Omprakash Chakraborty

2026

• June:
  Paper accepted at ECCV 2026 — QaTS: Quantile-Adaptive Temperature Scaling for Confidence Calibration.
  Paper accepted at MICCAI 2026 — IMaX: Information Maximization for Long-Tailed Semi-Supervised Domain Generalization.
• Feb: Two papers accepted at CVPR 2026 — ORION: ORthonormal Text Encoding for Universal VLM AdaptatION and Semantic Orthogonal Calibration (SoC).

2024

• Nov: TMLR paper accepted — XPL: Semi-Supervised Prompt Learning for VLMs.
• Jun: Received Nasscom AI Gamechangers recognition.

2023

• May: ICLR paper — AnyDA: Anytime Domain Adaptation.
• Apr: Awarded Google PhD Fellowship.
• Jan: Received INSC Young Researcher Award.

O. Chakraborty, J. Dolz, I. Ben Ayed
ORION: ORthonormal Text Encoding for Universal VLM AdaptatION.
CVPR, 2026.

L. Fillioux, O. Chakraborty, I. Ben Ayed, P.H. Cournède, S. Christodoulidis, M. Vakalopoulou, J. Dolz.
SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning.
CVPR, 2026.

L. Fillioux, O. Chakraborty, I. Ben Ayed, P.H. Cournède, S. Christodoulidis, M. Vakalopoulou, J. Dolz.
Information Maximization for Long-Tailed Semi-Supervised Domain Generalization.
MICCAI, 2026.

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.