Dokania, Puneet

9 publications

ECCV 2024 On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi, Puneet Dokania

ECCV 2024 Placing Objects in Context via Inpainting for Out-of-Distribution Segmentation Pau de Jorge Aranda, Riccardo Volpi, Puneet Dokania, Philip Torr, Gregory Rogez

NeurIPS 2022 Make Some Noise: Reliable and Efficient Single-Step Adversarial Training Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip Torr, Gregory Rogez, Puneet Dokania

NeurIPS 2022 Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness Francesco Pinto, Harry Yang, Ser Nam Lim, Philip Torr, Puneet Dokania

AISTATS 2021 Mirror Descent View for Neural Network Quantization Thalaiyasingam Ajanthan, Kartik Gupta, Philip Torr, Richad Hartley, Puneet Dokania

NeurIPS 2021 A Continuous Mapping for Augmentation Design Keyu Tian, Chen Lin, Ser Nam Lim, Wanli Ouyang, Puneet Dokania, Philip Torr

NeurIPS 2020 Calibrating Deep Neural Networks Using Focal Loss Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip Torr, Puneet Dokania

NeurIPS 2020 Continual Learning in Low-Rank Orthogonal Subspaces Arslan Chaudhry, Naeemullah Khan, Puneet Dokania, Philip Torr

ICML 2016 Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet Dokania, Simon Lacoste-Julien