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ORCIDAndreas E. Savakis
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- affiliation: Rochester Institute of Technology
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2020 – today
- 2024
[j35]Navya Nagananda
, Andreas E. Savakis:
Metrics for Domain Shift Characterization: Comparisons and New Directions. Int. J. Artif. Intell. Tools 33(5): 2450002:1-2450002:18 (2024)- [j34]Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis:
Continual Unsupervised Domain Adaptation in Data-Constrained Environments. IEEE Trans. Artif. Intell. 5(1): 167-178 (2024) - [j33]Chowdhury Sadman Jahan, Andreas E. Savakis:
Curriculum Guided Domain Adaptation in the Dark. IEEE Trans. Artif. Intell. 5(6): 2604-2614 (2024) - [c87]Chowdhury Sadman Jahan, Andreas E. Savakis:
Unknown Sample Discovery for Source Free Open Set Domain Adaptation. CVPR Workshops 2024: 1067-1076 - [i24]Navin Ranjan, Andreas E. Savakis:
LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation. CoRR abs/2401.11243 (2024) - [i23]Rajat Sahay, Andreas E. Savakis:
MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model. CoRR abs/2405.00293 (2024) - [i22]Navin Ranjan, Bruno Artacho, Andreas E. Savakis:
Waterfall Transformer for Multi-person Pose Estimation. CoRR abs/2411.18944 (2024) - 2023
- [j32]Bruno Artacho, Andreas E. Savakis:
Full-BAPose: Bottom Up Framework for Full Body Pose Estimation. Sensors 23(7): 3725 (2023) - [j31]Rajat Sahay, Georgi Thomas, Chowdhury Sadman Jahan, Mihir Manjrekar, Dan Popp, Andreas E. Savakis:
On the Importance of Attention and Augmentations for Hypothesis Transfer in Domain Adaptation and Generalization. Sensors 23(20): 8409 (2023) - [c86]Alexander Avery, Andreas E. Savakis:
DeepRM: Deep Recurrent Matching for 6D Pose Refinement. CVPR Workshops 2023: 6206-6214 - [c85]Bruno Artacho, Andreas E. Savakis:
BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations. WACV (Workshops) 2023: 528-537 - [i21]Chowdhury Sadman Jahan, Andreas E. Savakis:
Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather. CoRR abs/2308.00924 (2023) - [i20]Chowdhury Sadman Jahan, Andreas E. Savakis:
Curriculum Guided Domain Adaptation in the Dark. CoRR abs/2308.00956 (2023) - [i19]Chowdhury Sadman Jahan, Andreas E. Savakis:
Unknown Sample Discovery for Source Free Open Set Domain Adaptation. CoRR abs/2312.03767 (2023) - 2022
- [j30]Bruno Artacho, Andreas E. Savakis:
UniPose+: A Unified Framework for 2D and 3D Human Pose Estimation in Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9641-9653 (2022) - [j29]Divyansh Gupta, Bruno Artacho, Andreas E. Savakis:
HandyPose: Multi-level framework for hand pose estimation. Pattern Recognit. 128: 108674 (2022) - [j28]Liqi Yan, Siqi Ma, Qifan Wang, Yingjie Victor Chen, Xiangyu Zhang, Andreas E. Savakis, Dongfang Liu:
Video Captioning Using Global-Local Representation. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6642-6656 (2022) - [c84]Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis:
Unsupervised Continual Learning for Gradually Varying Domains. CVPR Workshops 2022: 3739-3749 - [c83]Chowdhury Sadman Jahan, Andreas E. Savakis, Erik Blasch:
SAR Image Classification with Knowledge Distillation and Class Balancing for Long-Tailed Distributions. IVMSP 2022: 1-5 - [c82]Navya Nagananda, Breton L. Minnehan, Andreas E. Savakis:
