Ke Yu
15 papers · 2018–2025 · 9 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 (46) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Renaissance Researcher
(7)
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(87)
Top co-authors
Research topics
Computer Vision
(10)
Deep Learning
(10)
Machine Learning
(7)
Learning Types Β· Deep Learning
(7)
Artificial Intelligence
(6)
Core AI
(6)
Learning Types Β· Machine Learning
(6)
Processing
(6)
Architectures
(4)
Analysis
(3)
Generation
(3)
Natural Language Processing
(2)
Application Areas
(2)
Core Methods
(2)
Healthcare & Medicine
(1)
Keywords
image restoration
(3)
concept learning
(2)
prompt learning
(2)
contrastive learning
(2)
representation learning
(2)
video super-resolution
(2)
few-shot learning
(2)
benchmark evaluation
(1)
feature extraction
(1)
semantic segmentation
(1)
transfer learning
(1)
domain generalization
(1)
style transfer
(1)
object detection
(1)
reinforcement learning
(1)
text generation
(1)
medical imaging
(1)
self-supervised learning
(1)
multimodal learning
(1)
deformable convolution
(1)
Papers
AIDER: a Robust and Topic-Independent Framework for Detecting AI-Generated Text
COLING 2025
Rethinking Text-based Protein Understanding: Retrieval or LLM?
EMNLP 2025
Concept-Guided Prompt Learning for Generalization in Vision-Language Models
AAAI 2024
Conceptual Codebook Learning for Vision-Language Models
ECCV 2024
Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks
AAAI 2024
Learning To Adapt CLIP for Few-Shot Monocular Depth Estimation
WACV 2024
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
ICML 2023
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
CVPR 2021
Can contrastive learning avoid shortcut solutions?
NeurIPS 2021
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
AAAI 2021
ReconfigISP: Reconfigurable Camera Image Processing Pipeline
ICCV 2021
Understanding Deformable Alignment in Video Super-Resolution
AAAI 2021
Deep Network Interpolation for Continuous Imagery Effect Transition
CVPR 2019
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
CVPR 2018
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform
CVPR 2018