Sergio Izquierdo

About

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Sergio Izquierdo

PhD in Computer Vision

I am a recent PhD graduate in Computer Vision and Deep Learning. I did my PhD at the University of Zaragoza advised by Prof. Javier Civera. Working on 3D reconstruction and visual localization.

  • Age: 28
  • Email: sergio at izquierdo dot dev
  • Languages: Spanish (Native), English (C1 CAE)
  • Research interests: Deep Learning, Self-Supervised Learning, Computer Vision
  • Programming and skills: Python, PyTorch, TensorFlow, OpenCV, C++

Publications

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Deep Spatial Perception: Localization and Reconstruction

2025 PhD Thesis

Sergio Izquierdo

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MVSAnywhere: Zero-Shot Multi-View Stereo

2025 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Sergio Izquierdo, Mohamed Sayed, Michael Firman, Guillermo Garcia-Hernando, Daniyar Turmukhambetov, Javier Civera, Oisin Mac Aodha, Gabriel Brostow, Jamie Watson

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Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition

2024 European Conference on Computer Vision (ECCV)

Sergio Izquierdo, Javier Civera

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Optimal Transport Aggregation for Visual Place Recognition

2024 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Sergio Izquierdo, Javier Civera

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

2023 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Sergio Izquierdo, Javier Civera

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Conditional Servoing for Multi-Step Tasks

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Sergio Izquierdo*, Max Argus*, Thomas Brox

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

2021 International Conference on Machine Learning (ICML), AutoML Workshop

Sergio Izquierdo, Julia Guerrero-Viu, Sven Hauns, Guilherme Miotto, Simon Schrodi, André Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter

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Semi-Supervised Disparity Estimation with Deep Feature Reconstruction

2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshops

Julia Guerrero-Viu*, Sergio Izquierdo*, Philipp Schröppel, Thomas Brox

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CppFlow: Easily run TensorFlow models from C++

Created and maintain this popular open-source library to easily run TensorFlow models from C++. Used daily by hundreds of developers and different companies.

Sergio Izquierdo

Docs Code

Resume

Education

PhD in Computer Vision

Cum Laude

2021-2025

University of Zaragoza

M.Sc. Artificial Intelligence

2019-2021

Grade: 1.0 out of 1.0

University of Freiburg

Erasmus Exchange Program

2017-2018

HS Esslingen

B.Sc. Computer Engineering

2015-2019

Grade: 9.21 out of 10.0

University of Zaragoza

Experience

Contractor

July 2025 - present

Production ready MVSAnywhere

Model used in millions of images

Niantic Spatial

Research Intern

Summer 2024

Zero-shot multi-view stereo

Niantic

Deep Learning Intern

Summer 2023

Tool to benchmark 3D perception of drones

Skydio

Junior Researcher Intern

2021

Combined Neural Architecture Search and Hyperparameter Optimization

Machine Learling Lab - Freiburg

Junior Researcher Intern

2019

Deep Neural Networks to denoise physically based renders in challenging scenarios

Graphics & Imaging Lab - Zaragoza

Awards & Scholarships

FPU (PhD Scholarship)

2021-present

Competitive scholarship to pursue a Ph.D.

Spanish Ministry of Education

Deutschlandstipendiumn

2020-2021

National scholarship for high-achieving and committed students.

German Education and Research Minister

National Ranking 2020

2020

Top graduates in Computer Science in Spain.

SEDEA (Spanish Society of Academic Excellence)

Collaboration Scholarship

2018

Research project on Deep Learning + SLAM

RoPeRT Group - Spanish Ministry of Education

Contact

sergio AT izquierdo DOT dev