Please see my Google Scholar for a complete list.
2023
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A Language Agent for Autonomous Driving
Jiageng Mao*, Junjie Ye*, Yuxi Qian, Marco Pavone, and Yue Wang
2023
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LiNeRF: Rethinking Directional Integration in Neural Radiance Fields
Congyue Deng, Jiawei Yang, Leonidas Guibas, and Yue Wang
2023
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EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, and 3 more authors
In International Conference on Learning Representations 2023
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GPT-Driver: Learning to Drive with GPT
Jiageng Mao, Yuxi Qian, Hang Zhao, and Yue Wang
2023
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Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
Xiaoyu Tian, Tao Jiang, Longfei Yun, Yucheng Mao, Huitong Yang, Yue Wang, Yilun Wang, and Hang Zhao
In Conference on Neural Information Processing Systems 2023
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Cross-Dataset Sensor Alignment: Making Visual 3D Object Detector Generalizable
Liangtao Zheng, Yicheng Liu, Yue Wang, and Hang Zhao
In The Conference on Robot Learning 2023
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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
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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
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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
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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
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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
2022
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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
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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
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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
2021
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Object DGCNN: 3D Object Detection using Dynamic Graphs
Yue Wang, and Justin M. Solomon
In Conference on Neural Information Processing Systems 2021
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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
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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
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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
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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
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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
2020
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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
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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
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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
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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
2019
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PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang, and Justin M. Solomon
In Conference on Neural Information Processing Systems Oct 2019
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Deep Closest Point: Learning Representations for Point Cloud Registration
Yue Wang, and Justin M. Solomon
In The International Conference on Computer Vision Oct 2019
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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
2018
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Im2Avatar: Colorful 3D Reconstruction from a Single Image
Yongbin Sun, Ziwei Liu, Yue Wang, and Sanjay E. Sarma
ArXiv Oct 2018