activity
20192025
most citedChoreoNet: Towards Music to Dance Synthesis with Choreographic Action Unit

57 citations · 124 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2025

FDRMFL: Multimodal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning

Haozhe Wu

We propose FDRMFL, a task-driven multimodal feature extraction framework for federated regression under non-IID data distributions. Extracting predictive features from high-dimensi…

cs.CV2024

DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance

Zixuan Wang, Jia Jia, Shikun Sun +6

Choreographers determine what the dances look like, while cameramen determine the final presentation of dances. Recently, various methods and datasets have showcased the feasibilit…

cs.CV2023★ 6 cited

Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space

Haoyu Wang, Haozhe Wu, Junliang Xing +1

Creating realistic 3D facial animation is crucial for various applications in the movie production and gaming industry, especially with the burgeoning demand in the metaverse. Howe…

cs.CV2023★ 1 cited

Speech-Driven 3D Face Animation with Composite and Regional Facial Movements

Haozhe Wu, Songtao Zhou, Jia Jia +3

Speech-driven 3D face animation poses significant challenges due to the intricacy and variability inherent in human facial movements. This paper emphasizes the importance of consid…

cs.CV2023

Shuffled Autoregression For Motion Interpolation

Shuo Huang, Jia Jia, Zongxin Yang +4

This work aims to provide a deep-learning solution for the motion interpolation task. Previous studies solve it with geometric weight functions. Some other works propose neural net…

cs.CV2023★ 2 cited

MMFace4D: A Large-Scale Multi-Modal 4D Face Dataset for Audio-Driven 3D Face Animation

Haozhe Wu, Jia Jia, Junliang Xing +3

Audio-Driven Face Animation is an eagerly anticipated technique for applications such as VR/AR, games, and movie making. With the rapid development of 3D engines, there is an incre…

cs.CV2021★ 50 cited

Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis

Haozhe Wu, Jia Jia, Haoyu Wang +3

People talk with diversified styles. For one piece of speech, different talking styles exhibit significant differences in the facial and head pose movements. For example, the "exci…

cs.HC2021★ 1 cited

PTeacher: a Computer-Aided Personalized Pronunciation Training System with Exaggerated Audio-Visual Corrective Feedback

Yaohua Bu, Tianyi Ma, Weijun Li +12

Second language (L2) English learners often find it difficult to improve their pronunciations due to the lack of expressive and personalized corrective feedback. In this paper, we…

cs.CV2020★ 57 cited

ChoreoNet: Towards Music to Dance Synthesis with Choreographic Action Unit

Zijie Ye, Haozhe Wu, Jia Jia +4

Dance and music are two highly correlated artistic forms. Synthesizing dance motions has attracted much attention recently. Most previous works conduct music-to-dance synthesis via…

cs.CV2020★ 6 cited

Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization

Zijie Zhuang, Longhui Wei, Lingxi Xie +5

The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras. It strongly demands costly inter-camera annotations, yet…

cs.SI2019★ 1 cited

Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction

Haozhe Wu, Zhiyuan Hu, Jia Jia +3

Online Social Networks (OSNs) evolve through two pervasive behaviors: follow and unfollow, which respectively signify relationship creation and relationship dissolution. Researches…