Robust $L_p$-Norm Linear Discriminant Analysis with Proxy Matrix Optimization. TAG-ML 2022: 277-286 - [i18]Alexander Avery, Andreas E. Savakis:
DeepRM: Deep Recurrent Matching for 6D Pose Refinement. CoRR abs/2205.14474 (2022) - 2021
- [j27]Abu Md Niamul Taufique, Andreas E. Savakis:
LABNet: Local graph aggregation network with class balanced loss for vehicle re-identification. Neurocomputing 463: 122-132 (2021) - [j26]Udit Sharma, Bruno Artacho, Andreas E. Savakis:
GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention. Sensors 21(22): 7504 (2021) - [j25]Navya Nagananda, Abu Md Niamul Taufique, Raaga Madappa, Chowdhury Sadman Jahan, Breton L. Minnehan, Todd V. Rovito, Andreas E. Savakis:
Benchmarking Domain Adaptation Methods on Aerial Datasets. Sensors 21(23): 8070 (2021) - [c81]Nilesh Pandey, Andreas E. Savakis:
Extreme Face Inpainting with Sketch-Guided Conditional GAN. Computational Imaging 2021 - [c80]Navya Nagananda, Andreas E. Savakis:
GILDA++: Grassmann Incremental Linear Discriminant Analysis. CVPR Workshops 2021: 4453-4461 - [c79]Christian Lusardi, Abu Md Niamul Taufique, Andreas E. Savakis:
Robust Multi-Object Tracking Using Re-Identification Features and Graph Convolutional Networks. ICCVW 2021: 3861-3870 - [i17]Bruno Artacho, Andreas E. Savakis:
OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation. CoRR abs/2103.10180 (2021) - [i16]Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis:
ConDA: Continual Unsupervised Domain Adaptation. CoRR abs/2103.11056 (2021) - [i15]Abu Md Niamul Taufique, Andreas E. Savakis, Jonathan Leckenby:
Automatic Quantification of Facial Asymmetry using Facial Landmarks. CoRR abs/2103.11059 (2021) - [i14]Abu Md Niamul Taufique, Navya Nagananda, Andreas E. Savakis:
Visualization of Deep Transfer Learning In SAR Imagery. CoRR abs/2103.11061 (2021) - [i13]Abu Md Niamul Taufique, Breton L. Minnehan, Andreas E. Savakis:
Benchmarking Deep Trackers on Aerial Videos. CoRR abs/2103.12924 (2021) - [i12]Abu Md Niamul Taufique, Andreas E. Savakis, Michael Braun, Daniel Kubacki, Ethan Dell, Lei Qian, Sean M. O'Rourke:
SiamReID: Confuser Aware Siamese Tracker with Re-identification Feature. CoRR abs/2104.03510 (2021) - [i11]Navya Nagananda, Breton L. Minnehan, Andreas E. Savakis:
Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization. CoRR abs/2104.08112 (2021) - [i10]Nilesh Pandey, Andreas E. Savakis:
Extreme Face Inpainting with Sketch-Guided Conditional GAN. CoRR abs/2105.06033 (2021) - [i9]Bruno Artacho, Andreas E. Savakis:
BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations. CoRR abs/2112.10716 (2021) - 2020
- [j24]Bhavan Vasu, Andreas E. Savakis:
Resilience and Plasticity of Deep Network Interpretations for Aerial Imagery. IEEE Access 8: 127491-127506 (2020) - [j23]Nilesh Pandey, Andreas E. Savakis:
Poly-GAN: Multi-conditioned GAN for fashion synthesis. Neurocomputing 414: 356-364 (2020) - [j22]Abu Md Niamul Taufique, Breton L. Minnehan, Andreas E. Savakis:
Benchmarking Deep Trackers on Aerial Videos. Sensors 20(2): 547 (2020) - [c78]Bruno Artacho, Nilesh Pandey, Andreas E. Savakis:
Efficient Multilevel Architecture for Depth Estimation from a Single Image. Computational Imaging 2020 - [c77]Bruno Artacho, Andreas E. Savakis:
UniPose: Unified Human Pose Estimation in Single Images and Videos. CVPR 2020: 7033-7042 - [c76]Bryan Blakeslee, Andreas E. Savakis:
