Francesc Moreno-Noguer

3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning

3D human shape and pose estimation from monocular images has been an act...
07/27/2020 ∙ by Xiangyu Xu, et al. ∙ 7 ∙ share

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Neural Cellular Automata Manifold

Very recently, a deep Neural Cellular Automata (NCA)[1] has been propose...
06/22/2020 ∙ by Alejandro Hernandez Ruiz, et al. ∙ 0 ∙ share

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Textual Visual Semantic Dataset for Text Spotting

Text Spotting in the wild consists of detecting and recognizing text app...
04/21/2020 ∙ by Ahmed Sabir, et al. ∙ 0 ∙ share

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C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds

Flow-based generative models have highly desirable properties like exact...
12/15/2019 ∙ by Albert Pumarola, et al. ∙ 29 ∙ share

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Improving Map Re-localization with Deep 'Movable' Objects Segmentation on 3D LiDAR Point Clouds

Localization and Mapping is an essential component to enable Autonomous ...
10/08/2019 ∙ by Victor Vaquero, et al. ∙ 0 ∙ share

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Semantic Relatedness Based Re-ranker for Text Spotting

Applications such as textual entailment, plagiarism detection or documen...
09/17/2019 ∙ by Ahmed Sabir, et al. ∙ 0 ∙ share

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3DPeople: Modeling the Geometry of Dressed Humans

Recent advances in 3D human shape estimation build upon parametric repre...
04/09/2019 ∙ by Albert Pumarola, et al. ∙ 0 ∙ share

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Fast video object segmentation with Spatio-Temporal GANs

Learning descriptive spatio-temporal object models from data is paramoun...
03/28/2019 ∙ by Sergi Caelles, et al. ∙ 22 ∙ share

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Human Motion Prediction via Spatio-Temporal Inpainting

We propose a Generative Adversarial Network (GAN) to forecast 3D human m...
12/13/2018 ∙ by Alejandro Hernandez Ruiz, et al. ∙ 0 ∙ share

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Visual Re-ranking with Natural Language Understanding for Text Spotting

Many scene text recognition approaches are based on purely visual inform...
10/29/2018 ∙ by Ahmed Sabir, et al. ∙ 0 ∙ share

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Visual Semantic Re-ranker for Text Spotting

Many current state-of-the-art methods for text recognition are based on ...
10/23/2018 ∙ by Ahmed Sabir, et al. ∙ 0 ∙ share

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Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View

We propose a method for predicting the 3D shape of a deformable surface ...
09/27/2018 ∙ by Albert Pumarola, et al. ∙ 10 ∙ share

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Unsupervised Person Image Synthesis in Arbitrary Poses

We present a novel approach for synthesizing photo-realistic images of p...
09/27/2018 ∙ by Albert Pumarola, et al. ∙ 0 ∙ share

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Hallucinating Dense Optical Flow from Sparse Lidar for Autonomous Vehicles

In this paper we propose a novel approach to estimate dense optical flow...
08/30/2018 ∙ by Victor Vaquero, et al. ∙ 0 ∙ share

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Deep Lidar CNN to Understand the Dynamics of Moving Vehicles

Perception technologies in Autonomous Driving are experiencing their gol...
08/28/2018 ∙ by Victor Vaquero, et al. ∙ 0 ∙ share

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Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios

Vehicle detection and tracking is a core ingredient for developing auton...
08/23/2018 ∙ by Victor Vaquero, et al. ∙ 12 ∙ share

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Joint Coarse-And-Fine Reasoning for Deep Optical Flow

We propose a novel representation for dense pixel-wise estimation tasks ...
08/22/2018 ∙ by Victor Vaquero, et al. ∙ 0 ∙ share

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GANimation: Anatomically-aware Facial Animation from a Single Image

Recent advances in Generative Adversarial Networks (GANs) have shown imp...
07/24/2018 ∙ by Albert Pumarola, et al. ∙ 9 ∙ share

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3D Human Pose Estimation from a Single Image via Distance Matrix Regression

This paper addresses the problem of 3D human pose estimation from a sing...
11/28/2016 ∙ by Francesc Moreno-Noguer, et al. ∙ 0 ∙ share

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BreakingNews: Article Annotation by Image and Text Processing

Building upon recent Deep Neural Network architectures, current approach...
03/23/2016 ∙ by Arnau Ramisa, et al. ∙ 0 ∙ share

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Structured Prediction with Output Embeddings for Semantic Image Annotation

We address the task of annotating images with semantic tuples. Solving t...
09/07/2015 ∙ by Ariadna Quattoni, et al. ∙ 0 ∙ share

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TED: A Tolerant Edit Distance for Segmentation Evaluation

In this paper, we present a novel error measure to compare a segmentatio...
03/08/2015 ∙ by Jan Funke, et al. ∙ 0 ∙ share

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Fracking Deep Convolutional Image Descriptors

In this paper we propose a novel framework for learning local image desc...
12/19/2014 ∙ by Edgar Simo-Serra, et al. ∙ 0 ∙ share

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Francesc Moreno-Noguer

Featured Co-authors

Luc Van Gool

Hao Chen

Juergen Gall

Vincent Lepetit

Vittorio Ferrari

Iasonas Kokkinos

Antonio M. Lopez

Krystian Mikolajczyk

Stefan Milz

Matthew Cook

Gary P. T. Choi

3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning

Neural Cellular Automata Manifold

Textual Visual Semantic Dataset for Text Spotting

C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds

Improving Map Re-localization with Deep 'Movable' Objects Segmentation on 3D LiDAR Point Clouds

Semantic Relatedness Based Re-ranker for Text Spotting

3DPeople: Modeling the Geometry of Dressed Humans

Fast video object segmentation with Spatio-Temporal GANs

Human Motion Prediction via Spatio-Temporal Inpainting

Visual Re-ranking with Natural Language Understanding for Text Spotting

Visual Semantic Re-ranker for Text Spotting

Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View

Unsupervised Person Image Synthesis in Arbitrary Poses

Hallucinating Dense Optical Flow from Sparse Lidar for Autonomous Vehicles

Deep Lidar CNN to Understand the Dynamics of Moving Vehicles

Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios

Joint Coarse-And-Fine Reasoning for Deep Optical Flow

GANimation: Anatomically-aware Facial Animation from a Single Image

3D Human Pose Estimation from a Single Image via Distance Matrix Regression

BreakingNews: Article Annotation by Image and Text Processing

Structured Prediction with Output Embeddings for Semantic Image Annotation

TED: A Tolerant Edit Distance for Segmentation Evaluation

Fracking Deep Convolutional Image Descriptors