Andreas E. Savakis

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 76

Top Venues

Publications

Navin Ranjan, Andreas E. Savakis
LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation. CoRR (2024)
Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis
Continual Unsupervised Domain Adaptation in Data-Constrained Environments. IEEE Trans. Artif. Intell. 5 (1) (2024)
Bruno Artacho, Andreas E. Savakis
Full-BAPose: Bottom Up Framework for Full Body Pose Estimation. Sensors 23 (7) (2023)
Chowdhury Sadman Jahan, Andreas E. Savakis
Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather. CoRR (2023)
Chowdhury Sadman Jahan, Andreas E. Savakis
Unknown Sample Discovery for Source Free Open Set Domain Adaptation. CoRR (2023)
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) (2023)
Bruno Artacho, Andreas E. Savakis
BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations. WACV (Workshops) (2023)
Chowdhury Sadman Jahan, Andreas E. Savakis
Curriculum Guided Domain Adaptation in the Dark. CoRR (2023)
Alexander Avery, Andreas E. Savakis
DeepRM: Deep Recurrent Matching for 6D Pose Refinement. CVPR Workshops (2023)
Divyansh Gupta, Bruno Artacho, Andreas E. Savakis
HandyPose: Multi-level framework for hand pose estimation. Pattern Recognit. 128 (2022)
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) (2022)
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) (2022)
Alexander Avery, Andreas E. Savakis
DeepRM: Deep Recurrent Matching for 6D Pose Refinement. CoRR (2022)
Navya Nagananda, Breton L. Minnehan, Andreas E. Savakis
Robust $L_p$-Norm Linear Discriminant Analysis with Proxy Matrix Optimization. TAG-ML (2022)
Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis
Unsupervised Continual Learning for Gradually Varying Domains. CVPR Workshops (2022)
Chowdhury Sadman Jahan, Andreas E. Savakis, Erik Blasch
SAR Image Classification with Knowledge Distillation and Class Balancing for Long-Tailed Distributions. IVMSP (2022)
Christian Lusardi, Abu Md Niamul Taufique, Andreas E. Savakis
Robust Multi-Object Tracking Using Re-Identification Features and Graph Convolutional Networks. ICCVW (2021)
Abu Md Niamul Taufique, Andreas E. Savakis, Jonathan Leckenby
Automatic Quantification of Facial Asymmetry using Facial Landmarks. CoRR (2021)
Abu Md Niamul Taufique, Breton Minnehan, Andreas E. Savakis
Benchmarking Deep Trackers on Aerial Videos. CoRR (2021)
Navya Nagananda, Andreas E. Savakis
GILDA++: Grassmann Incremental Linear Discriminant Analysis. CVPR Workshops (2021)
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 (2021)
Abu Md Niamul Taufique, Navya Nagananda, Andreas E. Savakis
Visualization of Deep Transfer Learning In SAR Imagery. CoRR (2021)
Navya Nagananda, Abu Md Niamul Taufique, Raaga Madappa, Chowdhury Sadman Jahan, Breton Minnehan, Todd V. Rovito, Andreas E. Savakis
Benchmarking Domain Adaptation Methods on Aerial Datasets. Sensors 21 (23) (2021)
Nilesh Pandey, Andreas E. Savakis
Extreme Face Inpainting with Sketch-Guided Conditional GAN. CoRR (2021)
Udit Sharma, Bruno Artacho, Andreas E. Savakis
GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention. Sensors 21 (22) (2021)
Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis
ConDA: Continual Unsupervised Domain Adaptation. CoRR (2021)
Nilesh Pandey, Andreas E. Savakis
Extreme Face Inpainting with Sketch-Guided Conditional GAN. Computational Imaging (2021)
Abu Md Niamul Taufique, Andreas E. Savakis
LABNet: Local graph aggregation network with class balanced loss for vehicle re-identification. Neurocomputing 463 (2021)
Bruno Artacho, Andreas E. Savakis
OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation. CoRR (2021)
Bruno Artacho, Andreas E. Savakis
BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations. CoRR (2021)
Navya Nagananda, Breton Minnehan, Andreas E. Savakis
Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization. CoRR (2021)
Bruno Artacho, Andreas E. Savakis
UniPose: Unified Human Pose Estimation in Single Images and Videos. CVPR (2020)
Bhavan Vasu, Andreas E. Savakis
Resilience and Plasticity of Deep Network Interpretations for Aerial Imagery. IEEE Access 8 (2020)