LambdaNet: A Fully Convolutional Architecture for Directional Change Detection. IMAWM 2020: 1-7 - [c75]Abu Md Niamul Taufique, Navya Nagananda, Andreas E. Savakis:
Visualization of Deep Transfer Learning in SAR Imagery. IGARSS 2020: 3497-3500 - [i8]Bruno Artacho, Andreas E. Savakis:
UniPose: Unified Human Pose Estimation in Single Images and Videos. CoRR abs/2001.08095 (2020) - [i7]Abu Md Niamul Taufique, Andreas E. Savakis:
LABNet: Local Graph Aggregation Network with Class Balanced Loss for Vehicle Re-Identification. CoRR abs/2011.14417 (2020)
2010 – 2019
- 2019
- [j21]Breton L. Minnehan, Andreas E. Savakis:
Deep domain adaptation with manifold aligned label transfer. Mach. Vis. Appl. 30(3): 473-485 (2019) - [j20]Bruno Artacho, Andreas E. Savakis:
Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation. Sensors 19(24): 5361 (2019) - [j19]Breton L. Minnehan, Andreas E. Savakis:
Grassmann Manifold Optimization for Fast L1-Norm Principal Component Analysis. IEEE Signal Process. Lett. 26(2): 242-246 (2019) - [c74]Bhavan Vasu, Andreas E. Savakis:
Visualizing the Resilience of Deep Convolutional Network Interpretations. CVPR Workshops 2019: 107-110 - [c73]Breton L. Minnehan, Andreas E. Savakis:
Cascaded Projection: End-To-End Network Compression and Acceleration. CVPR 2019: 10715-10724 - [i6]Breton L. Minnehan, Andreas E. Savakis:
Cascaded Projection: End-to-End Network Compression and Acceleration. CoRR abs/1903.04988 (2019) - [i5]Nilesh Pandey, Andreas E. Savakis:
Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis. CoRR abs/1909.02165 (2019) - [i4]Bruno Artacho, Andreas E. Savakis:
Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation. CoRR abs/1912.03183 (2019) - 2018
- [j18]Panos P. Markopoulos, Mayur Dhanaraj, Andreas E. Savakis:
Adaptive L1-Norm Principal-Component Analysis With Online Outlier Rejection. IEEE J. Sel. Top. Signal Process. 12(6): 1131-1143 (2018) - [c72]Ying-Kai Huang, Andreas E. Savakis:
Semantic Pose Machines. IMAWM 2018: 1-6 - [c71]Faiz Ur Rahman, Bhavan Vasu, Jared Van Cor, John P. Kerekes, Andreas E. Savakis:
Siamese Network with Multi-Level Features for Patch-Based Change Detection in Satellite Imagery. GlobalSIP 2018: 958-962 - [c70]Faiz Ur Rahman, Bhavan Vasu, Andreas E. Savakis:
Resilience and Self-Healing of Deep Convolutional Object Detectors. ICIP 2018: 3443-3447 - [c69]Shagan Sah, Ameya Shringi, Dheeraj Peri, John Hamilton, Andreas E. Savakis, Ray Ptucha:
Multimodal Reconstruction Using Vector Representation. ICIP 2018: 3763-3767 - [c68]Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Domínguez, Andreas E. Savakis, Ray Ptucha:
Semantically Invariant Text-to-Image Generation. ICIP 2018: 3783-3787 - [c67]Bhavan Vasu, Faiz Ur Rahman, Andreas E. Savakis:
Aerial-CAM: Salient Structures and Textures in Network Class Activation Maps of Aerial Imagery. IVMSP 2018: 1-5 - [c66]Breton L. Minnehan, Andreas E. Savakis:
Learning Robust Feature Representations in Deep Networks for Image Classification. MIXDES 2018: 29-33 - [i3]Breton L. Minnehan, Andreas E. Savakis:
DEFRAG: Deep Euclidean Feature Representations through Adaptation on the Grassmann Manifold. CoRR abs/1806.07688 (2018) - [i2]Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Domínguez, Andreas E. Savakis, Ray Ptucha:
