Jin-Seop Lee
8 papers · 2024–2026 · 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
Jump to papers ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(24)
❓
The Questioner
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(6)
Learning Types · Machine Learning
(5)
Learning Types · Deep Learning
(5)
Application Areas
(3)
Computer Vision
(2)
Models
(2)
Artificial Intelligence
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Generation
(1)
Keywords
representation learning
(2)
image classification
(1)
contrastive learning
(1)
reinforcement learning
(1)
semi-supervised learning
(1)
domain generalization
(1)
self-supervised learning
(1)
in-context learning
(1)
video temporal grounding
(1)
label noise
(1)
knowledge graph
(1)
benchmark dataset
(1)
noisy label
(1)
demonstration retrieval
(1)
large vision-language model
(1)
binary neural network
(1)
feature manifold
(1)
class activation map
(1)
discriminative region
(1)
weakly supervised semantic segmentation
(1)
Papers
BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?
AAAI 2026
Learning to Refuse: Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding
CVPR 2026
DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
ACL 2025
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
AAAI 2025
Feature-Level and Spatial-Level Activation Expansion for Weakly-Supervised Semantic Segmentation
WACV 2025
ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples
ECCV 2024
IGNORE: Information Gap-based False Negative Loss Rejection for Single Positive Multi-Label Learning
ECCV 2024
Learning with Structural Labels for Learning with Noisy Labels
CVPR 2024