Andreas E. Savakis

153 papers A* 2A 5B 21C 1Misc 2Journal 62Unranked 60

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	LRP-QViT: Mixed-Precision Vision Transformer Quantization Using Layer Importance Score. DSP Navin Ranjan, Andreas E. Savakis
2025	—	`conf`	Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model. CVPR Workshops Navin Ranjan, Andreas E. Savakis
2025	J	`jnl`	Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model. CoRR Navin Ranjan, Andreas E. Savakis
2025	J	`jnl`	Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity. CoRR Navin Ranjan, Andreas E. Savakis
2025	—	`conf`	MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model. CVPR Workshops Rajat Sahay, Andreas E. Savakis
2025	J	`jnl`	Quantum Annealing for Robust Principal Component Analysis. CoRR Ian Tomeo, Panos P. Markopoulos, Andreas E. Savakis
2025	—	`conf`	WTPose: Waterfall Transformer for Multi-person Pose Estimation. WACV (Workshops) Navin Ranjan, Bruno Artacho, Andreas E. Savakis
2024	J	`jnl`	Continual Unsupervised Domain Adaptation in Data-Constrained Environments. IEEE Trans. Artif. Intell. Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis
2024	J	`jnl`	Curriculum Guided Domain Adaptation in the Dark. IEEE Trans. Artif. Intell. Chowdhury Sadman Jahan, Andreas E. Savakis
2024	J	`jnl`	LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation. CoRR Navin Ranjan, Andreas E. Savakis
2024	J	`jnl`	Metrics for Domain Shift Characterization: Comparisons and New Directions. Int. J. Artif. Intell. Tools Navya Nagananda, Andreas E. Savakis
2024	J	`jnl`	MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model. CoRR Rajat Sahay, Andreas E. Savakis
2024	—	`conf`	Unknown Sample Discovery for Source Free Open Set Domain Adaptation. CVPR Workshops Chowdhury Sadman Jahan, Andreas E. Savakis
2024	J	`jnl`	Waterfall Transformer for Multi-person Pose Estimation. CoRR Navin Ranjan, Bruno Artacho, Andreas E. Savakis
2023	—	`conf`	BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations. WACV (Workshops) Bruno Artacho, Andreas E. Savakis
2023	J	`jnl`	Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather. CoRR Chowdhury Sadman Jahan, Andreas E. Savakis
2023	J	`jnl`	Curriculum Guided Domain Adaptation in the Dark. CoRR Chowdhury Sadman Jahan, Andreas E. Savakis
2023	—	`conf`	DeepRM: Deep Recurrent Matching for 6D Pose Refinement. CVPR Workshops Alexander Avery, Andreas E. Savakis
2023	J	`jnl`	Full-BAPose: Bottom Up Framework for Full Body Pose Estimation. Sensors Bruno Artacho, Andreas E. Savakis
2023	J	`jnl`	On the Importance of Attention and Augmentations for Hypothesis Transfer in Domain Adaptation and Generalization. Sensors Rajat Sahay, Georgi Thomas, Chowdhury Sadman Jahan, Mihir Manjrekar, Dan Popp, Andreas E. Savakis
2023	J	`jnl`	Unknown Sample Discovery for Source Free Open Set Domain Adaptation. CoRR Chowdhury Sadman Jahan, Andreas E. Savakis
2022	J	`jnl`	DeepRM: Deep Recurrent Matching for 6D Pose Refinement. CoRR Alexander Avery, Andreas E. Savakis
2022	J	`jnl`	HandyPose: Multi-level framework for hand pose estimation. Pattern Recognit. Divyansh Gupta, Bruno Artacho, Andreas E. Savakis
2022	—	`conf`	Robust $L_p$-Norm Linear Discriminant Analysis with Proxy Matrix Optimization. TAG-ML Navya Nagananda, Breton L. Minnehan, Andreas E. Savakis
2022	—	`conf`	SAR Image Classification with Knowledge Distillation and Class Balancing for Long-Tailed Distributions. IVMSP Chowdhury Sadman Jahan, Andreas E. Savakis, Erik Blasch
2022	J	`jnl`	UniPose+: A Unified Framework for 2D and 3D Human Pose Estimation in Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. Bruno Artacho, Andreas E. Savakis
