4 accepted papers
Fair regression methods typically rely on squared error loss, making them fragile under heavy tailed noise. We propose a general framework for robust regression under demographic parity (DP) that applies to a wide class of M-estimators, including Cauchy, Huber, least absolute deviation, quantile, an…
Image harmonization is an essential technique in computer vision, aiming to generate visually consistent composite images by making the foreground compatible with the background. However, current methods primarily focus on applying a global transformation perspective, overlooking the fact that diffe…
To extract crucial local features and enhance the complementary relation between local and global features, this paper proposes a Weakly Supervised Local-Global Relation Network (WS-LGRN), which uses the attention mechanism to deal with part location and feature fusion problems. Firstly, the Attenti…
Research shows that the facial expression recognition is strongly related to the person's identity. This paper presents an expression-identity fusion network to address the great inter-subject variations in facial expression recognition. The model is designed to jointly learn identity-related featur…