Progressive Skeletonization: Trimming more fat from a network at initialization. - Pau de Jorge; Amartya Sanyal; Harkirat S. Behl; Philip H. S. Torr; Grégory Rogez; Puneet K. Dokania (ICLR, 2021)

On the Road to Online Adaptation for Semantic Image Segmentation. - Riccardo Volpi; Pau de Jorge; Diane Larlus; Gabriela Csurka (CVPR, 2022)

Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. - Pau de Jorge Aranda; Adel Bibi; Riccardo Volpi; Amartya Sanyal; Philip H. S. Torr; Grégory Rogez; Puneet K. Dokania (NeurIPS, 2022)

Catastrophic overfitting is a bug but also a feature. - Guillermo Ortiz-Jiménez; Pau de Jorge; Amartya Sanyal; Adel Bibi; Puneet K. Dokania; Pascal Frossard; Grégory Rogez; Philip H. S. Torr (CoRR, 2022)

Reliability in Semantic Segmentation: Are we on the Right Track? - Pau de Jorge; Riccardo Volpi; Philip H. S. Torr; Grégory Rogez (CVPR, 2023)

Catastrophic overfitting can be induced with discriminative non-robust features. - Guillermo Ortiz-Jiménez; Pau de Jorge; Amartya Sanyal; Adel Bibi; Puneet K. Dokania; Pascal Frossard; Grégory Rogez; Philip Torr 001 (Trans. Mach. Learn. Res., 2023)

Placing Objects in Context via Inpainting for Out-of-Distribution Segmentation. - Pau de Jorge; Riccardo Volpi; Puneet K. Dokania; Philip H. S. Torr; Grégory Rogez (ECCV (45), 2024)

A Survey on Transferability of Adversarial Examples Across Deep Neural Networks. - Jindong Gu; Xiaojun Jia; Pau de Jorge; Wenqian Yu; Xinwei Liu; Avery Ma; Yuan Xun; Anjun Hu; Ashkan Khakzar; Zhijiang Li; Xiaochun Cao; Philip Torr 001 (Trans. Mach. Learn. Res., 2024)

DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers. - Mert Bülent Sariyildiz; Philippe Weinzaepfel; Thomas Lucas 002; Pau de Jorge; Diane Larlus; Yannis Kalantidis (CVPR, 2025)