2008: 963-966 - 2007
- [c23]Amit Banerjee, Philippe Burlina, Reuven Meth:
Fast Hyperspectral Anomaly Detection via SVDD. ICIP (4) 2007: 101-104 - [c22]Amit Banerjee, Philippe Burlina, Joshua B. Broadwater:
A machine learning approach for finding hyperspectral endmembers. IGARSS 2007: 3817-3820 - [c21]Joshua B. Broadwater, Rama Chellappa, Amit Banerjee, Philippe Burlina:
Kernel fully constrained least squares abundance estimates. IGARSS 2007: 4041-4044 - 2006
- [j10]Amit Banerjee, Philippe Burlina, Chris Diehl:
A support vector method for anomaly detection in hyperspectral imagery. IEEE Trans. Geosci. Remote. Sens. 44(8): 2282-2291 (2006)
1990 – 1999
- 1999
- [j9]Chandra Shekhar, Sabine Moisan, Régis Vincent, Philippe Burlina, Rama Chellappa:
Knowledge-based control of vision systems. Image Vis. Comput. 17(9): 667-683 (1999) - [j8]Fady Alajaji, Saud A. Al-Semari, Philippe Burlina:
Visual communication via trellis coding and transmission energy allocation. IEEE Trans. Commun. 47(11): 1722-1728 (1999) - [j7]Amit Banerjee, Philippe Burlina, Fady Alajaji:
Image segmentation and labeling using the Polya urn model. IEEE Trans. Image Process. 8(9): 1243-1253 (1999) - [j6]Amit Banerjee, Philippe Burlina, Rama Chellappa:
Adaptive target detection in foliage-penetrating SAR images using alpha-stable models. IEEE Trans. Image Process. 8(12): 1823-1831 (1999) - [c20]A. N. Rajagopalan, Philippe Burlina, Rama Chellappa:
Higher Order Statistical Learning for Vehicle Detection in Images. ICCV 1999: 1204-1209 - [c19]Chiraz BenAbdelkader, Philippe Burlina, Larry S. Davis:
Single Camera Multiplexing for Multi-Target Tracking. ICIAP 1999: 1140-1143 - [c18]A. N. Rajagopalan, Philippe Burlina, Rama Chellappa:
Detection of people in images. IJCNN 1999: 2747-2752 - 1998
- [j5]Philippe Burlina, Rama Chellappa:
Temporal Analysis of Motion in Video Sequences through Predictive Operators. Int. J. Comput. Vis. 28(2): 175-192 (1998) - [j4]Philippe Burlina, Fady Alajaji:
An error resilient scheme for image transmission over noisy channels with memory. IEEE Trans. Image Process. 7(4): 593-600 (1998) - [c17]Amit Banerjee, Philippe Burlina, Fady Alajaji:
Contagion-Based Image Segmentation and Labeling. ICCV 1998: 255-260 - [c16]Amit Banerjee, Philippe Burlina, Rama Chellappa, Rohit Kapoor:
Frequency Dependence of ATD Performance in Foliage-Penetrating SAR Images. ICIP (1) 1998: 578-582 - [c15]Gamze D. Cetintemel, Philippe Burlina:
On-the-Fly Snake Construction from Video. ICIP (3) 1998: 638-642 - [c14]Chandra Shekhar, Sabine Moisan, Régis Vincent, Philippe Burlina, Rama Chellappa:
Use of Knowledge-Based Control for Vision Systems. IEA/AIE (Vol. 2) 1998: 427-436 - 1997
- [j3]Rama Chellappa, Qinfen Zheng, Philippe Burlina, Chandra Shekhar, Kie B. Eom:
On the positioning of multisensor imagery for exploitation and target recognition. Proc. IEEE 85(1): 120-138 (1997) - [j2]Philippe Burlina, Rama Chellappa:
A spectral attentional mechanism tuned to object configurations. IEEE Trans. Image Process. 6(8): 1117-1128 (1997) - [c13]Vasu Parameswaran, Philippe Burlina, Rama Chellappa:
Performance analysis and learning approaches for vehicle detection and counting in aerial images. ICASSP 1997: 2753-2756 - [c12]Carlos Morimoto, Philippe Burlina, Rama Chellappa:
Video Coding Using Hybrid Motion Compensation. ICIP (1) 1997: 89-92 - [c11]Murari Srinivasan, Rama Chellappa, Philippe Burlina:
Adaptive source-channel subband video coding for wireless channels. MMSP 1997: 407-412 - 1996
- [j1]Philippe Burlina, Rama Chellappa:
Analyzing Looming Motion Components From Their Spatiotemporal Spectral Signature. IEEE Trans. Pattern Anal. Mach. Intell. 18(10): 1029-1033 (1996) - [c10]Philippe Burlina, Bruce Lin, Rama Chellappa:
On a spectral attentional mechanism. CVPR 1996: 120-127 - [c9]Xiaopeng Zhang, Philippe Burlina, Qinfen Zheng, Ramalingam Chellappa:
Automatic image-to-site model registration. ICASSP 1996: 2164-2167 - [c8]Fady Alajaji, Philippe Burlina, Rama Chellappa:
MAP decoding of gray-level images over binary channels with memory. ICIP (2) 1996: 29-32 - [c7]Carlos Morimoto, Philippe Burlina, Rama Chellappa, Yi-Sheng Yao:
Performance analysis of model-based video coding. ICIP (3) 1996: 279-282 - 1995
- [c6]Fady Alajaji, Philippe Burlina:
Image modeling and restoration through contagion urn schemes. ICIP 1995: 53-56 - [c5]Yi-Sheng Yao, Philippe Burlina, Rama Chellappa, Ting-Hu Wu:
Electronic image stabilization using multiple visual cues. ICIP 1995: 191-194 - 1994
- [c4]Philippe Burlina, Rama Chellappa:
Time-to-X: analysis of motion through temporal parameters. CVPR 1994: 461-468 - [c3]Philippe Burlina, Rama Chellappa:
Spatio-temporal Moments and Generalized Spectral Analysis of Divergent Images for Motion Estimation. ICIP (1) 1994: 328-332 - 1992
- [c2]Philippe Burlina, Daniel DeMenthon, Larry S. Davis:
Probabilistic navigation methods for uncertain and dynamic environments. ICPR (1) 1992: 312-315 - [c1]Philippe Burlina, Daniel DeMenthon, Larry S. Davis:
Navigation with uncertainty: reaching a goal in a high collision risk region. ICRA 1992: 2440-2445
Coauthor Index
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