| Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop F Yu, A Seff, Y Zhang, S Song, T Funkhouser, J Xiao arXiv preprint arXiv:1506.03365, 2015 | 1903 | 2015 |
| Matterport3d: Learning from rgb-d data in indoor environments A Chang, A Dai, T Funkhouser, M Halber, M Niessner, M Savva, S Song, ... arXiv preprint arXiv:1709.06158, 2017 | 1474 | 2017 |
| Pixel2mesh: Generating 3d mesh models from single rgb images N Wang, Y Zhang, Z Li, Y Fu, W Liu, YG Jiang Proceedings of the European conference on computer vision (ECCV), 52-67, 2018 | 1269 | 2018 |
| Deep depth completion of a single rgb-d image Y Zhang, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 389 | 2018 |
| Deeplidar: Deep surface normal guided depth prediction for outdoor scene from sparse lidar data and single color image J Qiu, Z Cui, Y Zhang, X Zhang, S Liu, B Zeng, M Pollefeys Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 344 | 2019 |
| Turkergaze: Crowdsourcing saliency with webcam based eye tracking P Xu, KA Ehinger, Y Zhang, A Finkelstein, SR Kulkarni, J Xiao arXiv preprint arXiv:1504.06755, 2015 | 328 | 2015 |
| Physically-based rendering for indoor scene understanding using convolutional neural networks Y Zhang, S Song, E Yumer, M Savva, JY Lee, H Jin, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 293 | 2017 |
| Panocontext: A whole-room 3d context model for panoramic scene understanding Y Zhang, S Song, P Tan, J Xiao Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 271 | 2014 |
| Dist: Rendering deep implicit signed distance function with differentiable sphere tracing S Liu, Y Zhang, S Peng, B Shi, M Pollefeys, Z Cui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 254 | 2020 |
| Multi-level semantic feature augmentation for one-shot learning Z Chen, Y Fu, Y Zhang, YG Jiang, X Xue, L Sigal IEEE Transactions on Image Processing 28 (9), 4594-4605, 2019 | 226 | 2019 |
| Pixel2mesh++: Multi-view 3d mesh generation via deformation C Wen, Y Zhang, Z Li, Y Fu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 223 | 2019 |
| Learning object-compositional neural radiance field for editable scene rendering B Yang, Y Zhang, Y Xu, Y Li, H Zhou, H Bao, G Zhang, Z Cui Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 184 | 2021 |
| Hitnet: Hierarchical iterative tile refinement network for real-time stereo matching V Tankovich, C Hane, Y Zhang, A Kowdle, S Fanello, S Bouaziz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 178 | 2021 |
| Activestereonet: End-to-end self-supervised learning for active stereo systems Y Zhang, S Khamis, C Rhemann, J Valentin, A Kowdle, V Tankovich, ... Proceedings of the european conference on computer vision (ECCV), 784-801, 2018 | 112 | 2018 |
| Joint hand detection and rotation estimation using CNN X Deng, Y Zhang, S Yang, P Tan, L Chang, Y Yuan, H Wang IEEE transactions on image processing 27 (4), 1888-1900, 2017 | 101 | 2017 |
| Hand3d: Hand pose estimation using 3d neural network X Deng, S Yang, Y Zhang, P Tan, L Chang, H Wang arXiv preprint arXiv:1704.02224, 2017 | 93 | 2017 |
| Deepsfm: Structure from motion via deep bundle adjustment X Wei, Y Zhang, Z Li, Y Fu, X Xue Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 81 | 2020 |
| DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding Y Zhang, M Bai, P Kohli, S Izadi, J Xiao arXiv preprint arXiv:1603.04922, 2016 | 81 | 2016 |
| Framebreak: Dramatic image extrapolation by guided shift-maps Y Zhang, J Xiao, J Hays, P Tan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 81 | 2013 |
| Neural point cloud rendering via multi-plane projection P Dai, Y Zhang, Z Li, S Liu, B Zeng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 70 | 2020 |
Yanwei FuFudan UniversityE-mailová adresa ověřena na: fudan.edu.cn
