Jaehoon Cho

According to our database, Jaehoon Cho authored at least 16 papers between 2019 and 2025.

Collaborative distances:

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

2025

MX+: Pushing the Limits of Microscaling Formats for Efficient Large Language Model Serving.

Jungi Lee, Junyong Park, Soohyun Cha, Jaehoon Cho, Jaewoong Sim

CoRR, October, 2025

Learning confidence measure with transformer in stereo matching.

Jini Yang, Minjung Yoo, Jaehoon Cho, Sunok Kim

Pattern Recognit., 2025

MX+: Pushing the Limits of Microscaling Formats for Efficient Large Language Model Serving.

Jungi Lee, Junyong Park, Soohyun Cha, Jaehoon Cho, Jaewoong Sim

Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

Optimal Process Design through Compartment Modeling: Spatiotemporal Analysis for Industry-Scale Fermentation Systems.

Parth Shah, Satchit Nagpal, Jun-Woo Kim, Sang-Min Park, Jaehoon Cho, Jeong-Ho Kim, Dong-Hun Kwak, Joseph Sang-Il Kwon

Proceedings of the 2025 American Control Conference, 2025

2024

Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator.

Wonhyeok Choi, Mingyu Shin, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Improving Image De-Raining Using Reference-Guided Transformers.

Zihao Ye, Jaehoon Cho, Changjae Oh

Proceedings of the IEEE International Conference on Image Processing, 2024

CAVA: Cognitive Aid for Vulnerability Analysis.

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

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

MoNDE: Mixture of Near-Data Experts for Large-Scale Sparse Models.

Taehyun Kim, Kwanseok Choi, Youngmock Cho, Jaehoon Cho, Hyuk-Jae Lee, Jaewoong Sim

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

A Prototype Unit for Image De-raining using Time-Lapse Data.

Jaehoon Cho, Minjung Yoo, Jini Yang, Sunok Kim

Proceedings of the 35th British Machine Vision Conference, 2024

2022

Memory-Guided Image De-Raining Using Time-Lapse Data.

Jaehoon Cho, Seungryong Kim, Kwanghoon Sohn

IEEE Trans. Image Process., 2022

2021

Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset.

Jaehoon Cho, Dongbo Min, Youngjung Kim, Kwanghoon Sohn

Expert Syst. Appl., 2021

DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes.

Jaehoon Cho, Dongbo Min, Youngjung Kim, Kwanghoon Sohn

CoRR, 2021

Wide and Narrow: Video Prediction from Context and Motion.

Jaehoon Cho, Jiyoung Lee, Changjae Oh, Wonil Song, Kwanghoon Sohn

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Single Image Deraining Using Time-Lapse Data.

Jaehoon Cho, Seungryong Kim, Dongbo Min, Kwanghoon Sohn

IEEE Trans. Image Process., 2020

Pyramid Inter-Attention for High Dynamic Range Imaging.

Sungil Choi, Jaehoon Cho, Wonil Song, Jihwan Choe, Jisung Yoo, Kwanghoon Sohn

Sensors, 2020

2019

A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation.

Jaehoon Cho, Dongbo Min, Youngjung Kim, Kwanghoon Sohn

CoRR, 2019