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Youngmin Oh
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2020 – today
- 2024
- [j8]Jongkuk Lim
, Youngmin Oh
, Younggeun Choi
:
uLift: Adaptive Workout Tracker Using a Single Wrist-Worn Accelerometer. IEEE Access 12: 21710-21722 (2024) - [j7]Sanghoon Lee
, Youngmin Oh
, Donghyeon Baek, Junghyup Lee
, Bumsub Ham
:
PLoPS: Localization-aware person search with prototypical normalization. Pattern Recognit. 153: 110479 (2024) - [j6]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): 210 (2024) - [j5]Youngmin Oh
:
Data Augmentation Techniques for Accurate Action Classification in Stroke Patients with Hemiparesis. Sensors 24(5): 1618 (2024) - [j4]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): 1012-1016 (2024) - [j3]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): 2936-2940 (2024) - [c13]Youngmin Oh, Doyun Kim, Yoon Hyeok Lee, Bosun Hwang:
CRONuS: Circuit Rapid Optimization with Neural Simulator. DATE 2024: 1-6 - [c12]Kyu Ri Park, Youngmin Oh, Jung Uk Kim:
Enhancing Audio-Visual Question Answering with Missing Modality via Trans-Modal Associative Learning. ICASSP 2024: 5755-5759 - [i13]Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon:
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning. CoRR abs/2403.05066 (2024) - [i12]Souradip Poddar, Youngmin Oh, Yao Lai, Hanqing Zhu, Bosun Hwang, David Z. Pan:
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers. CoRR abs/2407.07346 (2024) - [i11]Byunggwan Son, Youngmin Oh, Donghyeon Baek, Bumsub Ham:
FYI: Flip Your Images for Dataset Distillation. CoRR abs/2407.08113 (2024) - [i10]Youngmin Oh, Hyung-Il Kim, Seong Tae Kim, Jung Uk Kim:
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection. CoRR abs/2407.16448 (2024) - 2023
- [c11]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: 1-8 - [c10]Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham:
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration. ICCV 2023: 3913-3922 - [c9]Youngmin Oh, Taeyang Sim, Jaeduk Han:
Analysis of Grounded Coplanar Waveguide (GCPW) for High-Speed Links Channel. ISOCC 2023: 117-118 - [i9]Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham:
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration. CoRR abs/2308.11911 (2023) - 2022
- [c8]Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee
, Bumsub Ham:
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search. ECCV (10) 2022: 621-637 - [c7]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-augmented Prioritized Experience Replay. ICLR 2022 - [c6]Donghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, Bumsub Ham:
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation. NeurIPS 2022 - [c5]Youngmin Oh, Donghyeon Baek, Bumsub Ham:
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation. NeurIPS 2022 - [i8]Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham:
OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search. CoRR abs/2207.10320 (2022) - [i7]Donghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, Bumsub Ham:
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation. CoRR abs/2210.05941 (2022) - [i6]Youngmin Oh, Donghyeon Baek, Bumsub Ham:
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation. CoRR abs/2210.06816 (2022) - 2021
- [c4]Youngmin Oh, Beomjun Kim, Bumsub Ham:
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation. CVPR 2021: 6913-6922 - [c3]Donghyeon Baek, Youngmin Oh, Bumsub Ham:
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation. ICCV 2021: 9516-9525 - [c2]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 - [i5]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-Augmented Q-learning. CoRR abs/2102.03866 (2021) - [i4]Youngmin Oh, Beomjun Kim, Bumsub Ham:
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation. CoRR abs/2104.00905 (2021) - [i3]Donghyeon Baek, Youngmin Oh, Bumsub Ham:
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation. CoRR abs/2108.06536 (2021) - 2020
- [i2]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR abs/2007.07358 (2020)
2010 – 2019
- 2019
- [c1]Soohyeong Lee, Ju-Whan Kim, Youngmin Oh, Joo Hyuk Jeon:
Visual Question Answering over Scene Graph. GC 2019: 45-50 - 2018
- [i1]Hyunsun Park, Jun Haeng Lee, Youngmin Oh, Sangwon Ha, Seungwon Lee:
Training Deep Neural Network in Limited Precision. CoRR abs/1810.05486 (2018) - 2016
- [j2]Jeong-Yoon Lee
, Youngmin Oh, Sung Shin Kim
, Robert A. Scheidt
, Nicolas Schweighofer
:
Optimal Schedules in Multitask Motor Learning. Neural Comput. 28(4): 667-685 (2016) - [j1]Marco A. Fontelos
, Hyung Ju Hwang, Youngmin Oh:
Stability, Instability, and Bifurcation in Electrified Thin Films. SIAM J. Math. Anal. 48(4): 2730-2782 (2016)
Coauthor Index
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last updated on 2024-08-22 20:53 CEST by the dblp team
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