Semantically Invariant Text-to-Image Generation. CoRR abs/1809.10274 (2018) - 2017
- [j17]William T. Freeman, Andreas E. Savakis, Yoav Y. Schechner, Noah Snavely, Wolfgang Heidrich:
Guest Editorial Special Issue on Extreme Imaging. IEEE Trans. Computational Imaging 3(3): 382-383 (2017) - [c65]Breton L. Minnehan, Andreas E. Savakis:
Manifold Guided Label Transfer for Deep Domain Adaptation. CVPR Workshops 2017: 744-752 - [c64]Murtadha D. Hssayeni, Sagar Saxena, Raymond W. Ptucha, Andreas E. Savakis:
Distracted Driver Detection: Deep Learning vs Handcrafted Features. IMAWM 2017: 20-26 - [c63]Sherif Azary, Andreas E. Savakis:
Continuous recognition with incremental learning on Grassmann manifolds. MWSCAS 2017: 1477-1480 - [c62]Peter Muller, Andreas E. Savakis:
Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry. WACV 2017: 624-631 - 2016
- [j16]Nikolaos V. Boulgouris, David R. Bull, Marco Cagnazzo, Andrea Cavallaro, Gene Cheung, Amit K. Roy-Chowdhury, Pedro Comesaña Alfaro, Shan Du, Sarp Ertürk, Markus Flierl, Gian Luca Foresti, Gang Hua, Zhu Li, Weisi Lin, Siwei Ma, Pramod Kumar Meher, Debargha Mukherjee, Aleksandra Pizurica, Andrea Prati, Paolo Remagnino, Arun Ross, Shin'ichi Satoh, Andreas E. Savakis, Heiko Schwarz, Ling Shao, Shervin Shirmohammadi, Giuseppe Valenzise, Meng Wang, Zhou Wang, Yonggang Wen, Dong Xu, Junsong Yuan, Yuan Yuan:
Introduction of New Associate Editors. IEEE Trans. Circuits Syst. Video Technol. 26(2): 253-263 (2016) - [c61]Sriram Kumar, Andreas E. Savakis:
Robust Domain Adaptation on the L1-Grassmannian Manifold. CVPR Workshops 2016: 1058-1065 - [c60]Sriram Kumar, Behnaz Ghoraani, Andreas E. Savakis:
Joint and Discriminative Dictionary Learning for Facial Expression Recognition. IMAWM 2016: 1-6 - [c59]Jefferson Medel, Andreas E. Savakis, Behnaz Ghoraani:
A novel time-frequency feature extraction algorithm based on dictionary learning. ICASSP 2016: 4895-4899 - [c58]Sriram Kumar, Andreas E. Savakis:
Learning a perceptual manifold for image set classification. ICIP 2016: 4433-4437 - [i1]Jefferson Ryan Medel, Andreas E. Savakis:
Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks. CoRR abs/1612.00390 (2016) - 2015
- [j15]Sherif Azary, Andreas E. Savakis:
Grassmannian Spectral Regression for Learning and Classification. Int. J. Artif. Intell. Tools 24(4): 1540015:1-1540015:20 (2015) - [j14]Sherif Azary, Andreas E. Savakis:
Grassmannian sparse representations. J. Electronic Imaging 24(3): 033008 (2015) - [j13]Riti Sharma, Andreas E. Savakis:
Lean histogram of oriented gradients features for effective eye detection. J. Electronic Imaging 24(6): 063007 (2015) - [c57]Andreas E. Savakis, Mohammad Faiz Quraishi, Breton L. Minnehan:
Object tracking on mobile devices using binary descriptors. IMAWM 2015: 94080B - [c56]Michael Peres, Andreas E. Savakis:
Crowdpainting with Light: Participatory Imaging at the Big Shot. ICCV Workshops 2015: 683-687 - [c55]Matthew Johnson, Andreas E. Savakis:
L1-Grassmann manifolds for robust face recognition. ICIP 2015: 482-486 - [c54]Ethan Peters, Andreas E. Savakis:
SVM with OpenCL: High performance implementation of support vector machines on heterogeneous systems. ICIP 2015: 4322-4326 - 2014
- [j12]Raymond W. Ptucha, Andreas E. Savakis:
LGE-KSVD: Robust Sparse Representation Classification. IEEE Trans. Image Process. 23(4): 1737-1750 (2014) - [c53]Andreas E. Savakis, Riti Sharma, Mrityunjay Kumar:
