Sanghyuk Chun
33 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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Conferences
ICLR (7)
ECCV (6)
ICCV (6)
CVPR (5)
NIPS (4)
AAAI (2)
ICML (2)
NAACL (1)
Top co-authors
Keywords
image classification
(4)
multimodal learning
(3)
few-shot learning
(3)
zero-shot learning
(3)
continual learning
(2)
image generation
(2)
font generation
(2)
object localization
(2)
vision-language model
(2)
group fairness
(2)
data augmentation
(2)
transfer learning
(2)
object detection
(2)
domain generalization
(2)
composed image retrieval
(2)
contrastive learning
(2)
vision transformer
(2)
style transfer
(2)
representation learning
(2)
algorithmic fairness
(1)
Papers
Probabilistic Language-Image Pre-Training
ICLR 2025
Read, Watch and Scream! Sound Generation from Text and Video
AAAI 2025
An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval
ICCV 2025
Toward Interactive Regional Understanding in Vision-Large Language Models
NAACL 2024
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
NIPS 2024
Language-only Training of Zero-shot Composed Image Retrieval
CVPR 2024
Learning with Unmasked Tokens Drives Stronger Vision Learners
ECCV 2024
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts
ECCV 2024
Similarity of Neural Architectures using Adversarial Attack Transferability
ECCV 2024
Improved Probabilistic Image-Text Representations
ICLR 2024
What does automatic differentiation compute for neural networks?
ICLR 2024
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
ICLR 2023
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage
ICCV 2023
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
ECCV 2022
Dataset Condensation with Contrastive Signals
ICML 2022
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-Verified Image-Caption Associations for MS-COCO
ECCV 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
NIPS 2022
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
ICLR 2022
ViDT: An Efficient and Effective Fully Transformer-based Object Detector
ICLR 2022
Learning Fair Classifiers With Partially Annotated Group Labels
CVPR 2022
Rethinking Spatial Dimensions of Vision Transformers
ICCV 2021
SWAD: Domain Generalization by Seeking Flat Minima
NIPS 2021
Probabilistic Embeddings for Cross-Modal Retrieval
CVPR 2021
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
ICLR 2021
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels
CVPR 2021
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions
NIPS 2021
Few-shot Font Generation with Localized Style Representations and Factorization
AAAI 2021
Multiple Heads Are Better Than One: Few-Shot Font Generation With Multiple Localized Experts
ICCV 2021
Evaluating Weakly Supervised Object Localization Methods Right
CVPR 2020
Learning De-biased Representations with Biased Representations
ICML 2020
Few-shot Compositional Font Generation with Dual Memory
ECCV 2020
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
ICCV 2019
Photorealistic Style Transfer via Wavelet Transforms
ICCV 2019