Learning to Navigate for Fine-Grained Classification. - Ze Yang 003; Tiange Luo; Dong Wang; Zhiqiang Hu; Jun Gao 004; Liwei Wang 001 (ECCV (14), 2018)

Dropout Training, Data-dependent Regularization, and Generalization Bounds. - Wenlong Mou; Yuchen Zhou; Jun Gao 004; Liwei Wang 001 (ICML, 2018)

Fast Interactive Object Annotation With Curve-GCN. - Huan Ling; Jun Gao 004; Amlan Kar; Wenzheng Chen; Sanja Fidler (CVPR, 2019)

Representation Degeneration Problem in Training Natural Language Generation Models. - Jun Gao 004; Di He 001; Xu Tan 003; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (ICLR (Poster), 2019)

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. - Wenzheng Chen; Huan Ling; Jun Gao 004; Edward J. Smith; Jaakko Lehtinen; Alec Jacobson; Sanja Fidler (NeurIPS, 2019)

Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing. - Jun Gao 004; Xiao Li; Liwei Wang 001; Sanja Fidler; Stephen Lin 001 (CoRR, 2019)

ScribbleBox: Interactive Annotation Framework for Video Object Segmentation. - Bowen Chen; Huan Ling; Xiaohui Zeng; Jun Gao 004; Ziyue Xu; Sanja Fidler (ECCV (13), 2020)

Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid. - Jun Gao 004; Zian Wang; Jinchen Xuan; Sanja Fidler (ECCV (9), 2020)

Interactive Annotation of 3D Object Geometry Using 2D Scribbles. - Tianchang Shen; Jun Gao 004; Amlan Kar; Sanja Fidler (ECCV (17), 2020)

Learning Deformable Tetrahedral Meshes for 3D Reconstruction. - Jun Gao 004; Wenzheng Chen; Tommy Xiang; Alec Jacobson; Morgan McGuire; Sanja Fidler (NeurIPS, 2020)

Learning Deformable Tetrahedral Meshes for 3D Reconstruction. - Jun Gao 004; Wenzheng Chen; Tommy Xiang; Clement Fuji Tsang; Alec Jacobson; Morgan McGuire; Sanja Fidler (CoRR, 2020)

DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort. - Yuxuan Zhang 001; Huan Ling; Jun Gao 004; Kangxue Yin; Jean-Francois Lafleche; Adela Barriuso; Antonio Torralba 001; Sanja Fidler (CVPR, 2021)

3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations. - Kangxue Yin; Jun Gao 004; Maria Shugrina; Sameh Khamis; Sanja Fidler (ICCV, 2021)

Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering. - Yuxuan Zhang 001; Wenzheng Chen; Huan Ling; Jun Gao 004; Yinan Zhang; Antonio Torralba 001; Sanja Fidler (ICLR, 2021)

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. - Wenzheng Chen; Joey Litalien; Jun Gao 004; Zian Wang; Clement Fuji Tsang; Sameh Khamis; Or Litany; Sanja Fidler (NeurIPS, 2021)

Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. - Tianchang Shen; Jun Gao 004; Kangxue Yin; Ming-Yu Liu 001; Sanja Fidler (NeurIPS, 2021)

Extracting Triangular 3D Models, Materials, and Lighting From Images. - Jacob Munkberg; Wenzheng Chen; Jon Hasselgren; Alex Evans; Tianchang Shen; Thomas Müller 013; Jun Gao 004; Sanja Fidler (CVPR, 2022)

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. - Jun Gao 004; Tianchang Shen; Zian Wang; Wenzheng Chen; Kangxue Yin; Daiqing Li; Or Litany; Zan Gojcic; Sanja Fidler (NeurIPS, 2022)

Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention. - Gary Leung; Jun Gao 004; Xiaohui Zeng; Sanja Fidler (CoRR, 2022)

Magic3D: High-Resolution Text-to-3D Content Creation. - Chen-Hsuan Lin 001; Jun Gao 004; Luming Tang; Towaki Takikawa; Xiaohui Zeng; Xun Huang; Karsten Kreis; Sanja Fidler; Ming-Yu Liu 001; Tsung-Yi Lin (CVPR, 2023)

Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes. - Zian Wang; Tianchang Shen; Jun Gao 004; Shengyu Huang; Jacob Munkberg; Jon Hasselgren; Zan Gojcic; Wenzheng Chen; Sanja Fidler (CVPR, 2023)

Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes. - Zian Wang; Tianchang Shen; Jun Gao 004; Shengyu Huang; Jacob Munkberg; Jon Hasselgren; Zan Gojcic; Wenzheng Chen; Sanja Fidler (CoRR, 2023)

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization. - Tianchang Shen; Jacob Munkberg; Jon Hasselgren; Kangxue Yin; Zian Wang; Wenzheng Chen; Zan Gojcic; Sanja Fidler; Nicholas Sharp; Jun Gao 004 (ACM Trans. Graph., 2023)

Adaptive Shells for Efficient Neural Radiance Field Rendering. - Zian Wang; Tianchang Shen; Merlin Nimier-David; Nicholas Sharp; Jun Gao 004; Alexander Keller 001; Sanja Fidler; Thomas Müller 013; Zan Gojcic (ACM Trans. Graph., 2023)

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. - Kevin Xie; Jonathan Lorraine; Tianshi Cao; Jun Gao 004; James Lucas; Antonio Torralba 001; Sanja Fidler; Xiaohui Zeng (ECCV (77), 2024)

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space. - Katja Schwarz; Seung Wook Kim 001; Jun Gao 004; Sanja Fidler; Andreas Geiger 001; Karsten Kreis (ICLR, 2024)

SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes. - Tianchang Shen; Zhaoshuo Li; Marc T. Law; Matan Atzmon; Sanja Fidler; James Lucas; Jun Gao 004; Nicholas Sharp (SIGGRAPH Asia, 2024)

InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models. - Yifan Lu; Xuanchi Ren; Jiawei Yang 002; Tianchang Shen; Zhangjie Wu; Jun Gao 004; Yue Wang 041; Siheng Chen; Mike Chen; Sanja Fidler; Jiahui Huang (CoRR, 2024)

Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models. - Ruofan Liang; Zan Gojcic; Huan Ling; Jacob Munkberg; Jon Hasselgren; Chih-Hao Lin; Jun Gao 004; Alexander Keller 001; Nandita Vijaykumar; Sanja Fidler; Zian Wang (CVPR, 2025)

GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control. - Xuanchi Ren; Tianchang Shen; Jiahui Huang; Huan Ling; Yifan Lu; Merlin Nimier-David; Thomas Müller 013; Alexander Keller 001; Sanja Fidler; Jun Gao 004 (CVPR, 2025)

DIFIX3D+: Improving 3D Reconstructions with Single-Step Diffusion Models. - Jay Zhangjie Wu; Yuxuan Zhang 001; Haithem Turki; Xuanchi Ren; Jun Gao 004; Mike Zheng Shou; Sanja Fidler; Zan Gojcic; Huan Ling (CVPR, 2025)

DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models. - Ruofan Liang; Zan Gojcic; Huan Ling; Jacob Munkberg; Jon Hasselgren; Zhi-Hao Lin; Jun Gao 004; Alexander Keller 001; Nandita Vijaykumar; Sanja Fidler; Zian Wang (CoRR, 2025)

PARTFIELD: Learning 3D Feature Fields for Part Segmentation and Beyond. - Ming-Yu Liu 001; Mikaela Angelina Uy; Donglai Xiang; Hao Su; Sanja Fidler; Nicholas Sharp; Jun Gao 004 (CoRR, 2025)

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models. - Xuanchi Ren; Yifan Lu; Tianshi Cao; Ruiyuan Gao 003; Shengyu Huang; Amirmojtaba Sabour; Tianchang Shen; Tobias Pfaff; Jay Zhangjie Wu; Runjian Chen; Seung Wook Kim 001; Jun Gao 004; et al. (CoRR, 2025)

ViPE: Video Pose Engine for 3D Geometric Perception. - Jiahui Huang; Qunjie Zhou; Hesam Rabeti; Aleksandr Korovko; Huan Ling; Xuanchi Ren; Tianchang Shen; Jun Gao 004; Dmitry Slepichev; Chen-Hsuan Lin 001; Jiawei Ren 001; Kevin Xie; et al. (CoRR, 2025)