About Me

From 2019 to present, I am a PhD student in Department of Computer Science, Beijing Institute of Technology, advised by Prof. Jianbing Shen.

From 2022 to present, I am a research intern at Foundation model group in MEGVII Technology, supervised by Tiancai Wang and Xiangyu Zhang.

In 2021-2022, I was a research intern at Inception Institute of Artificial Intelligence, UAE, supervised by Xingping Dong and Prof. Ling Shao.

In 2019, I recevied my Bachelor’s degree from the Class of Xu, Beijing Institute of Technology.

My current research interests are in the areas of (1) Vision-language learning, (2) Multi-modal LLM and (3) Autonomous driving.

News

  • 2024.01: One paper (TopoMLP) is accepted by ICLR2024.
  • 2023.10: I’m awarded National Scholarship!
  • 2023.07: One paper (OnlineRefer) is accepted by ICCV2023.
  • 2023.06: We rank the 1st place at OpenLane Topology in CVPR2023 Autonomous Driving Challenge. Solution is released.
  • 2023.03: One paper (Refering Multi-Object Tracking) is accepted by CVPR2023.
  • 2023.03: My personal homepage is created! Welcome!

Publications

Preprint Papers:

  • Merlin:Empowering Multimodal LLMs with Foresight Minds
    En Yu, Liang Zhao, Yana Wei, Jinrong Yang, Dongming Wu, Lingyu Kong, Haoran Wei, Tiancai Wang, Zheng Ge, Xiangyu Zhang, Wenbing Tao
    |2023|Paper|

  • Language prompt for autonomous driving
    Dongming Wu, Wencheng Han, Tiancai Wang, Yingfei Liu, Xiangyu Zhang, Jianbing Shen
    |2023|Paper|

Conference Papers

ICLR 2024
sym

TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
|ICLR 2024|Paper|Code|

Dongming Wu, Jiahao Chang, Fan Jia, Yingfei Liu, Tiancai Wang, Jianbing Shen

  • TopoMLP is the 1st solution for 1st OpenLane Topology in Autonomous Driving Challenge. It suggests a first-detect-then-reason philosophy for better topology prediction.
ICCV 2023
sym

OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation
|ICCV 2023|Paper|Code|

Dongming Wu, Tiancai Wang, Yuang Zhang, Xiangyu Zhang, Jianbing Shen

  • OnlineRefer is the first to challenge the widespread belief that only offline models can deal well with RVOS and makes online RVOS great again.
CVPR 2023
sym

Referring Multi-Object Tracking
|CVPR 2023|Paper|Code|

Dongming Wu, Wencheng Han, Tiancai Wang, Xingping Dong, Xiangyu Zhang, Jianbing Shen

  • RMOT is a new referring understanding task that can detect and track an arbitrary number of objects following human instruction. We propose the first RMOT benckmark Refer-KITTI, and a baseline model TransRMOT.
CVPR 2022
sym

Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation
|CVPR 2022|Paper|

Dongming Wu, Xingping Dong, Ling Shao, Jianbing Shen

Journal Papers:

  • Person re-identification by context-aware part attention and multi-head collaborative learning(TIFS)
    Dongming Wu, Mang Ye, Gaojie Lin, Xin Gao, Jianbing Shen
    |2021|Paper|

  • Reducing estimation bias via triplet-average deep deterministic policy gradient(TNNLS)
    Dongming Wu, Xingping Dong, Jianbing Shen, Steven CH Hoi
    |2020|Paper|

Technical Report:

  • The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge
    Dongming Wu, Fan Jia, Jiahao Chang, Zhuoling Li, Jianjian Sun, Chunrui Han, Shuailin Li, Yingfei Liu, Zheng Ge, Tiancai Wang
    |2023|Paper|Code|

Honors

  • National Scholarship, Ministry of Education China.
  • The 1st place at OpenLane Topology in CVPR2023 Autonomous Driving Challenge ($15,000), Shanghai AI Lab and Huawei.
  • HuaRuiShiJi(华瑞世纪) Scholarship, Beijing Institute of Technology.

Service

Invited Reviewer for conferences:

  • CVPR 2023,2024
  • ICCV 2023
  • ECCV 2024

Invited Reviewer for journals:

  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Multimedia (TMM)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Intelligent Vehicles (TIV)
  • Pattern Recognition (PR)
  • Neurocomputing