Jonghwan Mun

Ph.D. in Computer Science and Engineering
Research Scientist at Kakao Brain

Email : jonghwan.mun90 [at] gmail [dot] com
[google scholar] [linkedin]

Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha*, Wooyoung Kang*, Jonghwan Mun*, Byungseok Roh (* equal contribution)
In CVPR 2024, Highlight (324 out of 2719 accepted papers)
[arXiv preprint] [code]

Learning Pseudo-Labeler beyond Noun Concepts for Open-Vocabulary Object Detection
Sunghun Kang, Junbum Cha, Jonghwan Mun, Byungseok Roh, Chang D. Yoo
[arXiv preprint]

Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning
Wooyoung Kang*, Jonghwan Mun*, Sungjun Lee*, Byungseok Roh (* equal contribution)
In ICCV 2023
[arXiv preprint] [code]

Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs
Junbum Cha, Jonghwan Mun, Byungseok Roh
In CVPR 2023
[arXiv preprint] [code]

Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition
Jonghyeon Seon, Jaedong Hwang, Jonghwan Mun, Bohyung Han
In WACV 2023
[arXiv preprint] [code] [poster]

BaSSL: Boundary-aware Self-supervised Learning for Video Scene Segmentation
Jonghwan Mun*, Minchul Shin*, Gunsoo Han, Sangho Lee, Seongsu Ha, Joonseok Lee, Eun-Sol Kim (* equal contribution)
In ACCV 2022
[arXiv preprint] [code] [video]

MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection
Bumsoo Kim, Jonghwan Mun, Kyoung-Woon On, Minchul Shin, Junhyun Lee, Eun-Sol Kim
In CVPR 2022
[paper] [video]

Winning the ICCV’2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts
Minchul Shin, Jonghwan Mun, Kyoung-Woon On, Woo-Young Kang, Gunsoo Han, Eun-Sol Kim
Tech report, VALUE Challenge 2021 winner
[arXiv preprint] [news] [video]

Local-Global Video-Text Interactions for Temporal Grounding
Jonghwan Mun, Minsu Cho, Bohyung Han
In CVPR 2020
[arXiv preprint] [code]

Towards Oracle Knowledge Distillation with Neural Architecture Search
Minsoo Kang*, Jonghwan Mun*, Bohyung Han (* equal contribution)
In AAAI 2020
[arXiv preprint]

Streamlined Dense Video Captioning
Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han
In CVPR 2019, Oral presentation (Acceptance = 288/5160~5.6%)
[arXiv preprint]

Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han
In CVPR 2019
[arXiv preprint] [code]

Learning to Specialize with Knowledge Distillation for Visual Question Answering
Jonghwan Mun, Kimin Lee, Jinwoo Shin, Bohyung Han
In NuerIPS 2018
[paper]

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh, Tackgeun You, Jonghwan Mun, Bohyung Han
In NIPS 2017
[arXiv preprint] [paper] [poster] [video]

MarioQA: Answering Questions by Watching Gameplay Video
Jonghwan Mun*, Paul Hongsuck Seo*, Ilchae Jung, Bohyung Han (* equal contribution)
In ICCV 2017
[arXiv preprint] [paper] [project page]

Text-guided Attention Model for Image Captioning
Jonghwan Mun, Minsu Cho, Bohyung Han
In AAAI 2017
[arXiv preprint] [paper] [code] [project page]