Publications

2023

1. CVPR

   FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization

   Jiawei Yang, Marco Pavone, and Yue Wang

   In The Conference on Computer Vision and Pattern Recognition 2023

   Bib PDF Code Website

   @inproceedings{yang2023freenerf,
     title = {FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization},
     author = {Yang, Jiawei and Pavone, Marco and Wang, Yue},
     year = {2023},
     booktitle = {The Conference on Computer Vision and Pattern Recognition},
   }

2. CVPR

   GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training

   Xiaoyu Tian, Haoxi Ran, Yue Wang, and Hang Zhao

   In The Conference on Computer Vision and Pattern Recognition 2023

   Bib PDF

   @inproceedings{tian2023geomae,
     title = {GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training},
     author = {Tian, Xiaoyu and Ran, Haoxi and Wang, Yue and Zhao, Hang},
     year = {2023},
     booktitle = {The Conference on Computer Vision and Pattern Recognition},
   }

3. CVPR

   Vip3d: End-to-End Visual Trajectory Prediction via 3D Agent Queries

   Junru Gu, Chenxu Hu, Tianyuan Zhang, Xuanyao Chen, Yilun Wang, Yue Wang, and Hang Zhao

   In The Conference on Computer Vision and Pattern Recognition 2023

   Bib PDF Code Website

   @inproceedings{gu2023vip3d,
     title = {Vip3d: End-to-End Visual Trajectory Prediction via 3D Agent Queries},
     author = {Gu, Junru and Hu, Chenxu and Zhang, Tianyuan and Chen, Xuanyao and Wang, Yilun and Wang, Yue and Zhao, Hang},
     year = {2023},
     booktitle = {The Conference on Computer Vision and Pattern Recognition},
   }

4. CVPR

   Neural Map Prior for Autonomous Driving

   Xuan Xiong, Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, and Hang Zhao

   In The Conference on Computer Vision and Pattern Recognition 2023

   Bib PDF Website

   @inproceedings{xiong2023nmp,
     title = {Neural Map Prior for Autonomous Driving},
     author = {Xiong, Xuan and Liu, Yicheng and Yuan, Tianyuan and Wang, Yue and Wang, Yilun and Zhao, Hang},
     year = {2023},
     booktitle = {The Conference on Computer Vision and Pattern Recognition},
   }

5. ICML

   VectorMapNet: End-to-End Vectorized HD Map Learning

   Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, and Hang Zhao

   In International Conference on Machine Learning 2023

   Bib PDF Code Website

   @inproceedings{liu2023vectormapnet,
     title = {VectorMapNet: End-to-End Vectorized HD Map Learning},
     author = {Liu, Yicheng and Yuan, Tianyuan and Wang, Yue and Wang, Yilun and Zhao, Hang},
     year = {2023},
     booktitle = {International Conference on Machine Learning},
   }

2022

1. CORL

   Representation Learning for Object Detection from Unlabeled Point Cloud Sequences

   Xiangru Huang, Yue Wang, Vitor Campagnolo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, and Justin Solomon

   In The Conference on Robot Learning 2022

   Bib PDF

   @inproceedings{huang2022selfsup,
     title = {Representation Learning for Object Detection from Unlabeled Point Cloud Sequences},
     author = {Huang, Xiangru and Wang, Yue and Guizilini, Vitor Campagnolo and Ambrus, Rares Andrei and Gaidon, Adrien and Solomon, Justin},
     year = {2022},
     booktitle = {The Conference on Robot Learning},
   }

2. CORL

   Self-Supervised Collaborative Scene Completion: Towards Task-Agnostic Multi-Robot Perception

   Yiming Li, Juexiao Zhang, Dekun Ma, Yue Wang, and Chen Feng

   In The Conference on Robot Learning 2022

   Bib PDF

   @inproceedings{li2022scene,
     title = {Self-Supervised Collaborative Scene Completion: Towards Task-Agnostic Multi-Robot Perception},
     author = {Li, Yiming and Zhang, Juexiao and Ma, Dekun and Wang, Yue and Feng, Chen},
     year = {2022},
     booktitle = {The Conference on Robot Learning},
   }

