Xiao Guo

Xiao Guo (郭晓)

I am an Applied Scientist in Amazon Trust & Store Integrity (TSI), working on forgery detection for seller verification. I received my Ph.D. in Computer Science from Michigan State University, where I was a member of the Computer Vision Lab, advised by Prof. Xiaoming Liu, and worked closely with Prof. Anil K. Jain. Before that, I spent several years as a Research Programmer at USC/ISI, working with Prof. Iacopo Masi and Prof. Wael AbdAlmageed. I received my M.S. and B.S. degrees from the University of Southern California and Wuhan University of Technology, respectively.

I have contributed to several major U.S. government-sponsored research projects, including MediFor, ODIN, and RED.

My research interests include:

Multi-modal Learning and Vision-Language Model: FusionAgent (CVPR26), M2F2-Det (CVPR25-oral), DDVQA-BLIP (ECCV24), and MM-Det (NeurIPS24).
Image Generative Model: DenseFace (ArXiv24).
Responsible AI, e.g., Deepfake/Anti-spoofing: HiFi-Net (CVPR23), HiFi-Net++ (IJCV24), and FAS-Wrapper (ECCV22-oral)

Email / CV / Scholar / Github

News:

2026-06: Interviewed as a “Researcher on the Rise” by the IEEE Biometrics Council Newsletter.
2026-02: Two papers are accepted to CVPR 2026.
2026-01: Gave an online lecture for the Vision and Language class at UNC-Chapel Hill.
2025-10: Two papers are accepted to WACV 2026.
2025-06: One paper is accepted to ICCV 2025, and I attended the ICCV 2025 Doctoral Consortium.
2025-03: Our M2F2-Det is selected as an oral presentation at CVPR 2025.
2024-10: Our HiFi-Net++ is accepted to IJCV 2025.
2024-09: Two papers, MM-Det and LGPN, are accepted to NeurIPS 2024.
2024-09: Completed my internship at Amazon One.
2023-09: Completed my internship at Amazon Alexa.
2022-05: Our ECCV 2022 paper is selected as an oral presentation.

Selected Publications:

M2F2-Det teaser

Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector
Xiao Guo, Xiufeng Song, Yue Zhang, Xiaohong Liu, Xiaoming Liu
CVPR, 2025
Oral Presentation · 0.7% of total submissions
project page / code

/ arXiv

Formulating a deepfake detection task with Large Language Models.

HiFi-Net teaser

Hierarchical FineGrained Image Forgery Detection and Localization
Xiao Guo, Xiaohong Liu, Zhiyuan Ren, Steven Grosz, Iacopo Masi, Xiaoming Liu
CVPR, 2023; extended version in IJCV, 2025 (IF=11.6)
code

/ arXiv

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

MDFAS teaser

Multi-domain Learning for Updating Face Anti-spoofing Models
Xiao Guo, Yaojie Liu, Anil Jain, Xiaoming Liu
ECCV, 2022
Oral Presentation · 2.3% of total submissions
code GitHub stars

GitHub stars

/ arXiv

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

Relation extraction teaser

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

Other Publications:


	FusionAgent: A Multimodal Agent with Dynamic Model Selection for Human Recognition Jie Zhu, Xiao Guo, Yiyang Su, Anil Jain, Xiaoming Liu CVPR, 2026 code / arXiv A MLLM agent to dynamically select the optimal model combination per sample, achieving robust and explainable human recognition via adaptive score fusion.

	Common Sense Reasoning for Deepfake Detection Yue Zhang, Ben Colman, Xiao Guo, Ali Shahriyari, Gaurav Bharaj ECCV, 2024 code / arXiv Fine-tuning BLIP for deepfake detection VQA.
	On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection Xiufeng Song, Xiao Guo, others , Xiaoming Liu Guangtao Zhai, Xiaohong Liu NeurIPS, 2024 code / arXiv A forgery video detection method based the LLama-2.
	Language-guided Hierarchical Finegrained Image Forgery Detection and Localization Xiao Guo, Xiaohong Liu, Iacopo Masi, Xiaoming Liu IJCV, 2025 code / arXiv Image Forgery Detection and Localization; An extension work of HiFi-Net (CVPR23).
	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.
	Dense-Face: Personalized Face Generation Model via Dense Annotation Prediction Xiao Guo, Manh Tran, Jiaxin Cheng, Xiaoming Liu arXiv, 2024 project page / code / arXiv A personalized face generation T2I diffusion model via dense landmarks prediction.
	Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP Xiao Guo, Zhimin Chen, Carlos D. Castillo, Hongcheng Wang, Xiaoming Liu WACV, 2026 arXiv Semantic-aware representations for few-shot anomaly detection with CLIP.
	Human motion prediction via learning local structure representations and temporal dependencies Xiao Guo, Jongmoo Choi AAAI 2019 code / 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.