26 citations · 30 across the 12 of their papers we have counts for
15 papers
Weakly Supervised Seafloor Segmentation for Seagrass Habitat Mapping in Side-Scan Sonar Imagery
Hayat Rajani, Nuno Gracias, Rafael Garcia
Seagrass meadows are crucial blue-carbon habitats, and mapping their extent is a prerequisite for coastal management and carbon inventory. Optical satellite sensors cover large are…
BenthicDINO: Physics-Informed Self-Distillation for View-Invariant Side-Scan Sonar Representations
Taqi Hamoda, Hayat Rajani, Nuno Gracias
Automated interpretation of side-scan sonar (SSS) imagery is traditionally hindered by view-dependence, as recorded intensities inextricably conflate intrinsic seabed reflectivity…
SC-Match: Scale-Space Matching with Context Consistency for Side-Scan Sonar Mapping
Can Lei, Rafael Garcia, Nuno Gracias +2
Reliable estimation of spatial correspondences between overlapping side-scan sonar (SSS) measurements is essential for mapping, but acoustic appearance variations, weak seabed text…
Geometric Correction of Side-Scan Sonar Images with Image-Consistent Attitude Refinement
Can Lei, Valerio Franchi, Hayat Rajani +3
Side-scan sonar (SSS) images are susceptible to motion-induced geometric distortion, which degrades their reliability for seabed interpretation and downstream tasks. Existing corre…
Physically Motivated Knowledge Distillation for Blind Geometric Correction of Side-Scan Sonar Imagery
Can Lei, Hayat Rajani, Valerio Franchi +4
Side-scan sonar (SSS) imagery is susceptible to geometric distortions caused by platform motion instability, which degrade geometric consistency and limit downstream analyses such…
PhysDNet: Physics-Guided Decomposition Network of Side-Scan Sonar Imagery
Can Lei, Hayat Rajani, Nuno Gracias +2
Side-scan sonar (SSS) imagery is widely used for seafloor mapping and underwater remote sensing, yet the measured intensity is strongly influenced by seabed reflectivity, terrain e…
Coarse-to-Fine Non-Rigid Registration for Side-Scan Sonar Mosaicking
Can Lei, Nuno Gracias, Rafael Garcia +2
Side-scan sonar mosaicking plays a crucial role in large-scale seabed mapping but is challenged by complex non-linear, spatially varying distortions due to diverse sonar acquisitio…
BenthiCat: An opti-acoustic dataset for advancing benthic classification and habitat mapping
Hayat Rajani, Valerio Franchi, Borja Martinez-Clavel Valles +3
Benthic habitat mapping is fundamental for understanding marine ecosystems, guiding conservation efforts, and supporting sustainable resource management. Yet, the scarcity of large…
A Geometrically Consistent Matching Framework for Side-Scan Sonar Mapping
Can Lei, Hayat Rajani, Nuno Gracias +2
Robust matching of side-scan sonar imagery remains a fundamental challenge in seafloor mapping due to view-dependent backscatter, shadows, and geometric distortion. This paper prop…
eStonefish-Scenes: A Sim-to-Real Validated and Robot-Centric Event-based Optical Flow Dataset for Underwater Vehicles
Jad Mansour, Sebastian Realpe, Hayat Rajani +3
Event-based cameras (EBCs) are poised to transform underwater robotics, yet the absence of labelled event-based datasets for underwater environments severely limits progress in tas…
Hyperspectral Imaging for Identifying Foreign Objects on Pork Belly
Gabriela Ghimpeteanu, Hayat Rajani, Josep Quintana +1
Ensuring food safety and quality is critical in the food processing industry, where the detection of contaminants remains a persistent challenge. This study presents an automated s…
Stonefish: Supporting Machine Learning Research in Marine Robotics
Michele Grimaldi, Patryk Cieslak, Eduardo Ochoa +6
Simulations are highly valuable in marine robotics, offering a cost-effective and controlled environment for testing in the challenging conditions of underwater and surface operati…
The iToBoS dataset: skin region images extracted from 3D total body photographs for lesion detection
Anup Saha, Joseph Adeola, Nuria Ferrera +14
Artificial intelligence has significantly advanced skin cancer diagnosis by enabling rapid and accurate detection of malignant lesions. In this domain, most publicly available imag…
eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
Jad Mansour, Hayat Rajani, Rafael Garcia +1
The joint use of event-based vision and Spiking Neural Networks (SNNs) is expected to have a large impact in robotics in the near future, in tasks such as, visual odometry and obst…
A Convolutional Vision Transformer for Semantic Segmentation of Side-Scan Sonar Data
Hayat Rajani, Nuno Gracias, Rafael Garcia
Distinguishing among different marine benthic habitat characteristics is of key importance in a wide set of seabed operations ranging from installations of oil rigs to laying netwo…