Dongwan Kim
9 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(4)
Computer Vision
(3)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Analysis
(2)
Application Areas
(2)
Architectures
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Processing
(2)
Interdisciplinary
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
representation learning
(2)
adversarial learning
(2)
semantic segmentation
(1)
machine unlearning
(1)
image retrieval
(1)
multimodal learning
(1)
adversarial training
(1)
cluster assumption
(1)
latent representation
(1)
feature disentanglement
(1)
feature representation
(1)
image denoising
(1)
feature space
(1)
graph embedding
(1)
clustering quality
(1)
class-incremental learning
(1)
noise robustness
(1)
diffusion model
(1)
domain adaptation
(1)
continual learning
(1)
Papers
FlavorDiffusion: Modeling Food-Chemical Interactions with Diffusion
NAACL 2025
Revisiting Machine Unlearning with Dimensional Alignment
WACV 2025
Robust Image Denoising through Adversarial Frequency Mixup
CVPR 2024
On the Stability-Plasticity Dilemma of Class-Incremental Learning
CVPR 2023
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
ECCV 2022
CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback
CVPR 2021
Learning Debiased and Disentangled Representations for Semantic Segmentation
NeurIPS 2021
Learning to Optimize Domain Specific Normalization for Domain Generalization
ECCV 2020
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
ICCV 2019