2022	—	`conf`	Unsupervised Continual Learning for Gradually Varying Domains. CVPR Workshops Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis
2022	J	`jnl`	Video Captioning Using Global-Local Representation. IEEE Trans. Circuits Syst. Video Technol. Liqi Yan, Siqi Ma, Qifan Wang, Yingjie Victor Chen, Xiangyu Zhang, Andreas E. Savakis, Dongfang Liu
2021	J	`jnl`	Automatic Quantification of Facial Asymmetry using Facial Landmarks. CoRR Abu Md Niamul Taufique, Andreas E. Savakis, Jonathan Leckenby
2021	J	`jnl`	BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations. CoRR Bruno Artacho, Andreas E. Savakis
2021	J	`jnl`	Benchmarking Deep Trackers on Aerial Videos. CoRR Abu Md Niamul Taufique, Breton L. Minnehan, Andreas E. Savakis
2021	J	`jnl`	Benchmarking Domain Adaptation Methods on Aerial Datasets. Sensors Navya Nagananda, Abu Md Niamul Taufique, Raaga Madappa, Chowdhury Sadman Jahan, Breton L. Minnehan, Todd V. Rovito, Andreas E. Savakis
2021	J	`jnl`	ConDA: Continual Unsupervised Domain Adaptation. CoRR Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis
2021	—	`conf`	Extreme Face Inpainting with Sketch-Guided Conditional GAN. Computational Imaging Nilesh Pandey, Andreas E. Savakis
2021	J	`jnl`	Extreme Face Inpainting with Sketch-Guided Conditional GAN. CoRR Nilesh Pandey, Andreas E. Savakis
2021	—	`conf`	GILDA++: Grassmann Incremental Linear Discriminant Analysis. CVPR Workshops Navya Nagananda, Andreas E. Savakis
2021	J	`jnl`	GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention. Sensors Udit Sharma, Bruno Artacho, Andreas E. Savakis
2021	J	`jnl`	Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization. CoRR Navya Nagananda, Breton L. Minnehan, Andreas E. Savakis
2021	J	`jnl`	LABNet: Local graph aggregation network with class balanced loss for vehicle re-identification. Neurocomputing Abu Md Niamul Taufique, Andreas E. Savakis
2021	J	`jnl`	OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation. CoRR Bruno Artacho, Andreas E. Savakis
2021	—	`conf`	Robust Multi-Object Tracking Using Re-Identification Features and Graph Convolutional Networks. ICCVW Christian Lusardi, Abu Md Niamul Taufique, Andreas E. Savakis
2021	J	`jnl`	SiamReID: Confuser Aware Siamese Tracker with Re-identification Feature. CoRR Abu Md Niamul Taufique, Andreas E. Savakis, Michael Braun, Daniel Kubacki, Ethan Dell, Lei Qian, Sean M. O'Rourke
2021	J	`jnl`	Visualization of Deep Transfer Learning In SAR Imagery. CoRR Abu Md Niamul Taufique, Navya Nagananda, Andreas E. Savakis
2020	J	`jnl`	Benchmarking Deep Trackers on Aerial Videos. Sensors Abu Md Niamul Taufique, Breton L. Minnehan, Andreas E. Savakis
2020	—	`conf`	Efficient Multilevel Architecture for Depth Estimation from a Single Image. Computational Imaging Bruno Artacho, Nilesh Pandey, Andreas E. Savakis
2020	J	`jnl`	LABNet: Local Graph Aggregation Network with Class Balanced Loss for Vehicle Re-Identification. CoRR Abu Md Niamul Taufique, Andreas E. Savakis
2020	—	`conf`	LambdaNet: A Fully Convolutional Architecture for Directional Change Detection. IMAWM Bryan Blakeslee, Andreas E. Savakis
2020	J	`jnl`	Poly-GAN: Multi-conditioned GAN for fashion synthesis. Neurocomputing Nilesh Pandey, Andreas E. Savakis
2020	J	`jnl`	Resilience and Plasticity of Deep Network Interpretations for Aerial Imagery. IEEE Access Bhavan Vasu, Andreas E. Savakis
2020	A*	`conf`	UniPose: Unified Human Pose Estimation in Single Images and Videos. CVPR Bruno Artacho, Andreas E. Savakis
2020	J	`jnl`	UniPose: Unified Human Pose Estimation in Single Images and Videos. CoRR Bruno Artacho, Andreas E. Savakis
