Blur identification by statistical analysis. - H. Joel Trussell; Andreas E. Savakis (ICASSP, 1991)

Blur identification by residual spectral matching. - Andreas E. Savakis; H. Joel Trussell (IEEE Trans. Image Process., 1993)

On the accuracy of PSF representation in image restoration. - Andreas E. Savakis; H. Joel Trussell (IEEE Trans. Image Process., 1993)

Operator Decomposition using the Wavelet Transform: Fundamental Properties and Image Restoration Applications. - Michael E. Zervakis; Taek Mu Kwon; Andreas E. Savakis (ICIP (1), 1994)

Adaptive Document Image Thresholding using Foreground and Background Clustering. - Andreas E. Savakis (ICIP (3), 1998)

Evaluation of image appeal in consumer photography. - Andreas E. Savakis; Stephen P. Etz; Alexander C. Loui (Human Vision and Electronic Imaging, 2000)

Two-Stage Texture Segmentation Using Complementary Features. - Jiebo Luo 001; Andreas E. Savakis (ICIP, 2000)

On the Application of Bayes Networks to Semantic Understanding of Consumer Photographs. - Jiebo Luo 001; Andreas E. Savakis; Stephen P. Etz; Amit Singhal 001 (ICIP, 2000)

Evaluation of Lossless Compression Methods for Gray Scale Document Images. - Andreas E. Savakis (ICIP, 2000)

Automatic Image Event Segmentation and Quality Screening for Albuming Applications. - Alexander C. Loui; Andreas E. Savakis (IEEE International Conference on Multimedia and Expo (II), 2000)

Indoor vs outdoor classification of consumer photographs using low-level and semantic features. - Jiebo Luo 001; Andreas E. Savakis (ICIP (2), 2001)

Self-supervised texture segmentation using complementary types of features. - Jiebo Luo 001; Andreas E. Savakis (Pattern Recognit., 2001)

Benchmarking and hardware implementation of JPEG-LS. - Andreas E. Savakis; Michael D. Piorun (ICIP (2), 2002)

A Computationally Efficient Approach to Indoor/Outdoor Scene Classification. - Navid Serrano; Andreas E. Savakis; Jiebo Luo 001 (ICPR (4), 2002)

Evaluation of algorithms for lossless compression of continuous-tone images. - Andreas E. Savakis (J. Electronic Imaging, 2002)

Efficient Mobile Imaging Using Emphasis Image Selection. - Jiebo Luo 001; Amit Singhal 001; Andreas E. Savakis (PICS, 2003)

A two phase approach to Bayesian network model selection and comparison between the MDL and DGM scoring heuristics. - Michael J. Kane; Ferat Sahin; Andreas E. Savakis (SMC, 2003)

Automated event clustering and quality screening of consumer pictures for digital albuming. - Alexander C. Loui; Andreas E. Savakis (IEEE Trans. Multim., 2003)

A flexible hardware architecture for 2-D discrete wavelet transform. - Richard Carbone; Andreas E. Savakis (FPGA, 2004)

A VHDL MPEG-7 shape descriptor extractor. - Bret Woz; Andreas E. Savakis (FPGA, 2004)

Improved techniques for watermarking halftone images. - Phil Sherry; Andreas E. Savakis (ICASSP (5), 2004)

Bayesian Network Structure Learning and Inference in Indoor vs. Outdoor Image Classification. - Michael J. Kane; Andreas E. Savakis (ICPR (2), 2004)

A neural network approach to key frame extraction. - Rajesh Narasimha; Andreas E. Savakis; Raghuveer M. Rao; Ricardo L. de Queiroz (Storage and Retrieval Methods and Applications for Multimedia, 2004)

Improved scene classification using efficient low-level features and semantic cues. - Navid Serrano; Andreas E. Savakis; Jiebo Luo 001 (Pattern Recognit., 2004)

Adaptive multilevel median filtering of image sequences. - Andreas E. Savakis; Shawn Jackson (ICIP (3), 2005)

Multilevel color form dropout: algorithms and media processor implementation. - Andreas E. Savakis; Josephine A. Smith (J. Electronic Imaging, 2005)

A Bayesian network-based framework for semantic image understanding. - Jiebo Luo 001; Andreas E. Savakis; Amit Singhal 001 (Pattern Recognit., 2005)

Parts-based face detection at multiple views. - Andreas E. Savakis; David Higgs (VISAPP (2), 2007)

Facial pose estimation for image retrieval. - Andreas E. Savakis; James Schimmel (VISAPP (2), 2007)

