Byungseok Roh

According to our database, Byungseok Roh authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling.

Jawook Gu, Han-Cheol Cho, Jiho Kim, Kihyun You, Eun Kyoung Hong, Byungseok Roh

CoRR, 2024

2023

Honeybee: Locality-enhanced Projector for Multimodal LLM.

Junbum Cha, Wooyoung Kang, Jonghwan Mun, Byungseok Roh

CoRR, 2023

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

Sunghun Kang, Junbum Cha, Jonghwan Mun, Byungseok Roh, Chang D. Yoo

CoRR, 2023

Large Language Models are Temporal and Causal Reasoners for Video Question Answering.

Dohwan Ko, Ji Soo Lee, Woo-Young Kang, Byungseok Roh, Hyunwoo J. Kim

CoRR, 2023

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning.

Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Woo-Young Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun

CoRR, 2023

Open-Vocabulary Object Detection using Pseudo Caption Labels.

Han-Cheol Cho, Won Young Jhoo, Woo-Young Kang, Byungseok Roh

CoRR, 2023

CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training.

Kihyun You, Jawook Gu, Jiyeon Ham, Beomhee Park, Jiho Kim, Eun Kyoung Hong, Woonhyuk Baek, Byungseok Roh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning.

Wooyoung Kang, Jonghwan Mun, Sungjun Lee, Byungseok Roh

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

Large Language Models are Temporal and Causal Reasoners for Video Question Answering.

Dohwan Ko, Ji Soo Lee, Woo-Young Kang, Byungseok Roh, Hyunwoo Kim

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models.

Dohwan Ko, Joonmyung Choi, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim

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

Learning to Generate Text-Grounded Mask for Open-World Semantic Segmentation from Only Image-Text Pairs.

Junbum Cha, Jonghwan Mun, Byungseok Roh

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

2022

Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity.

Byungseok Roh, Jaewoong Shin, Wuhyun Shin, Saehoon Kim

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss.

Youhan Lee, Kyungtae Lim, Woonhyuk Baek, Byungseok Roh, Saehoon Kim

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Spatially Consistent Representation Learning.

Byungseok Roh, Wuhyun Shin, Ildoo Kim, Sungwoong Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Accelerating Object Detection by Erasing Background Activations.

Byungseok Roh, Han-Cheol Cho, Myung-Ho Ju, Soon Hyung Pyo

CoRR, 2020