Jiahao Nie     聂 嘉豪      

I am a Ph.D. candidate at Nanyang Technological University, under the supervision of Prof. Shijian Lu, Prof. Yap-Peng Tan, and Prof. Alex C. Kot. Before that, I obtained my M.S. in Signal Processing from Nanyang Technological University, supervised by Prof. Yap-Peng Tan, and my B.ENG. in Information Engineering from Northwestern Polytechnical University, supervised by Prof. Jie Chen.

My research interest are in Computer Vision and Artificial Intelligence.

Email  /  Github  /  Google Scholar

News

  • [Nov. 2024]   Our MMRel Benchmark is fully released.
  • [Sep. 2024]   Win the NTU IGP Research Excellence Award.
  • [Mar. 2024]   1 paper is accepted by ICME 2024 (Oral).
  • [Feb. 2024]   1 paper is accepted by CVPR 2024.
  • [Sep. 2023]   1 paper is accepted by NeurIPS 2023.

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    Preprint & Publication

    MMRel: A Relation Understanding Benchmark in the MLLM Era
    Jiahao Nie*, Gongjie Zhang*, Wenbin An, Yap-Peng Tan, Alex C. Kot, Shijian Lu
    arXiv preprint arXiv:2406.09121, 2024 [Paper] [Benchmark]

    Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining
    Jiahao Nie*, Yun Xing*, Gongjie Zhang, Pei Yan, Aoran Xiao, Yap-Peng Tan, Alex C. Kot, Shijian Lu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 [Paper] [Code]

    Color Space Learning for Cross-Color Person Re-identification
    Jiahao Nie, Shan Lin, Alex C. Kot
    IEEE International Conference on Multimedia and Expo, ICME 2024 (Oral) [Paper] [Code]

    Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
    Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, QianYing Wang, Ping Chen, Xiaoqin Zhang, Shijian Lu
    arXiv preprint arXiv:2406.12718, 2024 [Paper] 

    Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation
    Yun Xing, Jian Kang, Aoran Xiao, Jiahao Nie, Ling Shao, Shijian Lu
    Advances in Neural Information Processing Systems, NeurIPS 2023 [Paper] [Code]

    A Novel 3D Convolutional Neural Network for Action Recognition in Infrared Videos
    Jiahao Nie, Longbin Yan, Xiuheng Wang, Jie Chen
    IEEE International Conference on Information Communication and Signal Processing, IEEE ICICSP 2021 [Paper]
    Education

    Jan. 2023 - Present
    Nanyang Technological University,   Singapore
    Ph.D. in Computer Sciense

    Aug. 2021 - Aug. 2022
    Nanyang Technological University,   Singapore
    M.S. in Signal Processing

    Sep. 2016 - Jun. 2020
    Northwestern Polytechnical University,   China
    B.ENG. in Information Engineering   Outstanding Graduate

    Research Experience

    Sep. 2021 - Dec. 2022
    Rapid-Rich Object Search Lab,   NTU
    M.S. Dissertation Project & Research Associate
    Advisors:   Prof. Yap-Peng Tan, Prof. Alex C. Kot and Dr. Shan Lin

    Aug. 2020 - Jul. 2021
    Center of Intelligent Acoustics and Immersive Communications,   NWPU
    Research Assistant
    Advisor: Prof. Jie Chen

    Jul. 2019 - Aug. 2019
    Navigation Technology Engineering Center Laboratory,   THU
    Summer Intern
    Advisor: Prof. Qi Wei

    Miscellaneous

  • Reviewer:
           TMM, ICLR 2025, ICME 2024
  • Teaching:
           SC2079/CE3004/CZ3004 Multi-Disciplinary Design Project, NTU, 2023 Fall, 2024 Spring
           SC1003/SC5001/CE1103/CZ1103 Introduction to Computational Thinking and Programming, NTU, 2024 Fall
  • Activity:
           Vice Chairman of Student Union, School of Marine Science and Technology, NWPU  2017 - 2019
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    Honor & Award

  • NTU IGP Research Excellence Award (one of all Year2 students)   2024
  • NTU IGP Research Scholoarship   2023 - 2027
  • NWPU Outstanding Graduate of the University (Top 6% student)   2020
  • NWPU Outstanding Graduate of the School (Top 15% student)   2020
  • NWPU School-level Outstanding Student Award (three times & Top 15% student)   2017 - 2019
  • NWPU Special Scholarships (four times & Top 8% student)   2017 - 2019
  • Four national awards, including China Marine Vehicle Design and Manufacture Contest Outstanding Winner  2017 - 2019

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