2020	C	`conf`	Visualization of Deep Transfer Learning in SAR Imagery. IGARSS Abu Md Niamul Taufique, Navya Nagananda, Andreas E. Savakis
2019	A*	`conf`	Cascaded Projection: End-To-End Network Compression and Acceleration. CVPR Breton L. Minnehan, Andreas E. Savakis
2019	J	`jnl`	Cascaded Projection: End-to-End Network Compression and Acceleration. CoRR Breton L. Minnehan, Andreas E. Savakis
2019	J	`jnl`	Deep domain adaptation with manifold aligned label transfer. Mach. Vis. Appl. Breton L. Minnehan, Andreas E. Savakis
2019	J	`jnl`	Grassmann Manifold Optimization for Fast L IEEE Signal Process. Lett. Breton L. Minnehan, Andreas E. Savakis
2019	J	`jnl`	Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis. CoRR Nilesh Pandey, Andreas E. Savakis
2019	—	`conf`	Visualizing the Resilience of Deep Convolutional Network Interpretations. CVPR Workshops Bhavan Vasu, Andreas E. Savakis
2019	J	`jnl`	Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation. CoRR Bruno Artacho, Andreas E. Savakis
2019	J	`jnl`	Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation. Sensors Bruno Artacho, Andreas E. Savakis
2018	J	`jnl`	Adaptive L1-Norm Principal-Component Analysis With Online Outlier Rejection. IEEE J. Sel. Top. Signal Process. Panos P. Markopoulos, Mayur Dhanaraj, Andreas E. Savakis
2018	—	`conf`	Aerial-CAM: Salient Structures and Textures in Network Class Activation Maps of Aerial Imagery. IVMSP Bhavan Vasu, Faiz Ur Rahman, Andreas E. Savakis
2018	J	`jnl`	DEFRAG: Deep Euclidean Feature Representations through Adaptation on the Grassmann Manifold. CoRR Breton L. Minnehan, Andreas E. Savakis
2018	—	`conf`	Learning Robust Feature Representations in Deep Networks for Image Classification. MIXDES Breton L. Minnehan, Andreas E. Savakis
2018	B	`conf`	Multimodal Reconstruction Using Vector Representation. ICIP Shagan Sah, Ameya Shringi, Dheeraj Peri, John Hamilton, Andreas E. Savakis, Ray Ptucha
2018	B	`conf`	Resilience and Self-Healing of Deep Convolutional Object Detectors. ICIP Faiz Ur Rahman, Bhavan Vasu, Andreas E. Savakis
2018	—	`conf`	Semantic Pose Machines. IMAWM Ying-Kai Huang, Andreas E. Savakis
2018	B	`conf`	Semantically Invariant Text-to-Image Generation. ICIP Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Domínguez, Andreas E. Savakis, Ray Ptucha
2018	J	`jnl`	Semantically Invariant Text-to-Image Generation. CoRR Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Domínguez, Andreas E. Savakis, Ray Ptucha
2018	—	`conf`	Siamese Network with Multi-Level Features for Patch-Based Change Detection in Satellite Imagery. GlobalSIP Faiz Ur Rahman, Bhavan Vasu, Jared Van Cor, John P. Kerekes, Andreas E. Savakis
2017	—	`conf`	Continuous recognition with incremental learning on Grassmann manifolds. MWSCAS Sherif Azary, Andreas E. Savakis
2017	—	`conf`	Distracted Driver Detection: Deep Learning vs Handcrafted Features. IMAWM Murtadha D. Hssayeni, Sagar Saxena, Raymond W. Ptucha, Andreas E. Savakis
2017	A	`conf`	Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry. WACV Peter Muller, Andreas E. Savakis
2017	J	`jnl`	Guest Editorial Special Issue on Extreme Imaging. IEEE Trans. Computational Imaging William T. Freeman, Andreas E. Savakis, Yoav Y. Schechner, Noah Snavely, Wolfgang Heidrich
2017	—	`conf`	Manifold Guided Label Transfer for Deep Domain Adaptation. CVPR Workshops Breton L. Minnehan, Andreas E. Savakis
2016	Misc	`conf`	A novel time-frequency feature extraction algorithm based on dictionary learning. ICASSP Jefferson Medel, Andreas E. Savakis, Behnaz Ghoraani
