Exploració per altres contribucions "Radeva, Petia"
Ara es mostren els items 3-18 de 18
-
Deep learning for food instance segmentation
(Universitat Politècnica de Catalunya, 2023-01-25)
Projecte Final de Màster Oficial
Accés obertFood object detection and instance segmentation are critical in many applications such as dietary management or food intake monitoring. Food image recognition poses different challenges, such as the existence of a large ... -
Develop a deep learning model for food image classification
(Universitat Politècnica de Catalunya, 2024-01-25)
Projecte Final de Màster Oficial
Accés restringit per acord de confidencialitat -
Discovering routine in egocentric images
(Universitat Politècnica de Catalunya, 2019-07-01)
Projecte Final de Màster Oficial
Accés restringit per decisió de l'autorWe propose a new unsupervised approach for the discovery of routine from egocentric photostreams. The method integrates Convolutional Neural Networks for image feature extraction with Latent Dirichlet Allocation to find ... -
Efficient automatic segmentation of tubular structures in images and volumes.
(Universitat Politècnica de Catalunya, 2012-01)
Projecte Final de Màster Oficial
Accés obertThe segmentation of tubular structures is still an open eld of investigation, particularly in medical imaging, where the quality of the image is poor with respect to natural images. Despite the quality of state-of-the-art ... -
Ego-Object Discovery in Lifelogging Datasets
(Universitat Politècnica de Catalunya, 2015-02)
Projecte Final de Màster Oficial
Accés obertEn aquest treball proposem un mètode semi-supervisat per el descobriment d'objectes rellevants en seqüències d'imatges adquirides amb càmeres passives portàtils. Addicionalment, presentem un nou dataset d'imatges anotades ... -
Exploring multi-subset learning techniques for fine-grained food image classification
(Universitat Politècnica de Catalunya, 2023-01-25)
Projecte Final de Màster Oficial
Accés obertFine-grained image recognition (FGIR) is a fundamental and challenging problem within the field of computer vision that involves analyzing visual objects from subordinate categories, such as bird species or car models. The ... -
First-person activity recognition: how to generalize to unseen users?
(Universitat Politècnica de Catalunya, 2017)
Projecte Final de Màster Oficial
Accés obertRecent advances in wearable technology, accompanied by the decreasing cost of data storage and increase of data availability have made possible to take pictures everywhere at every time. Wearable cameras are nowadays ... -
Food related scene recognition in egocentric images
(Universitat Politècnica de Catalunya, 2017)
Projecte Final de Màster Oficial
Accés obertLifelogging is a raising field nowadays with the normalization of many devices that collect data from our daily routines. Egocentric cameras are particularly interesting devices that allow us to capture very rich ... -
Improving object detection by exploiting semantic relations between objects
(Universitat Politècnica de Catalunya, 2017-05)
Projecte Final de Màster Oficial
Accés obertObject detection is a fundamental and challenging problem in computer vision. Detecting the objects visible in an image can give us a good understanding and description of the image. The extracted information can later ... -
Latent Multi-Attribute Transformer for Face Editing in Images
(Universitat Politècnica de Catalunya, 2023-06-27)
Projecte Final de Màster Oficial
Accés obertFacial attribute transformation, the ability to modify specific facial attributes in images and videos, has gained significant attention in computer vision and image processing. We explored in depth the state-of-the-art ... -
Neural Fashion AI
(Universitat Politècnica de Catalunya, 2024-01-25)
Projecte Final de Màster Oficial
Accés obertThe rapid advancement of generative models for image generation has ushered in a new era of innovation in various industries. In the last year, with the arrival of models such as Stable Diffusion, MidJourney or Dall-E, we ... -
Robust and accurate diaphragm border detection in cardiac x-ray angiographies
(Universitat Politècnica de Catalunya, 2012-06)
Projecte Final de Màster Oficial
Accés obertX-ray angiography is the most common imaging modality employed in the diagnosis of coronary diseases prior or during a catheter-based intervention. The analysis of the patient X-Ray sequence can provide useful ... -
Smart Tray : A Deep learning application for self-checkout system
(Universitat Politècnica de Catalunya, 2020-01-24)
Projecte Final de Màster Oficial
Accés restringit per acord de confidencialitat -
Textual information extraction from printed documents within a Deep learning framework
(Universitat Politècnica de Catalunya, 2019-04-24)
Projecte Final de Màster Oficial
Accés restringit per acord de confidencialitat -
Unsupervised autoencoder for disentangled embedding generation
(Universitat Politècnica de Catalunya, 2020-01)
Projecte Final de Màster Oficial
Accés restringit per acord de confidencialitat -
Using deep learning for social analysis in egocentric images
(Universitat Politècnica de Catalunya, 2017-10-24)
Projecte Final de Màster Oficial
Accés obertIn this work, we explore in detail and propose a system to cluster faces from unconstrained images. This system can be divided mainly in two big steps: i) align the faces and pass them through a deep convolutional neural ...
