Savakis, Andreas E.

16 publications

CVPRW 2025 Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model Navin Ranjan, Andreas E. Savakis

CVPRW 2025 MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model Rajat Sahay, Andreas E. Savakis

CVPRW 2024 Unknown Sample Discovery for Source Free Open Set Domain Adaptation Chowdhury Sadman Jahan, Andreas E. Savakis

CVPRW 2023 DeepRM: Deep Recurrent Matching for 6d Pose Refinement Alexander Avery, Andreas E. Savakis

CVPRW 2022 Unsupervised Continual Learning for Gradually Varying Domains Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis

CVPRW 2021 GILDA++: Grassmann Incremental Linear Discriminant Analysis Navya Nagananda, Andreas E. Savakis

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

CVPRW 2019 Visualizing the Resilience of Deep Convolutional Network Interpretations Bhavan Vasu, Andreas E. Savakis

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

CVPRW 2017 Manifold Guided Label Transfer for Deep Domain Adaptation Breton L. Minnehan, Andreas E. Savakis

CVPRW 2016 Robust Domain Adaptation on the L1-Grassmannian Manifold Sriram Kumar, Andreas E. Savakis

ICCVW 2015 Crowdpainting with Light: Participatory Imaging at the Big Shot Michael Peres, Andreas E. Savakis

CVPRW 2013 Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action Recognition Sherif Azary, Andreas E. Savakis

CVPRW 2013 LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification Raymond W. Ptucha, Andreas E. Savakis

ECCV 2010 Sparse Representations and Distance Learning for Attribute Based Category Recognition Grigorios Tsagkatakis, Andreas E. Savakis

ECCVW 2010 Sparse Representations and Distance Learning for Attribute Based Category Recognition Grigorios Tsagkatakis, Andreas E. Savakis