2k citations · 2.1k across the 11 of their papers we have counts for
12 papers
U-PEN Mamba: Progressive Expansion with Selective State-Space Modeling for Efficient Retinal Vessel Segmentation
Abel A. Reyes-Angulo, Sidike Paheding, Vijayan K. Asari +2
Accurate retinal vessel segmentation is important for computer-aided ophthalmic analysis, yet thin vessels, low contrast, and severe foreground-background imbalance remain challeng…
Global-Local Contextual Progressive Expansion Network for Martian Landslide Segmentation in Multimodal Remote Sensing Imagery
Leo Thomas Ramos, Sidike Paheding, Abel A. Reyes-Angulo +4
Automated landslide segmentation on Mars is one of the important tasks for understanding its surface processes, and all will aid in future space exploration. However, it remains a…
Self-Directed Task Identification
Timothy Gould, Sidike Paheding
In this work, we present a novel machine learning framework called Self-Directed Task Identification (SDTI), which enables models to autonomously identify the correct target variab…
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…
Forecasting Volcanic Radiative Power (VPR) at Fuego Volcano Using Bayesian Regularized Neural Network
Snehamoy Chatterjee, Greg Waite, Sidike Paheding +1
Forecasting volcanic activity is critical for hazard assessment and risk mitigation. Volcanic Radiative Power (VPR), derived from thermal remote sensing data, serves as an essentia…
Beneath the Surface: The Role of Underwater Image Enhancement in Object Detection
Ali Awad, Ashraf Saleem, Sidike Paheding +3
Underwater imagery often suffers from severe degradation resulting in low visual quality and reduced object detection performance. This work aims to evaluate state-of-the-art image…
Cross-view geo-localization: a survey
Abhilash Durgam, Sidike Paheding, Vikas Dhiman +1
Cross-view geo-localization has garnered notable attention in the realm of computer vision, spurred by the widespread availability of copious geotagged datasets and the advancement…
What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments
Muraleekrishna Gopinathan, Jumana Abu-Khalaf, David Suter +2
Humans use their knowledge of common house layouts obtained from previous experiences to predict nearby rooms while navigating in new environments. This greatly helps them navigate…
The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study
Abel Reyes-Angulo, Sidike Paheding
Skin cancer, a deadly form of cancer, exhibits a 23\% survival rate in the USA with late diagnosis. Early detection can significantly increase the survival rate, and facilitate tim…
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study
Sidike Paheding, Abel A. Reyes-Angulo
The back-propagation algorithm has long been the de-facto standard in optimizing weights and biases in neural networks, particularly in cutting-edge deep learning models. Its wides…
Trends in deep learning for medical hyperspectral image analysis
Uzair Khan, Paheding Sidike, Colin Elkin +1
Deep learning algorithms have seen acute growth of interest in their applications throughout several fields of interest in the last decade, with medical hyperspectral imaging being…
U-Net and its variants for medical image segmentation: theory and applications
Nahian Siddique, Paheding Sidike, Colin Elkin +1
U-net is an image segmentation technique developed primarily for medical image analysis that can precisely segment images using a scarce amount of training data. These traits provi…