Efficient eye detection using HOG-PCA descriptor. IMAWM 2014: 90270J - [c52]Andreas E. Savakis, Raviteja Rudra, Raymond W. Ptucha:
Gesture Control Using Active Difference Signatures and Sparse Learning. ICPR 2014: 3969-3974 - [c51]Konstantia Moirogiorgou, Michalis E. Zervakis, Andreas E. Savakis, Ioannis Sibetheros:
Statistical Estimation of Fluid Flow: An Image Restoration Approach. ISVC (1) 2014: 162-171 - [c50]Breton L. Minnehan, Henry Spang, Andreas E. Savakis:
Robust and Efficient Tracker Using Dictionary of Binary Descriptors and Locality Constraints. ISVC (1) 2014: 589-598 - 2013
- [j11]Raymond W. Ptucha, Andreas E. Savakis:
Manifold based sparse representation for facial understanding in natural images. Image Vis. Comput. 31(5): 365-378 (2013) - [c49]Sherif Azary, Andreas E. Savakis:
Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action Recognition. CVPR Workshops 2013: 492-499 - [c48]Raymond W. Ptucha, Andreas E. Savakis:
LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification. CVPR Workshops 2013: 854-861 - [c47]Thomas Knack, Andreas E. Savakis:
Real-time content-aware video retargeting for tunnel vision assistance. Multimedia Content and Mobile Devices 2013: 86670N - [c46]Raymond W. Ptucha, Andreas E. Savakis:
Joint optimization of manifold learning and sparse representations. FG 2013: 1-7 - [c45]Colin P. Bellmore, Raymond W. Ptucha, Andreas E. Savakis:
Fusion of depth and color for an improved active shape model. ICIP 2013: 330-334 - [c44]Raymond W. Ptucha, Sherif Azary, Andreas E. Savakis:
Keypoint matching and image registration using sparse representations. ICIP 2013: 780-784 - [c43]Sherif Azary, Andreas E. Savakis:
Grassmannian Spectral Regression for Action Recognition. ISVC (2) 2013: 189-198 - 2012
- [j10]Tommy P. Keane, Eli Saber, Harvey E. Rhody, Andreas E. Savakis, Jeffrey Raj:
Practical image registration concerns overcome by the weighted and filtered mutual information metric. J. Electronic Imaging 21(2): 023029 (2012) - [c42]Sherif Azary, Andreas E. Savakis:
A spatiotemporal descriptor based on radial distances and 3D joint tracking for action classification. ICIP 2012: 769-772 - [c41]Raymond W. Ptucha, Andreas E. Savakis:
Fusion of static and temporal predictors for unconstrained facial expression recognition. ICIP 2012: 2597-2600 - [c40]Sherif Azary, Andreas E. Savakis:
3D Action Classification Using Sparse Spatio-temporal Feature Representations. ISVC (2) 2012: 166-175 - [c39]Raymond W. Ptucha, Andreas E. Savakis:
Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification. ISVC (2) 2012: 388-397 - [c38]Andreas E. Savakis, Mark Stump, Grigorios Tsagkatakis, Roy Melton, Gary Behm, Gwen Sterns:
Low vision assistance using face detection and tracking on android smartphones. MWSCAS 2012: 1176-1179 - 2011
- [j9]Grigorios Tsagkatakis, Andreas E. Savakis:
Online Distance Metric Learning for Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 21(12): 1810-1821 (2011) - [c37]Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis:
Manifold based Sparse Representation for robust expression recognition without neutral subtraction. ICCV Workshops 2011: 2136-2143 - [c36]Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis:
Manifold learning for simultaneous pose and facial expression recognition. ICIP 2011: 3021-3024 - [c35]Tommy P. Keane, Eli Saber, Harvey E. Rhody, Andreas E. Savakis, Jeffrey Raj:
