1 citations · 1 across the 4 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2022
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…
cs.CV2022★ 1 cited
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…
cs.CV2019
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…