activity
20212023
most citedBag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization

16 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

TomoSAM: a 3D Slicer extension using SAM for tomography segmentation

Federico Semeraro, Alexandre Quintart, Sergio Fraile Izquierdo +1

TomoSAM has been developed to integrate the cutting-edge Segment Anything Model (SAM) into 3D Slicer, a highly capable software platform used for 3D image processing and visualizat…

cs.CV2022

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

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…

cs.RO2022

Conditional Visual Servoing for Multi-Step Tasks

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. It does not require manual programming, but it is typ…

cs.CV2021

Semi-Supervised Disparity Estimation with Deep Feature Reconstruction

Julia Guerrero-Viu, Sergio Izquierdo, Philipp Schröppel +1

Despite the success of deep learning in disparity estimation, the domain generalization gap remains an issue. We propose a semi-supervised pipeline that successfully adapts DispNet…

cs.LG2021★ 16 cited

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

Julia Guerrero-Viu, Sven Hauns, Sergio Izquierdo +7

Neural architecture search (NAS) and hyperparameter optimization (HPO) make deep learning accessible to non-experts by automatically finding the architecture of the deep neural net…