Towards Recognizing New Semantic Concepts In New Visual Domains
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Towards Recognizing New Semantic Concepts in New Visual Domains
Author: Massimiliano Mancini
language: en
Publisher: Sapienza Università Editrice
Release Date: 2022-11-30
Despite being the leading paradigm in computer vision, deep neural networks are inherently limited by the visual and semantic information contained in their training set. In this thesis, we aim to design deep models operating with previously unseen visual domains and semantic concepts. We first describe different solutions for generalizing to new visual domains, applying variants of normalization layers to multiple challenging settings e.g. where new domain data is not available but arrives online or is described by metadata. In the second part, we incorporate new semantic concepts into pretrained deep models. We propose specific solutions for different problems such as multi-task/incremental learning and open-world recognition. Finally, we merge the two challenges: given images of multiple domains and categories, can we recognize unseen concepts in unseen domains? We propose an approach that is the first, promising step, towards solving this problem. Winner of the Competition “Prize for PhD Thesis 2020” arranged by Sapienza University Press.
Simulations of RF Beam Manipulations Including Intensity Effects for CERN PSB and SPS Upgrades
Author: Danilo Quartullo
language: en
Publisher: Sapienza Università Editrice
Release Date: 2022-11-30
The LIU program at CERN is of paramount importance at international level. The program foresees a significant upgrade of the LHC injector chain to increase the luminosity of the LHC beam by a factor of ten after 2024, when the HL-LHC era will start. This thesis deals with longitudinal beam dynamics studies for two LHC injectors (PSB and SPS), the main goal being the analysis of beam instabilities in the HL-LHC scenario.
Computer Vision – ECCV 2020
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.