About me

I am a Research Scientist at Embodied AI Center, Shanghai AI Laboratory, and lead a team working on 3D Perception and Navigation Intelligence. My research focuses on building a foundation model that can understand our 3D world comprehensively (a.k.a. Spatial Intelligence), especially from ego-centric observations, and ultimately enables general physical intelligence. In recent years, we have contributed several fundamental endeavors from general 3D perception (Cylinder3D, FCOS3D, DfM), embodied multi-modal 3D perception (EmbodiedScan, PointLLM, LLaVA-3D), to downstream embodied tasks (NavDP, GRUtopia), with continuing open-source efforts (MMDetection3D, OpenRobotLab).

Working with Dr. Jiangmiao Pang, we are dedicated to building Embodied AGI systems and empowering academia and industry through open-source initiatives. If you are interested, please reach out to us for potential positions or collaborations.

I earned my Ph.D. degree from MMLab, The Chinese University of Hong Kong, supervised by Prof. Dahua Lin. Before that, I received my B.Eng degree from Zhejiang University with the highest honors.

News

• [2025/06] We release NavDP, StreamVLN, MMSI-Bench and GLEAM.
• [2024/07] We release GRUtopia, MMScan and Grounded 3D-LLM.
• [2024/03] EmbodiedScan and GenNBV are accepted by CVPR 2024. The Challenge Server is online!
• [2024/02] We will host the Multi-View 3D Visual Grounding track in the Autonomous Grand Challenge.
• [2024/01] UniHSI is accepted by ICLR 2024 as Spotlight.
• [2023/12] We release EmbodiedScan, the first ego-centric, multi-modal 3D perception suite for holistic 3D scene understanding.
• [2023/08] We release PointLLM, the first work empowering LLMs to understand point clouds with solid evaluation and benchmarks.

Education

 The Chinese University of Hong Kong (CUHK)

  August 2019 - July 2023

  Ph.D. in Information Engineering

 Zhejiang University (ZJU)

  August 2015 - July 2019

  Major: B.E. in Information Engineering

  Minor: Advanced Honor Class of Engineering Education (ACEE), Chu Kochen Honors College

Selected Publications

Navigation & Exploration

 StreamVLN: Streaming Vision-and-Language Navigation via
 SlowFast Context Modeling

  Meng Wei*, Chenyang Wan*, Xiqian Yu*, Tai Wang*‡, et al.

  To be preprinted on arXiv

  [Project Page] [Paper](Coming Soon) [Code](Coming Soon) [Zhihu]

 NavDP: Learning Sim-to-Real Navigation Diffusion Policy with
 Privileged Information Guidance

  Wenzhe Cai, Jiaqi Peng, Yuqiang Yang, Yujian Zhang, …, Tai Wang†, Jiangmiao Pang†

  ArXiv preprint

  [Project Page] [Paper] [Code] [Zhihu]

 GLEAM: Learning Generalizable Exploration Policy for Active Mapping
 in Complex 3D Indoor Scenes

  Xiao Chen, Tai Wang, Quanyi Li, Tao Huang, Jiangmiao Pang, Tianfan Xue

  IEEE/CVF International Conference on Computer Vision (ICCV) 2025

  [Project Page] [Paper] [Code]

Embodied Multi-Modal 3D Perception

 MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

  Sihan Yang*, Runsen Xu*‡, Yiman Xie, Sizhe Yang, …, Tai Wang†, Jiangmiao Pang†

  ArXiv preprint

  [Project Page] [Paper] [Code] [中文解读]

 LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs
 with 3D-awareness

  Chenming Zhu, Tai Wang†, Wenwei Zhang, Jiangmiao Pang, Xihui Liu†

  IEEE/CVF International Conference on Computer Vision (ICCV) 2025

  [Project Page] [Paper] [Code]

 MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical
 Grounded Language Annotations

  Ruiyuan Lyu*, Tai Wang*, Jingli Lin*, Shuai Yang*, et al.

  Conference on Neural Information Processing Systems (NeurIPS) 2024

  [Project Page] [Paper] [Code]

 Grounded 3D-LLM with Referent Tokens

  Yilun Chen*, Shuai Yang*, Haifeng Huang*, Tai Wang, Ruiyuan Lyu, Runsen Xu, Dahua Lin, Jiangmiao Pang

  ArXiv preprint

  [Project Page] [Paper] [Code]

 Empowering 3D Visual Grounding with Reasoning Capabilities

  Chenming Zhu, Tai Wang, Wenwei Zhang, Kai Chen, Xihui Liu

  European Conference on Computer Vision (ECCV) 2024

  [Project Page] [Paper] [Code]

 PointLLM: Empowering Large Language Models to Understand Point Clouds

  Runsen Xu, Xiaolong Wang, Tai Wang†, Yilun Chen, Jiangmiao Pang†, Dahua Lin

  European Conference on Computer Vision (ECCV) 2024, Best Paper Candidate (all strong accept)

  [Project Page] [Paper] [Code]

 EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite
 Towards Embodied AI

  Tai Wang*, Xiaohan Mao*, Chenming Zhu*, et al.

  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024

  [Project Page] [Paper] [Code] [中文解读]

Embodied Interaction & Simulation

 CooHOI: Learning Cooperative Human-Object Interaction with
 Manipulated Object Dynamics

  Jiawei Gao, Ziqin Wang, Zeqi Xiao, Jingbo Wang, Tai Wang, et al.

