Yue Wang

According to our database, Yue Wang authored at least 54 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Martian World Models: Controllable Video Synthesis with Physically Accurate 3D Reconstructions.

Longfei Li, Zhiwen Fan, Wenyan Cong, Xinhang Liu, Yuyang Yin, Matthew Foutter, Panwang Pan, Chenyu You, Yue Wang, Zhangyang Wang, Yao Zhao, Marco Pavone, Yunchao Wei

CoRR, July, 2025

SkillBlender: Towards Versatile Humanoid Whole-Body Loco-Manipulation via Skill Blending.

Yuxuan Kuang, Haoran Geng, Amine Elhafsi, Tan-Dzung Do, Pieter Abbeel, Jitendra Malik, Marco Pavone, Yue Wang

CoRR, June, 2025

RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning.

Haoran Geng, Feishi Wang, Songlin Wei, Yuyang Li, Bangjun Wang, Boshi An, Charlie Tianyue Cheng, Haozhe Lou, Peihao Li, Yen-Jen Wang, Yutong Liang, Dylan Goetting, Chaoyi Xu, Haozhe Chen, Yuxi Qian, Yiran Geng, Jiageng Mao, Weikang Wan, Mingtong Zhang, Jiangran Lyu, Siheng Zhao, Jiazhao Zhang, Jialiang Zhang, Chengyang Zhao, Haoran Lu, Yufei Ding, Ran Gong, Yuran Wang, Yuxuan Kuang, Ruihai Wu, Baoxiong Jia, Carlo Sferrazza, Hao Dong, Siyuan Huang, Yue Wang, Jitendra Malik, Pieter Abbeel

CoRR, April, 2025

SIRE: SE(3) Intrinsic Rigidity Embeddings.

Cameron Smith, Basile Van Hoorick, Vitor Guizilini, Yue Wang

CoRR, March, 2025

DreamDrive: Generative 4D Scene Modeling from Street View Images.

Jiageng Mao, Boyi Li, Boris Ivanovic, Yuxiao Chen, Yan Wang, Yurong You, Chaowei Xiao, Danfei Xu, Marco Pavone, Yue Wang

CoRR, January, 2025

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models.

Ziqi Lu, Heng Yang, Danfei Xu, Boyi Li, Boris Ivanovic, Marco Pavone, Yue Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding.

Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Language-Image Models with 3D Understanding.

Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

OmniRe: Omni Urban Scene Reconstruction.

Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic, Sanja Fidler, Marco Pavone, Li Song, Yue Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes.

Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Péter Karkus, Danfei Xu, Yue Wang, Marco Pavone

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning Temporally Consistent Video Depth from Video Diffusion Priors.

Jiahao Shao, Yuanbo Yang, Hongyu Zhou, Youmin Zhang, Yujun Shen, Vitor Guizilini, Yue Wang, Matteo Poggi, Yiyi Liao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Learning from Massive Human Videos for Universal Humanoid Pose Control.

Jiageng Mao, Siheng Zhao, Siqi Song, Tianheng Shi, Junjie Ye, Mingtong Zhang, Haoran Geng, Jitendra Malik, Vitor Guizilini, Yue Wang

CoRR, 2024

Extrapolated Urban View Synthesis Benchmark.

Xiangyu Han, Zhen Jia, Boyi Li, Yan Wang, Boris Ivanovic, Yurong You, Lingjie Liu, Yue Wang, Marco Pavone, Chen Feng, Yiming Li

CoRR, 2024

InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models.

Yifan Lu, Xuanchi Ren, Jiawei Yang, Tianchang Shen, Zhangjie Wu, Jun Gao, Yue Wang, Siheng Chen, Mike Chen, Sanja Fidler, Jiahui Huang

CoRR, 2024

Large Spatial Model: End-to-end Unposed Images to Semantic 3D.

Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang

CoRR, 2024

InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds.

Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang

CoRR, 2024

Parallelized Spatiotemporal Binding.

Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che

CoRR, 2024

Denoising Vision Transformers.

Jiawei Yang, Katie Z. Luo, Jiefeng Li, Kilian Q. Weinberger, Yonglong Tian, Yue Wang

CoRR, 2024

StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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, Marco Pavone, Péter Karkus

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Memorize What Matters: Emergent Scene Decomposition from Multitraverse.

Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.

Yiming Li, Sihang Li, Xinhao Liu, Moonjun Gong, Kenan Li, Nuo Chen, Zijun Wang, Zhiheng Li, Tao Jiang, Fisher Yu, Yue Wang, Hang Zhao, Zhiding Yu, Chen Feng

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps.

Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Parallelized Spatiotemporal Slot Binding for Videos.

Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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, Sanja Fidler, Marco Pavone, Yue Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Denoising Vision Transformers.

Jiawei Yang, Katie Z. Luo, Jiefeng Li, Congyue Deng, Leonidas J. Guibas, Dilip Krishnan, Kilian Q. Weinberger, Yonglong Tian, Yue Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

PARA-Drive: Parallelized Architecture for Real-Time Autonomous Driving.

Xinshuo Weng, Boris Ivanovic, Yan Wang, Yue Wang, Marco Pavone

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Realistic Scene Generation with LiDAR Diffusion Models.

Haoxi Ran, Vitor Guizilini, Yue Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Driving Everywhere with Large Language Model Policy Adaptation.

Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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, Marco Pavone

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Q-SLAM: Quadric Representations for Monocular SLAM.

Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Rethinking Directional Integration in Neural Radiance Fields.

Congyue Deng, Jiawei Yang, Leonidas J. Guibas, Yue Wang

CoRR, 2023

A Language Agent for Autonomous Driving.

Jiageng Mao, Junjie Ye, Yuxi Qian, Marco Pavone, Yue Wang

CoRR, 2023

FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization.

Jiawei Yang, Marco Pavone, Yue Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Map Prior for Autonomous Driving.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Xiaoyu Tian, Haoxi Ran, Yue Wang, Hang Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FUTR3D: A Unified Sensor Fusion Framework for 3D Detection.

Xuanyao Chen, Tianyuan Zhang, Yue Wang, Yilun Wang, Hang Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning 3D Representations from Data

Yue Wang

PhD thesis, 2022

VectorMapNet: End-to-end Vectorized HD Map Learning.

Yicheng Liu, Yue Wang, Yilun Wang, Hang Zhao

CoRR, 2022

HDMapNet: An Online HD Map Construction and Evaluation Framework.

Qi Li, Yue Wang, Yilun Wang, Hang Zhao

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries.

Tianyuan Zhang, Xuanyao Chen, Yue Wang, Yilun Wang, Hang Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Representation Learning for Object Detection from Unlabeled Point Cloud Sequences.

Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon

Proceedings of the Conference on Robot Learning, 2022

2021

Improving Multi-Modal Learning with Uni-Modal Teachers.

Chenzhuang Du, Tingle Li, Yichen Liu, Zixin Wen, Tianyu Hua, Yue Wang, Hang Zhao

CoRR, 2021

Object DGCNN: 3D Object Detection using Dynamic Graphs.

Yue Wang, Justin M. Solomon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Few-shot Learning with Online Self-Distillation.

Sihan Liu, Yue Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

On Feature Decorrelation in Self-Supervised Learning.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

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

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

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

Yue Wang, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser, Justin Solomon

CoRR, 2020

Pillar-Based Object Detection for Autonomous Driving.

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?

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

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Dynamic Graph CNN for Learning on Point Clouds.

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

ACM Trans. Graph., 2019

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

Yue Wang, Justin M. Solomon

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Closest Point: Learning Representations for Point Cloud Registration.

Yue Wang, Justin Solomon

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019