3. ICRA

   HDMapNet: An Online HD Map Construction and Evaluation Framework

   Qi Li*, Yue Wang*, Yilun Wang, and Hang Zhao

   In International Conference on Robotics and Automation 2022

   Bib PDF Code

   @inproceedings{li2022hdmapnet,
     title = {HDMapNet: An Online HD Map Construction and Evaluation Framework},
     author = {Li*, Qi and Wang*, Yue and Wang, Yilun and Zhao, Hang},
     year = {2022},
     booktitle = {International Conference on Robotics and Automation},
   }

2021

1. NeurIPS

   Object DGCNN: 3D Object Detection using Dynamic Graphs

   Yue Wang, and Justin M. Solomon

   In Conference on Neural Information Processing Systems 2021

   Bib PDF Code

   @inproceedings{obj-dgcnn,
     title = {Object DGCNN: 3D Object Detection using Dynamic Graphs},
     author = {Wang, Yue and Solomon, Justin M.},
     booktitle = {Conference on Neural Information Processing Systems},
     year = {2021},
   }

2. CORL

   DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

   Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, and Justin M. Solomon

   In The Conference on Robot Learning 2021

   Bib PDF Code

   @inproceedings{detr3d,
     title = {DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries},
     author = {Wang, Yue and Guizilini, Vitor and Zhang, Tianyuan and Wang, Yilun and Zhao, Hang and and Solomon, Justin M.},
     booktitle = {The Conference on Robot Learning},
     year = {2021},
   }

3. ICCV

   On Feature Decorrelation in Self-Supervised Learning

   Tianyu Hua, Wenxiao Wang, Zihui Xue, Yue Wang, Sucheng Ren, and Hang Zhao

   In The International Conference on Computer Vision 2021

   Bib PDF Code

   @inproceedings{hua2021feature,
     title = {On Feature Decorrelation in Self-Supervised Learning},
     author = {Hua, Tianyu and Wang, Wenxiao and Xue, Zihui and Wang, Yue and Ren, Sucheng and Zhao, Hang},
     booktitle = {The International Conference on Computer Vision},
     year = {2021},
   }

4. IROS

   A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM

   Jiahui Fu, Qiangqiang Huang, Kevin Doherty, Yue Wang, and John J. Leonard

   In International Conference on Intelligent Robots and Systems 2021

   Bib PDF

   @inproceedings{fu21iros,
     title = {A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM},
     author = {Fu, Jiahui and Huang, Qiangqiang and Doherty, Kevin and Wang, Yue and Leonard, John J.},
     booktitle = {International Conference on Intelligent Robots and Systems},
     year = {2021},
     organization = {IEEE},
   }

5. ICCV workshop

   Few-Shot Learning With Online Self-Distillation

   Sihan Liu, and Yue Wang

   In Visual Inductive Priors for Data-Efficient Deep Learning Workshop at The International Conference on Computer Vision Oct 2021

   Bib PDF

   @inproceedings{Liu_2021_ICCV,
     author = {Liu, Sihan and Wang, Yue},
     title = {Few-Shot Learning With Online Self-Distillation},
     booktitle = {Visual Inductive Priors for Data-Efficient Deep Learning Workshop at The International Conference on Computer Vision},
     month = oct,
     year = {2021},
     pages = {1067-1070},
   }

6. AJ

   Active Optical Control with Machine Learning: A Proof of Concept for the Vera C. Rubin Observatory

   Jun E. Yin, Daniel J. Eisenstein, Douglas P. Finkbeiner, Christopher W. Stubbs, and Yue Wang

   The Astronomical Journal Oct 2021

   Bib PDF

   @article{yin2021,
     title = {Active Optical Control with Machine Learning: A Proof of Concept for the Vera C. Rubin Observatory},
     author = {Yin, Jun E. and Eisenstein, Daniel J. and Finkbeiner, Douglas P. and Stubbs, Christopher W. and Wang, Yue},
     journal = {The Astronomical Journal},
     year = {2021},
   }

2020

1. ECCV

   Rethinking few-shot image classification: a good embedding is all you need?

