Company Project Proposals


Greyed Entries: already assigned projects.
  XAI for anomaly detection
During the training period, the student will work on xai for anomaly detection, which will also be the topic for his master thesis, which will be supervised by Prof. Sergio Escalera. More specifically, the student will get access to some data from Milestone Systems to train some anomaly detection algorithms and utilize existing or developing new xai algorithms to provide an insight into the perfor
Extended abstract: Download PDF
Academic Supervisor: Xavier Baro Sole
Supervisor e-mail: xbaro@uoc.edu
Institution: UOC
co-Supervisor: Sergio Escalera
co-Supervisor e-mail: sergio.escalera.guerrero@gmail.com
Assigned Student Name: Johnny Núñez Cano
Student e-mail: Johnny.Nunez@autonoma.cat
pre-Assigned Student Name: Johnny Nunez Cano
Company: Milestone Systems
Contact e-mail: casa@milestone.dk
Contact Person: Kamal Nasrollahi
Confidential: Yes
Date: 2023-01-17 14:32:27
  Improving an algorithm to identify and count books
Our project aims to identify and count the number of books contained in the images to be submitted by respondents to a web survey. An algorithm for these purposes already exists, but it needs to be improved as it presents several problems (no identification of books, or assignment of only one box to two or more books). The aim of the thesis is to overcome these problems by improving the algorithm.
Extended abstract: Download PDF
Academic Supervisor: Dr. Gloria Haro
Supervisor e-mail: gloria.haro@upf.edu
Institution: UPF
Company: IBEI / UPF
Contact e-mail: melanie.revilla@upf.edu
Contact Person: Dr. Melanie Revilla
Confidential: Yes
Date: 2023-01-25 13:27:47
  LLMs applied to robotic planners
Large language models (LLMs) have unlocked new capabilities of task planning from human instructions. However, grounding such planners to real-world robotic tasks is challenging. On the one hand, robotic capabilities must match with planner outputs, and, on the other hand, the planner must be aware and understand the real-world environment. l
Extended abstract: Download PDF
Academic Supervisor: Bogdan Raducanu
Supervisor e-mail: bogdan@cvc.uab.cat
Institution: UAB
Assigned Student Name: Josep Bravo Bravo
Student e-mail: Josep.Bravo@autonoma.cat
pre-Assigned Student Name: Josep Bravo
Company: Fundacio Eurecat
Contact e-mail: adriana.cruz@eurecat.org
Contact Person: Adriana Cruz
Confidential: No
Date: 2023-01-31 09:43:34
  Generation of synthetic longitudinal magnetic resonance images of subjects with multiple sclerosis.
Multiple sclerosis is a degenerative disease affecting the nervous system. There is no specific test for its diagnosis, but the main tool for its monitoring is magnetic resonance imaging. The aim of this study is to use generative models to train a network that is able to generate images of the patient at different time points from the baseline, thus predicting the development of the disease.
Academic Supervisor: Gerard Marti
Supervisor e-mail: gerard.marti@upf.edu
Institution: UPF
Assigned Student Name: Ana Harris Martínez
Student e-mail: Ana.Harris@autonoma.cat
pre-Assigned Student Name: Ana Harris Martinez
Company: Neuroradiology, Institut de Recerca Vall d’Hebron
Contact e-mail: deborah.pareto.idi@gencat.cat
Contact Person: Deborah Pareto, Neuroradiology Department (IDI)
Confidential: No
Date: 2023-02-06 12:07:09
  AI for Earth Observation aboard nano-satellite
The boarding of artificial intelligence (AI) and machine learning (Machine Learning or ML) algorithms on satellites is starting to become a reality. This project explores the algorithms and techniques (mainly Neural-Networks) used for Earth Observation and customizes them to a restricted platform to be aboard a nano-satellite.
Academic Supervisor: Felipe Lumbreras
Supervisor e-mail: felipe.lumbreras@cvc.uab.cat
Institution: UAB
co-Supervisor: Daniel Ponsa
co-Supervisor e-mail: daniel@cvc.uab.cat
Assigned Student Name: Michell Israel Vargas Signoret
Student e-mail: MichellIsrael.Vargas@autonoma.cat
pre-Assigned Student Name: Michell Vargas Signoret
Company: Institut d'Estudis Espacials de Catalunya
Contact e-mail: marius.monton@ieec.cat
Contact Person: Marius Monton
Confidential: No
Date: 2023-02-16 22:06:35
  Automatic Drift detection and Data Redundancy Removal on Edge Device Deployments
The goal of this internship is to improve a proprietary Automatic Data Control and Collection system. Work in this system focuses on Data Drift Detection, Data Redundancy Removal and Active learning. A PoC will be deployed on edge devices, in order to monitor in an unsupervised way a deployed model. It will also facilitate its retraining in case of performance degradation.
