Computer Science (Scholarly Publications): Recent submissions

Now showing items 341-360 of 1420

    • Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition 

      Smolic, Aljosa; Chalasani, Tejo (2019)
      Ego hand gestures can be used as an interface in AR and VR environments. While the context of an image is impor- tant for tasks like scene understanding, object recognition, image caption generation and activity ...

    • Aesthetic Image Captioning from Weakly-Labelled Photographs 

      Smolic, Aljosa; Ghosal, Koustav; Rana, Aakanksha (2019)
      Aesthetic image captioning (AIC) refers to the multimodal task of generating critical textual feedbacks for photographs. While in natural image captioning (NIC), deep models are trained in an end-to-end manner using ...

    • Interactive Light Field Tilt-Shift Refocus with Generalized Shift-and-Sum 

      Smolic, Aljosa; Alain, Martin; Aenchbacher, Weston (2019)
      Since their introduction more than two decades ago, light fields have gained considerable interest in graphics and vision communities due to their ability to provide the user with interactive visual content. One of the ...

    • DublinCity: Annotated LiDAR Point Cloud and its Applications 

      Smolic, Aljosa; Zolanvari, S.M. Iman; Ruano, Susana; Rana, Aakanksha; Cumins, Alan; da Silva, Rogerio Eduardo; Rahbar, Morteza (2019)
      Scene understanding of full-scale 3D models of an urban area remains a challenging task. While advanced computer vision techniques offer cost-effective approaches to analyse 3D urban elements, a precise and densely ...

    • OPN: Open Notice Receipt Schema 

      PANDIT, HARSHVARDHAN JITENDRA; Lizar, Mark (2019)
      Effective digital transparency largely depends on provision of a notice, which historically has been a static document such as a privacy policy rather than a contextually useful notice or sign. In this paper, we present ...

    • Deep Tone Mapping Operator for High Dynamic Range Images 

      Smolic, Aljosa; Rana, Aakanksha; Singh, Praveer; Valenzise, Giuseppe; Dufaux, Frederic; Komodakis, Nikos (2019)
      A computationally fast tone mapping operator (TMO) that can quickly adapt to a wide spectrum of high dynamic range (HDR) content is quintessential for visualization on varied low dynamic range (LDR) output devices such as ...

    • Towards Cataloguing Potential Derivations of Personal Data 

      PANDIT, HARSHVARDHAN JITENDRA; Debruyne, Christophe; Fernández, Javier D.; Polleres, Axel (2019)
      The General Data Protection Regulation (GDPR) has estab- lished transparency and accountability in the context of personal data usage and collection.While its obligations clearly apply to data explicitly obtained from ...

    • Deep Convolutional Neural Networks for estimating lens distortion parameters 

      Smolic, Aljosa; Lutz, Sebastian; Davey, Mark (2019)
      In this paper we present a convolutional neural network (CNN) to predict multiple lens distortion parameters from a single input image. Unlike other methods, our network is suitable to create high resolution output as ...

    • L2 based Colour Correction for Light Field Arrays 

      Smolic, Aljosa; Grogan, Mairéad (2019)
      In recent years, there has been an increase in the popularity of Light Field (LF) imaging technology with the increase in availability of LF camera devices such as the Lytro, as well as an increase in the use of LF ...

    • Exploring Linked Data For The Automatic Enrichment of Historical Archives 

      PANDIT, HARSHVARDHAN JITENDRA; Munnelly, Gary; Lawless, Séamus (2018)
      With the increasing scale of online cultural heritage collections, the efforts of manually adding annotations to their contents become a challenging and costly endeavour. Entity Linking is a process used to automatically ...

    • GDPR Data Interoperability Model 

      PANDIT, HARSHVARDHAN JITENDRA; Lewis, David; O'Sullivan, Declan (2018)
      Laws such as the General Data Protection Regulation (GDPR) specify information to be shared, provided, or communicated between entities as part of its operation and compliance. Its compliance additionally requires provision ...

    • Ease and Ethics of User Profiling in Black Mirror 

      PANDIT, HARSHVARDHAN JITENDRA; Lewis, David (2018)
      The use of personal data is a double-edged sword that on one side provides benefits through personalisation and user profiling, while the other raises several ethical and moral implications that impede technological progress. ...

    • A model for contextual data sharing in smartphone applications 

      PANDIT, HARSHVARDHAN JITENDRA; O'Riordan, Adrian (2016)
      Purpose - The purpose of this paper is to introduce a model for identi- fying, storing, and sharing contextual information across smartphone apps that uses the native device services. We present the idea of using user ...

    • GConsent - A Consent Ontology based on the GDPR 

      O'Sullivan, Declan; Lewis, David; Debruyne, Christophe (Springer, 2019)
      Consent is an important legal basis for the processing of personal data under the General Data Protection Regulation (GDPR), which is the current European data protection law. GPDR provides constraints and obligations on ...

    • Towards Generating Policy-compliant Datasets 

      O'Sullivan, Declan; Debruyne, Christophe; Lewis, David (IEEE Computer Society, 2019)
      The development of intelligent (e.g., AI-based) applications increasingly requires governance models and processes, as financial legal sanctions are more and more being associated with violation of policies. We propose ...

    • Test-driven Approach Towards GDPR Compliance 

      Lewis, David; O'Sullivan, Declan; PANDIT, HARSHVARDHAN JITENDRA (2019)
      An organisation using personal data should document its data governance processes to maintain and demonstrate compliance with the General Data Protection Regulation (GDPR). As processes evolve, their documentation should ...

    • GDPR-driven Change Detection In Consent And Activity Metadata 

      O'Sullivan, Declan; PANDIT, HARSHVARDHAN JITENDRA; Lewis, David (2018)
      This position paper explores changes concerning the relationship between consent and activities in context of the General Data Protection Regulation (GDPR). Detecting and recording such changes with their effects can ...

    • GDPRtEXT - GDPR as a Linked Data Resource 

      O'Sullivan, Declan; Lewis, David (Springer LNCS, 2018)
      The General Data Protection Regulation (GDPR) is the new European data protection law whose compliance affects organisations in several aspects related to the use of consent and personal data. With emerging research and ...

    • Personalised Privacy Policies 

      O'Sullivan, Declan; Lewis, David; Pandit, Harshvardhan (2018)
      Internet services have become an important part of the daily life for a large number of people, and often deal with varying amounts of personal information. A privacy policy is a legal document governed by territorial ...

    • Discussing ethical impacts in research and innovation: The ethics canvas 

      Lewis, David; Pandit, Harshvardhan (2018)
      Technologies are increasingly intertwined with people’s daily lives. Consequently, there is an increasing need to consider the ethical impacts that research and innovation (R&I) processes, both in commercial and non-commercial ...