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09/13/2023
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline
Loop Closure Detection (LCD) is an essential task in robotics and comput...
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09/05/2023
Continual Cross-Dataset Adaptation in Road Surface Classification
Accurate road surface classification is crucial for autonomous vehicles ...
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08/04/2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics
Survival analysis is a fundamental tool in medicine, modeling the time u...
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07/06/2023
A Map-Free LiDAR-Based System for Autonomous Navigation in Vineyards
Agricultural robots have the potential to increase production yields and...
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07/03/2023
Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in Multi-Objective Neural Architecture Search
Deep learning is increasingly impacting various aspects of contemporary ...
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07/03/2023
Surgical fine-tuning for Grape Bunch Segmentation under Visual Domain Shifts
Mobile robots will play a crucial role in the transition towards sustain...
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06/05/2023
Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks
The remarkable proliferation of deep learning across various industries ...
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05/17/2023
Bridging the Gap: Enhancing the Utility of Synthetic Data via Post-Processing Techniques
Acquiring and annotating suitable datasets for training deep learning mo...
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04/12/2023
Few Shot Semantic Segmentation: a review of methodologies and open challenges
Semantic segmentation assigns category labels to each pixel in an image,...
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04/10/2023
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning
The Transformer is a highly successful deep learning model that has revo...
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03/13/2023
A Multi-Modal Simulation Framework to Enable Digital Twin-based V2X Communications in Dynamic Environments
Digital Twins (DTs) for physical wireless environments have been recentl...
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02/06/2023
Federated Survival Forests
Survival analysis is a subfield of statistics concerned with modeling th...
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02/03/2023
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits
The use of Neural Architecture Search (NAS) techniques to automate the d...
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01/28/2023
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits
Today, artificial neural networks are the state of the art for solving a...
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01/28/2023
Heterogeneous Datasets for Federated Survival Analysis Simulation
Survival analysis studies time-modeling techniques for an event of inter...
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12/13/2022
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification
The automated machine learning (AutoML) field has become increasingly re...
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11/20/2022
IC3D: Image-Conditioned 3D Diffusion for Shape Generation
In the last years, Denoising Diffusion Probabilistic Models (DDPMs) obta...
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10/06/2022
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique
Automating the research for the best neural network model is a task that...
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09/07/2022
On the utility and protection of optimization with differential privacy and classic regularization techniques
Nowadays, owners and developers of deep learning models must consider st...
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06/21/2022
Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping
Efficient object level representation for monocular semantic simultaneou...
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02/08/2022
Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving
In literature, Extended Object Tracking (EOT) algorithms developed for a...
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12/07/2021
E^2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition
Event cameras are novel bio-inspired sensors, which asynchronously captu...
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09/24/2021
A Generative Federated Learning Framework for Differential Privacy
In machine learning, differential privacy and federated learning concept...
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09/15/2021
Two algorithms for vehicular obstacle detection in sparse pointcloud
One of the main components of an autonomous vehicle is the obstacle dete...
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09/12/2021
ART-SLAM: Accurate Real-Time 6DoF LiDAR SLAM
Real-time six degree-of-freedom pose estimation with ground vehicles rep...
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08/31/2021
Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications
In the emerging high mobility Vehicle-to-Everything (V2X) communications...
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07/28/2021
Improving Multi-View Stereo via Super-Resolution
Today, Multi-View Stereo techniques are able to reconstruct robust and d...
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07/26/2021
Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning
MIMO systems in the context of 6G Vehicle-to-Everything (V2X) will requi...
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06/17/2021
Design of a prototypical platform for autonomous and connected vehicles
Self-driving technology is expected to revolutionize different sectors a...
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05/04/2021
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A*
Recently, the trend of incorporating differentiable algorithms into deep...
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03/23/2021
The Digital Agricultural Revolution: a Bibliometric Analysis Literature Review
The application of digital technologies in agriculture can improve tradi...
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12/23/2020
Probabilistic electric load forecasting through Bayesian Mixture Density Networks
Probabilistic load forecasting (PLF) is a key component in the extended ...
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12/01/2020
Facetwise Mesh Refinement for Multi-View Stereo
Mesh refinement is a fundamental step for accurate Multi-View Stereo. It...
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09/29/2020
Estimation of Switched Markov Polynomial NARX models
This work targets the identification of a class of models for hybrid dyn...
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09/29/2020
Identification of Probability weighted ARX models with arbitrary domains
Hybrid system identification is a key tool to achieve reliable models of...
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08/17/2020
Spatial Temporal Transformer Network for Skeleton-based Action Recognition
Skeleton-based Human Activity Recognition has achieved a great interest ...
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02/28/2020
Advances in centerline estimation for autonomous lateral control
The ability of autonomous vehicles to maintain an accurate trajectory wi...
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01/10/2020
Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data
Dynamic Vision Sensors (DVSs) asynchronously stream events in correspond...
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07/10/2019
Towards Affordance Prediction with Vision via Task Oriented Grasp Quality Metrics
While many quality metrics exist to evaluate the quality of a grasp by i...
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05/21/2019
Mesh-based Camera Pairs Selection and Occlusion-Aware Masking for Mesh Refinement
Many Multi-View-Stereo algorithms extract a 3D mesh model of a scene, af...
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03/26/2019
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo
One of the most successful approaches in Multi-View Stereo estimates a d...
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02/20/2019
Dense 3D Visual Mapping via Semantic Simplification
Dense 3D visual mapping estimates as many as possible pixel depths, for ...
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07/26/2018
A Data-driven Prior on Facet Orientation for Semantic Mesh Labeling
Mesh labeling is the key problem of classifying the facets of a 3D mesh ...
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07/25/2018
Attention Mechanisms for Object Recognition with Event-Based Cameras
Event-based cameras are neuromorphic sensors capable of efficiently enco...
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06/14/2018
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation
We introduce ReConvNet, a recurrent convolutional architecture for semi-...
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05/21/2018
Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras
Event-based cameras are bioinspired sensors able to perceive changes in ...
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05/16/2018
Predicting the Next Best View for 3D Mesh Refinement
3D reconstruction is a core task in many applications such as robot navi...
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01/17/2018
Multi-View Stereo 3D Edge Reconstruction
This paper presents a novel method for the reconstruction of 3D edges in...
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01/16/2018
Real-time CPU-based large-scale 3D mesh reconstruction
In Robotics, especially in this era of autonomous driving, mapping is on...
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09/29/2016