Xiao Guo

I am a final-year Ph.D. student in the CVLab of Michigan State University, advised by Prof. Xiaoming Liu. Before that, I spent years as a research programmer at USC/ISI, advised by Prof. Iacopo Masi and Prof. Wael AbdAlmageed. I obtain my master and bachelor at the University of Southern California and Wuhan University of Technology, respectively.

I have been a main contributor to several major U.S. government-sponsored projects, including MediFor, ODIN, and RED. In addition, I spent two wonderful summer as an intern at Amazon in 2023 and 2024, working with Dr. Yue Rex Wu and Dr. Hongcheng Wang, respectively.

My research interests include:

Email  /  CV  /  Scholar  /  Github

profile photo

News:

  • 2025-06: One co-authored paper is accepted by ICCV25.
  • 2025-03: Our M2F2-Det is selected as an oral presentation (0.7% rate in the total submissions).
  • 2025-02: Our M2F2-Det is accepted by CVPR25.
  • 2024-12: Our DenseFace is posted on ArXiv.
  • 2024-10: Our HiFi-Net++ is accepted by IJCV25.
  • 2024-09: Two works (MM-Det and LGPN) are accepted by NeurIPS24.
  • 2024-09: Completed my internship at Amazon One!
  • 2023-09: Completed my internship at Amazon Alexa!

Selected Publications:

Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector
Xiao Guo, Xiufeng Song, Yue Zhang, Xiaohong Liu, Xiaoming Liu
CVPR (Oral Presentation), 2025
project page / codeGitHub stars / arXiv

Formulating a deepfake detection task with Large Language Model.

Dense-Face: Personalized Face Generation Model via Dense Annotation Prediction
Xiao Guo, Manh Tran, Jiaxin Cheng, Xiaoming Liu
arXiv, 2024
project page / code GitHub stars / arXiv

A personalized face generation T2I diffusion model via dense landmarks prediction.

Hierarchical FineGrained Image Forgery Detection and Localization
Xiao Guo, Xiaohong Liu, Zhiyuan Ren, Steven Grosz, Iacopo Masi, Xiaoming Liu
CVPR, 2023
code GitHub stars / arXiv

An image forgery detection and localization method for both digital manipulation and image editing domains.

Multi-domain Learning for Updating Face Anti-spoofing Models
Xiao Guo, Yaojie Liu, Anil Jain, Xiaoming Liu
ECCV (Oral Presentation), 2022
codeGitHub stars / arXiv

A new model for multi-domain face anti-spoofing, which addresses the forgetting issue when learning new domain data.

Discourse-level Relation Extraction via Graph Pooling
I-Hung Hsu, Xiao Guo, Prem Natarajan, Nanyun Peng
AAAI Workshop on Deep Learning on Graphs (Best Paper Award), 2022
arXiv / Workshop Page

Other Publications:

Language-guided Hierarchical Finegrained Image Forgery Detection and Localization
Xiao Guo, Xiaohong Liu, Iacopo Masi, Xiaoming Liu
IJCV, 2024
codeGitHub stars / arXiv

Image Forgery Detection and Localization; An extension work of HiFi-Net (CVPR23).

On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
Xiufeng Song, Xiao Guo, others , Xiaoming Liu Guangtao Zhai, Xiaohong Liu
NeurIPS, 2024
codeGitHub stars / arXiv

A forgery video detection method based the LLama-2.

Common Sense Reasoning for Deepfake Detection
Yue Zhang, Ben Colman, Xiao Guo, Ali Shahriyari, Gaurav Bharaj
ECCV, 2024
codeGitHub stars / arXiv

Fine-tuning BLIP for deepfake detection VQA.

Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
Xiao Guo, Vishal Asnani, Sijia Liu, Xiaoming Liu
NeurIPS, 2024
arXiv

Introduce a learnable graph pooling network for the model parsing.

Human motion prediction via learning local structure representations and temporal dependencies
Xiao Guo, Jongmoo Choi
AAAI 2019
codeGitHub stars / arXiv

Academic Services:

I regularly review papers for the following conferences and journals:

  • Conferences: CVPR, ICCV, ECCV, AAAI, NeurIPS, ICLR, etc.
  • Journals: T-PAMI, IJCV, TIFS, etc.