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Chenhongyi Yang

杨陈弘毅

PhD Student
University of Edinburgh

About Me

I am a PhD student at the School of Engineering, University of Edinburgh. My principal supervisor is Dr. Elliot J. Crowley. I am part of the BayesWatch group. I hold an MSc in Computer Science from Boston University and a BEng in Computer Science from the University of Science and Technology of China.

During my PhD, I interned at Meta Reality Labs, where I developed solutions for estimating human body poses on XR devices. Before starting my PhD, I worked as a research intern at TuSimple, building efficient models to detect tiny objects.

My research is in computer vision, with a focus on developing effective neural networks for 2D and 3D visual perception and designing efficient training algorithms for visual recognition models. Currently, I am focusing on developing effective strategies to better adapt visual foundation models to various downstream vision tasks.

Selected Publications

  1. PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition
    BMVC 2024
    Chenhongyi Yang*, Zehui Chen*, Miguel Espinosa*, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley
    arXiv Code

  2. EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation
    ECCV 2024
    Chenhongyi Yang, Anastasia Tkach, Shreyas Hampali, Linguang Zhang, Elliot J. Crowley, Cem Keskin
    arXiv Code

  3. WidthFormer: Toward Efficient Transformer-based BEV View Transformation
    IROS 2024
    Chenhongyi Yang, Tianwei Lin, Lichao Huang, Elliot J. Crowley
    arXiv Code Oral Presentation

  4. Plug and Play Active Learning for Object Detection
    CVPR 2024
    Chenhongyi Yang, Lichao Huang, Elliot J. Crowley
    arXiv Code

  5. GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
    ICLR 2023
    Chenhongyi Yang*, Jiarui Xu*, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang
    arXiv Code Spotlight Presentation

  6. Prediction-Guided Distillation for Dense Object Detection
    ECCV 2022
    Chenhongyi Yang, Mateusz Ochal, Amos Storkey, Elliot J. Crowley
    arXiv Code

  7. QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
    CVPR 2022
    Chenhongyi Yang, Zehao Huang, Naiyan Wang
    arXiv Code Oral Presentation

  8. Disentangle Your Dense Object Detector
    ACM Multimedia 2021
    Zehui Chen*, Chenhongyi Yang*, Qiaofei Li, Feng Zhao, Zheng-Jun Zha, Feng Wu
    arXiv Code Oral Presentation

  9. Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes
    ECCV 2020
    Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke
    arXiv Code


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