Academic Supervisor: Joost Van de Eijer
Supervisor e-mail: joost@cvc.uab.es
Institution: UAB
Assigned Student Name: Alex Carrillo Alza
Student e-mail: Alex.Carrillo@autonoma.cat
pre-Assigned Student Name: Alex Carrillo Alza
Company: Midokura
Contact e-mail: xavier@midokura.com
Contact Person: Xavier Serra Alza
Confidential: Yes
Date: 2023-02-17 16:12:59
  Weakly-Supervised Learning for Scene Text Recognition
This project deals with the design and implementation of weakly-supervised learning techniques for the specific case of scene text recognition. Starting from a baseline model, we want to apply weakly-supervised learning techniques to leverage inference data without requiring complex data annotations to incrementally train and enhance the models' performance.
Extended abstract: Download PDF
Academic Supervisor: Dimosthenis Karatzas
Supervisor e-mail: dimos@cvc.uab.cat
Institution: UAB
Assigned Student Name: Kyryl Dubovetskyi
Student e-mail: Kyryl.Dubovetskyi@autonoma.cat
Company: AllRead
Contact e-mail: marcal@allread.ai
Contact Person: Marcal Rossinyol
Confidential: No
Date: 2023-03-08 08:44:31
  Semantic Segmentation for Memory-Constrained Edge Devices
The aim of this project is to design a lightweight semantic segmentation network architecture that: (1) is designed to use minimal resources, (2) while maintaining high accuracy, and (3) fits the Midokura production environment. The candidate will work under the mentorship of AI engineers.
Extended abstract: Download PDF
Academic Supervisor: Miguel Angel Gonzalez Ballester
Supervisor e-mail: ma.gonzalez@upf.edu
Institution: UPF
Assigned Student Name: Guillem Martinez Sanchez
Student e-mail: Guillem.MartinezS@autonoma.cat
pre-Assigned Student Name: Guillem Martinez
Company: Midokura
Contact e-mail: magi.toneu@midokura.com
Contact Person: Magi Toneu
Confidential: Yes
Date: 2023-03-15 11:11:41
  Utilization of synthetic data for anomaly detection
During the training period, the student will work on Utilization of synthetic data for anomaly detection, which will also be the topic for his master thesis, which will be supervised by Prof. Sergio Escalera. More specifically, the students will get some state-of-the-art anomaly detection algorithm up and running, and then re-train them on a public thermal dataset developed by collaboration with M
Academic Supervisor: Xavier Baro
Supervisor e-mail: xbaro@uoc.edu
Institution: UOC
co-Supervisor: Sergio Escalera
co-Supervisor e-mail: sergio.escalera.guerrero@gmail.com
Assigned Student Name: Miquel Romero Blanch
Student e-mail: Miquel.Romero@autonoma.cat
pre-Assigned Student Name: Miguel Romero Blanch
Company: Milestone Systems Iberia SLU
Contact e-mail: casa@milestone.dk
Contact Person: Kamal Nasrollahi
Confidential: Yes
Date: 2023-03-16 17:54:27
  Preserving the Past: Enhancing 3D geometry recovery for cultural heritage
The field of 3D digital reconstruction has undergone a soaring and exciting boost with the recent invention of Neural Radiance Fields (NeRF). Within few years researchers have tightened the nuts to improve its photorealistic visual quality from multiple data types and optimized both training and inference time; and thus providing new solutions in several application fields.
Academic Supervisor: Gloria Haro
Supervisor e-mail: gloria.haro@upf.edu
Institution: UPF
Assigned Student Name: Albert Barreiro Díaz
Student e-mail: Albert.Barreiro@autonoma.cat
pre-Assigned Student Name: Albert Barreiro Diaz
Company: Fundacio Eurecat
Contact e-mail: rafael.redondo@eurecat.org
Contact Person: Rafael Redondo
Confidential: No
Date: 2023-04-05 17:25:26
  Modern 3D material digitization for cultural heritage preservation
The field of 3D digital reconstruction has undergone a soaring and exciting boost with the recent invention of Neural Radiance Fields (NeRF). Within few years researchers have tightened the nuts to improve its photorealistic visual quality from multiple data types and optimized both training and inference time; and thus providing new solutions in several application fields.
