Youngmin Oh

According to our database, Youngmin Oh authored at least 20 papers between 2016 and 2024.

Collaborative distances:

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

2024

A 28-Gb/s Single-Ended PAM-4 Receiver With T-Coil-Integrated Continuous-Time Linear Equalizer in 40-nm CMOS Technology.

Taeyang Sim, Sun-Ho Yeom, Hyunwoo Im, Youngmin Oh, Hyeongmin Seo, Hyeongjun Ko, Hankyu Chi, Hae-Kang Jung, Jaeduk Han

IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

Data Augmentation Techniques for Accurate Action Classification in Stroke Patients with Hemiparesis.

Youngmin Oh

Sensors, March, 2024

Investigating Activity Recognition for Hemiparetic Stroke Patients Using Wearable Sensors: A Deep Learning Approach with Data Augmentation.

Youngmin Oh, Sol-A Choi, Yumi Shin, Yeonwoo Jeong, Jongkuk Lim, Sujin Kim

Sensors, 2024

Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning.

Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon

CoRR, 2024

uLift: Adaptive Workout Tracker Using a Single Wrist-Worn Accelerometer.

Jongkuk Lim, Youngmin Oh, Younggeun Choi

IEEE Access, 2024

2023

Analysis of Grounded Coplanar Waveguide (GCPW) for High-Speed Links Channel.

Youngmin Oh, Taeyang Sim, Jaeduk Han

Proceedings of the 20th International SoC Design Conference, 2023

ACLS: Adaptive and Conditional Label Smoothing for Network Calibration.

Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham

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

GRAFT: Graph-Assisted Reinforcement Learning for Automated SSD Firmware Testing.

Yoon Hyeok Lee, Youngmin Oh, Gyohun Jeong, Mingyu Pi, Hyukil Kwon, Hakyoung Lim, Eungchae Kim, Sunghee Lee, Bosun Hwang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022

ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation.

Youngmin Oh, Donghyeon Baek, Bumsub Ham

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation.

Donghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, Bumsub Ham

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Model-augmented Prioritized Experience Replay.

Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022

OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search.

Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Model-Augmented Q-learning.

Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

CoRR, 2021

Learning to Sample with Local and Global Contexts in Experience Replay Buffer.

Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

Proceedings of the 9th International Conference on Learning Representations, 2021

Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation.

Donghyeon Baek, Youngmin Oh, Bumsub Ham

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation.

Youngmin Oh, Beomjun Kim, Bumsub Ham

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

2019

Visual Question Answering over Scene Graph.

Soohyeong Lee, Ju-Whan Kim, Youngmin Oh, Joo Hyuk Jeon

Proceedings of the First International Conference on Graph Computing, 2019

2018

Training Deep Neural Network in Limited Precision.

Hyunsun Park, Jun Haeng Lee, Youngmin Oh, Sangwon Ha, Seungwon Lee

CoRR, 2018

2016

Stability, Instability, and Bifurcation in Electrified Thin Films.

Marco A. Fontelos, Hyung Ju Hwang, Youngmin Oh

SIAM J. Math. Anal., 2016

Optimal Schedules in Multitask Motor Learning.

Jeong-Yoon Lee, Youngmin Oh, Sung Shin Kim, Robert A. Scheidt, Nicolas Schweighofer

Neural Comput., 2016