Weixia Zhang
Associate Professor
Works on visual quality assessment, perceptual optimization and computational photography.
Weixia Zhang's lab at SJTU works on computational imaging & photography and learning theory & optimization. 35 papers since 2023, 6 at top venues, mostly CVPR and ICIP. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 17%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 1 · collecting
- 15 papers2025 · T1 0
- 10 papers2024 · T1 3
- 4 papers2023 · T1 2
T1 venuesOtherVenues: CVPR, ICIP, AAAI, ACM MM, ICML
Research focuspaper titles that use each topic's words
- quality assessment20 papers
- Learning theory & optimization6 papers
- perceptual2 papers
- Computational imaging & photography1 paper
- visual quality1 paper
Paper list
From the lab homepage.
20266 papers
- CVPR WorkshopLoViF 2026 Challenge on Human-oriented Semantic Image Quality Assessment: Methods and Results
- CVPR WorkshopNTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results
- CVPR WorkshopNTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1)
- Pattern RecognitionRobust Low-Light Image Enhancement In the Wild via Data Synthesis and Generative Diffusion Prior
- TCSVTUnveiling the Modular Design of Text-to-Video Quality Assessment
- AAAI (T1)VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning
202515 papers
- Journal of Cancer Research and Clinical OncologyArtificial Intelligence Algorithm for Preoperative Prediction of FIGO Stage in Ovarian Cancer Based on Clinical Features Integrated 18F-FDG PET/CT Metabolic and Radiomics Features
- ICCV WorkshopEfficient Face Image Quality Assessment via Self-training and Knowledge Distillation
- ICCV WorkshopEngagement Prediction of Short Videos with Large Multimodal Models
- ACM MMEvaluating Perceptual Color Preferences in Smartphone Photography: Dataset and Challenges
- IEEE SMCLearning from Model Rankings Improves Blind Super-Resolution Image Quality Assessment
- The Journal of Clinical Endocrinology & MetabolismMachine Learning-Based Prediction of Large-for-Gestational-Age Infants in Mothers With Gestational Diabetes Mellitus
- CVPR WorkshopMulti-Dimensional Quality Assessment for UGC Videos via Modular Multi-Modal Vision-Language Models
- CVPR WorkshopNTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results
- CVPR WorkshopNTIRE 2025 XGC Quality Assessment Challenge: Methods and Results
- ICCV WorkshopVQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results
- ICCV WorkshopVQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results
- ICCV WorkshopVQualA 2025 Challenge on GenAI-Bench AIGC Video Quality Assessment: Methods and Results
202410 papers
- ICIPA Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos
- CVPR (T1)AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment
- ECCV WorkshopAIM 2024 Challenge on UHD Blind Photo Quality Assessment
- ECCV WorkshopAIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results
- CVPR WorkshopAIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results
- ECCV WorkshopAssessing UHD Image Quality from Aesthetics, Distortions, and Saliency
- CVPR WorkshopDeep Portrait Quality Assessment: A NTIRE 2024 Challenge Survey
- ICML (T1)Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
- ECCV WorkshopSR-VQA: Super-Resolution Video Quality Assessment Model
- TIP (T1)Task-Specific Normalization for Continual Learning of Blind Image Quality Models
20234 papers
- CVPR (T1)Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
- TPAMI (T1)Continual Learning for Blind Image Quality Assessment
- ICIPLLIEFormer: A Low-Light Image Enhancement Transformer Network with a Degraded Restoration Model
- 中国科学：信息科学基于神经网络的生成式三维数字人研究综述：表示、渲染与学习
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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