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 …

Inferring human pose from a monocular RGB image remains an interesting field of research
in computer vision. It serves as a fundamental key for many real-world applications …

Video object segmentation (VOS) aims at segmenting a particular object throughout the
entire video clip sequence. The state-of-the-art VOS methods have achieved excellent …

Research on depth-based human activity analysis achieved outstanding performance and
demonstrated the effectiveness of 3D representation for action recognition. The existing …

Despite the great progress in 3D human pose estimation from videos, it is still an open
problem to take full advantage of a redundant 2D pose sequence to learn representative …

Despite great progress in 3D pose estimation from single-view images or videos, it remains
a challenging task due to the substantial depth ambiguity and severe self-occlusions …

In this work, we address the challenging issue of scene segmentation. To increase the
feature similarity of the same object while keeping the feature discrimination of different …

Despite the great progress in human motion prediction, it remains a challenging task due to
the complicated structural dynamics of human behaviors. In this paper, we address this …

We introduce a simple and effective network architecture for monocular 3D hand pose
estimation consisting of an image encoder followed by a mesh convolutional decoder that is …

Abstract We propose a Unified Pose Sequence Modeling approach to unify heterogeneous
human behavior understanding tasks based on pose data, eg, action recognition, 3D pose …