| 2025 | CVPR | Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model. | Navin Ranjan, Andreas E. Savakis |
| 2025 | CVPR | MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model. | Rajat Sahay, Andreas E. Savakis |
| 2025 | WACV | WTPose: Waterfall Transformer for Multi-person Pose Estimation. | Navin Ranjan, Bruno Artacho, Andreas E. Savakis |
| 2024 | CVPR | Unknown Sample Discovery for Source Free Open Set Domain Adaptation. | Chowdhury Sadman Jahan, Andreas E. Savakis |
| 2023 | CVPR | DeepRM: Deep Recurrent Matching for 6D Pose Refinement. | Alexander Avery, Andreas E. Savakis |
| 2023 | WACV | BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations. | Bruno Artacho, Andreas E. Savakis |
| 2022 | CVPR | Unsupervised Continual Learning for Gradually Varying Domains. | Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis |
| 2021 | CVPR | GILDA++: Grassmann Incremental Linear Discriminant Analysis. | Navya Nagananda, Andreas E. Savakis |
| 2020 | CVPR | UniPose: Unified Human Pose Estimation in Single Images and Videos. | Bruno Artacho, Andreas E. Savakis |
| 2020 | IGARSS | Visualization of Deep Transfer Learning in SAR Imagery. | Abu Md Niamul Taufique, Navya Nagananda, Andreas E. Savakis |
| 2019 | CVPR | Cascaded Projection: End-To-End Network Compression and Acceleration. | Breton L. Minnehan, Andreas E. Savakis |
| 2019 | CVPR | Visualizing the Resilience of Deep Convolutional Network Interpretations. | Bhavan Vasu, Andreas E. Savakis |
| 2018 | ICIP | Resilience and Self-Healing of Deep Convolutional Object Detectors. | Faiz Ur Rahman, Bhavan Vasu, Andreas E. Savakis |
| 2018 | ICIP | Semantically Invariant Text-to-Image Generation. | Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Domnguez, Andreas E. Savakis, Ray Ptucha |
| 2018 | ICIP | Multimodal Reconstruction Using Vector Representation. | Shagan Sah, Ameya Shringi, Dheeraj Peri, John Hamilton, Andreas E. Savakis, Ray Ptucha |
| 2017 | CVPR | Manifold Guided Label Transfer for Deep Domain Adaptation. | Breton L. Minnehan, Andreas E. Savakis |
| 2017 | WACV | Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry. | Peter Muller, Andreas E. Savakis |
| 2016 | CVPR | Robust Domain Adaptation on the L1-Grassmannian Manifold. | Sriram Kumar, Andreas E. Savakis |
| 2016 | ICASSP | A novel time-frequency feature extraction algorithm based on dictionary learning. | Jefferson Medel, Andreas E. Savakis, Behnaz Ghoraani |
| 2016 | ICIP | Learning a perceptual manifold for image set classification. | Sriram Kumar, Andreas E. Savakis |
| 2015 | ICIP | L1-Grassmann manifolds for robust face recognition. | Matthew Johnson, Andreas E. Savakis |
| 2015 | ICIP | SVM with OpenCL: High performance implementation of support vector machines on heterogeneous systems. | Ethan Peters, Andreas E. Savakis |
| 2014 | ICPR | Gesture Control Using Active Difference Signatures and Sparse Learning. | Andreas E. Savakis, Raviteja Rudra, Raymond W. Ptucha |
| 2014 | ISVC | Robust and Efficient Tracker Using Dictionary of Binary Descriptors and Locality Constraints. | Breton L. Minnehan, Henry Spang, Andreas E. Savakis |
| 2014 | ISVC | Statistical Estimation of Fluid Flow: An Image Restoration Approach. | Konstantia Moirogiorgou, Michalis E. Zervakis, Andreas E. Savakis, Ioannis Sibetheros |
| 2013 | CVPR | Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action Recognition. | Sherif Azary, Andreas E. Savakis |
| 2013 | CVPR | LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification. | Raymond W. Ptucha, Andreas E. Savakis |
| 2013 | ICIP | Fusion of depth and color for an improved active shape model. | Colin P. Bellmore, Raymond W. Ptucha, Andreas E. Savakis |
| 2013 | ICIP | Keypoint matching and image registration using sparse representations. | Raymond W. Ptucha, Sherif Azary, Andreas E. Savakis |
| 2013 | ISVC | Grassmannian Spectral Regression for Action Recognition. | Sherif Azary, Andreas E. Savakis |