   Yonglong Tian*, Yue Wang*, Dilip Krishnan, Joshua B Tenenbaum, and Phillip Isola

   In The European Conference on Computer Vision Oct 2020

   Bib PDF Code

   @inproceedings{tian2020rethink,
     title = {Rethinking few-shot image classification: a good embedding is all you need?},
     author = {Tian*, Yonglong and Wang*, Yue and Krishnan, Dilip and Tenenbaum, Joshua B and Isola, Phillip},
     booktitle = {The European Conference on Computer Vision},
     year = {2020},
   }

2. ECCV

   Pillar-based Object Detection for Autonomous Driving

   Yue Wang, Alireza Fathi, Abhijit Kundu, David Ross, Caroline Pantofaru, Thomas Funkhouser, and Justin Solomon

   In The European Conference on Computer Vision Oct 2020

   Bib PDF Code

   @inproceedings{wang2020pillar,
     title = {Pillar-based Object Detection for Autonomous Driving},
     author = {Wang, Yue and Fathi, Alireza and Kundu, Abhijit and Ross, David and Pantofaru, Caroline and Funkhouser, Thomas and Solomon, Justin},
     booktitle = {The European Conference on Computer Vision},
     year = {2020},
   }

3. ECCV workshop

   Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection

   Yue Wang, Alireza Fathi, Jiajun Wu, Thomas Funkhouser, and Justin Solomon

   In The Workshop on Perception for Autonomous Driving at The European Conference on Computer Vision Oct 2020

   Bib PDF

   @inproceedings{wang2020pad,
     title = {Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection},
     author = {Wang, Yue and Fathi, Alireza and Wu, Jiajun and Funkhouser, Thomas and Solomon, Justin},
     booktitle = {The Workshop on Perception for Autonomous Driving at The European Conference on Computer Vision},
     year = {2020},
   }

4. WACV

   Pointgrow: Autoregressively Learned Point Cloud Generation with Self-attention

   Yongbin Sun, Yue Wang, Ziwei Liu, Joshua E. Siegel, and Sanjay E. Sarma

   In Winter Conference On Applications of Computer Vision Oct 2020

   Bib PDF Code

   @inproceedings{sun2020,
     title = {Pointgrow: Autoregressively Learned Point Cloud Generation with Self-attention},
     author = {Sun, Yongbin and Wang, Yue and Liu, Ziwei and Siegel, Joshua E. and Sarma, Sanjay E.},
     booktitle = {Winter Conference On Applications of Computer Vision},
     year = {2020},
   }

2019

1. NeurIPS

   PRNet: Self-Supervised Learning for Partial-to-Partial Registration

   Yue Wang, and Justin M. Solomon

   In Conference on Neural Information Processing Systems Oct 2019

   Bib PDF Code

   @inproceedings{Wang2019PRNet,
     title = {PRNet: Self-Supervised Learning for Partial-to-Partial Registration},
     author = {Wang, Yue and Solomon, Justin M.},
     booktitle = {Conference on Neural Information Processing Systems},
     year = {2019},
   }

2. ICCV

   Deep Closest Point: Learning Representations for Point Cloud Registration

   Yue Wang, and Justin M. Solomon

   In The International Conference on Computer Vision Oct 2019

   Bib PDF Code

   @inproceedings{Wang2019DeepCP,
     title = {Deep Closest Point: Learning Representations for Point Cloud Registration},
     author = {Wang, Yue and Solomon, Justin M.},
     booktitle = {The International Conference on Computer Vision},
     year = {2019},
   }

3. TOG

   Dynamic Graph CNN for Learning on Point Clouds

   Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, and Justin M. Solomon

   ACM Transactions on Graphics Oct 2019

   Bib PDF Code

   @article{Wang2018DynamicGC,
     title = {Dynamic Graph CNN for Learning on Point Clouds},
     author = {Wang, Yue and Sun, Yongbin and Liu, Ziwei and Sarma, Sanjay E. and Bronstein, Michael M. and Solomon, Justin M.},
     journal = {ACM Transactions on Graphics},
     year = {2019},
     volume = {38},
     issue = {5},
     page = {146},
   }

2018

1. ArXiv

   Im2Avatar: Colorful 3D Reconstruction from a Single Image

   Yongbin Sun, Ziwei Liu, Yue Wang, and Sanjay E. Sarma

   ArXiv Oct 2018

   Bib PDF Code

   @article{Sun2018Im2AvatarC3,
     title = {Im2Avatar: Colorful 3D Reconstruction from a Single Image},
     author = {Sun, Yongbin and Liu, Ziwei and Wang, Yue and Sarma, Sanjay E.},
     journal = {ArXiv},
     year = {2018},
     volume = {abs/1804.06375},
   }