YoungJoon Yoo
20 papers · 2016–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (53) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Keyword Champion
(3)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Silver
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Conference Pioneer
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(108)
Top co-authors
Research topics
Machine Learning
(15)
Computer Vision
(10)
Deep Learning
(10)
Analysis
(7)
Application Areas
(7)
Learning Types Β· Machine Learning
(7)
Artificial Intelligence
(5)
Core Methods
(5)
Architectures
(4)
Core AI
(4)
Models
(4)
Natural Language Processing
(3)
Learning Types Β· Deep Learning
(3)
Processing
(3)
Bayesian & Probabilistic
(2)
Keywords
image classification
(4)
semantic segmentation
(3)
lightweight model
(3)
generative model
(3)
neural architecture search
(3)
weakly supervised learning
(2)
self-supervised learning
(2)
data augmentation
(2)
variational autoencoder
(2)
diffusion model
(2)
zero-shot learning
(1)
transfer learning
(1)
domain adaptation
(1)
face detection
(1)
domain generalization
(1)
catastrophic forgetting
(1)
deep reinforcement learning
(1)
adversarial robustness
(1)
feature learning
(1)
continual learning
(1)
Papers
GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis
AAAI 2026
StoryCoder: Narrative Reformulation for Structured Reasoning in LLM Code Generation
ACL 2026
Domain-Generalized Object Anti-Spoofing: Bridging Gaps and Patch Selection for Robust Detection Across Domains
WACV 2025
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
ICLR 2024
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
WACV 2024
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
AAAI 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
WACV 2024
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
AAAI 2024
GeNAS: Neural Architecture Search with Better Generalization
IJCAI 2023
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
CVPR 2022
Learning Features with Parameter-Free Layers
ICLR 2022
Rainbow Memory: Continual Learning With a Memory of Diverse Samples
CVPR 2021
Rethinking Channel Dimensions for Efficient Model Design
CVPR 2021
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
NeurIPS 2021
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Module and Information Blocking Decoder
WACV 2020
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
ICCV 2019
Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams
CVPR 2018
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning
CVPR 2017
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
CVPR 2017
Visual Path Prediction in Complex Scenes With Crowded Moving Objects
CVPR 2016