Search Results for author:
Found 6 papers, 1 papers with code
Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization
This paper proposes an adversarial attack method to deep neural networks (DNNs) for monocular depth estimation, i. e., estimating the depth from a single image.
Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition
This paper proposes a black-box adversarial attack method to automatic speech recognition systems.
Depth estimation from 4D light field videos
Depth (disparity) estimation from 4D Light Field (LF) images has been a research topic for the last couple of years.
Ranked #1 on
Disparity Estimation
on Sintel 4D LFV - bamboo3
Adversarial Example Generation using Evolutionary Multi-objective Optimization
This paper proposes Evolutionary Multi-objective Optimization (EMO)-based Adversarial Example (AE) design method that performs under black-box setting.
Temporal shape super-resolution by intra-frame motion encoding using high-fps structured light
With our method, multiple patterns are projected onto the object with higher fps than possible with a camera.
Active One-Shot Scan for Wide Depth Range Using a Light Field Projector Based on Coded Aperture
The central projection model commonly used to model cameras as well as projectors, results in similar advantages and disadvantages in both types of system.
