| Video classification with channel-separated convolutional networks D Tran, H Wang, L Torresani, M Feiszli Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 575 | 2019 |
| What makes training multi-modal classification networks hard? W Wang, D Tran, M Feiszli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 340 | 2020 |
| Large-scale weakly-supervised pre-training for video action recognition D Ghadiyaram, D Tran, D Mahajan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 339 | 2019 |
| Video Modeling with Correlation Networks H Wang, D Tran, L Torresani, M Feiszli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 130 | 2020 |
| Sf-net: Single-frame supervision for temporal action localization F Ma, L Zhu, Y Yang, S Zha, G Kundu, M Feiszli, Z Shou Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 122 | 2020 |
| Don't judge an object by its context: Learning to overcome contextual bias KK Singh, D Mahajan, K Grauman, YJ Lee, M Feiszli, D Ghadiyaram Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 104 | 2020 |
| Unidentified video objects: A benchmark for dense, open-world segmentation W Wang, M Feiszli, H Wang, D Tran Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 81 | 2021 |
| Faster recurrent networks for efficient video classification L Zhu, D Tran, L Sevilla-Lara, Y Yang, M Feiszli, H Wang Proceedings of the AAAI conference on artificial intelligence 34 (07), 13098 …, 2020 | 60 | 2020 |
| Only time can tell: Discovering temporal data for temporal modeling L Sevilla-Lara, S Zha, Z Yan, V Goswami, M Feiszli, L Torresani Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 57 | 2021 |
| Generic event boundary detection: A benchmark for event segmentation MZ Shou, SW Lei, W Wang, D Ghadiyaram, M Feiszli Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 56 | 2021 |
| PyTorchVideo: A deep learning library for video understanding H Fan, T Murrell, H Wang, KV Alwala, Y Li, Y Li, B Xiong, N Ravi, M Li, ... Proceedings of the 29th ACM international conference on multimedia, 3783-3786, 2021 | 33 | 2021 |
| Scenes-objects-actions: A multi-task, multi-label video dataset J Ray, H Wang, D Tran, Y Wang, M Feiszli, L Torresani, M Paluri Proceedings of the European Conference on Computer Vision (ECCV), 635-651, 2018 | 33 | 2018 |
| Open-world instance segmentation: Exploiting pseudo ground truth from learned pairwise affinity W Wang, M Feiszli, H Wang, J Malik, D Tran Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| Fp-nas: Fast probabilistic neural architecture search Z Yan, X Dai, P Zhang, Y Tian, B Wu, M Feiszli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 20 | 2021 |
| Curve denoising by multiscale singularity detection and geometric shrinkage M Feiszli, PW Jones Applied and Computational Harmonic Analysis 31 (3), 392-409, 2011 | 12 | 2011 |
| Shape representation via conformal mapping M Feiszli, D Mumford Computational Imaging V 6498, 133-141, 2007 | 12 | 2007 |
| Geb+: A benchmark for generic event boundary captioning, grounding and retrieval Y Wang, D Gao, L Yu, W Lei, M Feiszli, MZ Shou European Conference on Computer Vision, 709-725, 2022 | 10 | 2022 |
| Numerical Computation of Weil--Peterson Geodesics in the Universal Teichmüller Space M Feiszli, A Narayan SIAM Journal on Imaging Sciences 10 (3), 1322-1345, 2017 | 10 | 2017 |
| Searching for two-stream models in multivariate space for video recognition X Gong, H Wang, MZ Shou, M Feiszli, Z Wang, Z Yan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 6 | 2021 |
| Conformal shape representation M Feiszli Brown University, 2008 | 6 | 2008 |
Du TranSamsung Research AmericaVerified email at samsung.com
