325 citations · 707 across the 14 of their papers we have counts for
14 papers
Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function
Yunze Xiao, Hao Zhu, Haotian Yang +3
Recovering detailed facial geometry from a set of calibrated multi-view images is valuable for its wide range of applications. Traditional multi-view stereo (MVS) methods adopt an…
MoFaNeRF: Morphable Facial Neural Radiance Field
Yiyu Zhuang, Hao Zhu, Xusen Sun +1
We propose a parametric model that maps free-view images into a vector space of coded facial shape, expression and appearance with a neural radiance field, namely Morphable Facial…
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,…
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation
Haojie Liu, Ming Lu, Zhiqi Chen +3
Recent years have witnessed rapid advances in learnt video coding. Most algorithms have solely relied on the vector-based motion representation and resampling (e.g., optical flow b…
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,…
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…
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Haojie Liu, Ming Lu, Zhan Ma +4
Over the past two decades, traditional block-based video coding has made remarkable progress and spawned a series of well-known standards such as MPEG-4, H.264/AVC and H.265/HEVC.…
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…
Neural Image Compression via Non-Local Attention Optimization and Improved Context Modeling
Tong Chen, Haojie Liu, Zhan Ma +3
This paper proposes a novel Non-Local Attention optmization and Improved Context modeling-based image compression (NLAIC) algorithm, which is built on top of the deep nerual networ…
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…
Non-local Attention Optimized Deep Image Compression
Haojie Liu, Tong Chen, Peiyao Guo +4
This paper proposes a novel Non-Local Attention Optimized Deep Image Compression (NLAIC) framework, which is built on top of the popular variational auto-encoder (VAE) structure. O…
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…
Multispectral Focal Stack Acquisition Using A Chromatic Aberration Enlarged Camera
Qian Huang, Yunqian Li, Linsen Chen +5
Capturing more information, e.g. geometry and material, using optical cameras can greatly help the perception and understanding of complex scenes. This paper proposes a novel metho…
Multispectral Image Intrinsic Decomposition via Low Rank Constraint
Qian Huang, Weixin Zhu, Yang Zhao +4
Multispectral images contain many clues of surface characteristics of the objects, thus can be widely used in many computer vision tasks, e.g., recolorization and segmentation. How…