87 citations · 486 across the 27 of their papers we have counts for
6 papers · 1 filter
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction
Eduard Ramon, Gil Triginer, Janna Escur +4
Recent learning approaches that implicitly represent surface geometry using coordinate-based neural representations have shown impressive results in the problem of multi-view 3D re…
Unsupervised Skill-Discovery and Skill-Learning in Minecraft
Juan José Nieto, Roger Creus, Xavier Giro-i-Nieto
Pre-training Reinforcement Learning agents in a task-agnostic manner has shown promising results. However, previous works still struggle in learning and discovering meaningful skil…
PixInWav: Residual Steganography for Hiding Pixels in Audio
Margarita Geleta, Cristina Punti, Kevin McGuinness +3
Steganography comprises the mechanics of hiding data in a host media that may be publicly available. While previous works focused on unimodal setups (e.g., hiding images in images,…
SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation
Ioannis Kazakos, Carles Ventura, Miriam Bellver +2
Recent advances in deep learning have brought significant progress in visual grounding tasks such as language-guided video object segmentation. However, collecting large datasets f…
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Oscar Mañas, Alexandre Lacoste, Xavier Giro-i-Nieto +2
Remote sensing and automatic earth monitoring are key to solve global-scale challenges such as disaster prevention, land use monitoring, or tackling climate change. Although there…
Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses
Lucas Ventura, Amanda Duarte, Xavier Giro-i-Nieto
Recent work have addressed the generation of human poses represented by 2D/3D coordinates of human joints for sign language. We use the state of the art in Deep Learning for motion…