📝 Publications

CVPR 2024

DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation

Junming Chen, Yunfei Liu, Jianan Wang, Ailing Zeng, Yu Li, Qifeng Chen


  • We propose DiffSHEG, a Diffusion-based approach for Speech-driven Holistic 3D Expression and Gesture generation with arbitrary length.
  • Our diffusion-based co-speech motion generation transformer enables uni-directional information flow from expression to gesture, facilitating improved matching of joint expression-gesture distributions
ICCV 2023

MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions

Yunfei Liu, Lijian Lin, Fei Yu, Changyin Zhou, Yu Li


  • We propose a unified system for multi-person, diverse, and high-fidelity talking portrait video generation.
  • Extensive evaluations demonstrate that the proposed system produces more natural and realistic video portraits compared to previous methods.
TPAMI 2023

First- And Third-person Video Co-analysis By Learning Spatial-temporal Joint Attention

Huangyue Yu, Minjie Cai, Yunfei Liu, Feng Lu

Project | IF=17.730

  • We propose a multi-branch deep network, which extracts cross-view joint attention and shared representation from static frames with spatial constraints, in a self-supervised and simultaneous manner.
  • We demonstrate how the learnt joint information can benefit various applications.
CVPR 2022

GazeOnce: Real-Time Multi-Person Gaze Estimation

Mingfang Zhang, Yunfei Liu, Feng Lu


  • GazeOnce is the first one-stage endto-end gaze estimation method.
  • This unified framework not only offers a faster speed, but also provides a lower gaze estimation error compared with other SOTA methods.
ICCV 2021

Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation

Yunfei Liu*, Ruicong Liu*, Haofei Wang, Feng Lu


  • PnP-GA is an ensemble of networks that learn collaboratively with the guidance of outliers.
  • Existing gaze estimation networks can be directly plugged into PnP-GA and generalize the algorithms to new domains.
CVPR 2020

Unsupervised Learning for Intrinsic Image Decomposition from a Single Image

Yunfei Liu, Yu Li, Shaodi You, Feng Lu


  • USI3D is the first intrinsic image decomposition method that learns from uncorrelected image sets.
  • Academic Impact: This work is included by many low-level vision projects, such as Relighting4D , IntrinsicHarmony, DIB-R++. Discussions in Zhihu.
ECCV 2020

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Yunfei Liu, Xingju Ma, James Bailey, Feng Lu

[Project | (Citations 300+)]

  • We present a new type of backdoor attack: natural reflection phenomenon.
  • Academic Impact: This work is included by many backdoor attack/defense works, Such as NAD . This work is at the first place at google scholar .