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cs.LG2023
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective
HyeongGwon Hong, Yooshin Cho, Hanbyel Cho +2
Gradient inversion attacks can leak data privacy when clients share weight updates with the server in federated learning (FL). Existing studies mainly use L2 or cosine distance as…
cs.CV2023
Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view
Hanbyel Cho, Yooshin Cho, Jaesung Ahn +1
From an image of a person, we can easily infer the natural 3D pose and shape of the person even if ambiguity exists. This is because we have a mental model that allows us to imagin…
cs.CV2023
Localization using Multi-Focal Spatial Attention for Masked Face Recognition
Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong +4
Since the beginning of world-wide COVID-19 pandemic, facial masks have been recommended to limit the spread of the disease. However, these masks hide certain facial attributes. Hen…