164 citations · 263 across the 8 of their papers we have counts for
9 papers
StrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery
Leo Thomas Ramos, Angel D. Sappa
We present StrokeNeXt, a model for stroke classification in 2D Computed Tomography (CT) images. StrokeNeXt employs a dual-branch design with two ConvNeXt encoders, whose features a…
Multi-encoder ConvNeXt Network with Smooth Attentional Feature Fusion for Multispectral Semantic Segmentation
Leo Thomas Ramos, Angel D. Sappa
This work proposes MeCSAFNet, a multi-branch encoder-decoder architecture for land cover segmentation in multispectral imagery. The model separately processes visible and non-visib…
MMLSv2: A Multimodal Dataset for Martian Landslide Detection in Remote Sensing Imagery
Sidike Paheding, Abel Reyes-Angulo, Leo Thomas Ramos +5
We present MMLSv2, a dataset for landslide segmentation on Martian surfaces. MMLSv2 consists of multimodal imagery with seven bands: RGB, digital elevation model, slope, thermal in…
A Decade of You Only Look Once (YOLO) for Object Detection: A Review
Leo Thomas Ramos, Angel D. Sappa
This review marks the tenth anniversary of You Only Look Once (YOLO), one of the most influential frameworks in real-time object detection. Over the past decade, YOLO has evolved f…
Tiny and Efficient Model for the Edge Detection Generalization
Xavier Soria, Yachuan Li, Mohammad Rouhani +1
Most high-level computer vision tasks rely on low-level image operations as their initial processes. Operations such as edge detection, image enhancement, and super-resolution, pro…
A sensor-to-pattern calibration framework for multi-modal industrial collaborative cells
Daniela Rato, Miguel Oliveira, Vítor Santos +2
Collaborative robotic industrial cells are workspaces where robots collaborate with human operators. In this context, safety is paramount, and for that a complete perception of the…
Dense Extreme Inception Network for Edge Detection
Xavier Soria, Angel Sappa, Patricio Humanante +1
<<<This is a pre-acceptance version, please, go through Pattern Recognition Journal on Sciencedirect to read the final version>>>. Edge detection is the basis of many computer visi…
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution
Armin Mehri, Parichehr B. Ardakani, Angel D. Sappa
Lightweight super resolution networks have extremely importance for real-world applications. In recent years several SR deep learning approaches with outstanding achievement have b…
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
Xavier Soria, Edgar Riba, Angel D. Sappa
This paper proposes a Deep Learning based edge detector, which is inspired on both HED (Holistically-Nested Edge Detection) and Xception networks. The proposed approach generates t…