Amirhossein Dadashzadeh

Amir.jpeg

a.dadashzadeh@bristol.ac.uk

Hi! I am a Research Associate in Computer Vision at the University of Bristol, working on the TORUS project, where I develop learning-based, multimodal video systems for long-term human motion representation and analysis in real-world environments.

I completed my PhD in Computer Vision at the University of Bristol, where I developed deep learning methods for video-based analysis of human movement. My PhD was supervised by Professor Majid Mirmehdi and Professor Alan Whone.

My research interests include video understanding, multimodal and vision–language learning, and developing adaptive and efficient learning systems that generalise across environments, particularly in limited or unlabeled data settings and real-world deployment scenarios.

news

Nov 15, 2025 Co-STAR accepted at WACV 2026!
Code available here → GitHub Repository
Oct 13, 2025 I gave a guest lecture in Computer Vision at the University of Bristol.
Aug 15, 2025 CARE-PD dataset introduced at NeurIPS 2025
A multi-site anonymized 3D gait dataset derived from RGB video and motion capture. Project website
Aug 15, 2024 SEA accepted at NeurIPS 2024!
Paper on reducing temporal rollout error in long-sequence PDE generation.
Code available here → GitHub Repository
Dec 01, 2023 PFED5 released! – A Parkinson’s disease facial expression dataset with 41 patients, 5 expressions, and MDS-UPDRS scores.
Download PFED5
Oct 17, 2023 PECoP @ WACV 2024! – Code and PD4T dataset now available. GitHub

selected publications

  1. co-star.png
    Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain Adaptation
    Amirhossein Dadashzadeh, Parsa Esmati, and Majid Mirmehdi
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
  2. care.png
    CARE-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson’s Disease Gait Assessment
    Vida Adeli, Ivan Klabucar, Javad Rajabi, and 8 more authors
    Advances in Neural Information Processing Systems (NeurIPS), 2025
  3. trajec.png
    Trajectory-guided Motion Perception for Facial Expression Quality Assessment in Neurological Disorders
    Shuchao Duan, Amirhossein Dadashzadeh, Alan Whone, and 1 more author
    In IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2025
    Accepted
  4. SEA.png
    SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
    Parsa Esmati, Amirhossein Dadashzadeh, Vahid Ardakani, and 2 more authors
    In Advances in Neural Information Processing Systems, 2024
  5. pecop.png
    Pecop: Parameter efficient continual pretraining for action quality assessment
    Amirhossein Dadashzadeh, Shuchao Duan, Alan Whone, and 1 more author
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
  6. aug.png
    Auxiliary learning for self-supervised video representation via similarity-based knowledge distillation
    Amirhossein Dadashzadeh, Alan Whone, and Majid Mirmehdi
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022