Jaehoon Oh

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 31

Top Topics

Image Classification

Source Separation

Spatial Pyramid

Speech Transcripts

Top Venues

J. Digit. Imaging

Publications

Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun
BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models. CoRR (2024)
Myeong Seong Yoon, Gitaek Kwon, Jaehoon Oh, Jongbin Ryu, Jongwoo Lim, Bokyeong Kang, Juncheol Lee, Dong-Kyoon Han
Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography. J. Digit. Imaging 36 (3) (2023)
Seongha Eom, Namgyu Ho, Jaehoon Oh, Se-Young Yun
Cross-Modal Retrieval Meets Inference: Improving Zero-Shot Classification with Cross-Modal Retrieval. CoRR (2023)
Seongyoon Kim, Gihun Lee, Jaehoon Oh, Se-Young Yun
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning. CoRR (2023)
Yongrae Kim, Hyunmin Gwak, Jaehoon Oh, Minho Kang, Jinkyu Kim, Hyun Kwon, Sunghwan Kim
CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation. IEEE Access 11 (2023)
Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun
FedSoL: Bridging Global Alignment and Local Generality in Federated Learning. CoRR (2023)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
Understanding Cross-Domain Few-Shot Learning: An Experimental Study. CoRR (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CIKM (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CoRR (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. NeurIPS (2022)
Jaehoon Oh, Jongwoo Ko, Se-Young Yun
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. CoRR (2022)
Yujin Kim, Jaehoon Oh, Sungnyun Kim, Se-Young Yun
Revisiting the Updates of a Pre-trained Model for Few-shot Learning. CoRR (2022)
Jaehoon Oh, Sangmook Kim, Se-Young Yun
FedBABU: Toward Enhanced Representation for Federated Image Classification. ICLR (2022)
Jaehoon Oh, Jongwoo Ko, Se-Young Yun
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. EMNLP (2022)
Jaehoon Oh, Se-Young Yun
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning. CoRR (2022)
Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. IJCAI (2021)
Jaehoon Oh, Sangmook Kim, Se-Young Yun
FedBABU: Towards Enhanced Representation for Federated Image Classification. CoRR (2021)
Junwon Bae, Sangjoon Yu, Jaehoon Oh, Tae Hyun Kim, Jae Ho Chung, Hayoung Byun, Myeong Seong Yoon, Chiwon Ahn, Dong Keon Lee
External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray. J. Digit. Imaging 34 (5) (2021)
Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun
BOIL: Towards Representation Change for Few-shot Learning. ICLR (2021)
Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. CoRR (2021)
Jin-Woo Lee, Jaehoon Oh, Yooju Shin, Jae-Gil Lee, Se-Young Yoon
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping. CoRR (2020)
Jin-Woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, Jae-Gil Lee
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture. CoRR (2020)
Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
SIPA: A Simple Framework for Efficient Networks. ICDM (Workshops) (2020)
Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
SIPA: A Simple Framework for Efficient Networks. CoRR (2020)
Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun
Does MAML really want feature reuse only? CoRR (2020)
Jaehoon Oh, Sangmook Kim, Se-Young Yun, Seungwoo Choi, Mun Yong Yi
A pipelined hybrid recommender system for ranking the items on the display. RecSys Challenge (2019)
Jaehoon Oh, Injung Lee, Yeon Seonwoo, Simin Sung, Ilbong Kwon, Jae-Gil Lee
TED Talk Recommender Using Speech Transcripts. ASONAM (2018)
Jaehoon Oh, Duyeon Kim, Se-Young Yun
Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source. CoRR (2018)
Jaehoon Oh, Injung Lee, Yeon Seonwoo, Simin Sung, Ilbong Kwon, Jae-Gil Lee
TED Talk Recommender Using Speech Transcripts. CoRR (2018)
Yoonje Lee, Changsun Kim, Hyuk Joong Choi, Bossng Kang, Jaehoon Oh, Tae Ho Lim
A Feasibility Study of Telementoring for Identifying the Appendix Using Smartphone-Based Telesonography. J. Digit. Imaging 30 (2) (2017)
Changsun Kim, Hyunmin Cha, Bo Seung Kang, Hyuk Joong Choi, Tae Ho Lim, Jaehoon Oh
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. J. Digit. Imaging 29 (3) (2016)
Yeongtak Song, Jaehoon Oh, Tae Ho Lim, Youngjoon Chee
A new method to increase the quality of cardiopulmonary resuscitation in hospital. EMBC (2013)