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Youngwan Lee
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2020 – today
- 2022
- [c11]Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang:
MPViT: Multi-Path Vision Transformer for Dense Prediction. CVPR 2022: 7277-7286 - [c10]Youngwan Lee, Joong-Won Hwang, Hyung-Il Kim, Kimin Yun, Yongjin Kwon, Yuseok Bae, Sung Ju Hwang:
Localization Uncertainty Estimation for Anchor-Free Object Detection. ECCV Workshops (8) 2022: 27-42 - [i10]Youngwan Lee, Jeffrey Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang:
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. CoRR abs/2210.02077 (2022) - [i9]Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang:
Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection. CoRR abs/2211.10636 (2022) - 2021
- [j1]Youngwan Lee
, Hyung-Il Kim
, Kimin Yun
, Jinyoung Moon
:
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification. IEEE Access 9: 163054-163064 (2021) - [c9]Joong-won Hwang, Youngwan Lee, Sungchan Oh, Yuseok Bae:
Adversarial Training With Stochastic Weight Average. ICIP 2021: 814-818 - [i8]Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang:
MPViT: Multi-Path Vision Transformer for Dense Prediction. CoRR abs/2112.11010 (2021) - 2020
- [c8]Kangmin Bae, Kimin Yun, Hyung-Il Kim, Youngwan Lee, Jongyoul Park:
Anti-Litter Surveillance based on Person Understanding via Multi-Task Learning. BMVC 2020 - [c7]Youngwan Lee
, Jongyoul Park:
CenterMask: Real-Time Anchor-Free Instance Segmentation. CVPR 2020: 13903-13912 - [i7]Youngwan Lee, Joong-won Hwang, Hyungil Kim
, Kimin Yun, Jongyoul Park:
Localization Uncertainty Estimation for Anchor-Free Object Detection. CoRR abs/2006.15607 (2020) - [i6]Joong-Won Hwang, Youngwan Lee, Sungchan Oh, Yuseok Bae:
Adversarial Training with Stochastic Weight Average. CoRR abs/2009.10526 (2020) - [i5]Youngwan Lee, Hyungil Kim
, Kimin Yun, Jinyoung Moon:
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification. CoRR abs/2012.00317 (2020)
2010 – 2019
- 2019
- [c6]Youngwan Lee
, Joong-Won Hwang, Sangrok Lee, Yuseok Bae, Jongyoul Park:
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection. CVPR Workshops 2019: 752-760 - [i4]Youngwan Lee, Joong-won Hwang, Sangrok Lee, Yuseok Bae, Jongyoul Park:
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection. CoRR abs/1904.09730 (2019) - [i3]Youngwan Lee, Jongyoul Park:
CenterMask : Real-Time Anchor-Free Instance Segmentation. CoRR abs/1911.06667 (2019) - 2017
- [c5]Hui Eun Kim, Youngwan Lee
, Hakil Kim, Xuenan Cui:
Domain-specific data augmentation for on-road object detection based on a deep neural network. Intelligent Vehicles Symposium 2017: 103-108 - [c4]Youngwan Lee
, Huieun Kim, Eunsoo Park, Xuenan Cui, Hakil Kim:
Wide-residual-inception networks for real-time object detection. Intelligent Vehicles Symposium 2017: 758-764 - [i2]Youngwan Lee, Huieun Kim, Eunsoo Park, Xuenan Cui, Hakil Kim:
Wide-Residual-Inception Networks for Real-time Object Detection. CoRR abs/1702.01243 (2017) - [i1]Seung-Hwan Bae, Youngwan Lee, Youngjoo Jo, Yuseok Bae, Joong-won Hwang:
Rank of Experts: Detection Network Ensemble. CoRR abs/1712.00185 (2017) - 2016
- [c3]Youngwan Lee
, Hakil Kim:
Real-time lane detection and departure warning system on embedded platform. ICCE-Berlin 2016: 1-4 - [c2]Huieun Kim, Youngwan Lee
, Taekang Woo, Hakil Kim:
Integration of vehicle and lane detection for forward collision warning system. ICCE-Berlin 2016: 5-8 - [c1]Youngwan Lee
, Cheolyong Jang, Hakil Kim:
Accelerating a computer vision algorithm on a mobile SoC using CPU-GPU co-processing: a case study on face detection. MOBILESoft 2016: 70-76
Coauthor Index

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