25 citations · 27 across the 7 of their papers we have counts for
7 papers
Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning
Gabriele Castellano, Juan-José Nieto, Jordi Luque +6
Many real-time applications (e.g., Augmented/Virtual Reality, cognitive assistance) rely on Deep Neural Networks (DNNs) to process inference tasks. Edge computing is considered a k…
Efficient Keyword Spotting by capturing long-range interactions with Temporal Lambda Networks
Biel Tura, Santiago Escuder, Ferran Diego +2
Models based on attention mechanisms have shown unprecedented speech recognition performance. However, they are computationally expensive and unnecessarily complex for keyword spot…
Transcription-Enriched Joint Embeddings for Spoken Descriptions of Images and Videos
Benet Oriol, Jordi Luque, Ferran Diego +1
In this work, we propose an effective approach for training unique embedding representations by combining three simultaneous modalities: image and spoken and textual narratives. Th…
Unsupervised Representation Learning by Discovering Reliable Image Relations
Timo Milbich, Omair Ghori, Ferran Diego +1
Learning robust representations that allow to reliably establish relations between images is of paramount importance for virtually all of computer vision. Annotating the quadratic…
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak, Philip Lenz, Omair Ghori +3
State of the art methods for semantic image segmentation are trained in a supervised fashion using a large corpus of fully labeled training images. However, gathering such a corpus…
Sparse convolutional coding for neuronal ensemble identification
Sven Peter, Daniel Durstewitz, Ferran Diego +1
Cell ensembles, originally proposed by Donald Hebb in 1949, are subsets of synchronously firing neurons and proposed to explain basic firing behavior in the brain. Despite having b…
Road Detection via On--line Label Transfer
José M. Álvarez, Ferran Diego, Joan Serrat +1
Vision-based road detection is an essential functionality for supporting advanced driver assistance systems (ADAS) such as road following and vehicle and pedestrian detection. The…