| 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 | 214 | 2019 |
| 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 | 156 | 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 | 81* | 2020 |
| 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 | 45 | 2020 |
| Sf-net: Single-frame supervision for temporal action localization F Ma, L Zhu, Y Yang, S Zha, G Kundu, M Feiszli, Z Shou European conference on computer vision, 420-437, 2020 | 26 | 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 | 25 | 2020 |
| 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 | 24 | 2020 |
| 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 | 18 | 2018 |
| 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 | 14 | 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, 64980G, 2007 | 11 | 2007 |
| 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 | 9* | 2017 |
| Generic event boundary detection: A benchmark for event segmentation MZ Shou, SW Lei, W Wang, D Ghadiyaram, M Feiszli arXiv preprint arXiv:2101.10511, 2021 | 6 | 2021 |
| Metric spaces of shapes and applications: compression, curve matching and low-dimensional representation M Feiszli, S Kushnarev, K Leonard Geometry, Imaging and Computing 1 (2), 173-221, 2014 | 6 | 2014 |
| Conformal shape representation M Feiszli Ph. D. Thesis, Division of Applied Mathematics, Brown University, 2008 | 6 | 2008 |
| Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation W Wang, M Feiszli, H Wang, D Tran arXiv preprint arXiv:2104.04691, 2021 | 4 | 2021 |
| EXTREMAL DISTANCE, HYPERBOLIC DISTANCE, AND CONVEX HULLS OVER DOMAINS WITH SMOOTH BOUNDARY. M Feiszli Annales Academiae Scientiarum Fennicae. Mathematica 36 (2), 2011 | 4 | 2011 |
| 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 | 2 | 2021 |
| 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 | 1 | 2021 |
| Approximately Covariant Convolutional Neural Networks G Demisse, M Feiszli N/A, 2021 | | 2021 |
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