Hyesong Choi

According to our database, Hyesong Choi authored at least 25 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AdaMerge: Salience-Aware Adaptive Token Merging for Training-Free Acceleration of Vision Transformers.

Semi Lee, Hyejin Go, Hyesong Choi

CoRR, May, 2026

When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection.

Jihyeon Kim, Sohee Kim, Soosan Lee, Souhwan Jung, James Matthew Rehg, Hyesong Choi

CoRR, May, 2026

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP.

Kahyeon Nam, Hyesong Choi

CoRR, May, 2026

What Does the Caption Really Say? Counterfactual Phrase Intervention for Compositional Data Selection in Vision-Language Pretraining.

Hyejin Go, Semi Lee, Hyesong Choi

CoRR, May, 2026

Enhancing Alignment for Unified Multimodal Models via Semantically-Grounded Supervision.

Jiyeong Kim, Yerim So, Hyesong Choi, Uiwon Hwang, Dongbo Min

CoRR, March, 2026

2025

RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo.

Jueun Ko, Hyewon Park, Hyesong Choi, Dongbo Min

CoRR, November, 2025

Global Structural Knowledge Distillation for Semantic Segmentation.

Hyejin Park, Keonhee Ahn, Hyesong Choi, Dongbo Min

IEEE Access, 2025

UniTT-Stereo: Unified Training of Transformer for Enhanced Stereo Matching.

Soomin Kim, Hyesong Choi, Jihye Ahn, Dongbo Min

IEEE Access, 2025

MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling.

Jihye Ahn, Hyesong Choi, Soomin Kim, Dongbo Min

IEEE Access, 2025

TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning.

Seungmin Baek, Soyul Lee, Hayeon Jo, Hyesong Choi, Dongbo Min

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Improving Generative Pre-Training: An In-depth Study of Masked Image Modeling and Denoising Models.

Hyesong Choi, Daeun Kim, Sungmin Cha, Kwang Moo Yi, Dongbo Min

CoRR, 2024

iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation.

Hayeon Jo, Hyesong Choi, Minhee Cho, Dongbo Min

CoRR, 2024

CLDA: Collaborative Learning for Enhanced Unsupervised Domain Adaptation.

Minhee Cho, Hyesong Choi, Hayeon Jo, Dongbo Min

CoRR, 2024

SG-MIM: Structured Knowledge Guided Efficient Pre-training for Dense Prediction.

Sumin Son, Hyesong Choi, Dongbo Min

CoRR, 2024

A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations.

Wonil Song, Hyesong Choi, Kwanghoon Sohn, Dongbo Min

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training.

Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min

Proceedings of the Computer Vision - ECCV 2024, 2024

Emerging Property of Masked Token for Effective Pre-training.

Hyesong Choi, Hunsang Lee, Seyoung Joung, Hyejin Park, Jiyeong Kim, Dongbo Min

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Learning disentangled skills for hierarchical reinforcement learning through trajectory autoencoder with weak labels.

Wonil Song, Sangryul Jeon, Hyesong Choi, Kwanghoon Sohn, Dongbo Min

Expert Syst. Appl., November, 2023

Cross-Scale KNN Image Transformer for Image Restoration.

Hunsang Lee, Hyesong Choi, Kwanghoon Sohn, Dongbo Min

IEEE Access, 2023

Environment Agnostic Representation for Visual Reinforcement learning.

Hyesong Choi, Hunsang Lee, Seongwon Jeong, Dongbo Min

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning.

Hyesong Choi, Hunsang Lee, Wonil Song, Sangryul Jeon, Kwanghoon Sohn, Dongbo Min

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Sequential Cross Attention Based Multi-Task Learning.

Sunkyung Kim, Hyesong Choi, Dongbo Min

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

KNN Local Attention for Image Restoration.

Hunsang Lee, Hyesong Choi, Kwanghoon Sohn, Dongbo Min

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Adaptive confidence thresholding for monocular depth estimation.

Hyesong Choi, Hunsang Lee, Sunkyung Kim, Sunok Kim, Seungryong Kim, Kwanghoon Sohn, Dongbo Min

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Adaptive confidence thresholding for semi-supervised monocular depth estimation.

Hyesong Choi, Hunsang Lee, Sunkyung Kim, Sunok Kim, Seungryong Kim, Dongbo Min

CoRR, 2020