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…