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Vitali Petsiuk
Vitali Petsiuk
PhD student, Boston University
bu.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
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Alıntı yapanlar
Alıntı yapanlar
Yıl
RISE: Randomized Input Sampling for Explanation of Black-box Models. arxiv 2018
V Petsiuk, A Das, K Saenko
British Machine Vision Conference (BMVC), 2018
417*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
212021
RISE: Randomized Input Sampling for Explanation of Black-Box Models (2018)
V Petsiuk, A Das, K Saenko
arXiv preprint arXiv:1806.07421, 2018
192018
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
102019
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
92020
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
62021
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
12019
Explanatory visualizations for object detection
RB Jain, VI Morariu, V Petsiuk, V Manjunatha, A Mehra, VIO Roman
US Patent 11,227,159, 2022
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 …, 2022
2022
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