Gyanateet Dutta
Research technician · University of Leeds
MSc Advanced Computer Science (Artificial Intelligence), University of Leeds, 2023–2024
I finished an MSc and am a research technician at the University of Leeds, working on self-supervised computer vision for surgical video — first author of an ISBI 2026 paper. I also work on hybrid quantum–classical algorithms with Ryoushi / Quantum Buddies, most recently H-cGQE for the GIC 2026 advanced-materials track.
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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 Leeds2023–2024Completed. Self-reported dates. Research intern, AI in Medicine and Surgery (AIMS), 2025.
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
- 2025Quantum Buddies; Bradford (teammate-reported prizes) and YQuantum 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