410 citations
- Universitat Politècnica de CatalunyaES53 papers
- Consejo Superior de Investigaciones CientíficasES11 papers
- Carnegie Mellon UniversityUS3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Italian Institute of TechnologyIT3 papers
- The University of Texas at AustinUS3 papers
- Aalto UniversityFI2 papers
- Barcelona Supercomputing CenterES2 papers
- California Institute of TechnologyUS2 papers
- CentraleSupélecFR2 papers
- Delft University of TechnologyNL2 papers
- ETH ZurichCH2 papers
10 papers · 1 filter
Visual Semantic Re-ranker for Text Spotting
Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró
Many current state-of-the-art methods for text recognition are based on purely local information and ignore the semantic correlation between text and its surrounding visual context…
Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View
Albert Pumarola, Antonio Agudo, Lorenzo Porzi +3
We propose a method for predicting the 3D shape of a deformable surface from a single view. By contrast with previous approaches, we do not need a pre-registered template of the su…
Unsupervised Person Image Synthesis in Arbitrary Poses
Albert Pumarola, Antonio Agudo, Alberto Sanfeliu +1
We present a novel approach for synthesizing photo-realistic images of people in arbitrary poses using generative adversarial learning. Given an input image of a person and a desir…
Resilient Distributed Energy Management for Systems of Interconnected Microgrids
Wicak Ananduta, José María Maestre, Carlos Ocampo-Martinez +1
In this paper, distributed energy management of interconnected microgrids, which is stated as a dynamic economic dispatch problem, is studied. Since the distributed approach requir…
Hallucinating Dense Optical Flow from Sparse Lidar for Autonomous Vehicles
Victor Vaquero, Alberto Sanfeliu, Francesc Moreno-Noguer
In this paper we propose a novel approach to estimate dense optical flow from sparse lidar data acquired on an autonomous vehicle. This is intended to be used as a drop-in replacem…
Deep Lidar CNN to Understand the Dynamics of Moving Vehicles
Victor Vaquero, Alberto Sanfeliu, Francesc Moreno-Noguer
Perception technologies in Autonomous Driving are experiencing their golden age due to the advances in Deep Learning. Yet, most of these systems rely on the semantically rich infor…