Junbum Cha

Orcid: 0000-0001-8248-3138

According to our database1, Junbum Cha authored at least 14 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Few-Shot Font Generation With Weakly Supervised Localized Representations.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

2023
Honeybee: Locality-enhanced Projector for Multimodal LLM.
CoRR, 2023

Learning Pseudo-Labeler beyond Noun Concepts for Open-Vocabulary Object Detection.
CoRR, 2023

Learning to Generate Text-Grounded Mask for Open-World Semantic Segmentation from Only Image-Text Pairs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning.
CoRR, 2021

Domain Generalization Needs Stochastic Weight Averaging for Robustness on Domain Shifts.
CoRR, 2021

SWAD: Domain Generalization by Seeking Flat Minima.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Few-shot Font Generation with Localized Style Representations and Factorization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Few-Shot Compositional Font Generation with Dual Memory.
Proceedings of the Computer Vision - ECCV 2020, 2020

Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2016
GRiD: Gathering rich data from PubMed using one-class SVM.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A method for obtaining rich data from PubMed using SVM.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016


  Loading...