Junsuk Choe
14 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(12)
Computer Vision
(10)
Learning Types · Machine Learning
(10)
Deep Learning
(8)
Analysis
(8)
Learning Types · Deep Learning
(4)
Techniques
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Architectures
(3)
Core AI · Artificial Intelligence
(3)
Core AI · Computer Vision
(2)
Core Methods
(2)
Domain-Specific
(1)
Optimization & Theory
(1)
Keywords
weakly supervised learning
(7)
image classification
(6)
object localization
(5)
semantic segmentation
(3)
object detection
(2)
attention mechanism
(2)
data augmentation
(2)
class activation mapping
(2)
weakly supervised semantic segmentation
(2)
contrastive learning
(2)
image-level label
(2)
representation learning
(2)
self-supervised learning
(1)
multi-task learning
(1)
domain adaptation
(1)
vision transformer
(1)
transfer learning
(1)
text-to-image generation
(1)
domain generalization
(1)
autonomous driving
(1)
Papers
ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models
AAAI 2025
NegMerge: Sign-Consensual Weight Merging for Machine Unlearning
ICML 2025
Small Objects Matters in Weakly-Supervised Semantic Segmentation
WACV 2024
Weakly Supervised Semantic Segmentation for Driving Scenes
AAAI 2024
Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts
ICCV 2023
Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data
CVPR 2022
Contrastive Attention Maps for Self-Supervised Co-Localization
ICCV 2021
Keep CALM and Improve Visual Feature Attribution
ICCV 2021
Normalization Matters in Weakly Supervised Object Localization
ICCV 2021
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels
CVPR 2021
Rethinking Spatial Dimensions of Vision Transformers
ICCV 2021
Evaluating Weakly Supervised Object Localization Methods Right
CVPR 2020
Attention-Based Dropout Layer for Weakly Supervised Object Localization
CVPR 2019
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
ICCV 2019