Person clustering with multi-modal clues, including faces, bodies, and
v...
Generating realistic human motion from given action descriptions has
exp...
Human intelligence can retrieve any person according to both visual and
...
Human-centric perceptions include a variety of vision tasks, which have
...
Human-centric perceptions (e.g., pose estimation, human parsing, pedestr...
Self-supervised learning holds promise in leveraging large numbers of
un...
Generalizing learned representations across significantly different visu...
Occluded person re-identification (ReID) aims at matching occluded perso...
The pretrain-finetune paradigm is a classical pipeline in visual learnin...
Recent years have witnessed significant progress in person re-identifica...
Deep neural networks achieve state-of-the-art and sometimes super-human
...
Knowledge distillation aims to transfer representation ability from a te...
Human beings can quickly adapt to environmental changes by leveraging
le...
With the explosion of digital data in recent years, continuously learnin...
Real-world object detectors are often challenged by the domain gaps betw...