Ara es mostren els items 1-20 de 57

    • 3D CNNs on distance matrices for human action recognition 

      Hernández Ruiz, Alejandro José; Porzi, Lorenzo; Rota Bulò, Samuel; Moreno-Noguer, Francesc (2017)
      Text en actes de congrés
      Accés obert
      In this paper we are interested in recognizing human actions from sequences of 3D skeleton data. For this purpose we combine a 3D Convolutional Neural Network with body representations based on Euclidean Distance Matrices ...
    • 3d semantic representation of actions from effcient stereo-image-sequence segmentation on GPUs 

      Alexey, Abramov; Aksoy, Eren Erdal; Dörr, Johannes; Wörgötter, Florentin; Pauwels, Karl; Dellen, Babette (2010)
      Text en actes de congrés
      Accés obert
      A novel real-time framework for model-free stereo-video segmentation and stereo-segment tracking is presented, combining real-time optical flow and stereo with image segmentation running separately on two GPUs. The ...
    • 3D vehicle detection on an FPGA from LiDAR point clouds 

      García López, Javier; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Association for Computing Machinery (ACM), 2019)
      Text en actes de congrés
      Accés obert
      In this paper is presented a deep neural network architecture designed to run on a field-programmable gate array (FPGA) for detection vehicle on LIDAR point clouds. This works present a network based on VoxelNet adapted ...
    • A comparison between two representatives of a set of graphs: median vs barycenter graph 

      Bardaji Goikoetxea, Itziar; Ferrer Sumsi, Miquel; Sanfeliu Cortés, Alberto (Springer Verlag, 2010)
      Text en actes de congrés
      Accés obert
      In this paper we consider two existing methods to generate a representative of a given set of graphs, that satisfy the following two conditions. On the one hand, that they are applicable to graphs with any kind of labels ...
    • A generic framework for median graph computation based on a recursive embedding approach 

      Ferrer Sumsi, Miquel; Karatzas, D; Valveny, Ernest; Bardaji Goikoetxea, Itziar; Bunke, Horst (2011)
      Article
      Accés obert
      The median graph has been shown to be a good choice to obtain a representative of a set of graphs. However, its computation is a complex problem. Recently, graph embedding into vector spaces has been proposed to obtain ...
    • A local algorithm for the computation of image velocity via constructive interference of global Fourier components 

      Dellen, Babette; Wörgötter, Florentin (2011)
      Article
      Accés obert
      A novel Fourier-based technique for local motion detection from image sequences is proposed. In this method, the instantaneous velocities of local image points are inferred directly from the global 3D Fourier components ...
    • A multi-agent MPC architecture for distributed large scale systems 

      Javalera Rincón, Valeria; Morcego Seix, Bernardo; Puig Cayuela, Vicenç (INSTICC Press. Institute for Systems and Technologies of Information, Control and Communication, 2010)
      Text en actes de congrés
      Accés obert
      In the present work, techniques of Model Predictive Control (MPC), Multi Agent Systems (MAS) and Reinforcement Learning (RL) are combined to develop a distributed control architecture for Large Scale Systems (LSS). This ...
    • A new algorithm to compute the distance between multi-dimensional histograms 

      Serratosa Casanelles, Francesc; Sanromà Güell, Gerard; Sanfeliu Cortés, Alberto (Springer Verlag, 2007)
      Capítol de llibre
      Accés obert
      The aim of this paper is to present a new algorithm to compute the distance between ndimensional histograms. There are some domains such as pattern recognition or image retrieval that use the distance between histograms ...
    • A recursive embedding approach to median graph computation 

      Ferrer Sumsi, Miquel; Valveny, Ernest; Bunke, Horst (Springer Verlag, 2009-06-12)
      Capítol de llibre
      Accés obert
      The median graph has been shown to be a good choice to infer a representative of a set of graphs. It has been successfully applied to graph-based classification and clustering. Nevertheless, its computation is extremely ...
    • Action recognition based on efficient deep feature learning in the spatio-temporal domain 

