activity
20142023
most citedSTCF Conceptual Design Report: Volume 1 -- Physics & Detector

219 citations · 355 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CV2022★ 28 cited

Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models

Sandro Costa Magalhães, Filipe Neves Santos, Pedro Machado +2

Purpose: Visual perception enables robots to perceive the environment. Visual data is processed using computer vision algorithms that are usually time-expensive and require powerfu…

q-bio.TO2022★ 53 cited

Alternative formulations for gilthead seabream diets: towards a more sustainable production

C. Aragão, M. Cabano, R. Colen +2

To support the expected increase in aquaculture production during the next years, a wider range of alternative ingredients to fishmeal is needed, towards contributing to an increas…

cs.CR2022★ 9 cited

Efficient and Lightweight In-memory Computing Architecture for Hardware Security

Hala Ajmi, Fakhreddine Zayer, Amira Hadj Fredj +4

The paper proposes in-memory computing (IMC) solution for the design and implementation of the Advanced Encryption Standard (AES) based cryptographic algorithm. This research aims…

cs.CV2022★ 1 cited

Robot Person Following in Uniform Crowd Environment

Adarsh Ghimire, Xiaoxiong Zhang, Sajid Javed +2

Person-tracking robots have many applications, such as in security, elderly care, and socializing robots. Such a task is particularly challenging when the person is moving in a Uni…

cs.RO2022

Deep learning framework for robot for person detection and tracking

Adarsh Ghimire, Xiaoxiong Zhang, Naoufel Werghi +2

Robustly tracking a person of interest in the crowd with a robotic platform is one of the cornerstones of human-robot interaction. The robot platform which is limited by the comput…

cs.CV2022★ 8 cited

Real-Time Face Recognition System

Adarsh Ghimire, Naoufel Werghi, Sajid Javed +1

Over the past few decades, interest in algorithms for face recognition has been growing rapidly and has even surpassed human-level performance. Despite their accomplishments, their…

eess.IV2022★ 1 cited

Underwater Image Enhancement Using Pre-trained Transformer

Abderrahmene Boudiaf, Yuhang Guo, Adarsh Ghimire +4

The goal of this work is to apply a denoising image transformer to remove the distortion from underwater images and compare it with other similar approaches. Automatic restoration…