1 citations · 1 across the 4 of their papers we have counts for
4 papers
Privacy Safe Representation Learning via Frequency Filtering Encoder
Jonghu Jeong, Minyong Cho, Philipp Benz +4
Deep learning models are increasingly deployed in real-world applications. These models are often deployed on the server-side and receive user data in an information-rich represent…
Towards Sequence-Level Training for Visual Tracking
Minji Kim, Seungkwan Lee, Jungseul Ok +2
Despite the extensive adoption of machine learning on the task of visual object tracking, recent learning-based approaches have largely overlooked the fact that visual tracking is…
Balanced Encoding of Near-Zero Correlation for an AES Implementation
Seungkwang Lee, Jeong-Nyeo Kim
Power analysis poses a significant threat to the security of cryptographic algorithms, as it can be leveraged to recover secret keys. While various software-based countermeasures e…
Universal Bounding Box Regression and Its Applications
Seungkwan Lee, Suha Kwak, Minsu Cho
Bounding-box regression is a popular technique to refine or predict localization boxes in recent object detection approaches. Typically, bounding-box regressors are trained to regr…