41 citations · 44 across the 6 of their papers we have counts for
14 papers
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search
Thanh Vu, Yanqi Zhou, Chunfeng Wen +2
In this work, we propose a novel and scalable solution to address the challenges of developing efficient dense predictions on edge platforms. Our first key insight is that MultiTas…
Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data
John Lim, Jan-Michael Frahm, Fabian Monrose
Keystroke inference attacks are a form of side-channel attacks in which an attacker leverages various techniques to recover a user's keystrokes as she inputs information into some…
Any-Width Networks
Thanh Vu, Marc Eder, True Price +1
Despite remarkable improvements in speed and accuracy, convolutional neural networks (CNNs) still typically operate as monolithic entities at inference time. This poses a challenge…
Revisiting the Threat Space for Vision-based Keystroke Inference Attacks
John Lim, True Price, Fabian Monrose +1
A vision-based keystroke inference attack is a side-channel attack in which an attacker uses an optical device to record users on their mobile devices and infer their keystrokes. T…
One Shot 3D Photography
Johannes Kopf, Kevin Matzen, Suhib Alsisan +12
3D photography is a new medium that allows viewers to more fully experience a captured moment. In this work, we refer to a 3D photo as one that displays parallax induced by moving…
Reducing Drift in Structure From Motion Using Extended Features
Aleksander Holynski, David Geraghty, Jan-Michael Frahm +2
Low-frequency long-range errors (drift) are an endemic problem in 3D structure from motion, and can often hamper reasonable reconstructions of the scene. In this paper, we present…