Matias Valdenegro-Toro

Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?

Deep Reinforcement Learning (DRL) connects the classic Reinforcement Lea...
12/02/2020 ∙ by Matthias Rosynski, et al. ∙ 11 ∙ share

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Unsupervised Difficulty Estimation with Action Scores

Evaluating difficulty and biases in machine learning models has become o...
11/23/2020 ∙ by Octavio Arriaga, et al. ∙ 0 ∙ share

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Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning

Around the globe, ticks are the culprit of transmitting a variety of bac...
11/23/2020 ∙ by Lauren Michelle Pfeifer, et al. ∙ 0 ∙ share

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Black-Box Optimization of Object Detector Scales

Object detectors have improved considerably in the last years by using a...
10/29/2020 ∙ by Mohandass Muthuraja, et al. ∙ 0 ∙ share

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Perception for Autonomous Systems (PAZ)

In this paper we introduce the Perception for Autonomous Systems (PAZ) s...
10/27/2020 ∙ by Octavio Arriaga, et al. ∙ 0 ∙ share

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Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?

Reinforcement learning (RL) algorithms should learn as much as possible ...
10/27/2020 ∙ by Aaqib Parvez Mohammed, et al. ∙ 0 ∙ share

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Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation

Estimating epistemic uncertainty of models used in low-latency applicati...
10/27/2020 ∙ by Akshatha Kamath, et al. ∙ 0 ∙ share

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Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks!

Facial emotion recognition is the task to classify human emotions in fac...
08/17/2020 ∙ by Maryam Matin, et al. ∙ 0 ∙ share

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Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds

Deep learning models are extensively used in various safety critical app...
07/03/2020 ∙ by Swaroop Bhandary K, et al. ∙ 0 ∙ share

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Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics

Marine and Underwater resources are important part of the economy of man...
10/29/2019 ∙ by Matias Valdenegro-Toro, et al. ∙ 7 ∙ share

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Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification

Fast estimates of model uncertainty are required for many robust robotic...
10/17/2019 ∙ by Matias Valdenegro-Toro, et al. ∙ 0 ∙ share

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Learning Objectness from Sonar Images for Class-Independent Object Detection

Detecting novel objects without class information is not trivial, as it ...
07/01/2019 ∙ by Matias Valdenegro-Toro, et al. ∙ 0 ∙ share

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Deep Neural Networks for Marine Debris Detection in Sonar Images

Garbage and waste disposal is one of the biggest challenges currently fa...
05/13/2019 ∙ by Matias Valdenegro-Toro, et al. ∙ 0 ∙ share

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Implementing Noise with Hash functions for Graphics Processing Units

We propose a modification to Perlin noise which use computable hash func...
03/28/2019 ∙ by Matias Valdenegro-Toro, et al. ∙ 0 ∙ share

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Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks

Noncritical soft-faults and model deviations are a challenge for Fault D...
07/11/2018 ∙ by Samy Nascimento, et al. ∙ 0 ∙ share

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Image Captioning and Classification of Dangerous Situations

Current robot platforms are being employed to collaborate with humans in...
11/07/2017 ∙ by Octavio Arriaga, et al. ∙ 0 ∙ share

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Real-time Convolutional Neural Networks for Emotion and Gender Classification

In this paper we propose an implement a general convolutional neural net...
10/20/2017 ∙ by Octavio Arriaga, et al. ∙ 0 ∙ share

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Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition

Convolutional Neural Networks (CNN) have revolutionized perception for c...
09/08/2017 ∙ by Matias Valdenegro-Toro, et al. ∙ 0 ∙ share

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Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks

Forward-looking sonar can capture high resolution images of underwater s...
09/08/2017 ∙ by Matias Valdenegro-Toro, et al. ∙ 0 ∙ share

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Real-time convolutional networks for sonar image classification in low-power embedded systems

Deep Neural Networks have impressive classification performance, but thi...
09/07/2017 ∙ by Matias Valdenegro-Toro, et al. ∙ 0 ∙ share

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Improving Sonar Image Patch Matching via Deep Learning

Matching sonar images with high accuracy has been a problem for a long t...
09/07/2017 ∙ by Matias Valdenegro-Toro, et al. ∙ 0 ∙ share

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Matias Valdenegro-Toro

Featured Co-authors

Frank Kirchner

Octavio Arriaga

Paul Plöger

Bilal Wehbe

Shahab Heshmati-alamdari

Mariia Dmitrieva

Klemen Istenic

Dwaraknath Gnaneshwar

Mohandass Muthuraja

Thomas Guerneve

Veronika Yordanova

Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?

Unsupervised Difficulty Estimation with Action Scores

Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning

Black-Box Optimization of Object Detector Scales

Perception for Autonomous Systems (PAZ)

Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?

Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation

Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks!

Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds

Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics

Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification

Learning Objectness from Sonar Images for Class-Independent Object Detection

Deep Neural Networks for Marine Debris Detection in Sonar Images

Implementing Noise with Hash functions for Graphics Processing Units

Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks

Image Captioning and Classification of Dangerous Situations

Real-time Convolutional Neural Networks for Emotion and Gender Classification

Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition

Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks

Real-time convolutional networks for sonar image classification in low-power embedded systems

Improving Sonar Image Patch Matching via Deep Learning