Browsing by Author "Agudo Martínez, Antonio"
Now showing items 1-20 of 43
-
2D-to-3D facial expression transfer
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessAutomatically 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
(Association for Computing Machinery (ACM), 2019)
Conference report
Open AccessIn 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
(2018)
Article
Open AccessMost 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 ... -
An adaptable approach to learn realistic legged locomotion without examples
(2022)
Conference report
Open AccessLearning controllers that reproduce legged locomotion in nature has been a long-time goal in robotics and computer graphics. While yielding promising results, recent approaches are not yet flexible enough to be applicable ... -
Body size and depth disambiguation in multi-person reconstruction from single images
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessWe address the problem of multi-person 3D body pose and shape estimation from a single image. While this problem can be addressed by applying single-person approaches multiple times for the same scene, recent works have ... -
Combining local-physical and global-statistical models for sequential deformable shape from motion
(2017-04-01)
Article
Open AccessIn 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
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessThis 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
(2019-01-01)
Article
Open AccessThis 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
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessWe 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
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessDesigning 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
(Institute of Electrical and Electronics Engineers (IEEE), 2018-09-01)
Article
Open AccessIEEE 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
(Springer, 2018)
Conference report
Open AccessRecent 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
(2019-01-01)
Article
Open AccessRecent 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 ... -
Generating attribution maps with disentangled masked backpropagation
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessAttribution map visualization has arisen as one of the most effective techniques to understand the underlying inference process of Convolutional Neural Networks. In this task, the goal is to compute an score for each image ... -
Geometry-aware network for non-rigid shape prediction from a single view
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessWe 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
(2017)
Conference report
Open AccessThe 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
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessThis 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
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference report
Open AccessIn 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 ... -
Matching and recovering 3D people from multiple views
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessThis paper introduces an approach to simultaneously match and recover 3D people from multiple calibrated cameras. To this end, we present an affinity measure between 2D detections across different views that enforces an ... -
Modal space: a physics-based model for sequential estimation of time-varying shape from monocular video
(2017-01-01)
Article
Open AccessThis 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 ...
