CNShanghai Jiao Tong UniversitySchool of Integrated Circuits (Information and Electronic Engineering)
Xiongkuo Min
教授
Works on multimedia signal processing, including image and video quality assessment, enhancement and visual attention prediction.
Xiongkuo Min's lab at SJTU works on video understanding, speech enhancement & signal processing and signal processing & information theory. 150 papers since 2023, 57 at top venues, mostly TCSVT and ACM MM. 11 PhD students and 6 master's students. 6 alumni. Applications close .
At a glance
- papers, 2023–2026
- 39/ year
- at T1 venues
- 38%
- PhD students
- 11
- MS students
- 6
- alumni listed
- 6
Papers by yearfrom the lab homepage, 2023–2026
- 47 papers2026 · T1 27 · collecting
- 55 papers2025 · T1 19
- 25 papers2024 · T1 6
- 23 papers2023 · T1 5
T1 venuesOtherVenues: TCSVT, ACM MM, CVPR, TMM, TOMM
Research focuspaper titles that use each topic's words
- Video understanding33 papers
- video quality13 papers
- Speech enhancement & signal processing6 papers
- Signal processing & information theory4 papers
- visual attention3 papers
Paper list
From the lab homepage.
202647 papers
- CVPR (T1)Adapter Shield: A Unified Framework with Built-In Authentication for Preventing Unauthorized Zero-Shot Image-to-Image Generation
- NeurIPS (T1)AesGI-Bench: Benchmarking and Evaluating the Aesthetic Quality of AI-Generated Images via Large Multimodal Models
- TCSVTAGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images
- ACM MMAGTI-Bench: A Human-Aligned Benchmark for Text-Aware Text-to-Image Generation
- AAAI (T1)Audio-Assisted Face Video Restoration with Temporal and Identity Complementary Learning
- TPAMI (T1)Developing Evolving Adaptability in Biological Intelligence: A Novel Biologically-Inspired Continual Learning Model for Video Saliency Prediction
- NeurIPS (T1)DyCoRM: Dynamic Criterion-Aware Reward Modeling for Text-to-Image Generation
- NeurIPS (T1)DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Models
- ECCV (T1)EditHF-1M: A Million-Scale Rich Human Preference Feedback for Image Editing (opens in a new tab)
- ICML (T1)EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment (opens in a new tab)
- Findings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Evaluating Dataset Watermarking for Fine-Tuning Traceability of Customized Diffusion Models: A Comprehensive Benchmark and Removal Approach
- ECCV (T1)From Open Loop to Closed Loop: A Test-Time Iterative Optimization Framework for Reference-Consistent Image Generation (opens in a new tab)
202555 papers
- ICLR (T1)A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
- TIP (T1)Advancing Zero-Shot Digital Human Quality Assessment Through Text-Prompted Evaluation (opens in a new tab)
- ICML (T1)AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment (opens in a new tab)
- TMMAggregate and Discriminate: Pseudo Clips-Guided Boundary Perception for Video Moment Retrieval
- CVPR (T1)AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM (opens in a new tab)
- TOMMBenchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model
- TIP (T1)Blind Image Quality Assessment by Gaussian Mixture Distribution (opens in a new tab)
- ACM MMDFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models (opens in a new tab)
- ACM MMEEmo-Bench: A Benchmark for Multi-Modal Large Language Models on Image Evoked Emotion Assessment (opens in a new tab)
- TOMMElevating Mesh Saliency in VR: Introducing a Novel Prediction Network and Dataset
- TCOMEnergy-Efficient VR 360 Video Streaming in the IRS-Aided Rate-Splitting Multiple Access Network
- ICCVWEngagement Prediction of Short Videos with Large Multimodal Models (opens in a new tab)
202425 papers
- TCSVTAGIQA-3K: An Open Database for AI-Generated Image Quality Assessment (opens in a new tab)
- TPAMI (T1)Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models (opens in a new tab)
- TCSVTBAND-2k: Banding Artifact Noticeable Database for Banding Detection and Quality Assessment (opens in a new tab)
- TCSVTBlind Image Quality Assessment: A Fuzzy Neural Network for Opinion Score Distribution Prediction (opens in a new tab)
- TCSVTContinuous and Overall Quality of Experience Evaluation for Streaming Video Based on Rich Features Exploration and Dual-Stage Attention
- ISCASDSA-QoE: Quality of Experience Evaluation for Streaming Video Based on Dual-Stage Attention
- NeurIPS (T1)GAIA: Rethinking Action Quality Assessment for AI-Generated Videos (opens in a new tab)
- ECCV (T1)GLARE: Low Light Image Enhancement via Generative Latent Feature Based Codebook Retrieval (opens in a new tab)
- TOMMGMS-3DQA: Projection-Based Grid Mini-patch Sampling for 3D Model Quality Assessment (opens in a new tab)
- TOMMHidden Barcode in Sub-Images with Invisible Locating Marker
- TIP (T1)How is Visual Attention Influenced by Text Guidance? Database and Model (opens in a new tab)
- ACM MMLarge Multi-modality Model Assisted AI-Generated Image Quality Assessment (opens in a new tab)
202323 papers
- TOG (T1)A Deep Learning Based Multi-Dimensional Aesthetic Quality Assessment Method for Mobile Game Images
- TOMMA Novel Lightweight Audio-visual Saliency Model for Videos
- CAAI International Conference on Artificial Intelligence (CICAI)AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: From the Perspectives of Quality, Authenticity and Correspondence (opens in a new tab)
- TIP (T1)Attention-Guided Neural Networks for Full-Reference and No-Reference Audio-Visual Quality Assessment (opens in a new tab)
- JSTSPAttentive Deep Image Quality Assessment for Omnidirectional Stitching (opens in a new tab)
- TMI (T1)Blind Image Quality Assessment for Pathological Microscopic Image under Screen and Immersion Scenarios (opens in a new tab)
- TMMBlind Image Quality Assessment Via Cross-View Consistency
- JSTSPBlind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training (opens in a new tab)
- TBCDeep Neural Network for Blind Visual Quality Assessment of 4K Content
- TMMDevelop then Rival: A Human Vision-Inspired Framework for Superimposed Image Decomposition
- TCSVTImage Quality Score Distribution Prediction via Alpha Stable Model (opens in a new tab)
- TGRSImplicit Neural Representation Learning for Hyperspectral Image Super-Resolution (opens in a new tab)
Where alumni went6 listed
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
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- GRE
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- English
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Not yet confirmed for this intake.
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