Dongwan Kim
9 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Academic Marathon (6) π Conference Polyglot (6) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(23)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Unstoppable
(7)
Conferences
CVPR (3)
ECCV (2)
ICCV (1)
NAACL (1)
NIPS (1)
WACV (1)
Top co-authors
Research topics
Keywords
representation learning
(2)
adversarial learning
(2)
semantic segmentation
(1)
machine unlearning
(1)
image retrieval
(1)
multi-modal 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
Learning Debiased and Disentangled Representations for Semantic Segmentation
NIPS 2021
CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback
CVPR 2021
Learning to Optimize Domain Specific Normalization for Domain Generalization
ECCV 2020
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
ICCV 2019