Jinjian Wu
18 papers · 2020–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (44) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π§¬
Topic Evolution
π€
Dynamic Duo
(14)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(93)
β‘
Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Computer Vision
(12)
Deep Learning
(11)
Machine Learning
(11)
Processing
(11)
Learning Types Β· Deep Learning
(10)
Artificial Intelligence
(6)
Application Areas
(5)
Optimization & Theory
(5)
Core AI Β· Artificial Intelligence
(4)
Core Methods
(3)
Learning Types Β· Machine Learning
(3)
Models
(3)
Architectures
(2)
Core AI Β· Computer Vision
(2)
Domain-Specific
(2)
Keywords
event camera
(3)
image quality assessment
(3)
gaussian scale mixtures
(2)
convolutional neural network
(2)
image restoration
(2)
domain adaptation
(2)
video quality assessment
(2)
uncertainty estimation
(2)
motion deblurring
(2)
cross-modal fusion
(2)
curriculum learning
(1)
background subtraction
(1)
robust optimization
(1)
compressive sensing
(1)
sparse coding
(1)
domain generalization
(1)
cross-modal learning
(1)
knowledge distillation
(1)
trajectory prediction
(1)
knowledge transfer
(1)
Papers
From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation
CVPR 2026
Rethinking Knowledge Transfer in Image Quality Assessment: A Perceptual Preference Structure Alignment Perspective
CVPR 2026
Scaling Dense Event-Stream Pretraining from Visual Foundation Models
CVPR 2026
Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring
AAAI 2025
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
CVPR 2024
E-Motion: Future Motion Simulation via Event Sequence Diffusion
NeurIPS 2024
Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events
AAAI 2024
Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment
AAAI 2024
Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
CVPR 2024
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring
CVPR 2023
Robust Depth Completion with Uncertainty-Driven Loss Functions
AAAI 2022
Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition
ECCV 2022
Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution
ECCV 2022
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging
CVPR 2021
Uncertainty-Driven Loss for Single Image Super-Resolution
NeurIPS 2021
Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment
ICCV 2021
MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment
CVPR 2020
Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation
AAAI 2020