Tapas Kumar Dutta

I am a researcher specializing in Computer Vision, Multimodal, Large Language Model. I did my Master at the University of Surrey, where I have been worked on my thesis at the SketchX Lab under the supervision of Subhadeep Koley and Professor Yi-Zhe Song.

I was a Data Scientist at National Health Service, SWLEOC, and collaborated with Bagci Lab and INRIA, STARS Team on various research projects.

Alongside, I have held research and engineering positions at LearnOpenCV, BitsCrunch, VIVEN, Malaviya National Institute of Technology Jaipur and Indian Institute of Technology, Hyderabad.

Tapas Kumar Dutta

Email  /  LinkedIn  /  GitHub  /  Kaggle /  Google Scholar

Research Interests

I specialize in Deep Learning, focusing on Medical Imaging, Foundation Models, and Generative AI. My work includes AI-driven diagnostics, X-ray analysis, sketch understanding, GAN-based augmentation, and AI applications in NFT fraud detection and valuation.

Research
2026
DentiAsk: A VQA Benchmark for Multimodal Reasoning in Panoramic Dental Radiographs New!
D.Jha, T. K. Dutta, R Paudel, O Susladkar, A Ghimire, A Dhakal, S Adhikari, N Yadav, D Nayak,P Pawar, W Chen, G Reynolds
arxiv 2025
[PDF] / [BibTeX] / [arXiv] / [Code] /
2025
SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models
S.Koley, T. K. Dutta, A. Sain, P.N. Chowdhury, A.K. Bhunia, Y-Z. Song
In Proc. IEEE / CVF Computer Vision and Pattern Recognition Conference ( CVPR ), 2025
[PDF] / [BibTeX] / [arXiv] / [Code] /
SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation
T. K. Dutta, S. Majhi, D. R. Nayak, D. Jha
In Proc. IEEE/CVF Winter Conference on Applications of Computer Vision ( WACV ), 2025
[PDF] / [BibTeX] / [arXiv] / [Code] /
Mamba Guided Boundary Prior Matters: Enhancing CNNs for Brain Tumor Segmentation
T. K. Dutta, S. Majhi, D. R. Nayak, D. Jha
In Proc. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 (Oral)
[Paper]
2024
GT-Net: global transformer network for multiclass brain tumor classification using MR images
T. K. Dutta, D. R. Nayak, R.M. Pachori
Biomedical Engineering Letters, vol. 14, no. 5, pp. 1069-1077, Springer
[PDF] / [BibTeX] / [arXiv] / [Code] /
2023
ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images
T. K. Dutta, D. R. Nayak, Y.D. Zhang
In Biomedical Signal Processing and Control, vol. 87, Elsevier
[PDF] / [BibTeX] / [arXiv] / [Code] /
2022
CDANet: Channel split dual attention based CNN for brain tumor classification in MR images
T. K. Dutta, D. R. Nayak
In 2022 IEEE international conference on image processing ICIP
[PDF] / [BibTeX] / [arXiv] / [Code] /
Reviewer
  • Conference: MICCAI, ACL
  • Journals: Array (Elsevier), Expert Systems With Applications(Elsevier), IEEE Conference on Artificial Intelligence, Franklin Open, Image and Vision Computing (Elsevier)