FRQnet PBEEEI (2025) Google PhD Fellow (2023)
I work on label-efficient learning, prompt-based adaptation, and vision–language models for medical imaging (ophthalmology).
omprakash.chakraborty@livia.etsmtl.ca · omchakrabarty@gmail.com · Google Scholar
O. Chakraborty, A. Sahoo, R. Panda, A. Das.
XPL: A Cross-Model Framework for Semi-Supervised Prompt Learning in Vision-Language Models.
Transactions on Machine Learning Research (TMLR), 2024.
O. Chakraborty, A. Sahoo, R. Panda, A. Das.
AnyDA: Anytime Domain Adaptation.
International Conference on Learning Representations (ICLR), 2023.
O. Chakraborty, A. Singh, A. Varshney, R. Panda, R. Feris, K. Saenko, A. Das.
Semi-Supervised Action Recognition with Temporal Contrastive Learning.
CVPR, 2021.
O. Chakraborty, P. Mitra, S. K. Ghosh.
Multi-facilities based Road Network Analysis for Flood Hazard Management.
Journal of Spatial Science, 2019.
Full list on Google Scholar (add link when ready).
Efficient learning with limited labels and compute; semi-/self-supervised, prompt-based methods.
Parameter-efficient adaptation; robust prompts; medical imaging transfer.
Segmentation and detection across ORIGA, REFUGE, SYSU; domain shifts and calibration.
Anytime inference, dynamic computation, and resource-aware recognition.
Email: omprakash.chakraborty@livia.etsmtl.ca | omchakrabarty@gmail.com