Hyunjung Shim
28 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (51) π Conference Polyglot (11) π Academic Marathon (8) π§ Keyword Pioneer
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Prolific Year
(5)
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(113)
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(5)
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Century Club
(26)
Conferences
CVPR (8)
AAAI (5)
ECCV (3)
ACL (2)
ICCV (2)
ICLR (2)
WACV (2)
EMNLP (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
semantic segmentation
(6)
weakly supervised learning
(5)
data augmentation
(4)
image generation
(3)
object localization
(3)
contrastive learning
(3)
class activation mapping
(3)
few-shot learning
(3)
image classification
(3)
vision-language model
(2)
vision language model
(2)
open vocabulary
(2)
representation learning
(2)
generative adversarial network
(2)
image synthesis
(2)
knowledge distillation
(2)
feature learning
(2)
unsupervised learning
(2)
autonomous driving
(2)
synthetic datum
(2)
Papers
MomentMix Augmentation with Length-Aware DETR for Temporally Robust Moment Retrieval
WACV 2026
Rethinking Direct Preference Optimization in Diffusion Models
AAAI 2026
PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation
ACL 2026
I0T: Embedding Standardization Method Towards Zero Modality Gap
ACL 2025
Label Augmented Dataset Distillation
WACV 2025
DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
ICLR 2025
DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation
ICLR 2025
3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation
EMNLP 2025
Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation
CVPR 2025
No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather
CVPR 2025
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
CVPR 2025
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering
AAAI 2025
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather
ECCV 2024
Weakly Supervised Semantic Segmentation for Driving Scenes
AAAI 2024
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation
NIPS 2024
Memory-Efficient Fine-Tuning for Quantized Diffusion Model
ECCV 2024
SeiT++: Masked Token Modeling Improves Storage-efficient Training
ECCV 2024
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
CVPR 2022
Commonality in Natural Images Rescues GANs: Pretraining GANs With Generic and Privacy-Free Synthetic Data
CVPR 2022
Logit Mixing Training for More Reliable and Accurate Prediction
IJCAI 2022
Rethinking the Truly Unsupervised Image-to-Image Translation
ICCV 2021
Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation
CVPR 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
PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation
AAAI 2020
Evaluating Weakly Supervised Object Localization Methods Right
CVPR 2020
Attention-Based Dropout Layer for Weakly Supervised Object Localization
CVPR 2019
Improved Training of Generative Adversarial Networks Using Representative Features
ICML 2018