Huiyu Duan
Shanghai Jiao Tong University
Research areas: Computer Science · Computer Vision and Pattern Recognition · Image and Video Quality Assessment · Digital Media Forensic Detection · Generative Adversarial Networks and Image Synthesis
About
Huiyu Duan received the B.E. degree from the University of Electronic Science and Technology of China, Chengdu, China, in 2017, and the Ph.D. degree from Shanghai Jiao Tong University, Shanghai, China, in 2024. He is currently a Postdoctoral Fellow at Shanghai Jiao Tong University. From Sept. 2019 to Sept. 2020, he was a visiting Ph.D. student at the Schepens Eye Research Institute, Harvard Medical School, Boston, USA. He received the Best Paper Award of IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) in 2022. His research interests include perceptual quality assessment, quality of experience, visual attention modeling, extended reality (XR), and multimedia signal processing.
Employment
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Shanghai Jiao Tong University Postdoc2024 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (52)
- Machine-oriented Visual Media Quality Assessment Save
- Robust Mesh Saliency Ground Truth Acquisition in VR via View Cone Sampling and Manifold Diffusion Save
- VTONQA: A Multi-Dimensional Quality Assessment Dataset for Virtual Try-on Save
- VideoAesBench: Benchmarking the Video Aesthetics Perception Capabilities of Large Multimodal Models Save
- BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models Save
- AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Save
- Quality Assessment and Distortion-Aware Saliency Prediction for AI-Generated Omnidirectional Images Save
- Future Fixation Sequence Prediction for Audio-Visual 360° Videos Save
- Cross-Modal Spatial Alignment Method for Full-Reference Textured Mesh Quality Assessment Save
- EditHF-1M: A Million-Scale Rich Human Preference Feedback for Image Editing Save
- Embodied Image Quality Assessment for Robotic Intelligence Save
- HarmonyQA: A Unified Framework for Harmonization Quality Assessment Save
- MMIFN: A Multi-Modal Interactive Fusion Network for Omnidirectional Image Quality Assessment Save
- Mixed-Reference Quality Assessment for Novel View Synthesis Scenes Save
- Multi-Dimensional Quality Assessment for AI-Generated Human-Centric Videos: Dataset and Model Save
- Multi-Dimensional Quality Assessment for Single-Image-to-3D Contents: Dataset and Model Save
- OmniLowLight: Benchmarking Generative Low-Light Enhancement Across Image Representations Save
- Quality Assessment for AI Generated Images With Instruction Tuning Save
- Real-World Image Bit-Depth Enhancement Save
- TFFN: Three-Branch Feature Fusion Network for Stereoscopic Omnidirectional Image Quality Assessment Save