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.

O. Chakraborty, L. Fillioux, I. Ben Ayed, J. Dolz.
Quantile‑Adaptive Temperature Scaling for Confidence Calibration.
ECCV, 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.