Scholar
Sergio Izquierdo
Google Scholar ID: 5rAK6moAAAAJ
PhD candidate at University of Zaragoza
Citations & Impact
Citations
208
H-index
5
i10-index
4
Publications
9
Co-authors
0
Publications
Resume
Academic Achievements
- Paper: 'MVSAnywhere: Zero-Shot Multi-View Stereo', CVPR 2025
- Paper: 'Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition', ECCV 2024
- Paper: 'Optimal Transport Aggregation for Visual Place Recognition', CVPR 2024
- Paper: 'SfM-TTR: Using Structure from Motion for Test-Time Refinement of Single-View Depth Networks', CVPR 2023
- Paper: 'Conditional Servoing for Multi-Step Tasks', IROS 2022
- Paper: 'Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization', ICML 2021 AutoML Workshop
- Paper: 'Semi-Supervised Disparity Estimation with Deep Feature Reconstruction', CVPR Workshops 2021
- Created and maintains the open-source library CppFlow for running TensorFlow models from C++, widely used by developers and companies
- Awarded the FPU PhD Scholarship by the Spanish Ministry of Education (2021–present)
- Recipient of the Deutschlandstipendium national scholarship (2020–2021)
- Ranked among top Computer Science graduates in Spain by SEDEA in 2020
- Received a Collaboration Scholarship from the Spanish Ministry of Education in 2018 for a research project on Deep Learning + SLAM
Background
- PhD student in Computer Vision at the University of Zaragoza, Spain
- Research interests: Deep Learning, Self-Supervised Learning, Computer Vision
- Focuses on 3D reconstruction and computer vision by combining deep learning priors with geometric cues
- Technical skills: Python, PyTorch, TensorFlow, OpenCV, C++
- Languages: Spanish (Native), English (C1 CAE)