Publications

2024

  1. NeurIPS
    DiffuBox: Refining 3D Object Detection with Point Diffusion
    Xiangyu ChenZhenzhen LiuKatie Z. Luo, Siddhartha Datta, Adhitya Polavaram, Yan WangYurong YouBoyi LiMarco PavoneWei-Lun ChaoMark E. CampbellBharath Hariharan, and Kilian Q. Weinberger
    In the Conference on Neural Information Processing Systems (NeurIPS), Dec 2024
  2. ICLR
    Pre-training LiDAR-based 3D Object Detectors through Colorization
    Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng PhooKatie Z LuoYurong YouMark CampbellKilian Q WeinbergerBharath Hariharan, and Wei-Lun Chao
    In the International Conference on Learning Representations (ICLR), Jun 2024
  3. ICRA
    Better Monocular 3D Detectors with LiDAR from the Past
    In 2024 IEEE International Conference on Robotics and Automation (ICRA), Apr 2024

2023

  1. NeurIPS
    Teaching Cars to See in a Day: Unsupervised Object Discovery with Reward Fine-tuning
    In the Conference on Neural Information Processing Systems (NeurIPS), Dec 2023

2022

  1. NeurIPS
    Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
    In the Conference on Neural Information Processing Systems (NeurIPS), Dec 2022
  2. CVPR
    Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions
    Carlos Andres Diaz-RuizYouya XiaYurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu ChenKatie Z LuoYan Wang, Marc Emond, Wei-Lun ChaoBharath HariharanKilian Q. Weinberger, and Mark Campbell
    In the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022
  3. CVPR
    Learning to Detect Mobile Objects from LiDAR Scans Without Labels
    In the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022
  4. ICRA
    Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection
    In the IEEE International Conference on Robotics and Automation (ICRA), May 2022
  5. ICRA
    Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking
    Longlong JingRuichi YuHenrik Kretzschmar, Kang Li, Ruizhongtai QiHang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei LiYurong You, Han Deng, Congcong Li, and Dragomir Anguelov
    In the IEEE International Conference on Robotics and Automation (ICRA), May 2022
  6. ICLR
    R4D: Utilizing Reference Objects for Long-Range Distance Estimation
    Yingwei Li, Tiffany Chen, Maya Kabkab, Ruichi YuLonglong JingYurong You, and Hang Zhao
    In International Conference on Learning Representations, Apr 2022
  7. ICLR
    Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
    In the International Conference on Learning Representations (ICLR), Apr 2022

2020

  1. CVPR
    End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
    In the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2020
  2. CVPR
    Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
    In the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2020
  3. ICLR
    Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
    In the International Conference on Learning Representations (ICLR), Apr 2020

2019

  1. ICML
    Simple Black-box Adversarial Attacks
    Chuan Guo, Jacob Gardner, Yurong You, Andrew Gordon Wilson, and Kilian Q. Weinberger
    In the International Conference on Machine Learning (ICML), Apr 2019

2018

  1. CVPR
    Resource Aware Person Re-Identification Across Multiple Resolutions
    Yan Wang*Lequn Wang*Yurong You*, Xu Zou, Vincent Chen, Serena Li, Gao HuangBharath Hariharan, and Kilian Q. Weinberger
    In the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2018

2017

  1. BMVC
    Virtual to Real Reinforcement Learning for Autonomous Driving
    Xinlei Pan*Yurong You*Ziyan Wang, and Cewu Lu
    In the British Machine Vision Conference (BMVC), Sep 2017