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20182022
most citedSimple Baseline for Single Human Motion Forecasting

1 citations · 1 across the 3 of their papers we have counts for

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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.CV20211 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

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

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…