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Yunseung Lee
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2020 – today
- 2023
- [j2]Seungwan Seo, Yunseung Lee, Pilsung Kang:
Cost-free adversarial defense: Distance-based optimization for model robustness without adversarial training. Comput. Vis. Image Underst. 227: 103599 (2023) - [c2]Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen:
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 2023: 1526-1535 - [c1]Yunseung Lee, Youngjun Kwak, Jinho Shin:
Robust Face Anti-Spoofing Framework with Convolutional Vision Transformer. ICIP 2023: 1015-1019 - [i3]Yunseung Lee, Youngjun Kwak, Jinho Shin:
Robust face anti-spoofing framework with Convolutional Vision Transformer. CoRR abs/2307.12459 (2023) - [i2]Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim:
1st Place in ICCV 2023 Workshop Challenge Track 1 on Resource Efficient Deep Learning for Computer Vision: Budgeted Model Training Challenge. CoRR abs/2311.11470 (2023) - 2022
- [j1]Yunseung Lee, Pilsung Kang:
AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder. IEEE Access 10: 46717-46724 (2022) - [i1]Yunseung Lee, Pilsung Kang:
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder. CoRR abs/2203.10808 (2022)
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