Kede Ma
27 papers · 2016–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (55) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(136)
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Top co-authors
Research topics
Machine Learning
(19)
Computer Vision
(13)
Learning Types Β· Machine Learning
(13)
Deep Learning
(12)
Processing
(12)
Core Methods
(7)
Artificial Intelligence
(5)
Core AI Β· Artificial Intelligence
(5)
Learning Types Β· Deep Learning
(5)
Optimization & Theory
(5)
Application Areas
(4)
Architectures
(4)
Models
(4)
Analysis
(3)
Core AI Β· Computer Vision
(3)
Keywords
image quality assessment
(4)
blind image quality assessment
(3)
video quality assessment
(3)
image restoration
(2)
quality assessment
(2)
multi-task learning
(2)
low-rank adaptation
(2)
data hiding
(2)
continual learning
(2)
perceptual quality
(2)
vision transformer
(1)
anomaly detection
(1)
ensemble learning
(1)
motion deblurring
(1)
benchmark evaluation
(1)
representation learning
(1)
motion analysis
(1)
video frame interpolation
(1)
probabilistic modeling
(1)
face detection
(1)
Papers
MDS-VQA: Model-Informed Data Selection for Video Quality Assessment
CVPR 2026
Bi-Level Optimization for Self-Supervised AI-Generated Face Detection
ICCV 2025
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
ICLR 2025
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation
ICML 2025
Dataset Distillation as Data Compression: A Rate-Utility Perspective
ICCV 2025
Hiding Images in Diffusion Models by Editing Learned Score Functions
CVPR 2025
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
ACL 2025
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
ICLR 2025
Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption
CVPR 2025
A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment
ECCV 2024
Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors
ECCV 2024
Learned HDR Image Compression for Perceptually Optimal Storage and Display
ECCV 2024
Learned Scanpaths Aid Blind Panoramic Video Quality Assessment
CVPR 2024
Learning Where to Edit Vision Transformers
NeurIPS 2024
Modular Blind Video Quality Assessment
CVPR 2024
Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures
ECCV 2024
Perceptual Assessment and Optimization of HDR Image Rendering
CVPR 2024
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
CVPR 2023
Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time
CVPR 2023
Learning a Deep Color Difference Metric for Photographic Images
CVPR 2023
Hiding Images in Deep Probabilistic Models
NeurIPS 2022
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
NeurIPS 2022
Debiased Subjective Assessment of Real-World Image Enhancement
CVPR 2021
Troubleshooting Blind Image Quality Models in the Wild
CVPR 2021
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively
ICLR 2020
Perceptual Quality Assessment of Smartphone Photography
CVPR 2020
Group MAD Competition - A New Methodology to Compare Objective Image Quality Models
CVPR 2016