Youngmin Oh

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 34

Top Topics

Semantic Segmentation

Top Venues

IEEE Trans. Circuits Syst. II Express Briefs

Publications

Taeyang Sim, Sun-Ho Yeom, Hyunwoo Im, Youngmin Oh, Hyeongmin Seo, Hyeongjun Ko, Hankyu Chi, Hae-Kang Jung, Jaeduk Han
A 28-Gb/s Single-Ended PAM-4 Receiver With T-Coil-Integrated Continuous-Time Linear Equalizer in 40-nm CMOS Technology. IEEE Trans. Circuits Syst. II Express Briefs 71 (3) (2024)
Youngmin Oh, Hyunwoo Im, Jeonghyu Yang, Eunji Song, Dongjun Lee, Sangwan Lee, Tae-ho Shin, Jaeduk Han
A 100-Gb/s PAM-8 Transmitter With 3-Tap FFE and High-Swing Hybrid Driver in 40-nm CMOS Technology. IEEE Trans. Circuits Syst. II Express Briefs 71 (6) (2024)
Byunggwan Son, Youngmin Oh, Donghyeon Baek, Bumsub Ham
FYI: Flip Your Images for Dataset Distillation. CoRR (2024)
Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham
PLoPS: Localization-aware person search with prototypical normalization. Pattern Recognit. 153 (2024)
Youngmin Oh, Hyung-Il Kim, Seong Tae Kim, Jung Uk Kim
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection. CoRR (2024)
Souradip Poddar, Youngmin Oh, Yao Lai, Hanqing Zhu, Bosun Hwang, David Z. Pan
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers. CoRR (2024)
Youngmin Oh, Sol-A Choi, Yumi Shin, Yeonwoo Jeong, Jongkuk Lim, Sujin Kim
Investigating Activity Recognition for Hemiparetic Stroke Patients Using Wearable Sensors: A Deep Learning Approach with Data Augmentation. Sensors 24 (1) (2024)
Youngmin Oh
Data Augmentation Techniques for Accurate Action Classification in Stroke Patients with Hemiparesis. Sensors 24 (5) (2024)
Youngmin Oh, Doyun Kim, Yoon Hyeok Lee, Bosun Hwang
CRONuS: Circuit Rapid Optimization with Neural Simulator. DATE (2024)
Jongkuk Lim, Youngmin Oh, Younggeun Choi
uLift: Adaptive Workout Tracker Using a Single Wrist-Worn Accelerometer. IEEE Access 12 (2024)
Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning. CoRR (2024)
Kyu Ri Park, Youngmin Oh, Jung Uk Kim
Enhancing Audio-Visual Question Answering with Missing Modality via Trans-Modal Associative Learning. ICASSP (2024)
Yoon Hyeok Lee, Youngmin Oh, Gyohun Jeong, Mingyu Pi, Hyukil Kwon, Hakyoung Lim, Eungchae Kim, Sunghee Lee, Bosun Hwang
GRAFT: Graph-Assisted Reinforcement Learning for Automated SSD Firmware Testing. ICCAD (2023)
Youngmin Oh, Taeyang Sim, Jaeduk Han
Analysis of Grounded Coplanar Waveguide (GCPW) for High-Speed Links Channel. ISOCC (2023)
Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration. CoRR (2023)
Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration. ICCV (2023)
Youngmin Oh, Donghyeon Baek, Bumsub Ham
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation. NeurIPS (2022)
Donghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, Bumsub Ham
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation. CoRR (2022)
Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search. ECCV (10) (2022)
Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Model-augmented Prioritized Experience Replay. ICLR (2022)
Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham
OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search. CoRR (2022)
Youngmin Oh, Donghyeon Baek, Bumsub Ham
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation. CoRR (2022)
Donghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, Bumsub Ham
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation. NeurIPS (2022)
Youngmin Oh, Beomjun Kim, Bumsub Ham
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation. CVPR (2021)
Donghyeon Baek, Youngmin Oh, Bumsub Ham
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation. CoRR (2021)
Youngmin Oh, Beomjun Kim, Bumsub Ham
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation. CoRR (2021)
Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Model-Augmented Q-learning. CoRR (2021)
Donghyeon Baek, Youngmin Oh, Bumsub Ham
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation. ICCV (2021)
Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. ICLR (2021)
Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR (2020)
Soohyeong Lee, Ju-Whan Kim, Youngmin Oh, Joo Hyuk Jeon
Visual Question Answering over Scene Graph. GC (2019)
Hyunsun Park, Jun Haeng Lee, Youngmin Oh, Sangwon Ha, Seungwon Lee
Training Deep Neural Network in Limited Precision. CoRR (2018)
Jeong-Yoon Lee, Youngmin Oh, Sung Shin Kim, Robert A. Scheidt, Nicolas Schweighofer
Optimal Schedules in Multitask Motor Learning. Neural Comput. 28 (4) (2016)
Marco A. Fontelos, Hyung Ju Hwang, Youngmin Oh
Stability, Instability, and Bifurcation in Electrified Thin Films. SIAM J. Math. Anal. 48 (4) (2016)