In recent years, person re-identification (ReID) has received much attention since it is a
fundamental task in intelligent surveillance systems and has widespread application …

We introduce a novel network, called as CO-attention Siamese Network (COSNet), to
address the unsupervised video object segmentation task from a holistic view. We …

We propose a variational Bayesian scheme for pruning convolutional neural networks in
channel level. This idea is motivated by the fact that deterministic value based pruning …

Person re-identification (re-ID) has become increasingly popular in the community due to its
application and research significance. It aims at spotting a person of interest in other …

While video-based person re-identification (Re-ID) has drawn increasing attention and
made great progress in recent years, it is still very challenging to effectively overcome the …

Typical person re-identification (ReID) methods usually describe each pedestrian with a
single feature vector and match them in a task-specific metric space. However, the methods …

Person re-identification (ReID) is an important task in the field of intelligent security. A key
challenge is how to capture human pose variations, while existing benchmarks (ie …

This paper proposes the Global-Local Temporal Representation (GLTR) to exploit the multi-
scale temporal cues in video sequences for video person Re-Identification (ReID). GLTR is …

Abstract Person Re-Identification (person re-id) is a crucial task as its applications in visual
surveillance and human-computer interaction. In this work, we present a novel joint Spatial …