Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …

Existing inpainting methods have achieved promising performance in recovering defected
images of specific scenes. However, filling holes involving multiple semantic categories …

This paper studies the challenging person re-identification (Re-ID) task under the cloth-
changing scenario, where the same identity (ID) suffers from uncertain cloth changes. To …

With the rapid growth of in-the-wild videos taken by non-specialists, blind video quality
assessment (VQA) has become a challenging and demanding problem. Although lots of …

Interpolating video frames involving large motions remains an elusive challenge. In case
that frames involve small and fast-moving objects, conventional feed-forward neural network …

Frequent object counting at a specific location (FOC@ Loc) is becoming a newly emerging
but highly demanded task since the evolution of human activities can provide crucial …

We present Edge-aware Context Encoder (E-CE): an image inpainting model which takes
scene structure and context into account. Unlike previous CE which predicts the missing …

Person search is a time-consuming computer vision task that entails locating and
recognizing query people in scenic pictures. Body components are commonly mismatched …

Dynamic texture refers to the content in video sequences that is characterized by spatial
repetition and temporal variation, such as swaying foliage and flowing water. It is a great …

Deep learning improves the performance of crowd counting, but model migration remains a
tricky challenge. Due to the reliance on training data and inherent domain shift, model …