9 accepted papers
Face recognition plays a crucial role in human life, prompting numerous excellent research efforts. However, face recognition in real-world applications presents various scenarios such as occluded, overexposed and near-infrared face recognition. Due to domain discrepancy and a lack of large-scale tr…
In the big data era, the computer vision field benefits from large-scale datasets such as LAION-2B, LAION-400M, and ImageNet-21K, Kinetics, on which popular models like the ViT and ConvNeXt series have been pre-trained, acquiring substantial knowledge. However, numerous downstream tasks in speciali…
Handwritten Chinese text recognition (HCTR) is challenging due to its thousand of characters, diverse writing styles, and ambiguous segmentation. Currently, methods based on connectionist temporal classification (CTC) are widely used, while its independent decoding nature makes it unable to leverage…
Catastrophic forgetting and the stability-plasticity dilemma are two major obstacles to continual learning. In this paper we first propose a theoretical analysis of a SPCA-based continual learning algorithm using high dimensional statistics. Second, we design OSCL (Optimized Spca-based Continual Le…
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…
Visual surface inspection is a challenging task due to the highly inconsistent appearance of the target surfaces and the abnormal regions. Most of the state-of-the-art methods are highly dependent on the labelled training samples, which are difficult to collect in practical industrial applications.…
In view of animated human computer interfaces, this paper proposes a 3D head mesh modeling and expressive articulatory animation system. The appearance mesh model is first reconstructed from multi-view visible images using inter-regional cooperative optimization and depth super-resolution, and the u…
Light field cameras have been recently shown to be very effective in applications such as multifocusing and 3D reconstruction. These cameras can provide depth cues from both defocus and correspondence in a single snapshot. In this paper, we present a fast response aggregation framework for depth est…