At the end of October, the VANDAL lab flew to Tel Aviv for attending the European Conference on Computer Vision (ECCV) 2022: a wonderful occasion to connect with brilliant researchers from all over the world! Discover the presented articles: Improving Generalization in Federated Learning by Seeking Flat Minima. Debora Caldarola*, Barbara Caputo, Marco Ciccone*. Read … Continue reading VANDALs in Tel Aviv for ECCV22
VANDALs @ CVPR 2022
Discover the new articles published by the VANDAL group to CVPR (Conference on Computer Vision and Pattern Recognition) 2022: Deep Visual Geo-localization Benchmark. Oral.Gabriele Berton, Riccardo Mereu, Gabriele Trivigno, Carlo Masone, Gabriela Csurka, Torsten Sattler, Barbara Caputo.E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition. Chiara Plizzari*, Mirco Planamente*, Gabriele Goletto, Marco Cannici, Emanuele Gusso, … Continue reading VANDALs @ CVPR 2022
VANDALs on the podium of the EPIC KITCHENS Challenge
EPIC-KITCHENS [1] is the largest-scale egocentric dataset collected by 32 participants in their native kitchen environments, and densely annotated with actions and object interactions (125 verb classes and 331 noun classes). The dataset is aligned with six challenges: action recognition (full and weak supervision), action detection, action anticipation, cross-modal retrieval (from captions), as well as … Continue reading VANDALs on the podium of the EPIC KITCHENS Challenge