Abstract Person Re-Identification (ReID) is an essential technology for matching a person
across non-overlapping cameras. It has attracted increasing attention in recent years due to …

In this paper, we introduce a large Multi-Attribute and Language Search dataset for text-
based person retrieval, called MALS, and explore the feasibility of performing pre-training on …

Despite significant progress over the past few years, ambiguity is still a key challenge in
Facial Expression Recognition (FER). It can lead to noisy and inconsistent annotation, which …

Occlusion perturbation presents a significant challenge in person re-identification (re-ID),
and existing methods that rely on external visual cues require additional computational …

Bridging the semantic gap between image and question is an important step to improve the
accuracy of the Visual Question Answering (VQA) task. However, most of the existing VQA …

Music-driven choreography is a challenging problem with a wide variety of industrial
applications. Recently, many methods have been proposed to synthesize dance motions …

The Transformer has been applied into computer vision to explore long-range
dependencies with multi-head self-attention strategy, therefore numerous Transformer …

Person re-identification (Re-ID) aims to search for the same pedestrian in different cameras,
which is a crucial research direction in pattern recognition. Recent deep learning methods …

Partial person re-identification (ReID) aims to solve the problem of image spatial
misalignment due to occlusions or out-of-views. Despite significant progress through the …

Human emotion recognition is an active research area in artificial intelligence and has made
substantial progress over the past few years. Many recent works mainly focus on facial …