Jaehoon Cho

23 papers A* 3A 2B 1C 2Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning confidence measure with transformer in stereo matching.
Pattern Recognit.
Jini Yang, Minjung Yoo, Jaehoon Cho, Sunok Kim
2025 A* conf
MX+: Pushing the Limits of Microscaling Formats for Efficient Large Language Model Serving.
MICRO
Jungi Lee, Junyong Park, Soohyun Cha, Jaehoon Cho, Jaewoong Sim
2025 J jnl
MX+: Pushing the Limits of Microscaling Formats for Efficient Large Language Model Serving.
CoRR
Jungi Lee, Junyong Park, Soohyun Cha, Jaehoon Cho, Jaewoong Sim
2025 C conf
Optimal Process Design through Compartment Modeling: Spatiotemporal Analysis for Industry-Scale Fermentation Systems.
ACC
Parth Shah, Satchit Nagpal, Jun-Woo Kim, Sang-Min Park, Jaehoon Cho, Jeong-Ho Kim, Dong-Hun Kwak, Joseph Sang-Il Kwon
2024 A conf
A Prototype Unit for Image De-raining using Time-Lapse Data.
BMVC
Jaehoon Cho, Minjung Yoo, Jini Yang, Sunok Kim
2024 J jnl
A Prototype Unit for Image De-raining using Time-Lapse Data.
CoRR
Jaehoon Cho, Minjung Yoo, Jini Yang, Sunok Kim
2024 — conf
CAVA: Cognitive Aid for Vulnerability Analysis.
HICSS
Evelyn Kim, Sunny Fugate, Christian Lebiere, Aidan Barbieux, Jonathan Buch, Jaehoon Cho, Edward A. Cranford, Joseph DiVita, Jeremy Johnson, Mia Levy, Froylan Maldonado, Brianna Marsh, Donald Morrison, Jocelyn Rego, Mitchell Sayer, Alex Waagen, Rajan Bhattacharyya
2024 B conf
Improving Image De-Raining Using Reference-Guided Transformers.
ICIP
Zihao Ye, Jaehoon Cho, Changjae Oh
2024 J jnl
Improving Image De-raining Using Reference-Guided Transformers.
CoRR
Zihao Ye, Jaehoon Cho, Changjae Oh
2024 A* conf
MoNDE: Mixture of Near-Data Experts for Large-Scale Sparse Models.
DAC
Taehyun Kim, Kwanseok Choi, Youngmock Cho, Jaehoon Cho, Hyuk-Jae Lee, Jaewoong Sim
2024 J jnl
MoNDE: Mixture of Near-Data Experts for Large-Scale Sparse Models.
CoRR
Taehyun Kim, Kwanseok Choi, Youngmock Cho, Jaehoon Cho, Hyuk-Jae Lee, Jaewoong Sim
2024 A* conf
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator.
ICRA
Wonhyeok Choi, Mingyu Shin, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im
2024 J jnl
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator.
CoRR
Wonhyeok Choi, Mingyu Shin, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im
2022 J jnl
Memory-Guided Image De-Raining Using Time-Lapse Data.
IEEE Trans. Image Process.
Jaehoon Cho, Seungryong Kim, Kwanghoon Sohn
2022 J jnl
Memory-guided Image De-raining Using Time-Lapse Data.
CoRR
Jaehoon Cho, Seungryong Kim, Kwanghoon Sohn
2021 J jnl
DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes.
CoRR
Jaehoon Cho, Dongbo Min, Youngjung Kim, Kwanghoon Sohn
2021 J jnl
Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset.
Expert Syst. Appl.
Jaehoon Cho, Dongbo Min, Youngjung Kim, Kwanghoon Sohn
2021 A conf
Wide and Narrow: Video Prediction from Context and Motion.
BMVC
Jaehoon Cho, Jiyoung Lee, Changjae Oh, Wonil Song, Kwanghoon Sohn
2021 J jnl
Wide and Narrow: Video Prediction from Context and Motion.
CoRR
Jaehoon Cho, Jiyoung Lee, Changjae Oh, Wonil Song, Kwanghoon Sohn
2020 J jnl
Pyramid Inter-Attention for High Dynamic Range Imaging.
Sensors
Sungil Choi, Jaehoon Cho, Wonil Song, Jihwan Choe, Jisung Yoo, Kwanghoon Sohn
2020 J jnl
Single Image Deraining Using Time-Lapse Data.
IEEE Trans. Image Process.
Jaehoon Cho, Seungryong Kim, Dongbo Min, Kwanghoon Sohn
2019 J jnl
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation.
CoRR
Jaehoon Cho, Dongbo Min, Youngjung Kim, Kwanghoon Sohn
2009 C conf
An architecture for dynamic location description generation from the web for human way-finding.
MoMM
Jaejeung Kim, Jaehoon Cho, Jung-hee Ryu