Now showing items 1-20 of 31

    • 2D-to-3D facial expression transfer 

      Rotger Moll, Gemma; Lumbreras, Felipe; Moreno-Noguer, Francesc; Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      Automatically changing the expression and physical features of a face from an input image is a topic that has been traditionally tackled in a 2D domain. In this paper, we bring this problem to 3D and propose a framework ...
    • 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)
      Conference report
      Open Access
      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 scalable, efficient, and accurate solution to non-rigid structure from motion 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2018)
      Article
      Open Access
      Most Non-Rigid Structure from Motion (NRSfM) solutions are based on factorization approaches that allow reconstructing objects parameterized by a sparse set of 3D points. These solutions, however, are low resolution and ...
    • Combining local-physical and global-statistical models for sequential deformable shape from motion 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2017-04-01)
      Article
      Open Access
      In this paper, we simultaneously estimate camera pose and non-rigid 3D shape from a monocular video, using a sequential solution that combines local and global representations. We model the object as an ensemble of particles, ...
    • Deformable motion 3D reconstruction by union of regularized subspaces 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      This paper presents an approach to jointly retrieve camera pose, time-varying 3D shape, and automatic clustering based on motion primitives, from incomplete 2D trajectories in a monocular video. We introduce the concept ...
    • Detailed 3D face reconstruction from a single RGB image 

      Rotger Moll, Gemma; Moreno-Noguer, Francesc; Lumbreras, Felipe; Agudo Martínez, Antonio (2019-01-01)
      Article
      Open Access
      This paper introduces a method to obtain a detailed 3D reconstruction of facial skin from a single RGB image. To this end, we propose the exclusive use of an input image without requiring any information about the observed ...
    • DUST: dual union of spatio-temporal subspaces for monocular multiple object 3D reconstruction 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      We present an approach to reconstruct the 3D shape of multiple deforming objects from incomplete 2D trajectories acquired by a single camera. Additionally, we simultaneously provide spatial segmentation (i.e., we identify ...
    • E-DNAS: Differentiable Neural Architecture Search for Embedded Systems 

      García López, Javier; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      Designing optimal and light weight networks to fit in resource-limited platforms like mobiles, DSPs or GPUs is a challenging problem with a wide range of interesting applications, e.g. in embedded systems for autonomous ...
    • Force-based representation for non-rigid shape and elastic model estimation 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018-09-01)
      Article
      Open Access
      IEEE This paper addresses the problem of simultaneously recovering 3D shape, pose and the elastic model of a deformable object from only 2D point tracks in a monocular video. This is a severely under-constrained problem ...
    • GANimation: anatomically-aware facial animation from a single image 

      Pumarola Peris, Albert; Agudo Martínez, Antonio; Martinez, Aleix M.; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Springer, 2018)
      Conference report
      Open Access
      Recent advances in Generative Adversarial Networks (GANs) have shown impressive results for task of facial expression synthesis. The most successful architecture is StarGAN, that conditions GANs' generation process with ...
    • GANimation: one-shot anatomically consistent facial animation 

      Pumarola Peris, Albert; Agudo Martínez, Antonio; Martinez, Aleix M.; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2019-01-01)
      Article
      Open Access
      Recent advances in generative adversarial networks (GANs) have shown impressive results for the task of facial expression synthesis. The most successful architecture is StarGAN (Choi et al. in CVPR, 2018), that conditions ...
    • Geometry-aware network for non-rigid shape prediction from a single view 

      Pumarola Peris, Albert; Agudo Martínez, Antonio; Porzi, Lorenzo; Sanfeliu Cortés, Alberto; Lepetit, Vincent; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      We propose a method for predicting the 3D shape of a deformable surface from a single view. By contrast with previous approaches, we do not need a pre-registered template of the surface, and our method is robust to the ...
    • Global model with local interpretation for dynamic shape reconstruction 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2017)
      Conference report
      Open Access
      The most standard approach to resolve the inherent ambiguities of the non-rigid structure from motion problem is using low-rank models that approximate deforming shapes by a linear combination of rigid basis. These models ...
    • Image collection pop-up: 3D reconstruction and clustering of rigid and non-rigid categories 

      Agudo Martínez, Antonio; Pijoan Comas, Melcior; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      This paper introduces an approach to simultaneously estimate 3D shape, camera pose, and object and type of deformation clustering, from partial 2D annotations in a multi-instance collection of images. Furthermore, we can ...
    • Learning shape, motion and elastic models in force space 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Conference report
      Open Access
      In this paper, we address the problem of simultaneously recovering the 3D shape and pose of a deformable and potentially elastic object from 2D motion. This is a highly ambiguous problem typically tackled by using low-rank ...
    • Modal space: a physics-based model for sequential estimation of time-varying shape from monocular video 

      Agudo Martínez, Antonio; Martinez Montiel, José Maria; Agapito, Lourdes; Calvo, Begoña (2017-01-01)
      Article
      Open Access
      This paper describes two sequential methods for recovering the camera pose together with the 3D shape of highly deformable surfaces from a monocular video. The nonrigid 3D shape is modeled as a linear combination of mode ...
    • Neural dense non-rigid structure from motion with latent space constraints 

      Sidhu, Vikramjit; Tretschk, Edgar; Golyanik, Vladislav; Agudo Martínez, Antonio; Theobalt, Christian (2020)
      Conference report
      Open Access
      We introduce the first dense neural non-rigid structure from motion (N-NRSfM) approach, which can be trained end-to-end in an unsupervised manner from 2D point tracks. Compared to the competing methods, our combination of ...
    • PL-SLAM: real-time monocular visual SLAM with points and lines 

      Pumarola Peris, Albert; Vakhitov, A.; Agudo Martínez, Antonio; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (IEEE Press, 2017)
      Conference report
      Open Access
      Low textured scenes are well known to be one of the main Achilles heels of geometric computer vision algorithms relying on point correspondences, and in particular for visual SLAM. Yet, there are many environments in which, ...
    • Real-time 3D reconstruction of non-rigid shapes with a single moving camera 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc; Calvo, Begoña; Martinez Montiel, José Maria (2016)
      Article
      Open Access
      This paper describes a real-time sequential method to simultaneously recover the camera motion and the 3D shape of deformable objects from a calibrated monocular video. For this purpose, we consider the Navier-Cauchy ...
    • Recovering pose and 3D deformable shape from multi-instance image ensembles 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Springer, 2017)
      Conference report
      Open Access
      In recent years, there has been a growing interest on tackling the Non-Rigid Structure from Motion problem (NRSfM), where the shape of a deformable object and the pose of a moving camera are simultaneously estimated from ...