I am a Researcher at International Digital Economy Academy (IDEA). I am now working on talking head generation, face tracking, and video content generation research. If you are seeking any form of academic cooperation, please feel free to email me at liuyunfei@idea.edu.cn.

I got my Ph.D. degree from Beihang University, advised by Prof. Feng Lu. Previously, I received my BSc degree in Computer Science from Beijing Institute of Technology in 2017.

My research interests include the intersection of machine learning, deep learning, pattern recognition, and statistical modeling/inference with applications for computer vision, computational photography, low-level vision, human-computer interaction, and AR/MR.

I serve as a reviewer for international conferences and journals, e.g., CVPR, ICCV, NeuIPS, ACM MM, TPAMI, IJCV, PR, TVCG, etc..

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🔥 News

• [August, 2024]: I will serve as a Program Committee for AAAI 2025.
• [July, 2024]: One paper is accepted to ECCV 2024.
• [February, 2024]: 🎉 Two CVPR papers have been accepted.
• [Jan, 2024]:  🎉 Our GPAvatar has been accepted to ICLR 2024.
• [December, 2023]:  🎉 Our PnP-GA+ has been accepted by TPAMI.
• [July, 2023]:  🎉 Two ICCV papers have been accepted.
• [June, 2023]:  🎉 One TPAMI paper has been published.
• [April, 2023]:  🎉 One CVMJ paper has been accepted.
• [Mar, 2022]:  🎉 Two CVPR papers have been accepted.

📝 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

Project

• 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

Project

• 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

Project

• 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

Project

• 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

Project

• 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 .

• ECCV 2024 AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes, Dongxu Yue, Maomao Li, Yunfei Liu, Ailing Zeng, Tianyu Yang, Qin Guo, Yu Li
• CVPR 2024 A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing, Maomao Li, Yu Li, Tianyu Yang, Yunfei Liu, Dongxu Yue, Zhihui Lin, Dong Xu
• ICLR 2024 GPAvatar: Generalizable and Precise Head Avatar from Image(s), Xuangeng Chu, Yu Li, Ailing Zeng, Tianyu Yang, Lijian Lin, Yunfei Liu, Tatsuya Harada
• PRCV 2024 Visibility Enhancement for Low-light Hazy Scenarios, Chaoqun Zhuang, Yunfei Liu, Sijia Wen, Feng Lu.
• ICCV 2023 Accurate 3D Face Reconstruction with Facial Component Tokens, Tianke Zhang, Xuangeng Chu, Yunfei Liu, Lijian Lin, Zhendong Yang, et al..
• CVMJ 2023 Discriminative feature encoding for intrinsic image decomposition, Zhongji Wang, Yunfei Liu, Feng Lu.
• CVPR 2022 Generalizing Gaze Estimation with Rotation Consistency, Yiwei Bao, Yunfei Liu, Haofei Wang, Feng Lu.
• IEEE-VR 2022 Reconstructing 3D Virtual Face with Eye Gaze from a Single Image, Jiadong Liang, Yunfei Liu, Feng Lu. [Oral]
• TOMM 2022 Semantic Guided Single Image Reflection Removal, Yunfei Liu, Yu Li, Shaodi You, Feng Lu, GitHub.
• arXiv 2022 Jitter Does Matter: Adapting Gaze Estimation to New Domains, Mingjie Xu, Haofei Wang, Yunfei Liu, Feng Lu.
• ISAMR 2021 3D Photography with One-shot Portrait Relighting, Yunfei Liu, Sijia Wen, Feng Lu.
• ISAMR 2021 Edge-Guided Near-Eye Image Analysis for Head Mounted Displays, Zhimin Wang*, Yuxin Zhao*, Yunfei Liu, Feng Lu. [Oral] GitHub, Demo video
• BMVC 2021 Separating Content and Style for Unsupervised Image-to-Image Translation, Yunfei Liu, Haofei Wang, Yang Yue, Feng Lu. GitHub.
• arXiv 2021 Unsupervised Two-Stage Anomaly Detection, Yunfei Liu, Chaoqun Zhuang, Feng Lu, GitHub.
• arXiv 2021 Cloud Sphere: A 3D Shape Representation via Progressive Deformation, Zongji Wang, Yunfei Liu, Feng Lu.
• arXiv 2021 Vulnerability of Appearance-based Gaze Estimation, Mingjie Xu, Haofei Wang, Yunfei Liu, Feng Lu.
• AAAI 2020 Separate In Latent Space: Unsupervised Single Image Layer Separation, Yunfei Liu, Feng Lu. GitHub [Oral]
• ICPR 2020 Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets, Yiwei Bao, Yihua Cheng, Yunfei Liu, Feng Lu. GitHub.
• ACM-MM 2019 What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis, Huangyue Yu, Minjie Cai, Yunfei Liu, Feng Lu.

🎖 Honors and Awards

• Shenzhen Artificial Intelligence Natural Science Award, 2023

• Shenzhen Pengcheng special talent award, 2023

ICCV 2019 Workshop

Winner of Hyperspectral City Challenge 1.0, Rank: 1.

Yunfei Liu

Project

• Adopt adopts multi-channel multi-spectum data to guide semantic segmentation for cityscapes.

CADC 2015

Vertical Take-Off and Landing (VTOL) track. First prize

Yunfei Liu, Changjing Wang, Chao Ma, Haonan Zheng, Yongzhen Pan.

Project

• China Aeromodelling Design Challenge. Vertical Take-Off and Landing (VTOL) track. First prize, Rank: 6/70.

• 2021.10 National Scholarship.
• 2021.11 Principal scholarship.

📖 Educations

• 2017.09 - 2022.11, Beihang University, School of Computer Science and Engineering, State Key Labratory of Virtual Reality Technology and Systems.
• 2013.08 - 2017.06, Beijing Insitute of Technology, School of Computer Science and Technology.

💬 Invited Talks

• 2021.06, Visual intelligence for enhanced perception, Huawei internal talk
• 2021.06, Digital Image Processing, Beihang international class
• 2020.06, Deep learning interpretability, Meituan internal talk

💻 Internships

• 2022.03 - 2022.10, IDEA, Vistring Lab, Shenzhen, China.
• 2016.07 - 2017.05, DJI, Visual Perception Group, Shenzhen, China.