| Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo A Chen, Z Xu, F Zhao, X Zhang, F Xiang, J Yu, H Su Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 845 | 2021 |
| Disentangled image matting S Cai, X Zhang, H Fan, H Huang, J Liu, J Liu, J Liu, J Wang, J Sun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 166 | 2019 |
| DMCNN: Dual-domain Multi-scale Convolutional Neural Network for Compression Artifacts Removal X Zhang, W Yang, Y Hu, J Liu International Conference on Image Processing, 2018 | 151 | 2018 |
| NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction X Zhang, S Bi, K Sunkavalli, H Su, Z Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 123 | 2022 |
| TensoIR: Tensorial Inverse Rendering H Jin, I Liu, P Xu, X Zhang, S Han, S Bi, X Zhou, Z Xu, H Su Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 113 | 2023 |
| How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning X Pan, W Wang, X Zhang, B Li, J Yi, D Song AAMAS 19 (2019), 368-376, 2019 | 86 | 2019 |
| A Comprehensive Benchmark for Single Image Compression Artifact Reduction J Liu, D Liu, W Yang, S Xia, X Zhang, Y Dai IEEE Transactions on Image Processing 29, 7845-7860, 2020 | 74 | 2020 |
| Bridging the gap between computational photography and visual recognition RG VidalMata, S Banerjee, B RichardWebster, M Albright, P Davalos, ... IEEE transactions on pattern analysis and machine intelligence 43 (12), 4272 …, 2020 | 67 | 2020 |
| Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance M Liu, X Zhang, H Su European Conference on Computer Vision, 68-84, 2020 | 63 | 2020 |
| Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration X Zhang, Y Lu, J Liu, B Dong International Conference on Learning Representations, 2019 | 59 | 2019 |
| Nerflets: Local radiance fields for efficient structure-aware 3d scene representation from 2d supervision X Zhang, A Kundu, T Funkhouser, L Guibas, H Su, K Genova Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 49 | 2023 |
| Close the optical sensing domain gap by physics-grounded active stereo sensor simulation X Zhang, R Chen, A Li, F Xiang, Y Qin, J Gu, Z Ling, M Liu, P Zeng, S Han, ... IEEE Transactions on Robotics 39 (3), 2429-2447, 2023 | 32 | 2023 |
| Style equalization: Unsupervised learning of controllable generative sequence models JHR Chang, A Shrivastava, H Koppula, X Zhang, O Tuzel International Conference on Machine Learning, 2917-2937, 2022 | 23 | 2022 |
| MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field K Yang, X Zhang, Z Huang, X Chen, Z Xu, H Su arXiv preprint arXiv:2303.05703, 2023 | 9 | 2023 |
| ActiveZero: Mixed Domain Learning for Active Stereovision With Zero Annotation I Liu, E Yang, J Tao, R Chen, X Zhang, Q Ran, Z Liu, H Su Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 8 | 2022 |
| MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model M Liu, C Zeng, X Wei, R Shi, L Chen, C Xu, M Zhang, Z Wang, X Zhang, ... Neural Information Processing Systems, 2024 | 6 | 2024 |
| Activezero++: mixed domain learning stereo and confidence-based depth completion with zero annotation R Chen, I Liu, E Yang, J Tao, X Zhang, Q Ran, Z Liu, J Xu, H Su IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 4 | 2023 |
| ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images X Zhang, Z Wang, H Zhou, S Ghosh, D Gnanapragasam, V Jampani, H Su, ... European Conference on Computer Vision, 2024 | 3 | 2024 |
| Fast Large-Scale Radiance Field Reconstruction Z Xu, X Zhang, S Bi, K Sunkavalli, H Su US Patent US20240312118A1, 2024 | | 2024 |
Hao SuUCSD CSECorreu electrònic verificat a ucsd.edu
