Ho Man Kwan

PhD Student

University of Bristol

hm.kwan@bristol.ac.uk



About

I am currently a PhD student (Oct 2022 - Present) at the Visual Information Laboratory, University of Bristol. My research is supervised by Prof. David Bull and Dr. Aaron Zhang. My research is funded by EPSRC (iCASE), BT, and the UKRI MyWorld Strength in Places Programme. My research interests include deep video compression and volumetric video compression, particularly based on neural representations.

News

  • Jul 2026: Our paper "Enhanced Neural Video Representation Compression Across Extreme Complexity and Quality Scales" has been accepted by ECCV 2026.
  • Apr 2026: Our paper "ViVo: A Dataset for Human Volumetric Video Reconstruction and Compression" has been published in IEEE TCSVT.
  • Oct 2025: Our paper "Ultra-lightweight Neural Video Representation Compression" has been accepted by PCS 2025.
  • Feb 2025: Our paper "HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution" has been accepted by CVPR 2025.
  • Jan 2025: Our paper "BVI-CR: A Multi-View Human Dataset for Volumetric Video Compression" has been accepted by ISCAS 2025.
  • Dec 2024: Our paper "PNVC: Towards Practical INR-based Video Compression" has been accepted by AAAI 2025.
  • Sep 2024: Our paper "NVRC: Neural Video Representation Compression" has been accepted by NeurIPS 2024.
  • Sep 2024: Our team won first place in the End-to-End Video Compression Track (Track 2) at the 3rd Practical End-to-End Image/Video Compression Challenge in IEEE MMSP 2024.
  • Feb 2023: Our paper "Immersive Video Compression using Implicit Neural Representations" has been accepted by PCS 2024.
  • Sep 2023: Our paper "HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation" has been accepted by NeurIPS 2023.

    • Selected Publications

    • Enhanced Neural Video Representation Compression Across Extreme Complexity and Quality Scales. [arXiv]
      H. M. Kwan, T. Peng, F. Zhang, M. Nilsson, A. Gower and D. Bull, ECCV 2026

    • NVRC: Neural Video Representation Compression. [arXiv]
      H. M. Kwan, G. Gao, F. Zhang, A. Gower and D. Bull, NeurIPS 2024

    • HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation. [project][arXiv][Code]
      H. M. Kwan, G. Gao, F. Zhang, A. Gower and D. Bull, NeurIPS 2023

    Publications

    • Enhanced Neural Video Representation Compression Across Extreme Complexity and Quality Scales. [arXiv]
      H. M. Kwan, T. Peng, F. Zhang, M. Nilsson, A. Gower and D. Bull, ECCV 2026

    • ViVo: A Dataset for Human Volumetric Video Reconstruction and Compression. [arXiv][IEEE]
      A. Azzarelli, G. Gao, H. M. Kwan, F. Zhang, N. Anantrasirichai, O. Moolan-Feroze and D. Bull, IEEE TCSVT

    • Ultra-lightweight Neural Video Representation Compression. [arXiv]
      H. M. Kwan, T. Peng, G. Gao, F. Zhang, M. Nilsson, A. Gower, and D. Bull, PCS 2025

    • HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution. [arXiv]
      Y. Jiang, H. M. Kwan, T. Peng, G. Gao, F. Zhang, X. Zhu, J. Sole and D. Bull, CVPR 2025

    • BVI-CR: A Multi-View Human Dataset for Volumetric Video Compression. [arXiv]
      G. Gao, A. Azzarelli, H. M. Kwan, N. Anantrasirichai, F. Zhang, W. Andrew, O. Moolan-Feroze and D.Bull, ISCAS 2025

    • PNVC: Towards Practical INR-based Video Compression. [arXiv]
      G. Gao, H. M. Kwan, F. Zhang and D. Bull, AAAI 2025

    • NVRC: Neural Video Representation Compression. [arXiv]
      H. M. Kwan, G. Gao, F. Zhang, A. Gower and D. Bull, NeurIPS 2024

    • Immersive Video Compression using Implicit Neural Representations. [arXiv]
      H. M. Kwan, F. Zhang, A. Gower and D. Bull, PCS 2024

    • HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation. [project][arXiv][Code]
      H. M. Kwan, G. Gao, F. Zhang, A. Gower and D. Bull, NeurIPS 2023

    • SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling. [arXiv]
      H. M. Kwan and S. Song, ECCV 2022

    Preprints

    • High-Fidelity Video Compression based on Invertible Neural Transform and Implicit Conditioning. [arXiv]
      S. Teng, H. M. Kwan, Y. Jiang, F. Zhang and D. Bull, arXiv 2026

    • Advances in Neural Video Compression: A Review and Benchmarking. [Preprints.org]
      G. Gao, C. Feng, Y. Jiang, T. Peng, H. M. Kwan, S. Teng, C. Zeng, Y. Li, C. Wang, R. Hamilton, Z. Qi, F. Zhang and D. Bull, Preprints.org 2026

    • Instance Data Condensation for Image Super-Resolution. [arXiv]
      T. Peng, H. M. Kwan, Y. Jiang, G. Gao, F. Zhang, X. Xu, S. Liu and D. Bull, arXiv 2025

    • FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning. [arXiv]
      H. M. Kwan and S. Song, arXiv 2023

    Reviewer Experience

    • Conferences: NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, WACV, PCS
    • Journals: IEEE TPAMI, IEEE TIP, IEEE TMM, IEEE TCSVT