Publications

* indicates Equal Contribution

	Unveiling the Intertwined Relationship Between Essential Sparsity and Robustness in Large Pre-trained Models Saebyeol Shin, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang Data-centric Machine Learning Research (DMLR) Workshop at ICLR, 2024 paper
	Real-Time User-guided Adaptive Colorization with Vision Transformer Gwanghan Lee*, Saebyeol Shin*, Taeyoung Na, Simon S. Woo IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 paper
	A-ColViT: Real-time Interactive Colorization by Adaptive Vision Transformer Gwanghan Lee*, Saebyeol Shin*, Donggeun Ko, Jiyeon Jung, Simon S. Woo International Workshop on Practical Deep Learning in the Wild at AAAI, 2023 paper code
	Deepfake Detection using Effective Mask Attention Saebyeol Shin, Simon S. Woo Korean Artificial Intelligence Association (KAIA), 2023 paper
	Accelerating CNN via Dynamic Pattern‑based Pruning Network Gwanghan Lee, Saebyeol Shin, Simon S. Woo ACM International Conference on Information & Knowledge Management (CIKM), 2022 paper code website
	Efficient Multi-Scale Feature Generation Network Gwanghan Lee, Saebyeol Shin, Simon S. Woo Korea Computer Congress (KCC), 2022 paper
	Deepfake Detection for Fake Images with Facemasks Sangjun Lee*, Donggeun Ko*, Jinyong Park, Saebyeol Shin, Donghee Hong, Simon S. Woo ACM Workshop on the security implications of Deepfakes and Cheapfakes (WDC), 2022 paper
	VFP290K: A Large‑Scale Benchmark Dataset for Vision‑based Fallen Person Detection Jaeju An*, Jeongho Kim*, Hanbeen Lee, Jinbeom Kim, Junhyung Kang, Minha Kim, Saebyeol Shin, Minha Kim, Donghee Hong, Simon S. Woo Neural Information Processing Systems (NeurIPS), 2021 paper code website