Efficient Online Spatio-Temporal Filtering for Video Event Detection. - Xinchen Yan; Junsong Yuan 001; Hui Liang 003 (ECCV Workshops (1), 2014)

A unified framework for automatic wound segmentation and analysis with deep convolutional neural networks. - Changhan Wang; Xinchen Yan; Max Smith; Kanika Kochhar; Marcie Rubin; Stephen M. Warren; James S. Wrobel; Honglak Lee (EMBC, 2015)

Learning Structured Output Representation using Deep Conditional Generative Models. - Kihyuk Sohn; Honglak Lee; Xinchen Yan (NIPS, 2015)

Attribute2Image: Conditional Image Generation from Visual Attributes. - Xinchen Yan; Jimei Yang; Kihyuk Sohn; Honglak Lee (ECCV (4), 2016)

Generative Adversarial Text to Image Synthesis. - Scott E. Reed; Zeynep Akata; Xinchen Yan; Lajanugen Logeswaran; Bernt Schiele; Honglak Lee (ICML, 2016)

Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision. - Xinchen Yan; Jimei Yang; Ersin Yumer; Yijie Guo; Honglak Lee (NIPS, 2016)

Learning Grasping Interaction with Geometry-aware 3D Representations. - Xinchen Yan; Mohi Khansari; Yunfei Bai; Jasmine Hsu; Arkanath Pathak; Abhinav Gupta 001; James Davidson; Honglak Lee (CoRR, 2017)

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics. - Xinchen Yan; Akash Rastogi; Ruben Villegas; Kalyan Sunkavalli; Eli Shechtman; Sunil Hadap; Ersin Yumer; Honglak Lee (ECCV (5), 2018)

Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations. - Xinchen Yan; Jasmine Hsu; Mohammad Khansari 002; Yunfei Bai; Arkanath Pathak; Abhinav Gupta 001; James Davidson; Honglak Lee (ICRA, 2018)

Learning Hierarchical Semantic Image Manipulation through Structured Representations. - Seunghoon Hong; Xinchen Yan; Thomas E. Huang; Honglak Lee (NeurIPS, 2018)

SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing. - Haonan Qiu; Chaowei Xiao; Lei Yang; Xinchen Yan; Honglak Lee; Bo Li 026 (CoRR, 2019)

Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks. - Xinchen Yan; Mohi Khansari; Jasmine Hsu; Yuanzheng Gong; Yunfei Bai; Sören Pirk; Honglak Lee (CoRR, 2019)

Learning Deep Controllable and Structured Representations for Image Synthesis, Structure Prediction and Beyond. - Xinchen Yan (2019)

PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. - Kaichun Mo; He Wang 010; Xinchen Yan; Leonidas J. Guibas (ECCV (6), 2020)

SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing. - Haonan Qiu; Chaowei Xiao; Lei Yang; Xinchen Yan; Honglak Lee; Bo Li 026 (ECCV (14), 2020)

ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds. - Kibok Lee 003; Zhuoyuan Chen; Xinchen Yan; Raquel Urtasun; Ersin Yumer (CoRR, 2020)

Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. - James Tu; Huichen Li; Xinchen Yan; Mengye Ren; Yun Chen 014; Ming Liang; Eilyan Bitar; Ersin Yumer; Raquel Urtasun (CoRL, 2021)

GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. - Yun Chen 014; Frieda Rong; Shivam Duggal; Shenlong Wang; Xinchen Yan; Sivabalan Manivasagam; Shangjie Xue; Ersin Yumer; Raquel Urtasun (CVPR, 2021)

S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. - Ze Yang 003; Shenlong Wang; Sivabalan Manivasagam; Zeng Huang; Wei-Chiu Ma; Xinchen Yan; Ersin Yumer; Raquel Urtasun (CVPR, 2021)

Safety-Oriented Pedestrian Occupancy Forecasting. - Katie Luo; Sergio Casas 002; Renjie Liao; Xinchen Yan; Yuwen Xiong; Wenyuan Zeng; Raquel Urtasun (IROS, 2021)

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. - Katie Luo; Sergio Casas 002; Renjie Liao; Xinchen Yan; Yuwen Xiong; Wenyuan Zeng; Raquel Urtasun (CoRR, 2021)

GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition. - Yun Chen 014; Frieda Rong; Shivam Duggal; Shenlong Wang; Xinchen Yan; Sivabalan Manivasagam; Shangjie Xue; Ersin Yumer; Raquel Urtasun (CoRR, 2021)

Block-NeRF: Scalable Large Scene Neural View Synthesis. - Matthew Tancik; Vincent Casser; Xinchen Yan; Sabeek Pradhan; Ben P. Mildenhall; Pratul P. Srinivasan; Jonathan T. Barron; Henrik Kretzschmar (CVPR, 2022)

Waymo Open Dataset: Panoramic Video Panoptic Segmentation. - Jieru Mei; Alex Zihao Zhu; Xinchen Yan; Hang Yan 002; Siyuan Qiao; Liang-Chieh Chen; Henrik Kretzschmar (ECCV (29), 2022)

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. - Mahyar Najibi; Jingwei Ji; Yin Zhou; Charles R. Qi; Xinchen Yan; Scott Ettinger; Dragomir Anguelov (ECCV (38), 2022)

Waymo Open Dataset: Panoramic Video Panoptic Segmentation. - Jieru Mei; Alex Zihao Zhu; Xinchen Yan; Hang Yan 002; Siyuan Qiao; Yukun Zhu; Liang-Chieh Chen; Henrik Kretzschmar; Dragomir Anguelov (CoRR, 2022)

NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. - Congyue Deng; Chiyu Max Jiang; Charles R. Qi; Xinchen Yan; Yin Zhou; Leonidas J. Guibas; Dragomir Anguelov (CVPR, 2023)

GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. - Bokui Shen; Xinchen Yan; Charles R. Qi; Mahyar Najibi; Boyang Deng; Leonidas J. Guibas; Yin Zhou; Dragomir Anguelov (CVPR, 2023)

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. - Mahyar Najibi; Jingwei Ji; Yin Zhou; Charles R. Qi; Xinchen Yan; Scott Ettinger; Dragomir Anguelov (ICCV, 2023)

Orchid: Image Latent Diffusion for Joint Appearance and Geometry Generation. - Akshay Krishnan; Xinchen Yan; Vincent Casser; Abhijit Kundu (CoRR, 2025)