Publications

Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H.S. Torr, Puneet K. Dokania, Ser-Nam Lim (2023). Raising the Bar on the Evaluation of Out-of-Distribution Detection. In ICCV 2023, OOD-CV Workshop (Oral).

Jishnu Mukhoti, Yarin Gal, Philip H.S. Torr, Puneet K. Dokania (2023). Fine-tuning can cripple your foundation model; preserving features may be the solution. In TMLR (Featured Certfication).

Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H.S. Torr, Ser-Nam Lim (2023). Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. In CVPR 2023 (Highlight).

Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H.S. Torr, Yarin Gal (2023). Deep Deterministic Uncertainty: A New Simple Baseline. In CVPR 2023 (Highlight).

PDF Code Dataset

Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip H.S. Torr, Puneet K. Dokania (2020). Calibrating Deep Neural Networks using Focal Loss. In NeurIPS, 2020.

PDF Code Project