Search Results for author: Sergio Izquierdo

Found 5 papers, 3 papers with code

Optimal Transport Aggregation for Visual Place Recognition

1 code implementation27 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.

Re-Ranking Visual Place Recognition

SfM-TTR: Using Structure from Motion for Test-Time Refinement of Single-View Depth Networks

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.

Conditional Visual Servoing for Multi-Step Tasks

no code implementations17 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.

Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization

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.

Hyperparameter Optimization Neural Architecture Search

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