Full Publication List

* 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

In International Conference on Computer Vision (ICCV), Paris, France, 2023

[paper][arxiv]

* 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

To appear: In Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023

[paper][arxiv][video]

* 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 Guibas, Dragomir Anguelov

To appear: In Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023

[paper][arxiv]

* Waymo Open Dataset: Panoramic Video Panoptic Segmentation

Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov

In European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, 2022

[paper][arxiv][website][video][code]

* Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov

In European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, 2022

[paper][arxiv]

* Block-NeRF: Scalable Large Scene Neural View Synthesis

Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar

In Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, US, 2022 (Oral Presentation)

[paper][arxiv][project page][dataset]

* Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving

James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Uratsun

In Conference on Robot Learning (CoRL), London, UK, 2021

[paper][arxiv][video]

* GeoSim: Photorealistic Video Simulation with Geometry-Aware Composition for Self-Driving

Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Siva Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun

In Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, US, 2021 (Best Paper Candidate)

[paper][supp][arxiv][project page][video]

* S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling

Ze Yang, Shenlong Wang, Siva Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun

In Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, US, 2021

[paper][supp][arxiv][video]

* Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting

Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun

In International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 2021

[paper][arxiv][video]

* ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds

Kibok Lee, Zhuoyuan Chen, Xinchen Yan, Raquel Urtasun, Ersin Yumer

Technical Report [arxiv]

* PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions

Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas

In European Conference on Computer Vision (ECCV), Glasgow, UK, 2020

[paper][arxiv][project page][code]

* SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing

Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li

In European Conference on Computer Vision (ECCV), Glasgow, UK, 2020

[paper][arxiv][project page][code]

* 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

Technical Report [arxiv][project page][patent]

* Learning Hierarchical Semantic Image Manipulation through Structured Representations

Seunghoon Hong, Xinchen Yan, Thomas Huang, Honglak Lee 

In Advances in Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018

[paper][arxiv][project page][code]

* 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

In European Conference on Computer Vision (ECCV), Munich, Germany, 2018

[paper][supp][arxiv (full version)][project page][code]

* Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations

Xinchen Yan, Jasmine Hsu, Mohi Khansari, Yunfei Bai, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee

In Proceedings of International Conference on Robotics and Automation (ICRA), Brisbane, Australia, 2018

[paper][arxiv][project page][patent]

* Deep Variational Canonical Correlation Analysis

Weiran Wang, Xinchen Yan, Honglak Lee, Karen Livescu

Technical Report [arxiv]

TensorFlow Implementation: [code]

* Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, Honglak Lee

In Advances in Neural Information Processing Systems (NeurIPS), Barcelona, Spain, 2016

[paper][arxiv (full version)][project page]

Torch Implementation: [data][code]

TensorFlow Implementation: [code]

Note, if you want to use your own camera matrix, please refer to the section " with your own camera" here.

* Generative Adversarial Text-to-Image Synthesis

Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee

In Proceedings of the 33rd International Conference on Machine Learning (ICML), New York, USA, 2016

[paper][supplementary material]

Torch Implementation: [code]

* Attribute2Image: Conditional Image Generation from Visual Attributes

Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee

In European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, 2016

[paper][arxiv][project page]

Torch Implementation: [code]

* Learning Structured Output Representation using Deep Conditional Generative Models

Kihyuk Sohn, Xinchen Yan, Honglak Lee

In Advances in Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2015. 

[paper][supplementary material][code]

* 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 Wrobel, Honglak Lee

In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, 2015. 

[paper] 

* Efficient Online Spatio-Temporal Filtering for Video Event Detection

Xinchen Yan, Junsong Yuan, Hui Liang, Liqing Zhang

In ECCV Workshop on Video Event Categorization, Tagging and Retrieval towards Big Data (VECTaR 2014), Zurich, Switzerland, 2014.

[paper][bib][slides]

C++/MATLAB Implementation: [code]