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Miguel Martin
Miguel Martin
Facebook AI Research
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Ego4d: Around the world in 3,000 hours of egocentric video
K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ...
arXiv preprint arXiv:2110.07058, 2021
7932021
Captum: A unified and generic model interpretability library for pytorch
N Kokhlikyan, V Miglani, M Martin, E Wang, B Alsallakh, J Reynolds, ...
arXiv preprint arXiv:2009.07896, 2020
7832020
Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
592024
Captum: A unified and generic model interpretability library for PyTorch. arXiv
N Kokhlikyan, V Miglani, M Martin, E Wang, B Alsallakh, J Reynolds, ...
arXiv preprint arXiv:2009.07896, 2020
252020
Investigating saturation effects in integrated gradients
V Miglani, N Kokhlikyan, B Alsallakh, M Martin, O Reblitz-Richardson
arXiv preprint arXiv:2010.12697, 2020
242020
Captum: A unified and generic model interpretability library for PyTorch. arXiv 2020
N Kokhlikyan, V Miglani, M Martin, E Wang, B Alsallakh, J Reynolds, ...
arXiv preprint arXiv:2009.07896, 0
18
Ego4d goal-step: Toward hierarchical understanding of procedural activities
Y Song, E Byrne, T Nagarajan, H Wang, M Martin, L Torresani
Advances in Neural Information Processing Systems 36, 2024
132024
Investigating sanity checks for saliency maps with image and text classification
N Kokhlikyan, V Miglani, B Alsallakh, M Martin, O Reblitz-Richardson
arXiv preprint arXiv:2106.07475, 2021
122021
A unified and generic model interpretability library for PyTorch, 2020
N Kokhlikyan, V Miglani, M Martin, E Wang, B Alsallakh, J Reynolds, ...
2009
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