activity
20212025
most citedThe Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation

1 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2025

Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty

Michal Tešnar, Bilal Wehbe, Matias Valdenegro-Toro

Machine learning proves effective in constructing dynamics models from data, especially for underwater vehicles. Continuous refinement of these models using incoming data streams,…

cs.CV2025

The Marine Debris Forward-Looking Sonar Datasets

Matias Valdenegro-Toro, Deepan Chakravarthi Padmanabhan, Deepak Singh +2

Sonar sensing is fundamental for underwater robotics, but limited by capabilities of AI systems, which need large training datasets. Public data in sonar modalities is lacking. Thi…

cs.CV2022★ 1 cited

Self-supervised Learning for Sonar Image Classification

Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida +1

Self-supervised learning has proved to be a powerful approach to learn image representations without the need of large labeled datasets. For underwater robotics, it is of great int…

cs.CV2021★ 1 cited

The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation

Deepak Singh, Matias Valdenegro-Toro

Accurate detection and segmentation of marine debris is important for keeping the water bodies clean. This paper presents a novel dataset for marine debris segmentation collected u…

cs.RO2021★ 1 cited

Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study

Mihir Patil, Bilal Wehbe, Matias Valdenegro-Toro

Docking control of an autonomous underwater vehicle (AUV) is a task that is integral to achieving persistent long term autonomy. This work explores the application of state-of-the-…

cs.CV2021

Pre-trained Models for Sonar Images

Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe

Machine learning and neural networks are now ubiquitous in sonar perception, but it lags behind the computer vision field due to the lack of data and pre-trained models specificall…

cs.CV2021

Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty

Arka Mallick, Paul Plöger, Matias Valdenegro-Toro

Application of underwater robots are on the rise, most of them are dependent on sonar for underwater vision, but the lack of strong perception capabilities limits them in this task…