| Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching X Gu*, Z Fan*, S Zhu, Z Dai, F Tan, P Tan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 697 | 2020 |
| Two-step approach for single underwater image enhancement X Fu, Z Fan, M Ling, Y Huang, X Ding 2017 international symposium on intelligent signal processing and …, 2017 | 247 | 2017 |
| Residual-guide network for single image deraining Z Fan, H Wu, X Fu, Y Huang, X Ding Proceedings of the 26th ACM international conference on Multimedia, 1751-1759, 2018 | 188* | 2018 |
| Sinnerf: Training neural radiance fields on complex scenes from a single image D Xu, Y Jiang, P Wang, Z Fan, H Shi, Z Wang European Conference on Computer Vision, 736-753, 2022 | 138 | 2022 |
| A deep information sharing network for multi-contrast compressed sensing MRI reconstruction L Sun, Z Fan, X Fu, Y Huang, X Ding, J Paisley IEEE Transactions on Image Processing 28 (12), 6141-6153, 2019 | 115 | 2019 |
| Neurallift-360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views D Xu, Y Jiang, P Wang, Z Fan, Y Wang, Z Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 94 | 2023 |
| Compressed Sensing MRI Using a Recursive Dilated Network L Sun*, Z Fan*, Y Huang, X Ding, J Paisley Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 77 | 2018 |
| Joint CS-MRI reconstruction and segmentation with a unified deep network L Sun*, Z Fan*, X Ding, Y Huang, J Paisley Information Processing in Medical Imaging: 26th International Conference …, 2019 | 76 | 2019 |
| Unified implicit neural stylization Z Fan, Y Jiang, P Wang, X Gong, D Xu, Z Wang European Conference on Computer Vision, 636-654, 2022 | 72 | 2022 |
| NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes Z Fan, P Wang, Y Jiang, X Gong, D Xu, Z Wang The Eleventh International Conference on Learning Representations(ICLR), 2023 | 49 | 2023 |
| M³vit: Mixture-of-experts vision transformer for efficient multi-task learning with model-accelerator co-design Z Fan, R Sarkar, Z Jiang, T Chen, K Zou, Y Cheng, C Hao, Z Wang Advances in Neural Information Processing Systems 35, 28441-28457, 2022 | 43 | 2022 |
| Aug-nerf: Training stronger neural radiance fields with triple-level physically-grounded augmentations T Chen, P Wang, Z Fan, Z Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 42 | 2022 |
| Floorplancad: A large-scale cad drawing dataset for panoptic symbol spotting Z Fan, L Zhu, H Li, X Chen, S Zhu, P Tan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 39 | 2021 |
| Lightgaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ fps Z Fan, K Wang, K Wen, Z Zhu, D Xu, Z Wang arXiv preprint arXiv:2311.17245, 2023 | 36 | 2023 |
| Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields S Zhou, H Chang, S Jiang, Z Fan, Z Zhu, D Xu, P Chari, S You, Z Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 31 | 2024 |
| A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI Z Fan, L Sun, X Ding, Y Huang, C Cai, J Paisley Proceedings of the European Conference on Computer Vision (ECCV), 55-70, 2018 | 29 | 2018 |
| Steganerf: Embedding invisible information within neural radiance fields C Li*, BY Feng*, Z Fan*, P Pan, Z Wang Proceedings of the IEEE/CVF International Conference on Computer Vision, 441-453, 2023 | 28 | 2023 |
| Fsgs: Real-time few-shot view synthesis using gaussian splatting Z Zhu*, Z Fan*, Y Jiang, Z Wang arXiv preprint arXiv:2312.00451, 2023 | 27 | 2023 |
| Region-of-interest undersampled MRI reconstruction: a deep convolutional neural network approach L Sun, Z Fan, X Ding, Y Huang, J Paisley Magnetic resonance imaging 63, 185-192, 2019 | 25 | 2019 |
| Signal processing for implicit neural representations D Xu, P Wang, Y Jiang, Z Fan, Z Wang Advances in Neural Information Processing Systems 35, 13404-13418, 2022 | 24 | 2022 |
Zhangyang (Atlas) WangXTX Markets & University of Texas at AustinBestätigte E-Mail-Adresse bei utexas.edu
