Luc Van Gool

TL;DR: The DISC model not only produces a central surface with the correctly modified lightness values of the original Kanizsa figure but also responds to variations of this figure such that it can distinguish between illusory and nonillusory configurations in a manner that is consistent with human perception.

TL;DR: In the newly introduced track, participants are asked to provide non-overlapping object proposals on each image, along with an identifier linking them between frames, without any test-time human supervision.

TL;DR: The overall architecture of the 3D MURALE system is described and the multimedia studio architecture adopted in this project with other multimedia studio architectures are compared.

TL;DR: The proposed CoTTA proposes to stochastically restore a small part of the neurons to the source pre-trained weights during each iteration to help preserve source knowledge in the longterm and demonstrates the effectiveness of the approach on four classification tasks and a segmentation task for continual test-time adaptation.

TL;DR: This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones and proposes solutions that significantly improved baseline results defining the state-of-the-art for image enhancement on smartphones.