Jaedong Hwang
Research
Mid-Training Language Models on Raw Video
arXiv 2026
Sensor Geometry as a Flow-Matching Prior for Multi-Channel Brain Signals
arXiv 2026
B[FM]²: Brain Foundation Model via Flow Matching with SplitUNet
NeurIPS 2026
Large Pre-Training Datasets Don’t Guarantee Robustness after Fine-Tuning
TMLR 2026
Learn Globally, Speak Locally: Multilingual Reasoning (M2A)
arXiv 2025
Learn Globally, Speak Locally: Multilingual Reasoning (BRIDGE)
arXiv 2025
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building
TMLR 2024
Exemplar-Based Open-Set Panoptic Segmentation Network
CVPR 2021
Weakly Supervised Instance Segmentation by Deep Community Learning
WACV 2021
CVPR 2021
Exemplar-Based Open-Set Panoptic Segmentation Network
Jaedong Hwang
*†
Seoung Wug Oh
‡
Joon-Young Lee
‡
Bohyung Han
†
†
Seoul National University
‡
Adobe Research
*
This work was done during an internship at Adobe Research
Project page
arXiv
Code
Additional Qualitative Results
Images
Ground-Truths
Predictions
More research
Mid-Training Language Models on Raw Video
arXiv 2026
Sensor Geometry as a Flow-Matching Prior for Multi-Channel Brain Signals
arXiv 2026
B[FM]²: Brain Foundation Model via Flow Matching with SplitUNet
NeurIPS 2026
Large Pre-Training Datasets Don’t Guarantee Robustness after Fine-Tuning
TMLR 2026
Learn Globally, Speak Locally: Multilingual Reasoning (M2A)
arXiv 2025
Learn Globally, Speak Locally: Multilingual Reasoning (BRIDGE)
arXiv 2025
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building
TMLR 2024
Weakly Supervised Instance Segmentation by Deep Community Learning
WACV 2021