Amodal object segmentation is a challenging task that involves segmentin...
Person Re-IDentification (Re-ID) as a retrieval task, has achieved treme...
Cloth-changing person Re-IDentification (Re-ID) is a particularly challe...
Semantic neural decoding aims to elucidate the cognitive processes of th...
Auto-Regressive (AR) models have achieved impressive results in 2D image...
With the wide applications of deep neural network models in various comp...
Conventional 3D object detection approaches concentrate on bounding boxe...
This paper studies the task of conditional Human Motion Animation (cHMA)...
To counter the outbreak of COVID-19, the accurate diagnosis of suspected...
Person re-identification (Re-ID) aims to match a target person across ca...
Person re-identification (Reid) is now an active research topic for AI-b...
Deep Convolutional Neural Networks (CNN) has achieved significant succes...
Person Re-identification (re-id) faces two major challenges: the lack of...
Person Re-identification (re-id) aims to match people across non-overlap...