zizhao wu

About zizhao wu

zizhao wu, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Hangzhou Dianzi University, specializes in the field of Computer Graphics, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi2Human: Controllable human image generation with multimodal controls

PointCMC: cross-modal multi-scale correspondences learning for point cloud understanding

Contrastive disentanglement for self-supervised motion style transfer

Recurrent Appearance Flow for Occlusion-Free Virtual Try-On

HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models

PU-GAT: Point cloud upsampling with graph attention network

Position‐aware spatio‐temporal graph convolutional networks for skeleton‐based action recognition

PCCNet: A Few-Shot Patch-Wise Contrastive Colorization Network

zizhao wu Information

University

Position

___

Citations(all)

427

Citations(since 2020)

358

Cited By

161

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

zizhao wu Skills & Research Interests

Computer Graphics

Artificial Intelligence

Top articles of zizhao wu

Multi2Human: Controllable human image generation with multimodal controls

Neurocomputing

2024/6/28

PointCMC: cross-modal multi-scale correspondences learning for point cloud understanding

2023/4/5

Xiaogang Peng
Xiaogang Peng

H-Index: 60

Zizhao Wu
Zizhao Wu

H-Index: 4

Contrastive disentanglement for self-supervised motion style transfer

Multimedia Tools and Applications

2024/1/30

Recurrent Appearance Flow for Occlusion-Free Virtual Try-On

ACM Transactions on Multimedia Computing, Communications and Applications

2024

HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models

arXiv preprint arXiv:2312.06553

2023/12/11

PU-GAT: Point cloud upsampling with graph attention network

Graphical Models

2023/12/1

Position‐aware spatio‐temporal graph convolutional networks for skeleton‐based action recognition

IET Computer Vision

2023/10

PCCNet: A Few-Shot Patch-Wise Contrastive Colorization Network

2023/8/28

Ping Yang
Ping Yang

H-Index: 2

Zizhao Wu
Zizhao Wu

H-Index: 4

The MI-Motion Dataset and Benchmark for 3D Multi-Person Motion Prediction

arXiv preprint arXiv:2306.13566

2023/6/23

Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space

arXiv preprint arXiv:2305.18797

2023/5/30

Structure-Aware Subspace Clustering

IEEE Transactions on Knowledge and Data Engineering

2023/2/28

Songcan Chen
Songcan Chen

H-Index: 41

Zizhao Wu
Zizhao Wu

H-Index: 4

Trajectory-aware body interaction transformer for multi-person pose forecasting

2023

Xiaogang Peng
Xiaogang Peng

H-Index: 60

Zizhao Wu
Zizhao Wu

H-Index: 4

PVT: Point‐voxel transformer for point cloud learning

International Journal of Intelligent Systems

2022/12

USTNet: Unsupervised Shape‐to‐Shape Translation via Disentangled Representations

Computer Graphics Forum

2022/10

Somoformer: Social-aware motion transformer for multi-person motion prediction

arXiv preprint arXiv:2208.09224

2022/8/19

Learning maximum entropy policies with qmix in cooperative marl

2022/5/27

Zizhao Wu
Zizhao Wu

H-Index: 4

Upsampling autoencoder for self-supervised point cloud learning

arXiv preprint arXiv:2203.10768

2022/3/21

Patchformer: An efficient point transformer with patch attention

2022

Graph-pbn: Graph-based parallel branch network for efficient point cloud learning

Graphical Models

2022/1/1

Controllable Facial Caricaturization With Localized Deformation and Personalized Semantic Attentions

IEEE Transactions on Multimedia

2021/9/10

See List of Professors in zizhao wu University(Hangzhou Dianzi University)