| Adjoint map representation for shape analysis and matching R Huang, M Ovsjanikov Computer Graphics Forum 36 (5), 151-163, 2017 | 41 | 2017 |
| Consistent ZoomOut: Efficient Spectral Map Synchronization R Huang, J Ren, P Wonka, M Ovsjanikov Computer Graphics Forum 39 (5), 265-278, 2020 | 39 | 2020 |
| Limit shapes–a tool for understanding shape differences and variability in 3d model collections R Huang, P Achlioptas, L Guibas, M Ovsjanikov Computer Graphics Forum 38 (5), 187-202, 2019 | 27 | 2019 |
| Operatornet: Recovering 3d shapes from difference operators R Huang, MJ Rakotosaona, P Achlioptas, LJ Guibas, M Ovsjanikov Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 16 | 2019 |
| On the stability of functional maps and shape difference operators R Huang, F Chazal, M Ovsjanikov Computer Graphics Forum 37 (1), 145-158, 2018 | 10 | 2018 |
| Spatially and spectrally consistent deep functional maps M Sun, S Mao, P Jiang, M Ovsjanikov, R Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| EFENet: Reference-based video super-resolution with enhanced flow estimation Y Zhao, M Ji, R Huang, B Wang, S Wang Artificial Intelligence: First CAAI International Conference, CICAI 2021 …, 2021 | 9 | 2021 |
| Cross-camera deep colorization Y Zhao, H Zheng, M Ji, R Huang CAAI International Conference on Artificial Intelligence, 3-17, 2022 | 5 | 2022 |
| Neural intrinsic embedding for non-rigid point cloud matching P Jiang, M Sun, R Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Latent space representation for shape analysis and learning R Huang, P Achlioptas, L Guibas, M Ovsjanikov arXiv preprint arXiv:1806.03967, 2018 | 3 | 2018 |
| OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning H Ying, Y Yin, J Zhang, F Wang, T Yu, R Huang, L Fang arXiv preprint arXiv:2311.11666, 2023 | 2 | 2023 |
| Optical neural ordinary differential equations Y Zhao, H Chen, M Lin, H Zhang, T Yan, R Huang, X Lin, Q Dai Optics Letters 48 (3), 628-631, 2023 | 2 | 2023 |
| ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis J Zhang, R Tang, Z Cao, J Xiao, R Huang, L Fang Advances in Neural Information Processing Systems 35, 23510-23523, 2022 | 2 | 2022 |
| Non-Rigid Shape Registration via Deep Functional Maps Prior P Jiang, M Sun, R Huang arXiv preprint arXiv:2311.04494, 2023 | 1 | 2023 |
| GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit Meta-Deformed Manifold G Wang, J Zhang, K Zhang, R Huang, L Fang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 1 | 2023 |
| ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-view Stereopsis H Ying, J Zhang, Y Chen, Z Cao, J Xiao, R Huang, L Fang Proceedings of the 30th ACM International Conference on Multimedia, 6113-6124, 2022 | 1 | 2022 |
| Beyond Talking--Generating Holistic 3D Human Dyadic Motion for Communication M Sun, C Xu, X Jiang, Y Liu, B Sun, R Huang arXiv preprint arXiv:2403.19467, 2024 | | 2024 |
| XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold G Wang, J Zhang, F Wang, R Huang, L Fang arXiv preprint arXiv:2403.19517, 2024 | | 2024 |
| Non-Rigid Shape Registration via Deep Functional Maps Prior M Sun, R Huang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Optical computing for neural ordinary differential equations Y Zhao, H Chen, M Lin, H Zhang, T Yan, X Lin, R Huang, Q Dai AOPC 2023: AI in Optics and Photonics 12966, 132-136, 2023 | | 2023 |
