Saebyeol Shin

According to our database, Saebyeol Shin authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond.

Qizhou Wang, Jin Peng Zhou, Zhanke Zhou, Saebyeol Shin, Bo Han, Kilian Q. Weinberger

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Real-Time User-guided Adaptive Colorization with Vision Transformer.

Gwanghan Lee, Saebyeol Shin, Taeyoung Na, Simon S. Woo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2022

Deepfake Detection for Facial Images with Facemasks.

Donggeun Ko, Sangjun Lee, Jinyong Park, Saebyeol Shin, Donghee Hong, Simon S. Woo

CoRR, 2022

Deepfake Detection for Fake Images with Facemasks.

Sangjun Lee, Donggeun Ko, Jinyong Park, Saebyeol Shin, Donghee Hong, Simon S. Woo

Proceedings of the WDC@AsiaCCS '22: Proceedings of the 1st Workshop on Security Implications of Deepfakes and Cheapfakes, 2022

Accelerating CNN via Dynamic Pattern-based Pruning Network.

Gwanghan Lee, Saebyeol Shin, Simon S. Woo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

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, Donghee Hong, Simon S. Woo

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021