output
19992025
most citedHFirst: A Temporal Approach to Object Recognition

320 citations

Showing 2020Show all

10 papers · 1 filter

cs.CV2020★ 1 cited

A simulation environment for drone cinematography

Fan Zhang, David Hall, Tao Xu +2

In this paper, we present a workflow for the simulation of drone operations exploiting realistic background environments constructed within Unreal Engine 4 (UE4). Methods for envir…

physics.optics2020★ 35 cited

Non-invasive single-shot recovery of point-spread function of a memory effect based scattering imaging system

Tengfei Wu, Jonathan Dong, Sylvain Gigan

Accessing the point-spread function (PSF) of a complex optical system is important for a variety of imaging applications. However, placing an invasive point source is often impract…

cs.CV2020★ 11 cited

Wavelet Integrated CNNs for Noise-Robust Image Classification

Qiufu Li, Linlin Shen, Sheng Guo +1

Convolutional Neural Networks (CNNs) are generally prone to noise interruptions, i.e., small image noise can cause drastic changes in the output. To suppress the noise effect to th…

eess.IV2020★ 7 cited

Reverse contrast laser Doppler holography for lower frame rate retinal and choroidal blood flow imaging

Leo Puyo, Michel Paques, Michael Atlan

Laser Doppler holography (LDH) is an interferometric blood flow imaging technique based on full-field measurements of the Doppler spectrum. LDH has so far been demonstrated in the…

q-bio.NC2020★ 34 cited

VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model

Francisco Naveros, Niceto R. Luque, Eduardo Ros +1

We embed a spiking cerebellar model within an adaptive real-time (RT) control loop that is able to operate a real robotic body (iCub) when performing different vestibulo-ocular ref…

cs.NE2020★ 7 cited

A Metric for Evaluating Neural Input Representation in Supervised Learning Networks

Richard R Carrillo, Francisco Naveros, Eduardo Ros +1

Supervised learning has long been attributed to several feed-forward neural circuits within the brain, with attention being paid to the cerebellar granular layer. The focus of this…