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20182021
most citedImproving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems

16 citations · 52 across the 7 of their papers we have counts for

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cs.CV2021

Detailed Avatar Recovery from Single Image

Hao Zhu, Xinxin Zuo, Haotian Yang +3

This paper presents a novel framework to recover \emph{detailed} avatar from a single image. It is a challenging task due to factors such as variations in human shapes, body poses,…

cs.CV20219 cited

Audio-Driven Emotional Video Portraits

Xinya Ji, Hang Zhou, Kaisiyuan Wang +4

Despite previous success in generating audio-driven talking heads, most of the previous studies focus on the correlation between speech content and the mouth shape. Facial emotion,…

cs.CV202016 cited

Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems

Kailai Zhou, Linsen Chen, Xun Cao

Multispectral pedestrian detection is capable of adapting to insufficient illumination conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of…

cs.CV202012 cited

FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction

Haotian Yang, Hao Zhu, Yanru Wang +4

In this paper, we present a large-scale detailed 3D face dataset, FaceScape, and propose a novel algorithm that is able to predict elaborate riggable 3D face models from a single i…

cs.CV201910 cited

Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation

Hao Zhu, Xinxin Zuo, Sen Wang +2

This paper presents a novel framework to recover detailed human body shapes from a single image. It is a challenging task due to factors such as variations in human shapes, body po…

cs.CV2018

View Extrapolation of Human Body from a Single Image

Hao Zhu, Hao Su, Peng Wang +2

We study how to synthesize novel views of human body from a single image. Though recent deep learning based methods work well for rigid objects, they often fail on objects with lar…