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  • 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 ...
  • AlphaGAN: Generative adversarial networks for natural image matting 

    Lutz, Sebastian; Amplianitis, Konstantinos; Smolic, Aljosa (2018)
    We present the first generative adversarial network (GAN) for natural image matting. Our novel generator network is trained to predict visually appealing alphas with the addition of the adversarial loss from the discriminator ...
  • Automatic Palette Extraction for Image Editing 

    Smolic, Aljosa (2018)
    Interactive palette based colour editing applications have grown in popularity in recent years, but while many methods propose fast palette extraction techniques, they typically rely on the user to define the number of ...
  • Autonomous Tracking For Volumetric Video Sequences 

    Smolic, Aljosa (2021)
    As a rapidly growing medium, volumetric video is gaining attention beyond academia, reaching industry and creative communities alike. This brings new challenges to reduce the barrier to entry from a technical ...
  • A Benchmark for 3D Reconstruction from Aerial Imagery in an Urban Environment 

    Smolic, Aljosa (2021)
    This paper presents a novel benchmark to evaluate 3D reconstruction methods using aerial images in a large- scale urban scenario. In particular, it presents an evaluation of open-source state-of-the-art pipelines for ...
  • Bridging the Blue 

    Smolic, Aljosa (Carnegie Mellon University, Pittsburgh: ETC Press, 2020,, 2020)
    Bridging the Blue is an attempt to harness tech-nology as an enabler of empathy through using its qualities and possibilities to challenge how we listen. Feedback to date suggests that Bridging the the Blue offers an ...
  • Card-Based Methods in Interactive Narrative Prototyping 

    Haahr, Mads (Springer, 2018)
    Paper prototyping plays an important role in the creation of inter-active digital narratives (IDN). A structured prototyping approach can help improve the process of making IDNs. In particular, pre-made, specialized card ...
  • A Case Study on the Use of Volumetric Video in Augmented Reality for Cultural Heritage 

    Smolic, Aljosa (2020)
    Interest in the use of augmented reality (AR) is currently growing alongside advances in visual display and 3D reconstruction technologies. With the integration of volumetric video (VV), AR can be enhanced with representations ...
  • CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition 

    Smolic, Aljosa (2020)
    Egocentric gestures are the most natural form of communication for humans to interact with wearable devices such as VR/AR helmets and glasses. A major issue in such scenarios for real-world applications is that may easily ...
  • Cloud Strife: Expanding the horizons of Cloud Gaming Services 

    O'MAHONY, DONAL; Doyle, Joseph; Islam, Syed; Bashroush, Rabih (2017)
    Cloud gaming where computer games are executed on cloud based resources is a new service which can be extremely challenging for service providers. Unlike other web and video streaming applications it requires both a ...
  • Colour Correction for Stereoscopic Omnidirectional Images 

    Smolic, Aljosa (2018)
    Stereoscopic omnidirectional images (ODI) when viewed with a head-mounted display are a way to generate an immersive experience. Unfortunately, their creation is not an easy process, and different problems can be present ...
  • 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 ...
  • 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 ...
  • DeepStereoBrush: Interactive Depth Map Creation 

    Smolic, Aljosa (2018)
    In this paper, we introduce a novel interactive depth map creation approach for image sequences which uses depth-scribbles as input at user-defined keyframes. These scribbled depth values are then propagated within these ...
  • Delivery of omnidirectional video using saliency prediction and optimal bitrate allocation 

    Smolic, Aljosa (2020)
    In this work, we propose and investigate a user-centric framework for the delivery of omnidirectional video (ODV) on VR systems by taking advantage of visual attention (saliency) models for bitrate allocation module. For ...
  • Director's Cut - Analysis of Aspects of Interactive Storytelling for VR Films 

    O Fearghail, Colm; Oczinar, Cagri; Knorr, Sebastian; Smolic, Aljosa (2018)
    In this paper we explore methods that are currently used by professional virtual reality (VR) filmmakers to tell their stories and guide users, we analyze how end-users view 360 degree video in the presence of directional ...
  • Director's Cut - Analysis of VR Film Cuts for Interactive Storytelling 

    O Fearghail, Colm; Oczinar, Cagri; Knorr, Sebastian; Smolic, Aljosa (2018)
    The usage of film cuts, or transitions, is a powerful technique in interactive storytelling to express the film story by leading the viewers attention. To explore how existing transition techniques are currently being ...
  • 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 ...
  • Dynamic Environment Mapping for Augmented Reality Applications on Mobile Devices 

    Smolic, Aljosa (2018)
    Augmented Reality is a topic of foremost interest nowadays. Its main goal is to seamlessly blend virtual content in real-world scenes. Due to the lack of computational power in mobile devices, rendering a virtual object ...
  • Egocentric Gesture Recognition for Head-Mounted AR devices 

    Smolic, Aljosa; Chalasani, Tejo; Ondrej, Jan (2018)
    Natural interaction with virtual objects in AR/VR environments makes for a smooth user experience. Gestures are a natural extension from real world to augmented space to achieve these interactions. Finding discriminating ...