Federated Learning (FL) enables multiple clients to collaboratively lear...
Text-based Person Search (TBPS) aims to retrieve the person images using...
Federated learning (FL) has drawn increasing attention owing to its pote...
Color-guided depth super-resolution (DSR) is an encouraging paradigm tha...
Text-to-image person retrieval aims to identify the target person based ...
This paper studies a novel privacy-preserving anonymization problem for
...
Audio-visual speaker diarization aims at detecting “who spoken when“ usi...
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzin...
Deep hamming hashing has gained growing popularity in approximate neares...
RGB-Infrared person re-identification (RGB-IR Re-ID) aims to match perso...
Visible-infrared person re-identification (VI-ReID) is a challenging
cro...
Person re-identification (Re-ID) aims at retrieving a person of interest...
This paper studies the unsupervised embedding learning problem, which
re...
Label estimation is an important component in an unsupervised person
re-...