| X-MIR: EXplainable Medical Image Retrieval B Hu, B Vasu, A Hoogs Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 73 | 2022 |
| SIAMESE NETWORK WITH MULTI-LEVEL FEATURES FOR PATCH-BASED CHANGE DETECTION IN SATELLITE IMAGERY F Rahman, B Vasu, J Van Cor, J Kerekes, A Savakis 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 61 | 2018 |
| XAITK: The explainable AI toolkit B Hu, P Tunison, B Vasu, N Menon, R Collins, A Hoogs Applied AI Letters 2 (4), e40, 2021 | 19 | 2021 |
| Aerial-cam: Salient structures and textures in network class activation maps of aerial imagery B Vasu, FU Rahman, A Savakis 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop …, 2018 | 12 | 2018 |
| Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations B Vasu, C Long Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 11 | 2020 |
| Resilience and Self-Healing of Deep Convolutional Object Detectors FU Rahman, B Vasu, A Savakis 2018 25th IEEE International Conference on Image Processing (ICIP), 3443-3447, 2018 | 7 | 2018 |
| Explainable, interactive c ontent‐based image retrieval B Vasu, B Hu, B Dong, R Collins, A Hoogs Applied AI Letters 2 (4), e41, 2021 | 6 | 2021 |
| Resilience and Plasticity of Deep Network Interpretations for Aerial Imagery B Vasu, A Savakis IEEE Access 8, 127491-127506, 2020 | 4 | 2020 |
| Visualizing resiliency of deep convolutional network interpretations for aerial imagery BK Vasu Rochester Institute of Technology, 2018 | 4 | 2018 |
| X-MIR: EXplainable medical image retrieval. In 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) B Hu, B Vasu, A Hoogs IEEE Computer Society, 1544-1554, 2022 | 2 | 2022 |
| Visualizing the Resilience of Deep Convolutional Network Interpretations. B Vasu, AE Savakis CVPR Workshops, 107-110, 2019 | 1 | 2019 |
| Interactive Mars Image Content-Based Search with Interpretable Machine Learning B Vasu, S Lu, E Dunkel, KL Wagstaff, K Grimes, M McAuley Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 22976 …, 2024 | | 2024 |
| Global explanations for image classifiers (student abstract) BK Vasu, P Tadepalli Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16352 …, 2023 | | 2023 |
| Content-Based Search of Large Image Archives at the PDS Imaging Node Motivation of Content-Based Search S Lu, KL Wagstaff, E Dunkel, B Vasu, K Grimes, M Mcauley Authorea Preprints, 2023 | | 2023 |
| Content-based Search of Large Image Archives at PDS Imaging Node S Lu, E Dunkel, B Vasu, K Grimes, J McAuley, KL Wagstaff AGU Fall Meeting Abstracts 2022, IN21C-01, 2022 | | 2022 |
Andreas SavakisProfessor of Computer Engineering, Rochester Institute of Technology在 rit.edu 的电子邮件经过验证