  Conference on Neural Information Processing Systems (NeurIPS) 2024, Spotlight

  [Paper] [Code](Coming Soon)

 GRUtopia: Dream General Robots in a City at Scale

  Hanqing Wang*, Jiahe Chen*, Wensi Huang*, Qingwei Ben*, Tai Wang*, Boyu Mi*, et al.

  ArXiv preprint

  [Project Page] [Paper] [Code] [Doc] [Youtube] [bilibili]

 UniHSI: Unified Human-Scene Interaction via Prompted Chain-of-Contacts

  Zeqi Xiao, Tai Wang, Jingbo Wang, Jinkun Cao, Wenwei Zhang, Bo Dai, Dahua Lin, Jiangmiao Pang

  International Conference on Learning Representations (ICLR) 2024, Spotlight

  [Project Page] [Paper] [Code]

Vision-Based 3D Perception

 DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera
 3D Object Detection and Tracking

  Qing Lian, Tai Wang, Jiangmiao Pang, Dahua Lin

  Conference on Robot Learning (CoRL) 2023

  [Paper] [Code]

 Vision-Centric BEV Perception: A Survey

  Yuexin Ma*, Tai Wang*, Xuyang Bai*, Huitong Yang, Yuenan Hou, Yaming Wang,
  Yu Qiao, Ruigang Yang, Dinesh Manocha, Xinge Zhu

  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024

  [Paper] [Code]

 Scene as Occupancy

  Chonghao Sima*, Wenwen Tong*, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu,
  Ping Luo, Dahua Lin, Hongyang Li

  End-to-End Autonomous Driving, CVPR 2023 Workshop and Challenge

  IEEE/CVF International Conference on Computer Vision (ICCV) 2023

  [Paper] [Code]

 Monocular 3D Object Detection with Depth from Motion

  Tai Wang, Jiangmiao Pang, Dahua Lin

  European Conference on Computer Vision (ECCV) 2022, Oral

  [Paper] [Code]

 Probabilistic and Geometric Depth: Detecting Objects in Perspective

  Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin

  Conference on Robot Learning (CoRL) 2021

  [Paper] [Code] [Poster]

 FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

  Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin

  ICCV Workshop on 3D Object Detection from Images (ICCVW) 2021, Best Paper Award

  1st place solution of vision-only methods in the nuScenes 3D detection challenge, NeurIPS 2020

  [Paper] [Code] [Slides] [Zhihu]

Voxel Representation Learning in LiDAR-Based Perception

 Position-Guided Point Cloud Panoptic Segmentation Transformer

  Zeqi Xiao*, Wenwei Zhang*, Tai Wang*, Chen Change Loy, Dahua Lin, Jiangmiao Pang

  International Journal of Computer Vision (IJCV) 2024

  [Paper] [Code]

 Cylindrical and Asymmetrical 3D Convolution Networks for
 LiDAR Segmentation

  Xinge Zhu*, Hui Zhou*, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, Dahua Lin

  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021, Oral

  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021

  [Paper] [Code] [TPAMI version] [Bibtex]

 Reconfigurable Voxels: A New Representation for LiDAR-Based
 Point Clouds

  Tai Wang, Xinge Zhu, Dahua Lin

  Conference on Robot Learning (CoRL) 2020

  [Paper] [Spotlight Talk]

Efficient Annotation of LiDAR Point Clouds

 FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-based
 Point Clouds

  Tai Wang, Conghui He, Zhe Wang, Jianping Shi, Dahua Lin

  ACM Symposium on User Interface Software and Technology (UIST) 2020, Poster

  [Full Tech Report] [Poster] [Poster Summary] [Demo]

Research Projects

 MMDetection3D: The Next-Generation Platform for General 3D Detection

  A versatile, open-source 3D object detection toolbox based on PyTorch

  MMDetection3D Contributors

  May 2020 – Now

  [Code] [Doc] [Bibtex]

Selected Awards

• Best Paper Award Candidate of ECCV 2024
• Runner-up of Waymo Camera-Only 3D Detection Challenge, CVPR 2022
• Best Paper Award of Workshop on 3D Object Detection from Images, ICCV 2021
• 1st place of vision-only track and best PKL award of overall track, NuScenes 3D Detection Challenge, NeurIPS 2020
• Runner-up of NuScenes LiDAR Segmentation Challenge, NeurIPS 2020
• Gold Medal of Kaggle Competition (Top 1% of Lyft 3D Detection Challenge), NeurIPS 2019
• Hong Kong PhD Fellowship (HKPFS), 2019
• Chu Kochen Scholarship (Highest scholarship at Zhejiang University), 2018
• Top 10 Students of ZJU (Highest honor for 5 undergraduates/graduates), 2018
• National Scholarship (1.5%), 2017-2018
• First Prize in Physics Competition for Undergraduate, 2017

Teaching

• Computer Vision (Undergraduate Course), Winter 2018 @ ZJU
• IERG2080: Introduction to Systems Programming, Fall 2020 @ CUHK
• IERG2470B/ESTR2308: Probability Models and Applications (Elite Students), Spring 2021 @ CUHK

Miscellaneous

Academic Services
I served as a reviewer for CVPR, ICCV, ECCV, CoRL, NeurIPS, ICLR, ICML, WACV, TPAMI, IJCV, TVCG.

Hobbies
Love: 🏀Basketball (I am a big fan of Stephen Curry and Tracy McGrady), 🎵music/🎤singing and good at 🖌️Chinese calligraphy (learned from MA Liangchen and MA Shanshuang).