@inproceedings{fan2024,title={Large Spatial Model: Real-time Unposed Images to Semantic 3D},author={Fan*, Zhiwen and Zhang*, Jian and Cong, Wenyan and Wang, Peihao and Li, Renjie and Wen, Kairun and Zhou, Shijie and Kadambi, Achuta and Wang, Zhangyang and Xu, Danfei and Ivanovic, Boris and Pavone, Marco and Wang, Yue},year={2024},booktitle={Conference on Neural Information Processing Systems},}
NeurIPS Spotlight
Memorize What Matters: Emergent Scene Decomposition from Multitraverse
Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, and Jose M. Alvarez
In Conference on Neural Information Processing Systems 2024
@inproceedings{li2024gm,title={Memorize What Matters: Emergent Scene Decomposition from Multitraverse},author={Li, Yiming and Wang, Zehong and Wang, Yue and Yu, Zhiding and Gojcic, Zan and Pavone, Marco and Feng, Chen and Alvarez, Jose M.},year={2024},booktitle={Conference on Neural Information Processing Systems},}
NeurIPS
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven L. Waslander, Yue Wang, Sanja Fidler, and 2 more authors
In Conference on Neural Information Processing Systems 2024
@inproceedings{wang2024distillnerf,title={DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features},author={Wang, Letian and Kim, Seung Wook and Yang, Jiawei and Yu, Cunjun and Ivanovic, Boris and Waslander, Steven L. and Wang, Yue and Fidler, Sanja and Pavone, Marco and Karkus, Peter},year={2024},booktitle={Conference on Neural Information Processing Systems},}
CORL Oral
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation
Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas Guibas, He Wang, and Yue Wang
@inproceedings{kuang2024,title={RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation},author={Kuang, Yuxuan and Ye, Junjie and Geng, Haoran and Mao, Jiageng and Deng, Congyue and Guibas, Leonidas and Wang, He and Wang, Yue},year={2024},booktitle={The Conference on Robot Learning},}
CORL
Q-SLAM: Quadric Representations for Monocular SLAM
Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, and 1 more author
@inproceedings{peng2024,title={Q-SLAM: Quadric Representations for Monocular SLAM},author={Peng, Chensheng and Xu, Chenfeng and Wang, Yue and Ding, Mingyu and Yang, Heng and Tomizuka, Masayoshi and Keutzer, Kurt and Pavone, Marco and Zhan, Wei},year={2024},booktitle={The Conference on Robot Learning},}
CORL
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving
Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, and Marco Pavone
@inproceedings{tian2024,title={Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving},author={Tian, Ran and Li, Boyi and Weng, Xinshuo and Chen, Yuxiao and Schmerling, Edward and Wang, Yue and Ivanovic, Boris and Pavone, Marco},year={2024},booktitle={The Conference on Robot Learning},}
COLM
A Language Agent for Autonomous Driving
Jiageng Mao*, Junjie Ye*, Yuxi Qian, Marco Pavone, and Yue Wang
@inproceedings{mao2024agent,title={A Language Agent for Autonomous Driving},author={Mao*, Jiageng and Ye*, Junjie and Qian, Yuxi and Pavone, Marco and Wang, Yue},year={2024},booktitle={Conference on Language Modeling},}
ECCV Oral
Denoising Vision Transformers
Jiawei Yang*, Katie Z Luo*, Jiefeng Li, Congyue Deng, Leo Guibas, Kilian Q Weinberger, Yonglong Tian, and Yue Wang
In The European Conference on Computer Vision 2024
@inproceedings{yang2024dvt,title={Denoising Vision Transformers},author={Yang*, Jiawei and Luo*, Katie Z and Li, Jiefeng and Deng, Congyue and Guibas, Leo and Weinberger, Kilian Q and Tian, Yonglong and Wang, Yue},year={2024},booktitle={The European Conference on Computer Vision},}
ECCV
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors
Tianyuan Yuan, Yucheng Mao, Jiawei Yang, Yicheng Liu, Yue Wang, and Hang Zhao
In The European Conference on Computer Vision 2024
@inproceedings{yuan2024,title={PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors},author={Yuan, Tianyuan and Mao, Yucheng and Yang, Jiawei and Liu, Yicheng and Wang, Yue and Zhao, Hang},year={2024},booktitle={The European Conference on Computer Vision},}
ICML
Parallelized Spatiotemporal Slot Binding for Videos
Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, and Tong Che
In International Conference on Machine Learning 2024
@inproceedings{singh2024,title={Parallelized Spatiotemporal Slot Binding for Videos},author={Singh, Gautam and Wang, Yue and Yang, Jiawei and Ivanovic, Boris and Ahn, Sungjin and Pavone, Marco and Che, Tong},year={2024},booktitle={International Conference on Machine Learning},}
CVPR
Towards Realistic Scene Generation with LiDAR Diffusion Models
Haoxi Ran, Vitor Guizilini, and Yue Wang
In The Conference on Computer Vision and Pattern Recognition 2024
@inproceedings{ran2024,title={Towards Realistic Scene Generation with LiDAR Diffusion Models},author={Ran, Haoxi and Guizilini, Vitor and Wang, Yue},year={2024},booktitle={The Conference on Computer Vision and Pattern Recognition},}
CVPR
Driving Everywhere with Large Language Model Policy Adaptation
Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, and Marco Pavone
In The Conference on Computer Vision and Pattern Recognition 2024
@inproceedings{li2024,title={Driving Everywhere with Large Language Model Policy Adaptation},author={Li, Boyi and Wang, Yue and Mao, Jiageng and Ivanovic, Boris and Veer, Sushant and Leung, Karen and Pavone, Marco},year={2024},booktitle={The Conference on Computer Vision and Pattern Recognition},}