Unsupervised automated panorama creation for realistic surveillance scenes through weighted mutual information registration. Image Processing: Algorithms and Systems 2011: 78700T - 2010
- [c34]Grigorios Tsagkatakis, Andreas E. Savakis:
Sparse Representations and Distance Learning for Attribute Based Category Recognition. ECCV Workshops (1) 2010: 29-42 - [c33]Raymond W. Ptucha, Andreas E. Savakis:
Pose estimation using facial feature points and manifold learning. ICIP 2010: 3261-3264 - [c32]Grigorios Tsagkatakis, Andreas E. Savakis:
Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition. ICPR 2010: 653-656 - [c31]Raymond W. Ptucha, Andreas E. Savakis:
Facial Expression Recognition Using Facial Features and Manifold Learning. ISVC (3) 2010: 301-309 - [c30]Grigorios Tsagkatakis, Andreas E. Savakis:
Face Recognition Using Sparse Representations and Manifold Learning. ISVC (1) 2010: 509-518 - [c29]Sherif Azary, Andreas E. Savakis:
View Invariant Activity Recognition with Manifold Learning. ISVC (2) 2010: 606-615
2000 – 2009
- 2009
- [c28]Grigorios Tsagkatakis, Andreas E. Savakis:
A random projections model for object tracking under variable pose and multi-camera views. ICDSC 2009: 1-7 - [c27]Grigorios Tsagkatakis, Andreas E. Savakis:
Random Projections for face detection under resource constraints. ICIP 2009: 1233-1236 - [c26]Raymond W. Ptucha, Andreas E. Savakis:
Facial pose estimation using a symmetrical feature model. ICME 2009: 1664-1667 - [c25]Bennet Tillapaugh, Andreas E. Savakis:
Indirect Camera Calibration for Surgery Tracking. ISBI 2009: 1083-1086 - [c24]Natasha Kholgade, Andreas E. Savakis:
Human Activity Recognition Using the 4D Spatiotemporal Shape Context Descriptor. ISVC (2) 2009: 357-366 - 2008
- [c23]Grigorios Tsagkatakis, Michalis E. Zervakis, Andreas E. Savakis:
Multiple description based image transmission with Low Density Parity Check codes. ICIP 2008: 2040-2043 - [c22]Grigorios Tsagkatakis, Andreas E. Savakis:
Face Detection in Resource Constrained Wireless Systems. WMMP 2008: 203-220 - 2007
- [c21]Andreas E. Savakis, James Schimmel:
Facial pose estimation for image retrieval. VISAPP (2) 2007: 173-177 - [c20]Andreas E. Savakis, David Higgs:
Parts-based face detection at multiple views. VISAPP (2) 2007: 298-301 - 2005
- [j8]Andreas E. Savakis, Josephine A. Smith:
Multilevel color form dropout: algorithms and media processor implementation. J. Electronic Imaging 14(1): 013020 (2005) - [j7]Jiebo Luo, Andreas E. Savakis, Amit Singhal:
A Bayesian network-based framework for semantic image understanding. Pattern Recognit. 38(6): 919-934 (2005) - [c19]Andreas E. Savakis, Shawn Jackson:
Adaptive multilevel median filtering of image sequences. ICIP (3) 2005: 545-548 - 2004
- [j6]Navid Serrano, Andreas E. Savakis, Jiebo Luo:
Improved scene classification using efficient low-level features and semantic cues. Pattern Recognit. 37(9): 1773-1784 (2004) - [c18]Richard Carbone, Andreas E. Savakis:
A flexible hardware architecture for 2-D discrete wavelet transform. FPGA 2004: 246 - [c17]Bret Woz, Andreas E. Savakis:
A VHDL MPEG-7 shape descriptor extractor. FPGA 2004: 246 - [c16]Phil Sherry, Andreas E. Savakis:
Improved techniques for watermarking halftone images. ICASSP (5) 2004: 1005-1008 - [c15]Michael J. Kane, Andreas E. Savakis:
