Gyanateet Dutta

I’m interested in what models learn from surgical video when only some frames are labelled, and whether that helps with phase recognition or predicting what comes next. In quantum computing, I want to know whether learned models can design circuits worth running for molecular simulation.

Research technician · University of Leeds

CVWorkORCIDGoogle ScholarGitHub

Research interests

Sparse-label surgical phase detection, Surgical video prediction, Image-based 3D reconstruction, Hybrid quantum–classical algorithms.

Education

  • MSc Advanced Computer Science (Artificial Intelligence)
    University of Leeds
    2023–2024
    Completed. Self-reported dates.

Selected publications

  • G. Dutta, A. Hammad, T. Archer, Q. Dou, N. Mohammed, S. Ali. Self-Supervised Vision Transformer for Surgical Phase Recognition in Endoscopic Submucosal Dissection. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. [doi] [code]
    The paper reports 89.5% accuracy on the patient test set and 90.0% on the porcine test set.
    BibTeX
    @inproceedings{dutta2026selfsupervised,
  title={Self-Supervised Vision Transformer for Surgical Phase Recognition in Endoscopic Submucosal Dissection},
  author={Dutta, Gyanateet and Hammad, Aya and Archer, Thomas and Dou, Qi and Mohammed, Noor and Ali, Sharib},
  booktitle={IEEE ISBI 2026},
  year={2026},
  doi={10.1109/isbi61048.2026.11515812}
}
  • N. K. Rout, G. Dutta, V. Sinha, A. Dey, S. Mukherjee, G. Gupta. Improved Pothole Detection Using YOLOv7 and ESRGAN. arXiv preprint, 2024. [pdf] [code]
    Submitted November 2023. Unreviewed preprint.
    BibTeX
    @article{rout2024pothole,
  title={Improved Pothole Detection Using YOLOv7 and ESRGAN},
  author={Rout, Nirmal Kumar and Dutta, Gyanateet and Sinha, Varun and Dey, Arghadeep and Mukherjee, Subhrangshu and Gupta, Gopal},
  journal={arXiv preprint arXiv:2401.08588},
  year={2024},
  eprint={2401.08588},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}
  • G. Dutta. Solving The Travelling Salesmen Problem using HNN and HNN-SA algorithms. arXiv preprint, 2022. [pdf]
    Unreviewed preprint.
    BibTeX
    @article{dutta2022tsp,
  title={Solving The Travelling Salesmen Problem using HNN and HNN-SA algorithms},
  author={Dutta, Gyanateet},
  journal={arXiv preprint arXiv:2202.13746},
  year={2022},
  eprint={2202.13746},
  archivePrefix={arXiv},
  primaryClass={cs.AI}
}

Timeline

  • 2026H-cGQE for the GIC advanced-materials track, Ryoushi / Quantum Buddies
  • 2026Self-supervised ViT for surgical phase recognition, IEEE ISBI
  • 2025Research technician, University of Leeds
  • 2025AIMS research intern (Mar–Nov), AI in Medicine and Surgery
  • 2025Bradford Quantum Hackathon (teammate-reported prizes) and YQuantum 2025, Quantum Rings virtual track
  • 2024Dalton Mills reconstruction, Science Museum Group / HELIX XR
  • 2024MSc Advanced Computer Science (Artificial Intelligence), University of Leeds
  • 2024Improved Pothole Detection Using YOLOv7 and ESRGAN, arXiv:2401.08588
  • 2022Solving The Travelling Salesmen Problem using HNN and HNN-SA algorithms, arXiv:2202.13746