CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism J Lei, K Daniilidis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 36 | 2022 |
Pix2surf: Learning parametric 3d surface models of objects from images J Lei, S Sridhar, P Guerrero, M Sung, N Mitra, LJ Guibas Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 31 | 2020 |
Gart: Gaussian articulated template models J Lei, Y Wang, G Pavlakos, L Liu, K Daniilidis arXiv preprint arXiv:2311.16099, 2023 | 15 | 2023 |
Unified fourier-based kernel and nonlinearity design for equivariant networks on homogeneous spaces Y Xu, J Lei, E Dobriban, K Daniilidis International Conference on Machine Learning, 24596-24614, 2022 | 13 | 2022 |
Efem: Equivariant neural field expectation maximization for 3d object segmentation without scene supervision J Lei, C Deng, K Schmeckpeper, L Guibas, K Daniilidis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
Dynmf: Neural motion factorization for real-time dynamic view synthesis with 3d gaussian splatting A Kratimenos, J Lei, K Daniilidis arXiv preprint arXiv:2312.00112, 2023 | 10 | 2023 |
NAP: Neural 3D Articulated Object Prior J Lei, C Deng, WB Shen, LJ Guibas, K Daniilidis Advances in Neural Information Processing Systems 36, 2024 | 7* | 2024 |
Banana: Banach fixed-point network for pointcloud segmentation with inter-part equivariance C Deng, J Lei, WB Shen, K Daniilidis, LJ Guibas Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
Equivariant Convolution and Transformer in Ray Space Y Xu, J Lei, K Daniilidis Advances in Neural Information Processing Systems 36, 2024 | 1* | 2024 |
Track Everything Everywhere Fast and Robustly Y Song, J Lei, Z Wang, L Liu, K Daniilidis arXiv preprint arXiv:2403.17931, 2024 | | 2024 |
Equivariant Light Field Convolution and Transformer Y Xu, J Lei, K Daniilidis arXiv preprint arXiv:2212.14871, 2022 | | 2022 |
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images—Supplementary Material J Lei, S Sridhar, P Guerrero, M Sung, N Mitra, LJ Guibas | | |
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision—Supplementary Material— J Lei, C Deng, K Schmeckpeper, L Guibas, K Daniilidis | | |
NAP: Neural 3D Articulated Object Prior–Supplementary Material– J Lei, C Deng, B Shen, L Guibas, K Daniilidis13 | | |