Bayesian Network Structure Learning and Inference in Indoor vs. Outdoor Image Classification. ICPR (2) 2004: 479-482 - [c14]Rajesh Narasimha, Andreas E. Savakis, Raghuveer M. Rao, Ricardo L. de Queiroz:
A neural network approach to key frame extraction. Storage and Retrieval Methods and Applications for Multimedia 2004: 439-447 - 2003
- [j5]Alexander C. Loui, Andreas E. Savakis:
Automated event clustering and quality screening of consumer pictures for digital albuming. IEEE Trans. Multim. 5(3): 390-402 (2003) - [c13]Jiebo Luo, Amit Singhal, Andreas E. Savakis:
Efficient Mobile Imaging Using Emphasis Image Selection. PICS 2003: 355 - [c12]Michael J. Kane, Ferat Sahin, Andreas E. Savakis:
A two phase approach to Bayesian network model selection and comparison between the MDL and DGM scoring heuristics. SMC 2003: 4601-4606 - 2002
- [j4]Andreas E. Savakis:
Evaluation of algorithms for lossless compression of continuous-tone images. J. Electronic Imaging 11(1): 75-86 (2002) - [c11]Andreas E. Savakis, Michael D. Piorun:
Benchmarking and hardware implementation of JPEG-LS. ICIP (2) 2002: 949-952 - [c10]Navid Serrano, Andreas E. Savakis, Jiebo Luo:
A Computationally Efficient Approach to Indoor/Outdoor Scene Classification. ICPR (4) 2002: 146- - 2001
- [j3]Jiebo Luo, Andreas E. Savakis:
Self-supervised texture segmentation using complementary types of features. Pattern Recognit. 34(11): 2071-2082 (2001) - [c9]Jiebo Luo, Andreas E. Savakis:
Indoor vs outdoor classification of consumer photographs using low-level and semantic features. ICIP (2) 2001: 745-748 - 2000
- [c8]Andreas E. Savakis, Stephen P. Etz, Alexander C. Loui:
Evaluation of image appeal in consumer photography. Human Vision and Electronic Imaging 2000: 111-121 - [c7]Andreas E. Savakis:
Evaluation of Lossless Compression Methods for Gray Scale Document Images. ICIP 2000: 136-139 - [c6]Jiebo Luo, Andreas E. Savakis, Stephen P. Etz, Amit Singhal:
On the Application of Bayes Networks to Semantic Understanding of Consumer Photographs. ICIP 2000: 512-515 - [c5]Jiebo Luo, Andreas E. Savakis:
Two-Stage Texture Segmentation Using Complementary Features. ICIP 2000: 564-567 - [c4]Alexander C. Loui, Andreas E. Savakis:
Automatic Image Event Segmentation and Quality Screening for Albuming Applications. IEEE International Conference on Multimedia and Expo (II) 2000: 1125-1128
1990 – 1999
- 1998
- [c3]Andreas E. Savakis:
Adaptive Document Image Thresholding using Foreground and Background Clustering. ICIP (3) 1998: 785-789 - 1994
- [c2]Michael E. Zervakis, Taek Mu Kwon, Andreas E. Savakis:
Operator Decomposition using the Wavelet Transform: Fundamental Properties and Image Restoration Applications. ICIP (1) 1994: 56-60 - 1993
- [j2]Andreas E. Savakis, H. Joel Trussell:
Blur identification by residual spectral matching. IEEE Trans. Image Process. 2(2): 141-151 (1993) - [j1]Andreas E. Savakis, H. Joel Trussell:
On the accuracy of PSF representation in image restoration. IEEE Trans. Image Process. 2(2): 252-259 (1993) - 1991
- [c1]H. Joel Trussell, Andreas E. Savakis:
Blur identification by statistical analysis. ICASSP 1991: 2493-2496
Coauthor Index
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last updated on 2025-01-09 13:14 CET by the dblp team
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