| RISE: Randomized Input Sampling for Explanation of Black-box Models. arxiv 2018 V Petsiuk, A Das, K Saenko British Machine Vision Conference (BMVC), 2018 | 941* | 2018 |
| Black-box explanation of object detectors via saliency maps V Petsiuk, R Jain, V Manjunatha, VI Morariu, A Mehra, V Ordonez, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 78 | 2021 |
| RISE: Randomized Input Sampling for Explanation of Black-Box Models (2018) V Petsiuk, A Das, K Saenko arXiv preprint arXiv:1806.07421, 2018 | 42 | 2018 |
| Why do these match? explaining the behavior of image similarity models BA Plummer, MI Vasileva, V Petsiuk, K Saenko, D Forsyth Proceedings of the European Conference on Computer Vision (ECCV), 652-669, 2020 | 17 | 2020 |
| Guided Zoom: Questioning Network Evidence for Fine-grained Classification SA Bargal, A Zunino, V Petsiuk, J Zhang, K Saenko, V Murino, S Sclaroff British Machine Vision Conference (BMVC), 2019 | 16 | 2019 |
| Guided zoom: Zooming into network evidence to refine fine-grained model decisions SA Bargal, A Zunino, V Petsiuk, J Zhang, K Saenko, V Murino, S Sclaroff IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (11), 4196 …, 2021 | 15 | 2021 |
| Human evaluation of text-to-image models on a multi-task benchmark V Petsiuk, AE Siemenn, S Surbehera, Z Chin, K Tyser, G Hunter, ... arXiv preprint arXiv:2211.12112, 2022 | 13 | 2022 |
| Beyond the visual analysis of deep model saliency SA Bargal, A Zunino, V Petsiuk, J Zhang, V Murino, S Sclaroff, K Saenko International Workshop on Extending Explainable AI Beyond Deep Models and …, 2020 | 3 | 2020 |
| Explanatory visualizations for object detection RB Jain, VI Morariu, V Petsiuk, V Manjunatha, A Mehra, VIO Roman US Patent 11,227,159, 2022 | 1 | 2022 |
| Are CNN predictions based on reasonable evidence? SA Bargal, A Zunino, V Petsiuk, J Zhang, K Saenko, V Murino, S Sclaroff CVPR Workshops 1, 2019 | 1 | 2019 |
Kate SaenkoBoston UniversityVerified email at bu.edu