| 2012 | ICIP | A spatiotemporal descriptor based on radial distances and 3D joint tracking for action classification. | Sherif Azary, Andreas E. Savakis |
| 2012 | ICIP | Fusion of static and temporal predictors for unconstrained facial expression recognition. | Raymond W. Ptucha, Andreas E. Savakis |
| 2012 | ISVC | 3D Action Classification Using Sparse Spatio-temporal Feature Representations. | Sherif Azary, Andreas E. Savakis |
| 2012 | ISVC | Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification. | Raymond W. Ptucha, Andreas E. Savakis |
| 2011 | ICIP | Manifold learning for simultaneous pose and facial expression recognition. | Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis |
| 2011 | IPAS | 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 |
| 2010 | ECCV | Sparse Representations and Distance Learning for Attribute Based Category Recognition. | Grigorios Tsagkatakis, Andreas E. Savakis |
| 2010 | ICIP | Pose estimation using facial feature points and manifold learning. | Raymond W. Ptucha, Andreas E. Savakis |
| 2010 | ICPR | Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition. | Grigorios Tsagkatakis, Andreas E. Savakis |
| 2010 | ISVC | View Invariant Activity Recognition with Manifold Learning. | Sherif Azary, Andreas E. Savakis |
| 2010 | ISVC | Facial Expression Recognition Using Facial Features and Manifold Learning. | Raymond W. Ptucha, Andreas E. Savakis |
| 2010 | ISVC | Face Recognition Using Sparse Representations and Manifold Learning. | Grigorios Tsagkatakis, Andreas E. Savakis |
| 2009 | ICIP | Random Projections for face detection under resource constraints. | Grigorios Tsagkatakis, Andreas E. Savakis |
| 2009 | ISVC | Human Activity Recognition Using the 4D Spatiotemporal Shape Context Descriptor. | Natasha Kholgade, Andreas E. Savakis |
| 2008 | ICIP | Multiple description based image transmission with Low Density Parity Check codes. | Grigorios Tsagkatakis, Michalis E. Zervakis, Andreas E. Savakis |
| 2008 | ICPR | Face Detection in Resource Constrained Wireless Systems. | Grigorios Tsagkatakis, Andreas E. Savakis |
| 2005 | ICIP | Adaptive multilevel median filtering of image sequences. | Andreas E. Savakis, Shawn Jackson |
| 2004 | FPGA | A flexible hardware architecture for 2-D discrete wavelet transform. | Richard Carbone, Andreas E. Savakis |
| 2004 | FPGA | A VHDL MPEG-7 shape descriptor extractor. | Bret Woz, Andreas E. Savakis |
| 2004 | ICASSP | Improved techniques for watermarking halftone images. | Phil Sherry, Andreas E. Savakis |
| 2004 | ICPR | Bayesian Network Structure Learning and Inference in Indoor vs. Outdoor Image Classification. | Michael J. Kane, Andreas E. Savakis |
| 2003 | SMC | 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 |
| 2002 | ICIP | Benchmarking and hardware implementation of JPEG-LS. | Andreas E. Savakis, Michael D. Piorun |
| 2002 | ICPR | A Computationally Efficient Approach to Indoor/Outdoor Scene Classification. | Navid Serrano, Andreas E. Savakis, Jiebo Luo |
| 2001 | ICIP | Indoor vs outdoor classification of consumer photographs using low-level and semantic features. | Jiebo Luo, Andreas E. Savakis |
| 2000 | ICIP | Two-Stage Texture Segmentation Using Complementary Features. | Jiebo Luo, Andreas E. Savakis |
| 2000 | ICIP | On the Application of Bayes Networks to Semantic Understanding of Consumer Photographs. | Jiebo Luo, Andreas E. Savakis, Stephen P. Etz, Amit Singhal |
| 2000 | ICIP | Evaluation of Lossless Compression Methods for Gray Scale Document Images. | Andreas E. Savakis |
| 1998 | ICIP | Adaptive Document Image Thresholding using Foreground and Background Clustering. | Andreas E. Savakis |
| 1994 | ICIP | Operator Decomposition using the Wavelet Transform: Fundamental Properties and Image Restoration Applications. | Michael E. Zervakis, Taek Mu Kwon, Andreas E. Savakis |
| 1991 | ICASSP | Blur identification by statistical analysis. | H. Joel Trussell, Andreas E. Savakis |