Yue Wang

According to our database, Yue Wang authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

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

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

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

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