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ORCIDYoungmin Oh
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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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) - [c16]Doyun Kim, Jaemin Park, Youngmin Oh, Bosun Hwang:
TraceFormer: S-parameter Prediction Framework for PCB Traces based on Graph Transformer. DAC 2024: 237:1-237:6 - [c15]Youngmin Oh, Doyun Kim, Yoon Hyeok Lee, Bosun Hwang:
CRONuS: Circuit Rapid Optimization with Neural Simulator. DATE 2024: 1-6 - [c14]Byunggwan Son, Youngmin Oh, Donghyeon Baek, Bumsub Ham:
FYI: Flip Your Images for Dataset Distillation. ECCV (50) 2024: 214-230 - [c13]Youngmin Oh, Hyung-Il Kim, Seong Tae Kim, Jung Uk Kim:
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection. ECCV (10) 2024: 326-345 - [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 2024-12-23 20:35 CET by the dblp team
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