Day of Women and Girls in Science 2025

 

Research  

 

GTI Data   

 

Open databases created and software developed by the GTI and supplemental material to papers.  

 

Databases  


SportCLIP (2025): Multi-sport dataset for text-guided video summarization.
Ficosa (2024):
The FNTVD dataset has been generated using the Ficosa's recording car.
MATDAT (2023):  More than 90K labeled images of martial arts tricking.
SEAW – DATASET (2022): 3 stereoscopic contents in 4K resolution at 30 fps.
UPM-GTI-Face dataset (2022): 11 different subjects captured in 4K, under 2 scenarios, and 2 face mask conditions.
LaSoDa (2022): 60 annotated images from soccer matches in five stadiums with different characteristics and light conditions.
PIROPO Database (2021):People in Indoor ROoms with Perspective and Omnidirectional cameras.
EVENT-CLASS (2021): High-quality 360-degree videos in the context of tele-education.
Parking Lot Occupancy Database (2020)
Nighttime Vehicle Detection database (NVD) (2019)
Hand gesture dataset (2019): Multi-modal Leap Motion dataset for Hand Gesture Recognition.
ViCoCoS-3D (2016): VideoConference Common Scenes in 3D.
LASIESTA database (2016): More than 20 sequences to test moving object detection and tracking algorithms.
Hand gesture database (2015): Hand-gesture database composed by high-resolution color images acquired with the Senz3D sensor.
HRRFaceD database (2014):Face database composed by high resolution images acquired with Microsoft Kinect 2 (second generation).
Lab database (2012): Set of 6 sequences to test moving object detection strategies.
Vehicle image database (2012)More than 7000 images of vehicles and roads.           

 

Software  


Empowering Computer Vision in Higher Education(2024)A Novel Tool for Enhancing Video Coding Comprehension.
Engaging students in audiovisual coding through interactive MATLAB GUIs (2024)

TOP-Former: A Multi-Agent Transformer Approach for the Team Orienteering Problem (2023)

Solving Routing Problems for Multiple Cooperative Unmanned Aerial Vehicles using Transformer Networks (2023)
Vision Transformers and Traditional Convolutional Neural Networks for Face Recognition Tasks (2023)
Faster GSAC-DNN (2023): A Deep Learning Approach to Nighttime Vehicle Detection Using a Fast Grid of Spatial Aware Classifiers.
SETForSeQ (2020): Subjective Evaluation Tool for Foreground Segmentation Quality. 
SMV Player for Oculus Rift (2016)

Bag-D3P (2016): 
Face recognition using depth information. 
TSLAB (2015): 
Tool for Semiautomatic LABeling.   
 

   

Supplementary material  


Soccer line mark segmentation and classification with stochastic watershed transform (2022)
A fully automatic method for segmentation of soccer playing fields (2022)
Grass band detection in soccer images for improved image registration (2022)
Evaluating the Influence of the HMD, Usability, and Fatigue in 360VR Video Quality Assessments (2020)
Automatic soccer field of play registration (2020)   
Augmented reality tool for the situational awareness improvement of UAV operators (2017)
Detection of static moving objects using multiple nonparametric background-foreground models on a Finite State Machine (2015)
Real-time nonparametric background subtraction with tracking-based foreground update (2015)  
Camera localization using trajectories and maps (2014)

 

                                                                                                                                                                                                                             
 
                                                                   
 
                                                                                                                                                             
 
      

 

 

Day of Women and Girls in Science 2025

On International Day of Women and Girls in Science, we want to highlight the talent and career of Susana Ruano, a researcher who found at the Grupo de Tratamiento de Imágenes (GTI) at Universidad Politécnica de Madrid the starting point for a brilliant career in artificial intelligence and computer vision.

Since she was little, Susana has been fascinated by puzzles and mathematics. The support of her mother and a teacher who made learning come naturally were key to her vocation. She chose a double education in mathematics and computer science, two disciplines that, according to her, "complement each other perfectly and allow exploration from theory to practice."

Susana, computer engineer and mathematician from the Universidad Autónoma de Madrid, joined GTI to develop her doctoral thesis in augmented reality applied to improve the situational awareness of UAV operators. Her time at the group not only allowed her to work on cutting-edge projects in collaboration with the industry but also provided her with a research environment that marked her professional growth. "At GTI, I had the opportunity to learn from great professionals and work on a project that combined academic research with real-world application in the business world. It was a key stage that gave me the confidence to continue my journey in research and innovation," she recalls.

Thanks to the solid foundation that her time at GTI gave her, Susana continued her career internationally, working as a postdoctoral researcher at Trinity College Dublin, in the V-SENSE group, where she delved into areas such as 3D reconstruction and machine learning. Currently, Susana leads artificial intelligence at Aitaca, developing innovative projects, such as a system that, using AI, calculates ring size with just a photo of the hand, revolutionizing the online commerce of the jewelry industry.

In addition to her work in AI, Susana is a role model for young women who want to enter STEM fields. "Many times, when starting, you feel like an oddity for being a woman in this field. But the reality is that we are increasingly more, and the best advice I can give is to study what you are passionate about without putting up barriers. Artificial intelligence and computer vision are the future, and we need more women leading their advancement."

The GTI continues to be a benchmark in research applied to computer vision, augmented reality, and artificial intelligence, collaborating with both universities and companies to drive technological innovation. Since its inception, the group has trained great professionals like Susana, who, with their experience and talent, continue to make a difference in the field of technology.

On this 11F, her story is a reminder that innovation knows no gender and that more and more women are ready to lead the future of science and technology.