1 code implementation • 27 Nov 2023 • Sergio Izquierdo, Javier Civera
The task of Visual Place Recognition (VPR) aims to match a query image against references from an extensive database of images from different places, relying solely on visual cues.
Ranked #1 on Visual Place Recognition on SPED
1 code implementation • CVPR 2023 • Sergio Izquierdo, Javier Civera
Estimating a dense depth map from a single view is geometrically ill-posed, and state-of-the-art methods rely on learning depth's relation with visual appearance using deep neural networks.
no code implementations • 17 May 2022 • Sergio Izquierdo, Max Argus, Thomas Brox
Visual Servoing has been effectively used to move a robot into specific target locations or to track a recorded demonstration.
no code implementations • 1 Jun 2021 • Julia Guerrero-Viu, Sergio Izquierdo, Philipp Schröppel, Thomas Brox
Despite the success of deep learning in disparity estimation, the domain generalization gap remains an issue.
1 code implementation • ICML Workshop AutoML 2021 • Julia Guerrero-Viu, Sven Hauns, Sergio Izquierdo, Guilherme Miotto, Simon Schrodi, Andre Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter
Neural architecture search (NAS) and hyperparameter optimization (HPO) make deep learning accessible to non-experts by automatically finding the architecture of the deep neural network to use and tuning the hyperparameters of the used training pipeline.