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Jun Gao
Jun Gao
University of Toronto, NVIDIA
Dirección de correo verificada de cs.toronto.edu - Página principal
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Citado por
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Año
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
5252018
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
3362019
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
2532019
Magic3d: High-resolution text-to-3d content creation
CH Lin, J Gao, L Tang, T Takikawa, X Zeng, X Huang, K Kreis, S Fidler, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2462023
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
2282021
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
1752018
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 35, 31841-31854, 2022
1642022
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
1522022
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
1242021
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
1152020
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
J Gao, W Chen, T Xiang, A Jacobson, M McGuire, S Fidler
NeurIPS 2020, 2020
672020
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
502021
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
372019
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
362021
Dropout training, data-dependent regularization, and generalization bounds
W Mou, Y Zhou, J Gao, L Wang
International conference on machine learning, 3645-3653, 2018
302018
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
232020
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
192020
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
112022
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
112020
Neural Fields meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes
Z Wang, T Shen, J Gao, S Huang, J Munkberg, J Hasselgren, Z Gojcic, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
102023
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