← Authors

Sanghyuk Chun

33 papers · 2019–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (63) 🀝 Dynamic Duo (13) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (97) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (33) ⚑ Prolific Year (8) πŸ“ˆ Trend Setter ❓ The Questioner (3)

Conferences

ICLR (7) ECCV (6) ICCV (6) CVPR (5) NIPS (4) AAAI (2) ICML (2) NAACL (1)

Top co-authors

Sangdoo Yun (13) Seong Joon Oh (10) Dongyoon Han (8) Byeongho Heo (7) Wonjae Kim (7) Song Park (6) Junbum Cha (5) Junsuk Choe (4) Taesup Moon (4) Sangwon Jung (4)

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