      Husain, Syed Farzad; Dellen, Babette; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Article
      Accés obert
      Hand-crafted feature functions are usually designed based on the domain knowledge of a presumably controlled environment and often fail to generalize, as the statistics of real-world data cannot always be modeled correctly. ...
    • Activities of daily living monitoring via a wearable camera: toward real-world applications 

      Cartas Ayala, Alejandro; Radeva, Petia; Dimiccoli, Mariella (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Article
      Accés obert
      Activity recognition from wearable photo-cameras is crucial for lifestyle characterization and health monitoring. However, to enable its wide-spreading use in real-world applications, a high level of generalization needs ...
    • BASS: boundary-aware superpixel segmentation 

      Rubio Romano, Antonio; Yu, Longlong; Simó Serra, Edgar; Moreno-Noguer, Francesc (IEEE Press, 2016)
      Text en actes de congrés
      Accés obert
      We propose a new superpixel algorithm based on exploiting the boundary information of an image, as objects in images can generally be described by their boundaries. Our proposed approach initially estimates the boundaries ...
    • Bayesian human motion intentionality prediction in urban environments 

      Ferrer Mínguez, Gonzalo; Sanfeliu Cortés, Alberto (2014-07-15)
      Article
      Accés obert
      Human motion prediction in indoor and outdoor scenarios is a key issue towards human robot interaction and intelligent robot navigation in general. In the present work, we propose a new human motion intentionality indicator, ...
    • Breakingnews: article annotation by image and text processing 

      Ramisa Ayats, Arnau; Yan, Fei; Moreno-Noguer, Francesc; Mikolajczyk, Krystian (Institute of Electrical and Electronics Engineers (IEEE), 2018-05-01)
      Article
      Accés obert
      Building upon recent Deep Neural Network architectures, current approaches lying in the intersection of Computer Vision and Natural Language Processing have achieved unprecedented breakthroughs in tasks like automatic ...
    • Combining semantic and geometric features for object class segmentation of indoor scenes 

      Husain, Syed Farzad; Schulz, Hannes; Dellen, Babette; Torras, Carme; Behnke, Sven (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Article
      Accés obert
      Scene understanding is a necessary prerequisite for robots acting autonomously in complex environments. Low-cost RGB-D cameras such as Microsoft Kinect enabled new methods for analyzing indoor scenes and are now ubiquitously ...
    • Computing the barycenter graph by means of the graph edit distance 

      Bardaji Goikoetxea, Itziar; Ferrer Sumsi, Miquel; Sanfeliu Cortés, Alberto (2010)
      Text en actes de congrés
      Accés obert
      The barycenter graph has been shown as an alternative to obtain the representative of a given set of graphs. In this paper we propose an extension of the original algorithm which makes use of the graph edit distance in ...
    • Database for 3D human pose estimation from single depth images 

      Arduengo García, Miguel; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc (2016)
      Report de recerca
      Accés obert
      This work is part of the project I-­-DRESS (Assistive interactive robotic system for support in dressing). The specific objective is the detection of human body postures and the tracking of their movements. To this end, ...
    • Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning 

      Zhang, Wanchang; Dimiccoli, Mariella; Lim, B.H. (Association for Computing Machinery (ACM), 2022)
      Text en actes de congrés
      Accés obert
      Model explanations such as saliency maps can improve user trust in AI by highlighting important features for a prediction. However, these become distorted and misleading when explaining predictions of images that are subject ...
    • Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios 

      Vaquero Gómez, Víctor; del Pino Bastida, Iván; Moreno-Noguer, Francesc; Solà Ortega, Joan; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (IEEE Press, 2017)
      Text en actes de congrés
      Accés obert
      Vehicle detection and tracking is a core ingredient for developing autonomous driving applications in urban scenarios. Recent image-based Deep Learning (DL) techniques are obtaining breakthrough results in these perceptive ...
    • Deformation and illumination invariant feature point descriptor 

      Moreno-Noguer, Francesc (2011)
      Text en actes de congrés
      Accés obert
      Recent advances in 3D shape recognition have shown that kernels based on diffusion geometry can be effectively used to describe local features of deforming surfaces. In this paper, we introduce a new framework that ...