Salient object detection, which simulates human visual perception in locating the most
significant object (s) in a scene, has been widely applied to various computer vision tasks …

Estimation of the human pose from a monocular camera has been an emerging research
topic in the computer vision community with many applications. Recently, benefiting from the …

Kalman filter (KF) based methods for multi-object tracking (MOT) make an assumption that
objects move linearly. While this assumption is acceptable for very short periods of …

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 …

Multi-person pose estimation is fundamental to many computer vision tasks and has made
significant progress in recent years. However, few previous methods explored the problem …

Multi-object tracking is a fundamental vision problem that has been studied for a long time.
As deep learning brings excellent performances to object detection algorithms, Tracking by …

We tackle the challenging problem of human-object interaction (HOI) detection. Existing
methods either recognize the interaction of each human-object pair in isolation or perform …

We propose a single-stage Human-Object Interaction (HOI) detection method that has
outperformed all existing methods on HICO-DET dataset at 37 fps on a single Titan XP GPU …

Abstract Human-Object Interaction (HOI) Detection is an important problem to understand
how humans interact with objects. In this paper, we explore Interactiveness Knowledge …

Recent advances in deep neural networks have achieved significant progress in detecting
individual objects from an image. However, object detection is not sufficient to fully …