Jaehoon Oh

According to our database, Jaehoon Oh authored at least 26 papers between 2013 and 2023.

Collaborative distances:

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

2023

Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography.

Myeong Seong Yoon, Gitaek Kwon, Jaehoon Oh, Jongbin Ryu, Jongwoo Lim, Bokyeong Kang, Juncheol Lee, Dongkyoon Han

J. Digit. Imaging, June, 2023

FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning.

Seongyoon Kim, Gihun Lee, Jaehoon Oh, Se-Young Yun

CoRR, 2023

Cross-Modal Retrieval Meets Inference: Improving Zero-Shot Classification with Cross-Modal Retrieval.

Seongha Eom, Namgyu Ho, Jaehoon Oh, Se-Young Yun

CoRR, 2023

FedSoL: Bridging Global Alignment and Local Generality in Federated Learning.

Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun

CoRR, 2023

CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation.

Yongrae Kim, Hyunmin Gwak, Jaehoon Oh, Minho Kang, Jinkyu Kim, Hyun Kwon, Sunghwan Kim

IEEE Access, 2023

2022

Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning.

Jaehoon Oh, Se-Young Yun

CoRR, 2022

Revisiting the Updates of a Pre-trained Model for Few-shot Learning.

Yujin Kim, Jaehoon Oh, Sungnyun Kim, Se-Young Yun

CoRR, 2022

Understanding Cross-Domain Few-Shot Learning: An Experimental Study.

Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun

CoRR, 2022

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty.

Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FedBABU: Toward Enhanced Representation for Federated Image Classification.

Jaehoon Oh, Sangmook Kim, Se-Young Yun

Proceedings of the Tenth International Conference on Learning Representations, 2022

Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks.

Jaehoon Oh, Jongwoo Ko, Se-Young Yun

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning.

Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray.

Junwon Bae, Sangjoon Yu, Jaehoon Oh, Tae Hyun Kim, Jae Ho Chung, Hayoung Byun, Myeong Seong Yoon, Chiwon Ahn, Dong Keon Lee

J. Digit. Imaging, 2021

FedBABU: Towards Enhanced Representation for Federated Image Classification.

Jaehoon Oh, Sangmook Kim, Se-Young Yun

CoRR, 2021

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation.

Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

BOIL: Towards Representation Change for Few-shot Learning.

Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Accurate and Fast Federated Learning via IID and Communication-Aware Grouping.

Jin-Woo Lee, Jaehoon Oh, Yooju Shin, Jae-Gil Lee, Se-Young Yoon

CoRR, 2020

TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture.

Jin-Woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, Jae-Gil Lee

CoRR, 2020

Does MAML really want feature reuse only?

Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun

CoRR, 2020

SIPA: A Simple Framework for Efficient Networks.

Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

A pipelined hybrid recommender system for ranking the items on the display.

Jaehoon Oh, Sangmook Kim, Se-Young Yun, Seungwoo Choi, Mun Yong Yi

Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019

2018

Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source.

Jaehoon Oh, Duyeon Kim, Se-Young Yun

CoRR, 2018

TED Talk Recommender Using Speech Transcripts.

Jaehoon Oh, Injung Lee, Yeon Seonwoo, Simin Sung, Ilbong Kwon, Jae-Gil Lee

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

A Feasibility Study of Telementoring for Identifying the Appendix Using Smartphone-Based Telesonography.

Yoonje Lee, Changsun Kim, Hyuk Joong Choi, Bossng Kang, Jaehoon Oh, Tae Ho Lim

J. Digit. Imaging, 2017

2016

A Feasibility Study of Smartphone-Based Telesonography for Evaluating Cardiac Dynamic Function and Diagnosing Acute Appendicitis with Control of the Image Quality of the Transmitted Videos.

Changsun Kim, Hyunmin Cha, Bo Seung Kang, Hyuk Joong Choi, Tae Ho Lim, Jaehoon Oh

J. Digit. Imaging, 2016

2013

A new method to increase the quality of cardiopulmonary resuscitation in hospital.

Yeongtak Song, Jaehoon Oh, Tae Ho Lim, Youngjoon Chee

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013