2016	J	`jnl`	Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks. CoRR Jefferson Ryan Medel, Andreas E. Savakis
2016	J	`jnl`	Introduction of New Associate Editors. IEEE Trans. Circuits Syst. Video Technol. 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
2016	—	`conf`	Joint and Discriminative Dictionary Learning for Facial Expression Recognition. IMAWM Sriram Kumar, Behnaz Ghoraani, Andreas E. Savakis
2016	B	`conf`	Learning a perceptual manifold for image set classification. ICIP Sriram Kumar, Andreas E. Savakis
2016	—	`conf`	Robust Domain Adaptation on the L1-Grassmannian Manifold. CVPR Workshops Sriram Kumar, Andreas E. Savakis
2015	—	`conf`	Crowdpainting with Light: Participatory Imaging at the Big Shot. ICCV Workshops Michael Peres, Andreas E. Savakis
2015	J	`jnl`	Grassmannian Spectral Regression for Learning and Classification. Int. J. Artif. Intell. Tools Sherif Azary, Andreas E. Savakis
2015	J	`jnl`	Grassmannian sparse representations. J. Electronic Imaging Sherif Azary, Andreas E. Savakis
2015	B	`conf`	L1-Grassmann manifolds for robust face recognition. ICIP Matthew Johnson, Andreas E. Savakis
2015	J	`jnl`	Lean histogram of oriented gradients features for effective eye detection. J. Electronic Imaging Riti Sharma, Andreas E. Savakis
2015	—	`conf`	Object tracking on mobile devices using binary descriptors. IMAWM Andreas E. Savakis, Mohammad Faiz Quraishi, Breton L. Minnehan
2015	B	`conf`	SVM with OpenCL: High performance implementation of support vector machines on heterogeneous systems. ICIP Ethan Peters, Andreas E. Savakis
2014	—	`conf`	Efficient eye detection using HOG-PCA descriptor. IMAWM Andreas E. Savakis, Riti Sharma, Mrityunjay Kumar
2014	B	`conf`	Gesture Control Using Active Difference Signatures and Sparse Learning. ICPR Andreas E. Savakis, Raviteja Rudra, Raymond W. Ptucha
2014	J	`jnl`	LGE-KSVD: Robust Sparse Representation Classification. IEEE Trans. Image Process. Raymond W. Ptucha, Andreas E. Savakis
2014	—	`conf`	Robust and Efficient Tracker Using Dictionary of Binary Descriptors and Locality Constraints. ISVC (1) Breton L. Minnehan, Henry Spang, Andreas E. Savakis
2014	—	`conf`	Statistical Estimation of Fluid Flow: An Image Restoration Approach. ISVC (1) Konstantia Moirogiorgou, Michalis E. Zervakis, Andreas E. Savakis, Ioannis Sibetheros
2013	B	`conf`	Fusion of depth and color for an improved active shape model. ICIP Colin P. Bellmore, Raymond W. Ptucha, Andreas E. Savakis
2013	—	`conf`	Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action Recognition. CVPR Workshops Sherif Azary, Andreas E. Savakis
2013	—	`conf`	Grassmannian Spectral Regression for Action Recognition. ISVC (2) Sherif Azary, Andreas E. Savakis
2013	B	`conf`	Joint optimization of manifold learning and sparse representations. FG Raymond W. Ptucha, Andreas E. Savakis
2013	B	`conf`	Keypoint matching and image registration using sparse representations. ICIP Raymond W. Ptucha, Sherif Azary, Andreas E. Savakis
2013	—	`conf`	LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification. CVPR Workshops Raymond W. Ptucha, Andreas E. Savakis
2013	J	`jnl`	Manifold based sparse representation for facial understanding in natural images. Image Vis. Comput. Raymond W. Ptucha, Andreas E. Savakis
2013	—	`conf`	Real-time content-aware video retargeting for tunnel vision assistance. Multimedia Content and Mobile Devices Thomas Knack, Andreas E. Savakis
2012	—	`conf`	3D Action Classification Using Sparse Spatio-temporal Feature Representations. ISVC (2) Sherif Azary, Andreas E. Savakis
2012	B	`conf`	A spatiotemporal descriptor based on radial distances and 3D joint tracking for action classification. ICIP Sherif Azary, Andreas E. Savakis
