activity
20182022
most citedVisual Attribute-augmented Three-dimensional Convolutional Neural Network for Enhanced Human Action Recognition

5 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Context Attention Network for Skeleton Extraction

Zixuan Huang, Yunfeng Wang, Zhiwen Chen +3

Skeleton extraction is a task focused on providing a simple representation of an object by extracting the skeleton from the given binary or RGB image. In recent years many attracti…

cs.CV2022★ 2 cited

MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Frames

Xiangyu Zhu, Tingting Liao, Jiangjing Lyu +6

In this paper, we consider a novel problem of reconstructing a 3D human avatar from multiple unconstrained frames, independent of assumptions on camera calibration, capture space,…

cs.CV2021★ 1 cited

Simple Baseline for Single Human Motion Forecasting

Chenxi Wang, Yunfeng Wang, Zixuan Huang +1

Global human motion forecasting is important in many fields, which is the combination of global human trajectory prediction and local human pose prediction. Visual and social infor…

cs.CV2020

Affinity-aware Compression and Expansion Network for Human Parsing

Xinyan Zhang, Yunfeng Wang, Pengfei Xiong

As a fine-grained segmentation task, human parsing is still faced with two challenges: inter-part indistinction and intra-part inconsistency, due to the ambiguous definitions and c…

cs.CV2018★ 3 cited

Low-Latency Human Action Recognition with Weighted Multi-Region Convolutional Neural Network

Yunfeng Wang, Wengang Zhou, Qilin Zhang +2

Spatio-temporal contexts are crucial in understanding human actions in videos. Recent state-of-the-art Convolutional Neural Network (ConvNet) based action recognition systems frequ…

cs.CV2018★ 5 cited

Visual Attribute-augmented Three-dimensional Convolutional Neural Network for Enhanced Human Action Recognition

Yunfeng Wang, Wengang Zhou, Qilin Zhang +1

Visual attributes in individual video frames, such as the presence of characteristic objects and scenes, offer substantial information for action recognition in videos. With indivi…