| Distribution fields for tracking L Sevilla-Lara, EG Learned-Miller IEEE Conference on Computer Vision and Pattern Recognition, 2012 | 725 | 2012 |
| Distribution fields for tracking L Sevilla-Lara, E Learned-Miller 2012 IEEE Conference on computer vision and pattern recognition, 1910-1917, 2012 | 681 | 2012 |
| Optical flow with semantic segmentation and localized layers L Sevilla-Lara, D Sun, V Jampani, MJ Black Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 210 | 2016 |
| On the integration of optical flow and action recognition L Sevilla-Lara, Y Liao, F Güney, V Jampani, A Geiger, MJ Black Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019 | 179 | 2019 |
| Adaptive prototype learning and allocation for few-shot segmentation G Li, V Jampani, L Sevilla-Lara, D Sun, J Kim, J Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 118 | 2021 |
| Optical flow in mostly rigid scenes J Wulff, L Sevilla-Lara, MJ Black Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 116 | 2017 |
| Dmc-net: Generating discriminative motion cues for fast compressed video action recognition Z Shou, X Lin, Y Kalantidis, L Sevilla-Lara, M Rohrbach, SF Chang, Z Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 99 | 2019 |
| Smart frame selection for action recognition SN Gowda, M Rohrbach, L Sevilla-Lara Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1451-1459, 2021 | 71 | 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 | 53 | 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 | 41 | 2021 |
| Optical flow estimation with channel constancy L Sevilla-Lara, D Sun, EG Learned-Miller, MJ Black Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 39 | 2014 |
| Claster: clustering with reinforcement learning for zero-shot action recognition SN Gowda, L Sevilla-Lara, F Keller, M Rohrbach Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 15 | 2022 |
| A new split for evaluating true zero-shot action recognition SN Gowda, L Sevilla-Lara, K Kim, F Keller, M Rohrbach Pattern Recognition: 43rd DAGM German Conference, DAGM GCPR 2021, Bonn …, 2022 | 15 | 2022 |
| Automated looping video creation L Sevilla-Lara, E Shechtman, KK Sunkavalli US Patent 9,672,866, 2017 | 12 | 2017 |
| Alba: Reinforcement learning for video object segmentation SN Gowda, P Eustratiadis, T Hospedales, L Sevilla-Lara arXiv preprint arXiv:2005.13039, 2020 | 10 | 2020 |
| Smooth loops from unconstrained video L Sevilla‐Lara, J Wulff, K Sunkavalli, E Shechtman Computer Graphics Forum 34 (4), 99-107, 2015 | 8 | 2015 |
| " What Is Optical Flow for?": Workshop Results and Summary F Guney, L Sevilla-Lara, D Sun, J Wulff Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 5 | 2018 |
| Learn2augment: Learning to composite videos for data augmentation in action recognition SN Gowda, M Rohrbach, F Keller, L Sevilla-Lara Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 4 | 2022 |
| Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment B Mears, L Sevilla-Lara, E Learned-Miller BMVC 56 (3), 221-255, 2013 | 4 | 2013 |
| Distribution Fields L Sevilla-Lara, EG Learned-Miller UMass Amherst Technical Report, 2011 | 4 | 2011 |
Erik Learned-MillerProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