Academic Supervisor: Joost Van de Eijer
Supervisor e-mail: joost@cvc.uab.es
Institution: UAB
Assigned Student Name: Advait Dixit
Student e-mail: Advait.Dixit@autonoma.cat
pre-Assigned Student Name: Advait Abhijeet Dixit
Company: Fundacio Eurecat
Contact e-mail: rafael.redondo@eurecat.org
Contact Person: Rafael Redondo
Confidential: No
Date: 2023-04-05 17:25:36
  On the edge deep vision system for an efficient and precise detection of workpiece markings
The project will encompass the study and development of a detection system of on the edge markings focussed on computational efficiency and precision. This will require the study of large quantities of labelled data, the selection of optimum resolution strategies, implementation, trial and optimization of the chosen architectures, as well as the realisation of the results validation.
Extended abstract: Download PDF
Academic Supervisor: Ernest Valveny
Supervisor e-mail: ernest@cvc.uab.cat
Institution: UAB
Assigned Student Name: Iñigo Auzmendi Iriarte
Student e-mail: Inigo.Auzmendi@autonoma.cat
pre-Assigned Student Name: Inigo Auzmendi
Company: IDEKO S.COOP
Contact e-mail: notxoa@ideko.es
Contact Person: Nerea Otxoa Guridi
Confidential: Yes
Date: 2023-04-11 07:47:12
  Multiperson 3D pose estimation
Develop an algorithm for multi-person 3D pose estimation from single camera. Apply the algorithm to design an automatic trainer, able to count the repetitions of specific physical exercises and assess its quality on groups of 5 people approximately
Academic Supervisor: francesc moreno-noguer
Supervisor e-mail: francesc.moreno.noguer@upc.edu
Institution: UPC
pre-Assigned Student Name: Adam Szummer
Company: Wellfit Tec SL (improfit.ai)
Contact e-mail: andreu@improfit.ai
Contact Person: Andreu Casadella
Confidential: No
Date: 2023-04-19 13:03:27
  Enhancing ADAS Object Detection through ISP Pipeline Optimization using Deep Learning
This master dissertation explores Deep Learning-based approaches to automate ISP tuning for automotive cameras, aiming to improve vision-based functionalities in AD/ADAS systems. The methodology involves using Deep Learning for RAW image processing to learn ISP parameters and benchmarking the performance of a Deep Learning-based vision algorithm.
Extended abstract: Download PDF
Academic Supervisor: Javier Vazquez
Supervisor e-mail: jvazquez@cvc.uab.cat
Institution: UAB
Assigned Student Name: Rachid Boukir Fatimi
Student e-mail: Rachid.Boukir@autonoma.cat
pre-Assigned Student Name: Rachid Boukir Fatimi
Company: FICOSA ADAS
Contact e-mail: miguel.rib@ficosa.com
Contact Person: Miguel Humberto Rib Perez
Confidential: Yes
Date: 2023-04-21 22:08:54
  Prediction of Team Movement in Football
This project aims to explore different approaches for motion prediction of football player trajectories. We will investigate the use of MLP and transformer-based approaches to model the temporal and social interactions between agents in a football game.
Academic Supervisor: Francesc Moreno-Noguer
Supervisor e-mail: francesc.moreno.noguer@upc.edu
Institution: UPC
Assigned Student Name: Guillem Capellera Font
Student e-mail: Guillem.CapelleraFont@autonoma.cat
pre-Assigned Student Name: Guillem Capellera
Company: Kognia Sports Intelligence
Contact e-mail: antrubio10@gmail.com
Contact Person: Antonio Rubio
Confidential: Yes
Date: 2023-04-24 10:30:49
  Lane Detection for Automated Driving
Development of algorithms for lane detection from images in the CULane dataset. In the first stage, the student will review the state of the art, and we will define the methodology to improve the state of the art during the second stage of the project.
Extended abstract: Download PDF
Academic Supervisor: Antonio Agudo
Supervisor e-mail: antonio.agudo@upc.edu
Institution: UPF
pre-Assigned Student Name: Sergi Vidal Bazan
Company: IDIADA Automotive Technology S.A.
Contact e-mail: monica.lores@idiada.com
Contact Person: sergi.vidal.bazan@idiada.com
Confidential: Yes
Date: 2023-05-22 16:47:22
  Fish monitoring system with stereo camera on edge computing device
This thesis proposes the study and development of a fish monitoring system on an edge computing device, using a stereo camera integrated into a fishing net. Objectives include fish count, species classification, and size estimation. Deep learning models will be trained and adapted, leveraging the disparity information from the stereo images.
Extended abstract: Download PDF
Academic Supervisor: Antonio Agudo
Supervisor e-mail: antonio.agudo@upc.edu
Institution: UPF
Assigned Student Name: Alexander Tempelaar Sanchez
Student e-mail: Alexander.Tempelaar@autonoma.cat
pre-Assigned Student Name: Alexander Tempelaar Sanchez
Company: Coronis Computing, SL
Contact e-mail: contact@coronis.es
Contact Person: Rafael Garcia
Confidential: No
Date: 2023-05-31 11:43:44