Qiaomu Miao
About Me
Hi! I am Qiaomu Miao, a Ph.D. candidate in the Department of Computer Science at Stony Brook University, advised by Prof. Dimitris Samaras and Prof. Minh Hoai. My research interest is Computer Vision and Deep Learning, specifically in human gaze estimation and pose estimation. I also have experience in multi-view analyses, diffusion models, and vision-language models. I obtained my Bachelor and Master’s degrees in Computer Science at Tianjin University. During my Master’s study, I investigated the cognitive neural mechanisms of human vision.
Contact: qiamiao AT cs.stonybrook.edu
Publications
(2025).
Multi-view Gaze Target Estimation.
International Conference on Computer Vision (ICCV), 2025.
(2024).
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following.
European Conference on Computer Vision (ECCV), 2024.
(2023).
Patch-level gaze distribution prediction for gaze following.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
(2022).
Study of detecting behavioral signatures within DeepFake videos.
Arxiv Preprint, 2022.
Projects
Experience
Student Researcher Sep 2025 - Present
- Developing eye segmentation and eye-tracking pipelines with large foundation models.
Technology Investigation Intern May 2022 - Aug 2022
Apple
- Designed and trained activity recognition models on video datasets for augmented reality (AR) applications
- Improved activity recognition performance by incorporating scene understanding concepts
Research Intern Jun 2021 - Aug 2021
Bytedance
- Generated motion-transferred DeepFake videos with state-of-the-art lipsyncing and face reenactment models to investigate the behavioral signatures (speaking style and utterance, etc.) in person identification
- Implemented a self-supervised DeepFake Detection model using behavioral and appearance-related features