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04/20/2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
The field of Sequential Decision Making (SDM) provides tools for solving...
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02/20/2023
A Survey on Semi-Supervised Semantic Segmentation
Semantic segmentation is one of the most challenging tasks in computer v...
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01/24/2023
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems
In the field of Automated Planning there is often the need for a set of ...
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07/22/2022
Custom Structure Preservation in Face Aging
In this work, we propose a novel architecture for face age editing that ...
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09/23/2020
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset
Visual voice activity detection (V-VAD) uses visual features to predict ...
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02/28/2019
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View
In this paper we address the problems of detecting objects of interest i...
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10/11/2018
Bayesian neural networks increasingly sparsify their units with depth
We investigate deep Bayesian neural networks with Gaussian priors on the...
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08/28/2018
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model
In this paper, we address the problem of how to robustly train a ConvNet...
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03/22/2018
A Comprehensive Analysis of Deep Regression
Deep learning revolutionized data science, and recently, its popularity ...
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11/18/2017