30 citations · 70 across the 8 of their papers we have counts for
13 papers
Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers
Stefan Haller, Adina Aldea, Christin Seifert +1
Automated short answer grading (ASAG) has gained attention in education as a means to scale educational tasks to the growing number of students. Recent progress in Natural Language…
Brain-inspired algorithms for processing of visual data
Nicola Strisciuglio
The study of the visual system of the brain has attracted the attention and interest of many neuro-scientists, that derived computational models of some types of neuron that compos…
MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees
Rafael Brandt, Nicola Strisciuglio, Nicolai Petkov
Efficient yet accurate extraction of depth from stereo image pairs is required by systems with low power resources, such as robotics and embedded systems. State-of-the-art stereo m…
Place recognition in gardens by learning visual representations: data set and benchmark analysis
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Visual place recognition is an important component of systems for camera localization and loop closure detection. It concerns the recognition of a previously visited place based on…
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks
Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov
We propose a new layer in Convolutional Neural Networks (CNNs) to increase their robustness to several types of noise perturbations of the input images. We call this a push-pull la…
Learning sound representations using trainable COPE feature extractors
Nicola Strisciuglio, Mario Vento, Nicolai Petkov
Sound analysis research has mainly been focused on speech and music processing. The deployed methodologies are not suitable for analysis of sounds with varying background noise, in…