4 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models
Alina Roitberg, Monica Haurilet, Manuel Martinez +1
Beyond assigning the correct class, an activity recognition model should also be able to determine, how certain it is in its predictions. We present the first study of how welthe c…
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information
Robin Ruede, Verena Heusser, Lukas Frank +3
A rapidly growing amount of content posted online, such as food recipes, opens doors to new exciting applications at the intersection of vision and language. In this work, we aim t…
Detective: An Attentive Recurrent Model for Sparse Object Detection
Amine Kechaou, Manuel Martinez, Monica Haurilet +1
In this work, we present Detective - an attentive object detector that identifies objects in images in a sequential manner. Our network is based on an encoder-decoder architecture,…
Relaxed Earth Mover's Distances for Chain- and Tree-connected Spaces and their use as a Loss Function in Deep Learning
Manuel Martinez, Monica Haurilet, Ziad Al-Halah +2
The Earth Mover's Distance (EMD) computes the optimal cost of transforming one distribution into another, given a known transport metric between them. In deep learning, the EMD los…