output
19952026
most citedHigh-Speed Tracking with Kernelized Correlation Filters

5.8k citations

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11 papers · 1 filter

cs.CV2024★ 34 cited

Markerless Multi-view 3D Human Pose Estimation: a survey

Ana Filipa Rodrigues Nogueira, Hélder P. Oliveira, Luís F. Teixeira

3D human pose estimation involves reconstructing the human skeleton by detecting the body joints. Accurate and efficient solutions are required for several real-world applications…

cs.CV2023★ 13 cited

Neural Implicit Morphing of Face Images

Guilherme Schardong, Tiago Novello, Hallison Paz +4

Face morphing is a problem in computer graphics with numerous artistic and forensic applications. It is challenging due to variations in pose, lighting, gender, and ethnicity. This…

cs.CV2023★ 18 cited

A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification

Ricardo Pereira, Tiago Barros, Luis Garrote +2

This work proposes a novel approach that uses a semantic segmentation mask to obtain a 2D spatial layout of the segmentation-categories across the scene, designated by segmentation…

cs.CV2021★ 185 cited

Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

Sandro A. Magalhães, Luís Castro, Germano Moreira +4

The development of robotic solutions for agriculture requires advanced perception capabilities that can work reliably in any crop stage. For example, to automatise the tomato harve…

cs.CV2021★ 50 cited

Multispectral Vineyard Segmentation: A Deep Learning approach

T. Barros, P. Conde, G. Gonçalves +4

Digital agriculture has evolved significantly over the last few years due to the technological developments in automation and computational intelligence applied to the agricultural…

cs.CV2021★ 18 cited

AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition

Tiago Barros, Luís Garrote, Ricardo Pereira +2

LiDAR-based place recognition is one of the key components of SLAM and global localization in autonomous vehicles and robotics applications. With the success of DL approaches in le…