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Jun Gao 0004
Person information
- affiliation: University of Toronto, Canada
Other persons with the same name
- Jun Gao — disambiguation page
- Jun Gao 0001 — University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust, Esch-sur-Alzette, Luxembourg
- Jun Gao 0002 — Institute for Basic Science (IBS), Extremal Combinatorics and Probability Group, Daejeon, South Korea (and 1 more)
- Jun Gao 0003 — Peking University, Key Laboratory of High Confidence Software Technologies, Beijing, China
- Jun Gao 0005 — Naval University of Engineering, Wuhan, China
- Jun Gao 0006 — Hefei University of Technology, Hefei, China
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2020 – today
- 2024
- [c21]Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. ECCV (77) 2024: 305-322 - [c20]Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis:
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space. ICLR 2024 - [c19]Tianchang Shen, Zhaoshuo Li, Marc T. Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp:
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes. SIGGRAPH Asia 2024: 78:1-78:11 - [i23]Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. CoRR abs/2403.15385 (2024) - [i22]Tianchang Shen, Zhaoshuo Li, Marc T. Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp:
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes. CoRR abs/2409.20562 (2024) - 2023
- [j2]Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao:
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization. ACM Trans. Graph. 42(4): 37:1-37:16 (2023) - [j1]Zian Wang, Tianchang Shen, Merlin Nimier-David, Nicholas Sharp, Jun Gao, Alexander Keller, Sanja Fidler, Thomas Müller, Zan Gojcic:
Adaptive Shells for Efficient Neural Radiance Field Rendering. ACM Trans. Graph. 42(6): 260:1-260:15 (2023) - [c18]Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin:
Magic3D: High-Resolution Text-to-3D Content Creation. CVPR 2023: 300-309 - [c17]Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler:
Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes. CVPR 2023: 8370-8380 - [i21]Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler:
Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes. CoRR abs/2304.03266 (2023) - [i20]Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao:
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization. CoRR abs/2308.05371 (2023) - [i19]Zian Wang, Tianchang Shen, Merlin Nimier-David, Nicholas Sharp, Jun Gao, Alexander Keller, Sanja Fidler, Thomas Müller, Zan Gojcic:
Adaptive Shells for Efficient Neural Radiance Field Rendering. CoRR abs/2311.10091 (2023) - [i18]Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis:
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space. CoRR abs/2311.13570 (2023) - 2022
- [c16]Jacob Munkberg, Wenzheng Chen, Jon Hasselgren, Alex Evans, Tianchang Shen, Thomas Müller, Jun Gao, Sanja Fidler:
Extracting Triangular 3D Models, Materials, and Lighting From Images. CVPR 2022: 8270-8280 - [c15]Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler:
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. NeurIPS 2022 - [i17]Gary Leung, Jun Gao, Xiaohui Zeng, Sanja Fidler:
Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention. CoRR abs/2207.02126 (2022) - [i16]Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler:
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. CoRR abs/2209.11163 (2022) - [i15]Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin:
Magic3D: High-Resolution Text-to-3D Content Creation. CoRR abs/2211.10440 (2022) - 2021
- [c14]Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler:
DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort. CVPR 2021: 10145-10155 - [c13]Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler:
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations. ICCV 2021: 12436-12445 - [c12]Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler:
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering. ICLR 2021 - [c11]Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler:
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. NeurIPS 2021: 6087-6101 - [c10]Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler:
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. NeurIPS 2021: 22834-22848 - [i14]Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler:
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort. CoRR abs/2104.06490 (2021) - [i13]Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler:
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations. CoRR abs/2108.12958 (2021) - [i12]Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler:
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. CoRR abs/2111.00140 (2021) - [i11]Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler:
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. CoRR abs/2111.04276 (2021) - [i10]Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, Sanja Fidler:
Extracting Triangular 3D Models, Materials, and Lighting From Images. CoRR abs/2111.12503 (2021) - 2020
- [c9]Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler:
Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid. ECCV (9) 2020: 108-125 - [c8]Bowen Chen, Huan Ling, Xiaohui Zeng, Jun Gao, Ziyue Xu, Sanja Fidler:
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation. ECCV (13) 2020: 293-310 - [c7]Tianchang Shen, Jun Gao, Amlan Kar, Sanja Fidler:
Interactive Annotation of 3D Object Geometry Using 2D Scribbles. ECCV (17) 2020: 751-767 - [c6]Jun Gao, Wenzheng Chen, Tommy Xiang, Alec Jacobson, Morgan McGuire, Sanja Fidler:
Learning Deformable Tetrahedral Meshes for 3D Reconstruction. NeurIPS 2020 - [i9]Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler:
Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid. CoRR abs/2008.09269 (2020) - [i8]Tianchang Shen, Jun Gao, Amlan Kar, Sanja Fidler:
Interactive Annotation of 3D Object Geometry using 2D Scribbles. CoRR abs/2008.10719 (2020) - [i7]Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler:
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering. CoRR abs/2010.09125 (2020) - [i6]Jun Gao, Wenzheng Chen, Tommy Xiang, Clement Fuji Tsang, Alec Jacobson, Morgan McGuire, Sanja Fidler:
Learning Deformable Tetrahedral Meshes for 3D Reconstruction. CoRR abs/2011.01437 (2020)
2010 – 2019
- 2019
- [c5]Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler:
Fast Interactive Object Annotation With Curve-GCN. CVPR 2019: 5257-5266 - [c4]Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
Representation Degeneration Problem in Training Natural Language Generation Models. ICLR (Poster) 2019 - [c3]Wenzheng Chen, Huan Ling, Jun Gao, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler:
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. NeurIPS 2019: 9605-9616 - [i5]Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler:
Fast Interactive Object Annotation with Curve-GCN. CoRR abs/1903.06874 (2019) - [i4]Jun Gao, Xiao Li, Liwei Wang, Sanja Fidler, Stephen Lin:
Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing. CoRR abs/1903.11248 (2019) - [i3]Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
Representation Degeneration Problem in Training Natural Language Generation Models. CoRR abs/1907.12009 (2019) - [i2]Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler:
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. CoRR abs/1908.01210 (2019) - 2018
- [c2]Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang:
Learning to Navigate for Fine-Grained Classification. ECCV (14) 2018: 438-454 - [c1]Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang:
Dropout Training, Data-dependent Regularization, and Generalization Bounds. ICML 2018: 3642-3650 - [i1]Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang:
Learning to Navigate for Fine-grained Classification. CoRR abs/1809.00287 (2018)
Coauthor Index
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last updated on 2024-12-10 20:51 CET by the dblp team
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