| Learning to see physics via visual de-animation J Wu, E Lu, P Kohli, B Freeman, J Tenenbaum Advances in neural information processing systems 30, 2017 | 230 | 2017 |
| Mast: A memory-augmented self-supervised tracker Z Lai, E Lu, W Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 220 | 2020 |
| Self-supervised video object segmentation by motion grouping C Yang, H Lamdouar, E Lu, A Zisserman, W Xie Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 174 | 2021 |
| Class-agnostic counting E Lu, W Xie, A Zisserman Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 166 | 2019 |
| Ziplora: Any subject in any style by effectively merging loras V Shah, N Ruiz, F Cole, E Lu, S Lazebnik, Y Li, V Jampani European Conference on Computer Vision, 422-438, 2024 | 70 | 2024 |
| Layered neural rendering for retiming people in video E Lu, F Cole, T Dekel, W Xie, A Zisserman, D Salesin, WT Freeman, ... arXiv preprint arXiv:2009.07833, 2020 | 70 | 2020 |
| Omnimatte: Associating objects and their effects in video E Lu, F Cole, T Dekel, A Zisserman, WT Freeman, M Rubinstein Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 52 | 2021 |
| Self-supervised autoflow HP Huang, C Herrmann, J Hur, E Lu, K Sargent, A Stone, MH Yang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Associating objects and their effects in video through coordination games E Lu, F Cole, W Xie, T Dekel, B Freeman, A Zisserman, M Rubinstein Advances in Neural Information Processing Systems 35, 27049-27060, 2022 | 4 | 2022 |
| Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video M Suhail, E Lu, Z Li, N Snavely, L Sigal, F Cole Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| VidPanos: Generative panoramic videos from casual panning videos J Ma, E Lu, R Paiss, S Zada, A Holynski, T Dekel, B Curless, M Rubinstein, ... SIGGRAPH Asia 2024 Conference Papers, 1-11, 2024 | 1 | 2024 |
| Generative Omnimatte: Learning to Decompose Video into Layers YC Lee, E Lu, S Rumbley, M Geyer, JB Huang, T Dekel, F Cole arXiv preprint arXiv:2411.16683, 2024 | 1 | 2024 |
| Systems and Methods for Identifying and Extracting Object-Related Effects in Videos FH Cole, A Zisserman, T Dekel, WT Freeman, E Lu, M Rubinstein US Patent App. 18/560,609, 2024 | 1 | 2024 |
| Re-Timing Objects in Video Via Layered Neural Rendering FH Cole, E Lu, T Dekel, WT Freeman, DH Salesin, M Rubinstein US Patent App. 17/927,101, 2023 | | 2023 |
| Associating Objects and their Effects in Unconstrained Monocular Video M Suhail, E Lu, Z Li, N Snavely, L Sigal, F Cole | | 2023 |
| On the Origin of Species of Self-Supervised Learning S Albanie, E Lu, JF Henriques arXiv preprint arXiv:2103.17143, 2021 | | 2021 |
| Self-supervised video understanding E Lu University of Oxford, 2021 | | 2021 |
| Drawing flowcharts on touch-enabled devices W Li, E Lu | | 2017 |
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