Multiple description based image transmission with Low Density Parity Check codes. - Grigorios Tsagkatakis; Michalis E. Zervakis; Andreas E. Savakis (ICIP, 2008)

Face Detection in Resource Constrained Wireless Systems. - Grigorios Tsagkatakis; Andreas E. Savakis (WMMP, 2008)

A random projections model for object tracking under variable pose and multi-camera views. - Grigorios Tsagkatakis; Andreas E. Savakis (ICDSC, 2009)

Random Projections for face detection under resource constraints. - Grigorios Tsagkatakis; Andreas E. Savakis (ICIP, 2009)

Facial pose estimation using a symmetrical feature model. - Raymond W. Ptucha; Andreas E. Savakis (ICME, 2009)

Indirect Camera Calibration for Surgery Tracking. - Bennet Tillapaugh; Andreas E. Savakis (ISBI, 2009)

Human Activity Recognition Using the 4D Spatiotemporal Shape Context Descriptor. - Natasha Kholgade; Andreas E. Savakis (ISVC (2), 2009)

Sparse Representations and Distance Learning for Attribute Based Category Recognition. - Grigorios Tsagkatakis; Andreas E. Savakis (ECCV Workshops (1), 2010)

Pose estimation using facial feature points and manifold learning. - Raymond W. Ptucha; Andreas E. Savakis (ICIP, 2010)

Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition. - Grigorios Tsagkatakis; Andreas E. Savakis (ICPR, 2010)

View Invariant Activity Recognition with Manifold Learning. - Sherif Azary; Andreas E. Savakis (ISVC (2), 2010)

Facial Expression Recognition Using Facial Features and Manifold Learning. - Raymond W. Ptucha; Andreas E. Savakis (ISVC (3), 2010)

Face Recognition Using Sparse Representations and Manifold Learning. - Grigorios Tsagkatakis; Andreas E. Savakis (ISVC (1), 2010)

Manifold based Sparse Representation for robust expression recognition without neutral subtraction. - Raymond W. Ptucha; Grigorios Tsagkatakis; Andreas E. Savakis (ICCV Workshops, 2011)

Manifold learning for simultaneous pose and facial expression recognition. - Raymond W. Ptucha; Grigorios Tsagkatakis; Andreas E. Savakis (ICIP, 2011)

Unsupervised automated panorama creation for realistic surveillance scenes through weighted mutual information registration. - Tommy P. Keane; Eli Saber; Harvey E. Rhody; Andreas E. Savakis; Jeffrey Raj (Image Processing: Algorithms and Systems, 2011)

Online Distance Metric Learning for Object Tracking. - Grigorios Tsagkatakis; Andreas E. Savakis (IEEE Trans. Circuits Syst. Video Technol., 2011)

A spatiotemporal descriptor based on radial distances and 3D joint tracking for action classification. - Sherif Azary; Andreas E. Savakis (ICIP, 2012)

Fusion of static and temporal predictors for unconstrained facial expression recognition. - Raymond W. Ptucha; Andreas E. Savakis (ICIP, 2012)

3D Action Classification Using Sparse Spatio-temporal Feature Representations. - Sherif Azary; Andreas E. Savakis (ISVC (2), 2012)

Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification. - Raymond W. Ptucha; Andreas E. Savakis (ISVC (2), 2012)

Low vision assistance using face detection and tracking on android smartphones. - Andreas E. Savakis; Mark Stump; Grigorios Tsagkatakis; Roy Melton; Gary Behm; Gwen Sterns (MWSCAS, 2012)

Practical image registration concerns overcome by the weighted and filtered mutual information metric. - Tommy P. Keane; Eli Saber; Harvey E. Rhody; Andreas E. Savakis; Jeffrey Raj (J. Electronic Imaging, 2012)

Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action Recognition. - Sherif Azary; Andreas E. Savakis (CVPR Workshops, 2013)

LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification. - Raymond W. Ptucha; Andreas E. Savakis (CVPR Workshops, 2013)

Real-time content-aware video retargeting for tunnel vision assistance. - Thomas Knack; Andreas E. Savakis (Multimedia Content and Mobile Devices, 2013)

Joint optimization of manifold learning and sparse representations. - Raymond W. Ptucha; Andreas E. Savakis (FG, 2013)

Fusion of depth and color for an improved active shape model. - Colin P. Bellmore; Raymond W. Ptucha; Andreas E. Savakis (ICIP, 2013)

