| Learning to Navigate for Fine-grained Classification Z Yang, T Luo, D Wang, Z Hu, G Jun, L Wang Proceedings of the European Conference on Computer Vision (ECCV), 2018 | 417 | 2018 |
| Learning to predict 3d objects with an interpolation-based differentiable renderer W Chen, J Gao, H Ling, E Smith, J Lehtinen, A Jacobson, S Fidler Advances in Neural Information Processing Systems 32, 9609-9619, 2019 | 261 | 2019 |
| Fast Interactive Object Annotation with Curve-GCN H Ling, J Gao, A Kar, W Chen, S Fidler Conference on Computer Vision and Pattern Recognition, 2019 | 197 | 2019 |
| Datasetgan: Efficient labeled data factory with minimal human effort Y Zhang, H Ling, J Gao, K Yin, JF Lafleche, A Barriuso, A Torralba, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 131 | 2021 |
| Representation Degeneration Problem in Training Natural Language Generation Models J Gao, D He, X Tan, T Qin, L Wang, T Liu International Conference on Learning Representations, 2018 | 108 | 2018 |
| Image gans meet differentiable rendering for inverse graphics and interpretable 3d neural rendering Y Zhang, W Chen, H Ling, J Gao, Y Zhang, A Torralba, S Fidler ICLR 2021, 2020 | 80 | 2020 |
| Extracting triangular 3d models, materials, and lighting from images J Munkberg, J Hasselgren, T Shen, J Gao, W Chen, A Evans, T Müller, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 45 | 2022 |
| Learning Deformable Tetrahedral Meshes for 3D Reconstruction J Gao, W Chen, T Xiang, A Jacobson, M McGuire, S Fidler NeurIPS 2020, 2020 | 44 | 2020 |
| Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis T Shen, J Gao, K Yin, MY Liu, S Fidler Advances in Neural Information Processing Systems 34, 6087-6101, 2021 | 35 | 2021 |
| Get3d: A generative model of high quality 3d textured shapes learned from images J Gao, T Shen, Z Wang, W Chen, K Yin, D Li, O Litany, Z Gojcic, S Fidler Advances In Neural Information Processing Systems, 2022 | 32 | 2022 |
| Deepspline: Data-driven reconstruction of parametric curves and surfaces J Gao, C Tang, V Ganapathi-Subramanian, J Huang, H Su, LJ Guibas arXiv preprint arXiv:1901.03781, 2019 | 29 | 2019 |
| Dropout training, data-dependent regularization, and generalization bounds W Mou, Y Zhou, J Gao, L Wang International conference on machine learning, 3645-3653, 2018 | 26 | 2018 |
| 3dstylenet: Creating 3d shapes with geometric and texture style variations K Yin, J Gao, M Shugrina, S Khamis, S Fidler Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 23 | 2021 |
| Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid J Gao, Z Wang, J Xuan, S Fidler ECCV 2020 European Conference on Computer Vision, 2020 | 20 | 2020 |
| DIB-R++: learning to predict lighting and material with a hybrid differentiable renderer W Chen, J Litalien, J Gao, Z Wang, C Fuji Tsang, S Khamis, O Litany, ... Advances in Neural Information Processing Systems 34, 22834-22848, 2021 | 16 | 2021 |
| ScribbleBox: Interactive Annotation Framework for Video Object Segmentation B Chen, H Ling, X Zeng, G Jun, Z Xu, S Fidler ECCV 2020 European Conference on Computer Vision, 2020 | 14 | 2020 |
| Magic3D: High-Resolution Text-to-3D Content Creation CH Lin, J Gao, L Tang, T Takikawa, X Zeng, X Huang, K Kreis, S Fidler, ... arXiv preprint arXiv:2211.10440, 2022 | 10 | 2022 |
| Generating labels for synthetic images using one or more neural networks Y Zhang, H Ling, J Gao, W Chen, AT Barriuso, S Fidler US Patent App. 17/020,649, 2022 | 5 | 2022 |
| Interactive Annotation of 3D Object Geometry using 2D Scribbles T Shen, J Gao, A Kar, S Fidler ECCV 2020 European Conference on Computer Vision, 2020 | 5 | 2020 |
| Systems and methods for polygon object annotation and a method of training and object annotation system S Fidler, A Kar, H Ling, J Gao, W Chen, DJA Marrero US Patent 10,643,130, 2020 | 5 | 2020 |
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
