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- Menlo SchoolUS21 papers
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17 papers · 1 filter
The Spatial Relation between Young Star Clusters and Molecular Clouds in M 51 with LEGUS
K. Grasha, D. Calzetti, A. Adamo +21
We present a study correlating the spatial locations of young star clusters with those of molecular clouds in NGC~5194, in order to investigate the timescale over which clusters se…
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Mayank Bansal, Alex Krizhevsky, Abhijit Ogale
Our goal is to train a policy for autonomous driving via imitation learning that is robust enough to drive a real vehicle. We find that standard behavior cloning is insufficient fo…
Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks
Samyak Parajuli, Aswin Raghavan, Sek Chai
The use of deep neural networks in edge computing devices hinges on the balance between accuracy and complexity of computations. Ternary Connect (TC) \cite{lin2015neural} addresses…
Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines
Kilho Son, Jesse Hostetler, Sek Chai
Complex image processing and computer vision systems often consist of a processing pipeline of functional modules. We intend to replace parts or all of a target pipeline with deep…
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation
Pallabi Ghosh, Yi Yao, Larry S. Davis +1
We propose novel Stacked Spatio-Temporal Graph Convolutional Networks (Stacked-STGCN) for action segmentation, i.e., predicting and localizing a sequence of actions over long video…
Formally Verified Hardware/Software Co-Design for Remote Attestation
Ivan De Oliveira Nunes, Karim Eldefrawy, Norrathep Rattanavipanon +2
In this work, we take the first step towards formal verification of Remote Attestation (RA) by designing and verifying an architecture called VRASED: Verifiable Remote Attestation…