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 | 42 | 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 | 33 | 2020 |
Gart: Gaussian articulated template models J Lei, Y Wang, G Pavlakos, L Liu, K Daniilidis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 28 | 2024 |
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 | 23 | 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 | 14 | 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 | 12 | 2023 |
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 | 8 | 2024 |
Nap: Neural 3d articulated object prior J Lei, C Deng, WB Shen, LJ Guibas, K Daniilidis Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Track Everything Everywhere Fast and Robustly Y Song, J Lei, Z Wang, L Liu, K Daniilidis arXiv preprint arXiv:2403.17931, 2024 | 1 | 2024 |
Equivariant Convolution and Transformer in Ray Space Y Xu, J Lei, K Daniilidis Advances in Neural Information Processing Systems 36, 2024 | 1* | 2024 |
MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds J Lei, Y Weng, A Harley, L Guibas, K Daniilidis arXiv preprint arXiv:2405.17421, 2024 | | 2024 |
Equivariant light field convolution and transformer in ray space Y Xu, J Lei, K Daniilidis Proceedings of the 37th International Conference on Neural Information …, 2023 | | 2023 |
Equivariant Light Field Convolution and Transformer Y Xu, J Lei, K Daniilidis arXiv preprint arXiv:2212.14871, 2022 | | 2022 |
Supplementary Material of GART: Gaussian Articulated Template Models J Lei, Y Wang, G Pavlakos, L Liu, K Daniilidis People 28, 0.9701, 0 | | |
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 | | |