Xinchen Yan

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 37

Top Topics

Structured Representations

Event Detection

Autonomous Driving

Top Venues

Publications

Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CVPR (2023)
Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CVPR (2023)
Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. ICCV (2023)
Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. CoRR (2023)
Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CoRR (2023)
Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. ECCV (38) (2022)
Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, Henrik Kretzschmar
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. ECCV (24) (2022)
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
Block-NeRF: Scalable Large Scene Neural View Synthesis. CoRR (2022)
Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. CoRR (2022)
Congyue Deng, Chiyu "Max" Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CoRR (2022)
Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. CoRR (2022)
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben P. Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
Block-NeRF: Scalable Large Scene Neural View Synthesis. CVPR (2022)
Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. CVPR (2021)
Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. CVPR (2021)
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. CoRL (2021)
Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
Safety-Oriented Pedestrian Occupancy Forecasting. IROS (2021)
Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun
GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition. CoRR (2021)
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving. CoRR (2021)
Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. CoRR (2021)
Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. CoRR (2021)
Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li
SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing. ECCV (14) (2020)
Kibok Lee, Zhuoyuan Chen, Xinchen Yan, Raquel Urtasun, Ersin Yumer
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds. CoRR (2020)
Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. ECCV (6) (2020)
Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. CoRR (2020)
Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing. CoRR (2019)
Xinchen Yan, Mohi Khansari, Jasmine Hsu, Yuanzheng Gong, Yunfei Bai, Sören Pirk, Honglak Lee
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks. CoRR (2019)
Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, Honglak Lee
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics. ECCV (5) (2018)
Xinchen Yan, Jasmine Hsu, Mohammad Khansari, Yunfei Bai, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee
Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations. ICRA (2018)
Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, Honglak Lee
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics. CoRR (2018)
Seunghoon Hong, Xinchen Yan, Thomas E. Huang, Honglak Lee
Learning Hierarchical Semantic Image Manipulation through Structured Representations. CoRR (2018)
Seunghoon Hong, Xinchen Yan, Thomas E. Huang, Honglak Lee
Learning Hierarchical Semantic Image Manipulation through Structured Representations. NeurIPS (2018)
Xinchen Yan, Mohi Khansari, Yunfei Bai, Jasmine Hsu, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee
Learning Grasping Interaction with Geometry-aware 3D Representations. CoRR (2017)
Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee
Generative Adversarial Text to Image Synthesis. ICML (2016)
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, Honglak Lee
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision. NIPS (2016)
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, Honglak Lee
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision. CoRR (2016)
Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee
Generative Adversarial Text to Image Synthesis. CoRR (2016)
Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee
Attribute2Image: Conditional Image Generation from Visual Attributes. ECCV (4) (2016)
Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee
Attribute2Image: Conditional Image Generation from Visual Attributes. CoRR (2015)
Kihyuk Sohn, Honglak Lee, Xinchen Yan
Learning Structured Output Representation using Deep Conditional Generative Models. NIPS (2015)
Changhan Wang, Xinchen Yan, Max Smith, Kanika Kochhar, Marcie Rubin, Stephen M. Warren, James S. Wrobel, Honglak Lee
A unified framework for automatic wound segmentation and analysis with deep convolutional neural networks. EMBC (2015)
Xinchen Yan, Junsong Yuan, Hui Liang
Efficient Online Spatio-Temporal Filtering for Video Event Detection. ECCV Workshops (1) (2014)