Nilesh Pandey, Andreas E. Savakis
Poly-GAN: Multi-conditioned GAN for fashion synthesis. Neurocomputing 414 (2020)
Abu Md Niamul Taufique, Breton Minnehan, Andreas E. Savakis
Benchmarking Deep Trackers on Aerial Videos. Sensors 20 (2) (2020)
Abu Md Niamul Taufique, Andreas E. Savakis
LABNet: Local Graph Aggregation Network with Class Balanced Loss for Vehicle Re-Identification. CoRR (2020)
Abu Md Niamul Taufique, Navya Nagananda, Andreas E. Savakis
Visualization of Deep Transfer Learning in SAR Imagery. IGARSS (2020)
Bruno Artacho, Andreas E. Savakis
UniPose: Unified Human Pose Estimation in Single Images and Videos. CoRR (2020)
Bruno Artacho, Nilesh Pandey, Andreas E. Savakis
Efficient Multilevel Architecture for Depth Estimation from a Single Image. Computational Imaging (2020)
Bryan Blakeslee, Andreas E. Savakis
LambdaNet: A Fully Convolutional Architecture for Directional Change Detection. IMAWM (2020)
Breton Minnehan, Andreas E. Savakis
-Norm Principal Component Analysis. IEEE Signal Process. Lett. 26 (2) (2019)
Breton Minnehan, Andreas E. Savakis
Cascaded Projection: End-to-End Network Compression and Acceleration. CoRR (2019)
Nilesh Pandey, Andreas E. Savakis
Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis. CoRR (2019)
Breton Minnehan, Andreas E. Savakis
Cascaded Projection: End-To-End Network Compression and Acceleration. CVPR (2019)
Bhavan Vasu, Andreas E. Savakis
Visualizing the Resilience of Deep Convolutional Network Interpretations. CVPR Workshops (2019)
Bruno Artacho, Andreas E. Savakis
Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation. Sensors 19 (24) (2019)
Breton Minnehan, Andreas E. Savakis
Deep domain adaptation with manifold aligned label transfer. Mach. Vis. Appl. 30 (3) (2019)
Bruno Artacho, Andreas E. Savakis
Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation. CoRR (2019)
Bhavan Vasu, Faiz Ur Rahman, Andreas E. Savakis
Aerial-CAM: Salient Structures and Textures in Network Class Activation Maps of Aerial Imagery. IVMSP (2018)
Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Domínguez, Andreas E. Savakis, Ray Ptucha
Semantically Invariant Text-to-Image Generation. CoRR (2018)
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)
Shagan Sah, Ameya Shringi, Dheeraj Peri, John Hamilton, Andreas E. Savakis, Ray Ptucha
Multimodal Reconstruction Using Vector Representation. ICIP (2018)
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) (2018)
Breton Minnehan, Andreas E. Savakis
DEFRAG: Deep Euclidean Feature Representations through Adaptation on the Grassmann Manifold. CoRR (2018)
Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Domínguez, Andreas E. Savakis, Ray Ptucha
Semantically Invariant Text-to-Image Generation. ICIP (2018)
Breton Minnehan, Andreas E. Savakis
Learning Robust Feature Representations in Deep Networks for Image Classification. MIXDES (2018)
Faiz Ur Rahman, Bhavan Vasu, Andreas E. Savakis
Resilience and Self-Healing of Deep Convolutional Object Detectors. ICIP (2018)
Ying-Kai Huang, Andreas E. Savakis
Semantic Pose Machines. IMAWM (2018)
Breton Minnehan, Andreas E. Savakis
Manifold Guided Label Transfer for Deep Domain Adaptation. CVPR Workshops (2017)
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) (2017)
Murtadha D. Hssayeni, Sagar Saxena, Raymond W. Ptucha, Andreas E. Savakis
Distracted Driver Detection: Deep Learning vs Handcrafted Features. IMAWM (2017)
Sherif Azary, Andreas E. Savakis
Continuous recognition with incremental learning on Grassmann manifolds. MWSCAS (2017)
Peter Muller, Andreas E. Savakis
Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry. WACV (2017)
Jefferson Medel, Andreas E. Savakis, Behnaz Ghoraani
A novel time-frequency feature extraction algorithm based on dictionary learning. ICASSP (2016)
Sriram Kumar, Behnaz Ghoraani, Andreas E. Savakis
Joint and Discriminative Dictionary Learning for Facial Expression Recognition. IMAWM (2016)
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) (2016)
Sriram Kumar, Andreas E. Savakis
Robust Domain Adaptation on the L1-Grassmannian Manifold. CVPR Workshops (2016)
Jefferson Ryan Medel, Andreas E. Savakis
Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks. CoRR (2016)
