Integration of vehicle and lane detection for forward collision warning system. - Huieun Kim; Youngwan Lee; Taekang Woo; Hakil Kim (ICCE-Berlin, 2016)

Real-time lane detection and departure warning system on embedded platform. - Youngwan Lee; Hakil Kim (ICCE-Berlin, 2016)

Accelerating a computer vision algorithm on a mobile SoC using CPU-GPU co-processing: a case study on face detection. - Youngwan Lee; Cheolyong Jang; Hakil Kim (MOBILESoft, 2016)

Domain-specific data augmentation for on-road object detection based on a deep neural network. - Hui Eun Kim; Youngwan Lee; Hakil Kim; Xuenan Cui (Intelligent Vehicles Symposium, 2017)

Wide-residual-inception networks for real-time object detection. - Youngwan Lee; Huieun Kim; Eunsoo Park; Xuenan Cui; Hakil Kim (Intelligent Vehicles Symposium, 2017)

Rank of Experts: Detection Network Ensemble. - Seung-Hwan Bae; Youngwan Lee; Youngjoo Jo; Yuseok Bae; Joong-won Hwang (CoRR, 2017)

An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection. - Youngwan Lee; Joong-Won Hwang; Sangrok Lee; Yuseok Bae; Jongyoul Park (CVPR Workshops, 2019)

Anti-Litter Surveillance based on Person Understanding via Multi-Task Learning. - Kangmin Bae; Kimin Yun; Hyung-Il Kim; Youngwan Lee; Jongyoul Park (BMVC, 2020)

CenterMask: Real-Time Anchor-Free Instance Segmentation. - Youngwan Lee; Jongyoul Park (CVPR, 2020)

Localization Uncertainty Estimation for Anchor-Free Object Detection. - Youngwan Lee; Joong-won Hwang; Hyungil Kim; Kimin Yun; Jongyoul Park (CoRR, 2020)

Adversarial Training With Stochastic Weight Average. - Joong-won Hwang; Youngwan Lee; Sungchan Oh; Yuseok Bae (ICIP, 2021)

Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification. - Youngwan Lee; Hyung-Il Kim; Kimin Yun; Jinyoung Moon (IEEE Access, 2021)

MPViT: Multi-Path Vision Transformer for Dense Prediction. - Youngwan Lee; Jonghee Kim; Jeffrey Willette; Sung Ju Hwang (CVPR, 2022)

Localization Uncertainty Estimation for Anchor-Free Object Detection. - Youngwan Lee; Joong-Won Hwang; Hyung-Il Kim; Kimin Yun; Yongjin Kwon; Yuseok Bae; Sung Ju Hwang (ECCV Workshops (8), 2022)

Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection. - Sunil Hwang; Jaehong Yoon; Youngwan Lee; Sung Ju Hwang (CoRR, 2022)

T2V2T: Text-to-Video-to-Text Fusion for Text-to-Video Retrieval. - Jonghee Kim; Youngwan Lee; Jinyoung Moon (CVPR Workshops, 2023)

Sparse Token Transformer with Attention Back Tracking. - Heejun Lee; Minki Kang; Youngwan Lee; Sung Ju Hwang (ICLR, 2023)

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. - Youngwan Lee; Jeffrey Ryan Willette; Jonghee Kim; Juho Lee 001; Sung Ju Hwang (ICLR, 2023)

KOALA: Self-Attention Matters in Knowledge Distillation of Latent Diffusion Models for Memory-Efficient and Fast Image Synthesis. - Youngwan Lee; Kwanyong Park; Yoorhim Cho; Yong-Ju Lee; Sung Ju Hwang (CoRR, 2023)

EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens. - Sunil Hwang; Jaehong Yoon; Youngwan Lee; Sung Ju Hwang (ICML, 2024)

KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis. - Youngwan Lee; Kwanyong Park; Yoorhim Cho; Yong-Ju Lee; Sung Ju Hwang (NeurIPS, 2024)

Compact GaN HEMT Power Amplifier MMIC Delivering Over 40 W for Ku-Band Applications. - Yeong Min Jang; Wonseok Choe; Minchul Kim; Youngwan Lee; Jinho Jeong 001 (IEEE Access, 2024)

Visualizing the loss landscape of Self-supervised Vision Transformer. - Youngwan Lee; Jeffrey Ryan Willette; Jonghee Kim; Sung Ju Hwang (CoRR, 2024)

PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation. - Injoon Hwang; Haewon Park; Youngwan Lee; Jooyoung Yang; SunJae Maeng (CoRR, 2024)

HiP Attention: Sparse Sub-Quadratic Attention with Hierarchical Attention Pruning. - Heejun Lee; Geon Park; Youngwan Lee; Jina Kim; Wonyoung Jeong; Myeongjae Jeon; Sung Ju Hwang (CoRR, 2024)

Training-Free Exponential Extension of Sliding Window Context with Cascading KV Cache. - Jeffrey Willette; Heejun Lee; Youngwan Lee; Myeongjae Jeon; Sung Ju Hwang (CoRR, 2024)

Dynamic and Super-Personalized Media Ecosystem Driven by Generative AI: Unpredictable Plays Never Repeating the Same. - Sungjun Ahn; Hyun-Jeong Yim; Youngwan Lee; Sung-Ik Park (IEEE Trans. Broadcast., 2024)

VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding. - Kangsan Kim; Geon Park; Youngwan Lee; Woongyeong Yeo; Sung Ju Hwang (CVPR, 2025)

A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention. - Heejun Lee; Geon Park; Youngwan Lee; Jaduk Suh; Jina Kim; Wonyong Jeong; Bumsik Kim; Hyemin Lee; Myeongjae Jeon; Sung Ju Hwang (ICLR, 2025)

Training Free Exponential Context Extension via Cascading KV Cache. - Jeffrey Willette; Heejun Lee; Youngwan Lee; Myeongjae Jeon; Sung Ju Hwang (ICLR, 2025)

HoliSafe: Holistic Safety Benchmarking and Modeling with Safety Meta Token for Vision-Language Model. - Youngwan Lee; Kangsan Kim; Kwanyong Park; Ilcahe Jung; Soojin Jang; Seanie Lee; Yong-Ju Lee; Sung Ju Hwang (CoRR, 2025)

SIA: Enhancing Safety via Intent Awareness for Vision-Language Models. - Youngjin Na; Sangheon Jeong; Youngwan Lee (CoRR, 2025)