2012	B	`conf`	Fusion of static and temporal predictors for unconstrained facial expression recognition. ICIP Raymond W. Ptucha, Andreas E. Savakis
2012	—	`conf`	Low vision assistance using face detection and tracking on android smartphones. MWSCAS Andreas E. Savakis, Mark Stump, Grigorios Tsagkatakis, Roy Melton, Gary Behm, Gwen Sterns
2012	J	`jnl`	Practical image registration concerns overcome by the weighted and filtered mutual information metric. J. Electronic Imaging Tommy P. Keane, Eli Saber, Harvey E. Rhody, Andreas E. Savakis, Jeffrey Raj
2012	—	`conf`	Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification. ISVC (2) Raymond W. Ptucha, Andreas E. Savakis
2011	—	`conf`	Manifold based Sparse Representation for robust expression recognition without neutral subtraction. ICCV Workshops Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis
2011	B	`conf`	Manifold learning for simultaneous pose and facial expression recognition. ICIP Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis
2011	J	`jnl`	Online Distance Metric Learning for Object Tracking. IEEE Trans. Circuits Syst. Video Technol. Grigorios Tsagkatakis, Andreas E. Savakis
2011	—	`conf`	Unsupervised automated panorama creation for realistic surveillance scenes through weighted mutual information registration. Image Processing: Algorithms and Systems Tommy P. Keane, Eli Saber, Harvey E. Rhody, Andreas E. Savakis, Jeffrey Raj
2010	—	`conf`	Face Recognition Using Sparse Representations and Manifold Learning. ISVC (1) Grigorios Tsagkatakis, Andreas E. Savakis
2010	—	`conf`	Facial Expression Recognition Using Facial Features and Manifold Learning. ISVC (3) Raymond W. Ptucha, Andreas E. Savakis
2010	B	`conf`	Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition. ICPR Grigorios Tsagkatakis, Andreas E. Savakis
2010	B	`conf`	Pose estimation using facial feature points and manifold learning. ICIP Raymond W. Ptucha, Andreas E. Savakis
2010	—	`conf`	Sparse Representations and Distance Learning for Attribute Based Category Recognition. ECCV Workshops (1) Grigorios Tsagkatakis, Andreas E. Savakis
2010	—	`conf`	View Invariant Activity Recognition with Manifold Learning. ISVC (2) Sherif Azary, Andreas E. Savakis
2009	—	`conf`	A random projections model for object tracking under variable pose and multi-camera views. ICDSC Grigorios Tsagkatakis, Andreas E. Savakis
2009	A	`conf`	Facial pose estimation using a symmetrical feature model. ICME Raymond W. Ptucha, Andreas E. Savakis
2009	—	`conf`	Human Activity Recognition Using the 4D Spatiotemporal Shape Context Descriptor. ISVC (2) Natasha Kholgade, Andreas E. Savakis
2009	—	`conf`	Indirect Camera Calibration for Surgery Tracking. ISBI Bennet Tillapaugh, Andreas E. Savakis
2009	B	`conf`	Random Projections for face detection under resource constraints. ICIP Grigorios Tsagkatakis, Andreas E. Savakis
2008	—	`conf`	Face Detection in Resource Constrained Wireless Systems. WMMP Grigorios Tsagkatakis, Andreas E. Savakis
2008	B	`conf`	Multiple description based image transmission with Low Density Parity Check codes. ICIP Grigorios Tsagkatakis, Michalis E. Zervakis, Andreas E. Savakis
2007	—	`conf`	Facial pose estimation for image retrieval. VISAPP (2) Andreas E. Savakis, James Schimmel
2007	—	`conf`	Parts-based face detection at multiple views. VISAPP (2) Andreas E. Savakis, David Higgs
2005	J	`jnl`	A Bayesian network-based framework for semantic image understanding. Pattern Recognit. Jiebo Luo, Andreas E. Savakis, Amit Singhal
2005	—	`conf`	Adaptive multilevel median filtering of image sequences. ICIP (3) Andreas E. Savakis, Shawn Jackson