Sriram Kumar, Andreas E. Savakis
Learning a perceptual manifold for image set classification. ICIP (2016)
Ethan Peters, Andreas E. Savakis
SVM with OpenCL: High performance implementation of support vector machines on heterogeneous systems. ICIP (2015)
Riti Sharma, Andreas E. Savakis
Lean histogram of oriented gradients features for effective eye detection. J. Electronic Imaging 24 (6) (2015)
Sherif Azary, Andreas E. Savakis
Grassmannian Spectral Regression for Learning and Classification. Int. J. Artif. Intell. Tools 24 (4) (2015)
Sherif Azary, Andreas E. Savakis
Grassmannian sparse representations. J. Electronic Imaging 24 (3) (2015)
Matthew Johnson, Andreas E. Savakis
L1-Grassmann manifolds for robust face recognition. ICIP (2015)
Michael Peres, Andreas E. Savakis
Crowdpainting with Light: Participatory Imaging at the Big Shot. ICCV Workshops (2015)
Andreas E. Savakis, Mohammad Faiz Quraishi, Breton L. Minnehan
Object tracking on mobile devices using binary descriptors. IMAWM (2015)
Raymond W. Ptucha, Andreas E. Savakis
LGE-KSVD: Robust Sparse Representation Classification. IEEE Trans. Image Process. 23 (4) (2014)
Andreas E. Savakis, Raviteja Rudra, Raymond W. Ptucha
Gesture Control Using Active Difference Signatures and Sparse Learning. ICPR (2014)
Konstantia Moirogiorgou, Michalis E. Zervakis, Andreas E. Savakis, Ioannis Sibetheros
Statistical Estimation of Fluid Flow: An Image Restoration Approach. ISVC (1) (2014)
Breton Minnehan, Henry Spang, Andreas E. Savakis
Robust and Efficient Tracker Using Dictionary of Binary Descriptors and Locality Constraints. ISVC (1) (2014)
Andreas E. Savakis, Riti Sharma, Mrityunjay Kumar
Efficient eye detection using HOG-PCA descriptor. IMAWM (2014)
Colin P. Bellmore, Raymond W. Ptucha, Andreas E. Savakis
Fusion of depth and color for an improved active shape model. ICIP (2013)
Raymond W. Ptucha, Andreas E. Savakis
LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification. CVPR Workshops (2013)
Sherif Azary, Andreas E. Savakis
Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action Recognition. CVPR Workshops (2013)
Thomas Knack, Andreas E. Savakis
Real-time content-aware video retargeting for tunnel vision assistance. Multimedia Content and Mobile Devices (2013)
Raymond W. Ptucha, Andreas E. Savakis
Manifold based sparse representation for facial understanding in natural images. Image Vis. Comput. 31 (5) (2013)
Raymond W. Ptucha, Andreas E. Savakis
Joint optimization of manifold learning and sparse representations. FG (2013)
Raymond W. Ptucha, Sherif Azary, Andreas E. Savakis
Keypoint matching and image registration using sparse representations. ICIP (2013)
Sherif Azary, Andreas E. Savakis
Grassmannian Spectral Regression for Action Recognition. ISVC (2) (2013)
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)
Sherif Azary, Andreas E. Savakis
A spatiotemporal descriptor based on radial distances and 3D joint tracking for action classification. ICIP (2012)
Raymond W. Ptucha, Andreas E. Savakis
Fusion of static and temporal predictors for unconstrained facial expression recognition. ICIP (2012)
Sherif Azary, Andreas E. Savakis
3D Action Classification Using Sparse Spatio-temporal Feature Representations. ISVC (2) (2012)
Raymond W. Ptucha, Andreas E. Savakis
Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification. ISVC (2) (2012)
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) (2012)
Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis
Manifold based Sparse Representation for robust expression recognition without neutral subtraction. ICCV Workshops (2011)
Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis
Manifold learning for simultaneous pose and facial expression recognition. ICIP (2011)
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)
Grigorios Tsagkatakis, Andreas E. Savakis
Online Distance Metric Learning for Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 21 (12) (2011)
Raymond W. Ptucha, Andreas E. Savakis
Pose estimation using facial feature points and manifold learning. ICIP (2010)

Andreas E. Savakis.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Andreas E. Savakis