| Energy-based learning for scene graph generation M Suhail, A Mittal, B Siddiquie, C Broaddus, J Eledath, G Medioni, L Sigal Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 153 | 2021 |
| Light field neural rendering M Suhail, C Esteves, L Sigal, A Makadia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 103 | 2022 |
| Generalizable patch-based neural rendering M Suhail, C Esteves, L Sigal, A Makadia European Conference on Computer Vision, 156-174, 2022 | 62 | 2022 |
| Segmentation-grounded scene graph generation S Khandelwal, M Suhail, L Sigal Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 32 | 2021 |
| Mixture-kernel graph attention network for situation recognition M Suhail, L Sigal Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 26 | 2019 |
| Generalized fourier features for coordinate-based learning of functions on manifolds C Esteves, T Lu, M Suhail, Y Chen, A Makadia | 1 | 2021 |
| Understanding semantics and geometry of scenes M Suhail University of British Columbia, 2024 | | 2024 |
| 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 | | 2023 |
| Graph neural network for situation recognition M Suhail University of British Columbia, 2019 | | 2019 |
| Aesthetic Rating and Emotion Analysis using deep learning M Suhail, S Kumar, A Balagopalan | | |
Leonid SigalProfessor, University of British ColumbiaVerified email at cs.ubc.ca
