35 citations · 107 across the 9 of their papers we have counts for
12 papers
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
Josep Lluis Berral, Oriol Aranda, Juan Luis Dominguez +1
Most research on novel techniques for 3D Medical Image Segmentation (MIS) is currently done using Deep Learning with GPU accelerators. The principal challenge of such technique is…
RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
Miriam Bellver, Carles Ventura, Carina Silberer +3
The task of video object segmentation with referring expressions (language-guided VOS) is to, given a linguistic phrase and a video, generate binary masks for the object to which t…
Mask-guided sample selection for Semi-Supervised Instance Segmentation
Miriam Bellver, Amaia Salvador, Jordi Torres +1
Image segmentation methods are usually trained with pixel-level annotations, which require significant human effort to collect. The most common solution to address this constraint…
How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language
Amanda Duarte, Shruti Palaskar, Lucas Ventura +5
One of the factors that have hindered progress in the areas of sign language recognition, translation, and production is the absence of large annotated datasets. Towards this end,…
Improving accuracy and speeding up Document Image Classification through parallel systems
Javier Ferrando, Juan Luis Dominguez, Jordi Torres +5
This paper presents a study showing the benefits of the EfficientNet models compared with heavier Convolutional Neural Networks (CNNs) in the Document Classification task, essentia…
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Víctor Campos, Alexander Trott, Caiming Xiong +3
Acquiring abilities in the absence of a task-oriented reward function is at the frontier of reinforcement learning research. This problem has been studied through the lens of empow…