research
∙
06/04/2023
Sanity Checks for Saliency Methods Explaining Object Detectors
Saliency methods are frequently used to explain Deep Neural Network-base...
share
research
∙
12/21/2022
DExT: Detector Explanation Toolkit
State-of-the-art object detectors are treated as black boxes due to thei...
research
∙
11/11/2022
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models
Trusting the predictions of deep learning models in safety critical sett...
research
∙
11/11/2022
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation
Safety-critical applications like autonomous driving use Deep Neural Net...
research
∙
11/11/2022
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression
Increasingly high-stakes decisions are made using neural networks in ord...
research
∙
09/07/2022
Machine Learning Students Overfit to Overfitting
Overfitting and generalization is an important concept in Machine Learni...
research
∙
04/20/2022
Self-supervised Learning for Sonar Image Classification
Self-supervised learning has proved to be a powerful approach to learn i...
research
∙
04/20/2022
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement
Neural networks are ubiquitous in many tasks, but trusting their predict...
research
∙
12/06/2021
Feature Disentanglement of Robot Trajectories
Modeling trajectories generated by robot joints is complex and required ...
research
∙
12/05/2021
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning
Reinforcement Learning (RL) based solutions are being adopted in a varie...
research
∙
11/18/2021
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings
Uncertainty quantification in neural network promises to increase safety...
research
∙
09/28/2021
The VVAD-LRS3 Dataset for Visual Voice Activity Detection
Robots are becoming everyday devices, increasing their interaction with ...
research
∙
08/19/2021
Teaching Uncertainty Quantification in Machine Learning through Use Cases
Uncertainty in machine learning is not generally taught as general knowl...
research
∙
08/15/2021
The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation
Accurate detection and segmentation of marine debris is important for ke...
research
∙
08/05/2021
Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study
Docking control of an autonomous underwater vehicle (AUV) is a task that...
research
∙
08/02/2021
Pre-trained Models for Sonar Images
Machine learning and neural networks are now ubiquitous in sonar percept...
research
∙
08/02/2021
Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty
Application of underwater robots are on the rise, most of them are depen...
research
∙
04/16/2021
I Find Your Lack of Uncertainty in Computer Vision Disturbing
Neural networks are used for many real world applications, but often the...
research
∙
12/02/2020
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?
Deep Reinforcement Learning (DRL) connects the classic Reinforcement Lea...
research
∙
11/23/2020
Unsupervised Difficulty Estimation with Action Scores
Evaluating difficulty and biases in machine learning models has become o...
research
∙
11/23/2020
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...
research
∙
10/29/2020
Black-Box Optimization of Object Detector Scales
Object detectors have improved considerably in the last years by using a...
research
∙
10/27/2020
Perception for Autonomous Systems (PAZ)
In this paper we introduce the Perception for Autonomous Systems (PAZ) s...
research
∙
10/27/2020
Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?
Reinforcement learning (RL) algorithms should learn as much as possible ...
research
∙
10/27/2020
Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation
Estimating epistemic uncertainty of models used in low-latency applicati...
research
∙
08/17/2020
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...
research
∙
07/03/2020
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
Deep learning models are extensively used in various safety critical app...
research
∙
10/29/2019
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...
research
∙
10/17/2019
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification
Fast estimates of model uncertainty are required for many robust robotic...
research
∙
07/01/2019
Learning Objectness from Sonar Images for Class-Independent Object Detection
Detecting novel objects without class information is not trivial, as it ...
research
∙
05/13/2019
Deep Neural Networks for Marine Debris Detection in Sonar Images
Garbage and waste disposal is one of the biggest challenges currently fa...
research
∙
03/28/2019
Implementing Noise with Hash functions for Graphics Processing Units
We propose a modification to Perlin noise which use computable hash func...
research
∙
07/11/2018
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks
Noncritical soft-faults and model deviations are a challenge for Fault D...
research
∙
11/07/2017
Image Captioning and Classification of Dangerous Situations
Current robot platforms are being employed to collaborate with humans in...
research
∙
10/20/2017
Real-time Convolutional Neural Networks for Emotion and Gender Classification
In this paper we propose an implement a general convolutional neural net...
research
∙
09/08/2017
Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition
Convolutional Neural Networks (CNN) have revolutionized perception for c...
research
∙
09/08/2017
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...
research
∙
09/07/2017
Real-time convolutional networks for sonar image classification in low-power embedded systems
Deep Neural Networks have impressive classification performance, but thi...
research
∙
09/07/2017