Keypoint matching and image registration using sparse representations. - Raymond W. Ptucha; Sherif Azary; Andreas E. Savakis (ICIP, 2013)

Grassmannian Spectral Regression for Action Recognition. - Sherif Azary; Andreas E. Savakis (ISVC (2), 2013)

Manifold based sparse representation for facial understanding in natural images. - Raymond W. Ptucha; Andreas E. Savakis (Image Vis. Comput., 2013)

Efficient eye detection using HOG-PCA descriptor. - Andreas E. Savakis; Riti Sharma; Mrityunjay Kumar (IMAWM, 2014)

Gesture Control Using Active Difference Signatures and Sparse Learning. - Andreas E. Savakis; Raviteja Rudra; Raymond W. Ptucha (ICPR, 2014)

Robust and Efficient Tracker Using Dictionary of Binary Descriptors and Locality Constraints. - Breton L. Minnehan; Henry Spang; Andreas E. Savakis (ISVC (1), 2014)

Statistical Estimation of Fluid Flow: An Image Restoration Approach. - Konstantia Moirogiorgou; Michalis E. Zervakis; Andreas E. Savakis; Ioannis Sibetheros (ISVC (1), 2014)

LGE-KSVD: Robust Sparse Representation Classification. - Raymond W. Ptucha; Andreas E. Savakis (IEEE Trans. Image Process., 2014)

Object tracking on mobile devices using binary descriptors. - Andreas E. Savakis; Mohammad Faiz Quraishi; Breton L. Minnehan (IMAWM, 2015)

Crowdpainting with Light: Participatory Imaging at the Big Shot. - Michael Peres; Andreas E. Savakis (ICCV Workshops, 2015)

L1-Grassmann manifolds for robust face recognition. - Matthew Johnson; Andreas E. Savakis (ICIP, 2015)

SVM with OpenCL: High performance implementation of support vector machines on heterogeneous systems. - Ethan Peters; Andreas E. Savakis (ICIP, 2015)

Grassmannian Spectral Regression for Learning and Classification. - Sherif Azary; Andreas E. Savakis (Int. J. Artif. Intell. Tools, 2015)

Grassmannian sparse representations. - Sherif Azary; Andreas E. Savakis (J. Electronic Imaging, 2015)

Lean histogram of oriented gradients features for effective eye detection. - Riti Sharma; Andreas E. Savakis (J. Electronic Imaging, 2015)

Robust Domain Adaptation on the L1-Grassmannian Manifold. - Sriram Kumar; Andreas E. Savakis (CVPR Workshops, 2016)

Joint and Discriminative Dictionary Learning for Facial Expression Recognition. - Sriram Kumar; Behnaz Ghoraani; Andreas E. Savakis (IMAWM, 2016)

A novel time-frequency feature extraction algorithm based on dictionary learning. - Jefferson Medel; Andreas E. Savakis; Behnaz Ghoraani (ICASSP, 2016)

Learning a perceptual manifold for image set classification. - Sriram Kumar; Andreas E. Savakis (ICIP, 2016)

Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks. - Jefferson Ryan Medel; Andreas E. Savakis (CoRR, 2016)

Introduction of New Associate Editors. - 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 001; et al. (IEEE Trans. Circuits Syst. Video Technol., 2016)

Manifold Guided Label Transfer for Deep Domain Adaptation. - Breton L. Minnehan; Andreas E. Savakis (CVPR Workshops, 2017)

Distracted Driver Detection: Deep Learning vs Handcrafted Features. - Murtadha D. Hssayeni; Sagar Saxena; Raymond W. Ptucha; Andreas E. Savakis (IMAWM, 2017)

Continuous recognition with incremental learning on Grassmann manifolds. - Sherif Azary; Andreas E. Savakis (MWSCAS, 2017)

Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry. - Peter Muller; Andreas E. Savakis (WACV, 2017)

Guest Editorial Special Issue on Extreme Imaging. - William T. Freeman; Andreas E. Savakis; Yoav Y. Schechner; Noah Snavely; Wolfgang Heidrich (IEEE Trans. Computational Imaging, 2017)

Semantic Pose Machines. - Ying-Kai Huang; Andreas E. Savakis (IMAWM, 2018)

Siamese Network with Multi-Level Features for Patch-Based Change Detection in Satellite Imagery. - Faiz Ur Rahman; Bhavan Vasu; Jared Van Cor; John P. Kerekes; Andreas E. Savakis (GlobalSIP, 2018)

Resilience and Self-Healing of Deep Convolutional Object Detectors. - Faiz Ur Rahman; Bhavan Vasu; Andreas E. Savakis (ICIP, 2018)