2005	J	`jnl`	Multilevel color form dropout: algorithms and media processor implementation. J. Electronic Imaging Andreas E. Savakis, Josephine A. Smith
2004	A	`conf`	A VHDL MPEG-7 shape descriptor extractor. FPGA Bret Woz, Andreas E. Savakis
2004	A	`conf`	A flexible hardware architecture for 2-D discrete wavelet transform. FPGA Richard Carbone, Andreas E. Savakis
2004	—	`conf`	A neural network approach to key frame extraction. Storage and Retrieval Methods and Applications for Multimedia Rajesh Narasimha, Andreas E. Savakis, Raghuveer M. Rao, Ricardo L. de Queiroz
2004	—	`conf`	Bayesian Network Structure Learning and Inference in Indoor vs. Outdoor Image Classification. ICPR (2) Michael J. Kane, Andreas E. Savakis
2004	J	`jnl`	Improved scene classification using efficient low-level features and semantic cues. Pattern Recognit. Navid Serrano, Andreas E. Savakis, Jiebo Luo
2004	—	`conf`	Improved techniques for watermarking halftone images. ICASSP (5) Phil Sherry, Andreas E. Savakis
2003	B	`conf`	A two phase approach to Bayesian network model selection and comparison between the MDL and DGM scoring heuristics. SMC Michael J. Kane, Ferat Sahin, Andreas E. Savakis
2003	J	`jnl`	Automated event clustering and quality screening of consumer pictures for digital albuming. IEEE Trans. Multim. Alexander C. Loui, Andreas E. Savakis
2003	—	`conf`	Efficient Mobile Imaging Using Emphasis Image Selection. PICS Jiebo Luo, Amit Singhal, Andreas E. Savakis
2002	—	`conf`	A Computationally Efficient Approach to Indoor/Outdoor Scene Classification. ICPR (4) Navid Serrano, Andreas E. Savakis, Jiebo Luo
2002	—	`conf`	Benchmarking and hardware implementation of JPEG-LS. ICIP (2) Andreas E. Savakis, Michael D. Piorun
2002	J	`jnl`	Evaluation of algorithms for lossless compression of continuous-tone images. J. Electronic Imaging Andreas E. Savakis
2001	—	`conf`	Indoor vs outdoor classification of consumer photographs using low-level and semantic features. ICIP (2) Jiebo Luo, Andreas E. Savakis
2001	J	`jnl`	Self-supervised texture segmentation using complementary types of features. Pattern Recognit. Jiebo Luo, Andreas E. Savakis
2000	A	`conf`	Automatic Image Event Segmentation and Quality Screening for Albuming Applications. IEEE International Conference on Multimedia and Expo (II) Alexander C. Loui, Andreas E. Savakis
2000	B	`conf`	Evaluation of Lossless Compression Methods for Gray Scale Document Images. ICIP Andreas E. Savakis
2000	—	`conf`	Evaluation of image appeal in consumer photography. Human Vision and Electronic Imaging Andreas E. Savakis, Stephen P. Etz, Alexander C. Loui
2000	B	`conf`	On the Application of Bayes Networks to Semantic Understanding of Consumer Photographs. ICIP Jiebo Luo, Andreas E. Savakis, Stephen P. Etz, Amit Singhal
2000	B	`conf`	Two-Stage Texture Segmentation Using Complementary Features. ICIP Jiebo Luo, Andreas E. Savakis
1998	—	`conf`	Adaptive Document Image Thresholding using Foreground and Background Clustering. ICIP (3) Andreas E. Savakis
1994	—	`conf`	Operator Decomposition using the Wavelet Transform: Fundamental Properties and Image Restoration Applications. ICIP (1) Michael E. Zervakis, Taek Mu Kwon, Andreas E. Savakis
1993	J	`jnl`	Blur identification by residual spectral matching. IEEE Trans. Image Process. Andreas E. Savakis, H. Joel Trussell
1993	J	`jnl`	On the accuracy of PSF representation in image restoration. IEEE Trans. Image Process. Andreas E. Savakis, H. Joel Trussell
1991	Misc	`conf`	Blur identification by statistical analysis. ICASSP H. Joel Trussell, Andreas E. Savakis