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2020 – today
- 2024
[j2]Sungjun Ahn
, Hyun-Jeong Yim, Youngwan Lee, Sung-Ik Park:
Dynamic and Super-Personalized Media Ecosystem Driven by Generative AI: Unpredictable Plays Never Repeating the Same. IEEE Trans. Broadcast. 70(3): 980-994 (2024)- [c15]Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang:
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens. ICML 2024 - [i16]Sungjun Ahn, Hyun-Jeong Yim, Youngwan Lee, Sung-Ik Park:
Dynamic and Super-Personalized Media Ecosystem Driven by Generative AI: Unpredictable Plays Never Repeating The Same. CoRR abs/2402.12412 (2024) - [i15]Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Sung Ju Hwang:
Visualizing the loss landscape of Self-supervised Vision Transformer. CoRR abs/2405.18042 (2024) - [i14]Injoon Hwang, Haewon Park, Youngwan Lee, Jooyoung Yang, SunJae Maeng:
PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation. CoRR abs/2406.09117 (2024) - [i13]Heejun Lee, Geon Park, Youngwan Lee, Jina Kim, Wonyoung Jeong, Myeongjae Jeon, Sung Ju Hwang:
HiP Attention: Sparse Sub-Quadratic Attention with Hierarchical Attention Pruning. CoRR abs/2406.09827 (2024) - [i12]Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang:
Training-Free Exponential Extension of Sliding Window Context with Cascading KV Cache. CoRR abs/2406.17808 (2024) - 2023
- [c14]Jonghee Kim, Youngwan Lee, Jinyoung Moon:
T2V2T: Text-to-Video-to-Text Fusion for Text-to-Video Retrieval. CVPR Workshops 2023: 5613-5618 - [c13]Heejun Lee, Minki Kang, Youngwan Lee, Sung Ju Hwang:
Sparse Token Transformer with Attention Back Tracking. ICLR 2023 - [c12]Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang:
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. ICLR 2023 - [i11]Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang:
KOALA: Self-Attention Matters in Knowledge Distillation of Latent Diffusion Models for Memory-Efficient and Fast Image Synthesis. CoRR abs/2312.04005 (2023) - 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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