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Marcos V Conde, Javier Vazquez, Michael S Brown, & Radu TImofte. (2024). NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. In 38th AAAI Conference on Artificial Intelligence.
Abstract: 3D lookup tables (3D LUTs) are a key component for image enhancement. Modern image signal processors (ISPs) have dedicated support for these as part of the camera rendering pipeline. Cameras typically provide multiple options for picture styles, where each style is usually obtained by applying a unique handcrafted 3D LUT. Current approaches for learning and applying 3D LUTs are notably fast, yet not so memory-efficient, as storing multiple 3D LUTs is required. For this reason and other implementation limitations, their use on mobile devices is less popular. In this work, we propose a Neural Implicit LUT (NILUT), an implicitly defined continuous 3D color transformation parameterized by a neural network. We show that NILUTs are capable of accurately emulating real 3D LUTs. Moreover, a NILUT can be extended to incorporate multiple styles into a single network with the ability to blend styles implicitly. Our novel approach is memory-efficient, controllable and can complement previous methods, including learned ISPs.
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Angel Sappa, Niki Aifanti, N. Grammalidis, & Sotiris Malassiotis. (2004). Advances in Vision-Based Human Body Modeling. In N. Sarris and M. Strintzis. (Ed.), 3D Modeling & Animation: Systhesis and Analysis Techniques for the Human Body (pp. 1–26).
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Nicola Bellotto, Eric Sommerlade, Ben Benfold, Charles Bibby, I. Reid, Daniel Roth, et al. (2009). A Distributed Camera System for Multi-Resolution Surveillance. In 3rd ACM/IEEE International Conference on Distributed Smart Cameras.
Abstract: We describe an architecture for a multi-camera, multi-resolution surveillance system. The aim is to support a set of distributed static and pan-tilt-zoom (PTZ) cameras and visual tracking algorithms, together with a central supervisor unit. Each camera (and possibly pan-tilt device) has a dedicated process and processor. Asynchronous interprocess communications and archiving of data are achieved in a simple and effective way via a central repository, implemented using an SQL database. Visual tracking data from static views are stored dynamically into tables in the database via client calls to the SQL server. A supervisor process running on the SQL server determines if active zoom cameras should be dispatched to observe a particular target, and this message is effected via writing demands into another database table. We show results from a real implementation of the system comprising one static camera overviewing the environment under consideration and a PTZ camera operating under closed-loop velocity control, which uses a fast and robust level-set-based region tracker. Experiments demonstrate the effectiveness of our approach and its feasibility to multi-camera systems for intelligent surveillance.
Keywords: 10.1109/ICDSC.2009.5289413
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Eduardo Tusa, Arash Akbarinia, Raquel Gil Rodriguez, & Corina Barbalata. (2015). Real-Time Face Detection and Tracking Utilising OpenMP and ROS. In 3rd Asia-Pacific Conference on Computer Aided System Engineering (pp. 179–184).
Abstract: The first requisite of a robot to succeed in social interactions is accurate human localisation, i.e. subject detection and tracking. Later, it is estimated whether an interaction partner seeks attention, for example by interpreting the position and orientation of the body. In computer vision, these cues usually are obtained in colour images, whose qualities are degraded in ill illuminated social scenes. In these scenarios depth sensors offer a richer representation. Therefore, it is important to combine colour and depth information. The
second aspect that plays a fundamental role in the acceptance of social robots is their real-time-ability. Processing colour and depth images is computationally demanding. To overcome this we propose a parallelisation strategy of face detection and tracking based on two different architectures: message passing and shared memory. Our results demonstrate high accuracy in
low computational time, processing nine times more number of frames in a parallel implementation. This provides a real-time social robot interaction.
Keywords: RGB-D; Kinect; Human Detection and Tracking; ROS; OpenMP
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Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loic Barrault, Kai Wang, Marc Masana, et al. (2018). LIUM-CVC Submissions for WMT18 Multimodal Translation Task. In 3rd Conference on Machine Translation.
Abstract: This paper describes the multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT18 Shared Task on Multimodal Translation. This year we propose several modifications to our previou multimodal attention architecture in order to better integrate convolutional features and refine them using encoder-side information. Our final constrained submissions
ranked first for English→French and second for English→German language pairs among the constrained submissions according to the automatic evaluation metric METEOR.
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Oriol Vicente, Alicia Fornes, & Ramon Valdes. (2017). La Xarxa d Humanitats Digitals de la UABCie: una estructura inteligente para la investigación y la transferencia en Humanidades. In 3rd Congreso Internacional de Humanidades Digitales Hispánicas. Sociedad Internacional (pp. 281–383).
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Joan Mas, B. Lamiroy, Gemma Sanchez, & Josep Llados. (2006). Automatic Learning of Symbol Descriptions Avoiding Topological Ambiguities.
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Jose Antonio Rodriguez, Gemma Sanchez, & Josep Llados. (2006). Automatic Interpretation of Proofreading Sketches.
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Carles Sanchez, Debora Gil, R. Tazi, Jorge Bernal, Y. Ruiz, L. Planas, et al. (2015). Quasi-real time digital assessment of Central Airway Obstruction. In 3rd European congress for bronchology and interventional pulmonology ECBIP2015.
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Joan Marti, Jose Miguel Benedi, Ana Maria Mendonça, & Joan Serrat. (2007). Pattern Recognition and Image Analysis (Vol. 6669). LNCS.
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Joan Serrat, Ferran Diego, Felipe Lumbreras, & Jose Manuel Alvarez. (2007). Synchronization of Video Sequences from Free-moving Cameras. In J. Marti et al. (Ed.), 3rd Iberian Conference on Pattern Recognition and Image Analysis (Vol. 4477, 620–627). LNCS.
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Antonio Lopez, Joan Serrat, Cristina Cañero, & Felipe Lumbreras. (2007). Robust Lane Lines Detection and Quantitative Assessment. In J. Marti et al (Ed.), 3rd Iberian Conference on Pattern Recognition and Image Analysis (Vol. 4477, 274–281). LNCS.
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Agata Lapedriza, David Masip, & Jordi Vitria. (2007). A Hierarchical Approach for Multi-task Logistic Regression. In J. Marti et al. (Ed.), 3rd Iberian Conference on Pattern Recognition and Image Analysis (Vol. 4478, 258–265). LNCS.
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Agnes Borras, & Josep Llados. (2007). Similarity-Based Object Retrieval Using Appearance and Geometric Feature Combination. In 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:113–120 (Vol. 4478, 33–39).
Abstract: This work presents a content-based image retrieval system of general purpose that deals with cluttered scenes containing a given query object. The system is flexible enough to handle with a single image of an object despite its rotation, translation and scale variations. The image content is divided in parts that are described with a combination of features based on geometrical and color properties. The idea behind the feature combination is to benefit from a fuzzy similarity computation that provides robustness and tolerance to the retrieval process. The features can be independently computed and the image parts can be easily indexed by using a table structure on every feature value. Finally a process inspired in the alignment strategies is used to check the coherence of the object parts found in a scene. Our work presents a system of easy implementation that uses an open set of features and can suit a wide variety of applications.
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Dani Rowe, Ivan Huerta, Jordi Gonzalez, & Juan J. Villanueva. (2007). Robust Multiple-People Tracking Using Colour-Based Particle Filters. In 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:113–120.
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