CVPR
PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving
In The Conference on Computer Vision and Pattern Recognition 2024
@inproceedings{weng2024,title={PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving},author={},year={2024},booktitle={The Conference on Computer Vision and Pattern Recognition},}
ICLR
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 2024
@inproceedings{yang2023emernerf,title={EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision},author={Yang, Jiawei and Ivanovic, Boris and Litany, Or and Weng, Xinshuo and Kim, Seung Wook and Li, Boyi and Che, Tong and Xu, Danfei and Fidler, Sanja and Pavone, Marco and Wang, Yue},year={2024},booktitle={International Conference on Learning Representations},}
ICRA
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Map
Katie Z Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q Weinberger, Yue Wang, and Marco Pavone
In International Conference on Robotics and Automation 2024
@inproceedings{luo2023smerf,title={Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Map},author={Luo, Katie Z and Weng, Xinshuo and Wang, Yan and Wu, Shuang and Li, Jie and Weinberger, Kilian Q and Wang, Yue and Pavone, Marco},year={2024},booktitle={International Conference on Robotics and Automation},}
2023
arXiv
LiNeRF: Rethinking Directional Integration in Neural Radiance Fields
Congyue Deng, Jiawei Yang, Leonidas Guibas, and Yue Wang
@article{deng2023linerf,title={LiNeRF: Rethinking Directional Integration in Neural Radiance Fields},author={Deng, Congyue and Yang, Jiawei and Guibas, Leonidas and Wang, Yue},year={2023},booktitle={arXiv},}
@article{mao2023gpt,title={GPT-Driver: Learning to Drive with GPT},author={Mao, Jiageng and Qian, Yuxi and Zhao, Hang and Wang, Yue},year={2023},booktitle={arXiv},}
NeurIPS
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
@inproceedings{tian2023occ3d,title={Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving},author={Tian, Xiaoyu and Jiang, Tao and Yun, Longfei and Mao, Yucheng and Yang, Huitong and Wang, Yue and Wang, Yilun and Zhao, Hang},year={2023},booktitle={Conference on Neural Information Processing Systems},}
CORL
Cross-Dataset Sensor Alignment: Making Visual 3D Object Detector Generalizable
Liangtao Zheng, Yicheng Liu, Yue Wang, and Hang Zhao
@inproceedings{zheng2023cross,title={Cross-Dataset Sensor Alignment: Making Visual 3D Object Detector Generalizable},author={Zheng, Liangtao and Liu, Yicheng and Wang, Yue and Zhao, Hang},year={2023},booktitle={The Conference on Robot Learning},}
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
@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},}
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
@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},}
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
@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},}
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
@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},}
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
@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
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
@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},}
CORL
Self-Supervised Collaborative Scene Completion: Towards Task-Agnostic Multi-Robot Perception
@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},}
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
@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
NeurIPS
Object DGCNN: 3D Object Detection using Dynamic Graphs
Yue Wang, and Justin M. Solomon
In Conference on Neural Information Processing Systems 2021
@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},}
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
@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},}
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
@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},}
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
@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},}
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
@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},}
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
@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
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
@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},}
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
@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},}
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
@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},}
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
@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
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
@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},}
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
@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},}
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
@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
ArXiv
Im2Avatar: Colorful 3D Reconstruction from a Single Image
Yongbin Sun, Ziwei Liu, Yue Wang, and Sanjay E. Sarma
@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},}