I am a Ph.D. student at the Artificial Intelligence and Robotics Lab., Department of Software Convergence, Kyung Hee University, Republic of Korea. I study visual perception using deep neural representation. I received B.S. degree in the Department of Software at Gachon University in 2022 and M.S. degree in the Department of Software Convergence at Kyung Hee University in 2024. My research interest includes Computer Vision, Deep Representation Learning, and Model Compression. Recently, I focus on model compression in the perspective of redundant representation of neural networks.
Ph.D. in Artificial Intelligence, 2024 - Present
Kyung Hee Univeresity
M.S. in Artificial Intelligence, 2022 - 2024
Kyung Hee University
B.S. in Computer Science, 2018 - 2022
Gachon University
The paper introduces A2XP, a novel approach for domain generalization, which optimizes prompts for each source domain and combines them for robust performance across domains, while also preserving privacy and integrity of the network architecture. Experimental results demonstrate its state-of-the-art performance in computer vision tasks and its potential for broader applications.
Responsibilities include:
Deep Learning / Knowledge Distillation / Probabilistics
Responsibilities include:
PyTorch / Deep Learning / Probabilistics / Linear Algebra
Subjects include:
Responsibilities include:
C++ / VTK / Linear Algebra / Geometry
Subjects include: