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27 papers · 1 filter
SODA: Protecting Proprietary Information in On-Device Machine Learning Models
Akanksha Atrey, Ritwik Sinha, Saayan Mitra +1
The growth of low-end hardware has led to a proliferation of machine learning-based services in edge applications. These applications gather contextual information about users and…
On the verification of Embeddings using Hybrid Markov Logic
Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel +1
The standard approach to verify representations learned by Deep Neural Networks is to use them in specific tasks such as classification or regression, and measure their performance…
RNA: Relightable Neural Assets
Krishna Mullia, Fujun Luan, Xin Sun +1
High-fidelity 3D assets with materials composed of fibers (including hair), complex layered material shaders, or fine scattering geometry are ubiquitous in high-end realistic rende…
FocalPose++: Focal Length and Object Pose Estimation via Render and Compare
Martin Cífka, Georgy Ponimatkin, Yann Labbé +4
We introduce FocalPose++, a neural render-and-compare method for jointly estimating the camera-object 6D pose and camera focal length given a single RGB input image depicting a kno…
Explorable Mesh Deformation Subspaces from Unstructured Generative Models
Arman Maesumi, Paul Guerrero, Vladimir G. Kim +4
Exploring variations of 3D shapes is a time-consuming process in traditional 3D modeling tools. Deep generative models of 3D shapes often feature continuous latent spaces that can,…
GroundLink: A Dataset Unifying Human Body Movement and Ground Reaction Dynamics
Xingjian Han, Benjamin Senderling, Stanley To +3
The physical plausibility of human motions is vital to various applications in fields including but not limited to graphics, animation, robotics, vision, biomechanics, and sports s…