| Multi-scale context aggregation by dilated convolutions F Yu, V Koltun International Conference on Learning Representations (ICLR), 2016 | 5665 | 2016 |
| 3d shapenets: A deep representation for volumetric shapes Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 3106 | 2015 |
| Shapenet: An information-rich 3d model repository AX Chang, T Funkhouser, L Guibas, P Hanrahan, Q Huang, Z Li, ... arXiv preprint arXiv:1512.03012, 2015 | 2259 | 2015 |
| Dilated Residual Networks F Yu, V Koltun, T Funkhouser The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 1003 | 2017 |
| BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning F Yu, H Chen, X Wang, W Xian, Y Chen, F Liu, V Madhavan, T Darrell The IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 897* | 2020 |
| 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 | 874 | 2015 |
| Semantic scene completion from a single depth image S Song, F Yu, A Zeng, AX Chang, M Savva, T Funkhouser Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 785 | 2017 |
| End-to-end learning of driving models from large-scale video datasets H Xu, Y Gao, F Yu, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 616 | 2017 |
| Deep Layer Aggregation F Yu, D Wang, E Shelhamer, T Darrell The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 586 | 2018 |
| Fcns in the wild: Pixel-level adversarial and constraint-based adaptation J Hoffman, D Wang, F Yu, T Darrell arXiv preprint arXiv:1612.02649, 2016 | 449 | 2016 |
| Scribbler: Controlling deep image synthesis with sketch and color P Sangkloy, J Lu, C Fang, F Yu, J Hays Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 379 | 2017 |
| Skipnet: Learning dynamic routing in convolutional networks X Wang, F Yu, ZY Dou, T Darrell, JE Gonzalez Proceedings of the European Conference on Computer Vision (ECCV), 409-424, 2018 | 286 | 2018 |
| Few-shot object detection via feature reweighting B Kang, Z Liu, X Wang, F Yu, J Feng, T Darrell Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 189 | 2019 |
| Texturegan: Controlling deep image synthesis with texture patches W Xian, P Sangkloy, J Lu, C Fang, F Yu, J Hays The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 188 | 2018 |
| Pairedcyclegan: Asymmetric style transfer for applying and removing makeup H Chang, J Lu, F Yu, A Finkelstein Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 180 | 2018 |
| Reinforcement learning from imperfect demonstrations Y Gao, H Xu, J Lin, F Yu, S Levine, T Darrell arXiv preprint arXiv:1802.05313, 2018 | 146 | 2018 |
| SHREC’16 Track Large-Scale 3D Shape Retrieval from ShapeNet Core55 M Savva, F Yu, H Su, M Aono, B Chen, D Cohen-Or, W Deng, H Su, S Bai, ... | 123 | 2016 |
| Hierarchical Discrete Distribution Decomposition for Match Density Estimation Z Yin, T Darrell, F Yu Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 118 | 2019 |
| Joint monocular 3D vehicle detection and tracking HN Hu, QZ Cai, D Wang, J Lin, M Sun, P Krahenbuhl, T Darrell, F Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 91 | 2019 |
| 3D Reconstruction from Accidental Motion F Yu, D Gallup The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 | 83 | 2014 |
