| Video classification with channel-separated convolutional networks D Tran, H Wang, L Torresani, M Feiszli Proceedings of the IEEE International Conference on Computer Vision, 5552-5561, 2019 | 95 | 2019 |
| Large-scale weakly-supervised pre-training for video action recognition D Ghadiyaram, D Tran, D Mahajan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 80 | 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 | 20* | 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 | 13 | 2018 |
| 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 | 10 | 2007 |
| 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 | 9 | 2020 |
| 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 |
| Only Time Can Tell: Discovering Temporal Data for Temporal Modeling L Sevilla-Lara, S Zha, Z Yan, V Goswami, M Feiszli, L Torresani arXiv preprint arXiv:1907.08340, 2019 | 8 | 2019 |
| 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 | 7 | 2020 |
| Conformal shape representation M Feiszli, D Mumford Brown University, Providence, RI, 2008 | 6 | 2008 |
| SF-Net: Single-Frame Supervision for Temporal Action Localization F Ma, L Zhu, Y Yang, S Zha, G Kundu, M Feiszli, Z Shou arXiv preprint arXiv:2003.06845, 2020 | 5 | 2020 |
| FASTER Recurrent Networks for Efficient Video Classification. L Zhu, D Tran, L Sevilla-Lara, Y Yang, M Feiszli, H Wang AAAI, 13098-13105, 2020 | 5 | 2020 |
| Faster recurrent networks for video classification L Zhu, L Sevilla-Lara, D Tran, M Feiszli, Y Yang, H Wang arXiv preprint arXiv:1906.04226 2, 2019 | 4 | 2019 |
| 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 | 4 | 2014 |
| 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 arXiv preprint arXiv:2011.10949, 2020 | | 2020 |
| HARMONIC MEASURE, EXTREMAL DISTANCE, AND HYPERBOLIC METRICS IN SMOOTH DOMAINS M FEISZLI | | 2008 |
| THE DIFFERENTIAL GEOMETRY OF SMOOTH CONVEX HULL BOUNDARIES M FEISZLI | | 2008 |
| Metric spaces of shapes and applications: compression, curve matching and low-dimensional representation K Leonard, M Feiszli | | |