Semantically Invariant Text-to-Image Generation. - Shagan Sah; Dheeraj Peri; Ameya Shringi; Chi Zhang 023; Miguel Domínguez; Andreas E. Savakis; Ray Ptucha (ICIP, 2018)

Multimodal Reconstruction Using Vector Representation. - Shagan Sah; Ameya Shringi; Dheeraj Peri; John Hamilton; Andreas E. Savakis; Ray Ptucha (ICIP, 2018)

Aerial-CAM: Salient Structures and Textures in Network Class Activation Maps of Aerial Imagery. - Bhavan Vasu; Faiz Ur Rahman; Andreas E. Savakis (IVMSP, 2018)

Learning Robust Feature Representations in Deep Networks for Image Classification. - Breton L. Minnehan; Andreas E. Savakis (MIXDES, 2018)

DEFRAG: Deep Euclidean Feature Representations through Adaptation on the Grassmann Manifold. - Breton L. Minnehan; Andreas E. Savakis (CoRR, 2018)

Adaptive L1-Norm Principal-Component Analysis With Online Outlier Rejection. - Panos P. Markopoulos; Mayur Dhanaraj; Andreas E. Savakis (IEEE J. Sel. Top. Signal Process., 2018)

Cascaded Projection: End-To-End Network Compression and Acceleration. - Breton L. Minnehan; Andreas E. Savakis (CVPR, 2019)

Visualizing the Resilience of Deep Convolutional Network Interpretations. - Bhavan Vasu; Andreas E. Savakis (CVPR Workshops, 2019)

Deep domain adaptation with manifold aligned label transfer. - Breton L. Minnehan; Andreas E. Savakis (Mach. Vis. Appl., 2019)

Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation. - Bruno Artacho; Andreas E. Savakis (Sensors, 2019)

Grassmann Manifold Optimization for Fast L1-Norm Principal Component Analysis. - Breton L. Minnehan; Andreas E. Savakis (IEEE Signal Process. Lett., 2019)

Efficient Multilevel Architecture for Depth Estimation from a Single Image. - Bruno Artacho; Nilesh Pandey; Andreas E. Savakis (Computational Imaging, 2020)

UniPose: Unified Human Pose Estimation in Single Images and Videos. - Bruno Artacho; Andreas E. Savakis (CVPR, 2020)

LambdaNet: A Fully Convolutional Architecture for Directional Change Detection. - Bryan Blakeslee; Andreas E. Savakis (IMAWM, 2020)

Visualization of Deep Transfer Learning in SAR Imagery. - Abu Md Niamul Taufique; Navya Nagananda; Andreas E. Savakis (IGARSS, 2020)

Resilience and Plasticity of Deep Network Interpretations for Aerial Imagery. - Bhavan Vasu; Andreas E. Savakis (IEEE Access, 2020)

Poly-GAN: Multi-conditioned GAN for fashion synthesis. - Nilesh Pandey; Andreas E. Savakis (Neurocomputing, 2020)

Benchmarking Deep Trackers on Aerial Videos. - Abu Md Niamul Taufique; Breton L. Minnehan; Andreas E. Savakis (Sensors, 2020)

Extreme Face Inpainting with Sketch-Guided Conditional GAN. - Nilesh Pandey; Andreas E. Savakis (Computational Imaging, 2021)

GILDA++: Grassmann Incremental Linear Discriminant Analysis. - Navya Nagananda; Andreas E. Savakis (CVPR Workshops, 2021)

Robust Multi-Object Tracking Using Re-Identification Features and Graph Convolutional Networks. - Christian Lusardi; Abu Md Niamul Taufique; Andreas E. Savakis (ICCVW, 2021)

OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation. - Bruno Artacho; Andreas E. Savakis (CoRR, 2021)

ConDA: Continual Unsupervised Domain Adaptation. - Abu Md Niamul Taufique; Chowdhury Sadman Jahan; Andreas E. Savakis (CoRR, 2021)

Automatic Quantification of Facial Asymmetry using Facial Landmarks. - Abu Md Niamul Taufique; Andreas E. Savakis; Jonathan Leckenby (CoRR, 2021)

SiamReID: Confuser Aware Siamese Tracker with Re-identification Feature. - Abu Md Niamul Taufique; Andreas E. Savakis; Michael Braun; Daniel Kubacki; Ethan Dell; Lei Qian; Sean M. O'Rourke (CoRR, 2021)

Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization. - Navya Nagananda; Breton L. Minnehan; Andreas E. Savakis (CoRR, 2021)

LABNet: Local graph aggregation network with class balanced loss for vehicle re-identification. - Abu Md Niamul Taufique; Andreas E. Savakis (Neurocomputing, 2021)

Benchmarking Domain Adaptation Methods on Aerial Datasets. - Navya Nagananda; Abu Md Niamul Taufique; Raaga Madappa; Chowdhury Sadman Jahan; Breton L. Minnehan; Todd V. Rovito; Andreas E. Savakis (Sensors, 2021)

GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention. - Udit Sharma; Bruno Artacho; Andreas E. Savakis (Sensors, 2021)

Unsupervised Continual Learning for Gradually Varying Domains. - Abu Md Niamul Taufique; Chowdhury Sadman Jahan; Andreas E. Savakis (CVPR Workshops, 2022)

SAR Image Classification with Knowledge Distillation and Class Balancing for Long-Tailed Distributions. - Chowdhury Sadman Jahan; Andreas E. Savakis; Erik Blasch (IVMSP, 2022)

Robust $L_p$-Norm Linear Discriminant Analysis with Proxy Matrix Optimization. - Navya Nagananda; Breton L. Minnehan; Andreas E. Savakis (TAG-ML, 2022)

UniPose+: A Unified Framework for 2D and 3D Human Pose Estimation in Images and Videos. - Bruno Artacho; Andreas E. Savakis (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

HandyPose: Multi-level framework for hand pose estimation. - Divyansh Gupta; Bruno Artacho; Andreas E. Savakis (Pattern Recognit., 2022)

Video Captioning Using Global-Local Representation. - Liqi Yan; Siqi Ma; Qifan Wang 001; Yingjie Victor Chen; Xiangyu Zhang 001; Andreas E. Savakis; Dongfang Liu (IEEE Trans. Circuits Syst. Video Technol., 2022)

DeepRM: Deep Recurrent Matching for 6D Pose Refinement. - Alexander Avery; Andreas E. Savakis (CVPR Workshops, 2023)

BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations. - Bruno Artacho; Andreas E. Savakis (WACV (Workshops), 2023)

Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather. - Chowdhury Sadman Jahan; Andreas E. Savakis (CoRR, 2023)

Full-BAPose: Bottom Up Framework for Full Body Pose Estimation. - Bruno Artacho; Andreas E. Savakis (Sensors, 2023)

On the Importance of Attention and Augmentations for Hypothesis Transfer in Domain Adaptation and Generalization. - Rajat Sahay; Georgi Thomas; Chowdhury Sadman Jahan; Mihir Manjrekar; Dan Popp; Andreas E. Savakis (Sensors, 2023)

Unknown Sample Discovery for Source Free Open Set Domain Adaptation. - Chowdhury Sadman Jahan; Andreas E. Savakis (CVPR Workshops, 2024)

LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation. - Navin Ranjan; Andreas E. Savakis (CoRR, 2024)

Waterfall Transformer for Multi-person Pose Estimation. - Navin Ranjan; Bruno Artacho; Andreas E. Savakis (CoRR, 2024)

Continual Unsupervised Domain Adaptation in Data-Constrained Environments. - Abu Md Niamul Taufique; Chowdhury Sadman Jahan; Andreas E. Savakis (IEEE Trans. Artif. Intell., 2024)

Curriculum Guided Domain Adaptation in the Dark. - Chowdhury Sadman Jahan; Andreas E. Savakis (IEEE Trans. Artif. Intell., 2024)

Metrics for Domain Shift Characterization: Comparisons and New Directions. - Navya Nagananda; Andreas E. Savakis (Int. J. Artif. Intell. Tools, 2024)

Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model. - Navin Ranjan; Andreas E. Savakis (CVPR Workshops, 2025)

MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model. - Rajat Sahay; Andreas E. Savakis (CVPR Workshops, 2025)

LRP-QViT: Mixed-Precision Vision Transformer Quantization Using Layer Importance Score. - Navin Ranjan; Andreas E. Savakis (DSP, 2025)

WTPose: Waterfall Transformer for Multi-person Pose Estimation. - Navin Ranjan; Bruno Artacho; Andreas E. Savakis (WACV (Workshops), 2025)

Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity. - Navin Ranjan; Andreas E. Savakis (CoRR, 2025)

Quantum Annealing for Robust Principal Component Analysis. - Ian Tomeo; Panos P. Markopoulos; Andreas E. Savakis (CoRR, 2025)