Francesc Moreno-Noguer

research

∙ 01/20/2023

Visual Semantic Relatedness Dataset for Image Captioning

Modern image captioning system relies heavily on extracting knowledge fr...

Ahmed Sabir, et al. ∙

research

∙ 10/21/2022

PoseScript: 3D Human Poses from Natural Language

Natural language is leveraged in many computer vision tasks such as imag...

Ginger Delmas, et al. ∙

research

∙ 09/16/2022

Belief Revision based Caption Re-ranker with Visual Semantic Information

In this work, we focus on improving the captions generated by image-capt...

Ahmed Sabir, et al. ∙

research

∙ 09/01/2022

Topic Detection in Continuous Sign Language Videos

Significant progress has been made recently on challenging tasks in auto...

Alvaro Budria, et al. ∙

research

∙ 07/04/2022

Back to MLP: A Simple Baseline for Human Motion Prediction

This paper tackles the problem of human motion prediction, consisting in...

Wen Guo, et al. ∙

research

∙ 05/12/2022

Learned Vertex Descent: A New Direction for 3D Human Model Fitting

We propose a novel optimization-based paradigm for 3D human model fittin...

Enric Corona, et al. ∙

research

∙ 05/09/2022

Single-view 3D Body and Cloth Reconstruction under Complex Poses

Recent advances in 3D human shape reconstruction from single images have...

Nicolas Ugrinovic, et al. ∙

research

∙ 04/11/2022

Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation

Recovering multi-person 3D poses from a single RGB image is a severely i...

Nicolas Ugrinovic, et al. ∙

research

∙ 04/04/2022

LISA: Learning Implicit Shape and Appearance of Hands

This paper proposes a do-it-all neural model of human hands, named LISA....

Enric Corona, et al. ∙

research

∙ 04/04/2022

HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE

Studies on the automatic processing of 3D human pose data have flourishe...

Xiaoyu Bie, et al. ∙

research

∙ 03/18/2022

Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

A critical limitation of current methods based on Neural Radiance Fields...

Jianxiong Shen, et al. ∙

research

∙ 01/06/2022

Enhancing Egocentric 3D Pose Estimation with Third Person Views

In this paper, we propose a novel approach to enhance the 3D body pose e...

Ameya Dhamanaskar, et al. ∙

research

∙ 11/13/2021

PhysXNet: A Customizable Approach for LearningCloth Dynamics on Dressed People

We introduce PhysXNet, a learning-based approach to predict the dynamics...

Jordi Sanchez-Riera, et al. ∙

research

∙ 11/02/2021

Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images

We address the problem of multi-person 3D body pose and shape estimation...

Nicolas Ugrinovic, et al. ∙

research

∙ 10/28/2021

An Adaptable Approach to Learn Realistic Legged Locomotion without Examples

Learning controllers that reproduce legged locomotion in nature has been...

Daniel Ordonez-Apraez, et al. ∙

research

∙ 10/06/2021

Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision

Automatically detecting graspable regions from a single depth image is a...

Ruijie Ren, et al. ∙

research

∙ 08/11/2021

SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery

We present SIDER(Single-Image neural optimization for facial geometric D...

Aggelina Chatziagapi, et al. ∙

research

∙ 07/26/2021

H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction

Recent learning approaches that implicitly represent surface geometry us...

Eduard Ramon, et al. ∙

research

∙ 07/08/2021

Uncertainty-Aware Camera Pose Estimation from Points and Lines

Perspective-n-Point-and-Line (PnPL) algorithms aim at fast, accurate, an...

Alexander Vakhitov, et al. ∙

research

∙ 05/18/2021

Multi-Person Extreme Motion Prediction with Cross-Interaction Attention

Human motion prediction aims to forecast future human poses given a sequ...

Wen Guo, et al. ∙

research

∙ 03/26/2021

AVATAR: Blender add-on for fast creation of 3D human models

Create an articulated and realistic human 3D model is a complicated task...

Jordi Sanchez-Riera, et al. ∙

research

∙ 03/11/2021

SMPLicit: Topology-aware Generative Model for Clothed People

In this paper we introduce SMPLicit, a novel generative model to jointly...

Enric Corona, et al. ∙

research

∙ 12/17/2020

Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps

While there exists a large number of methods for manipulating rigid obje...

Jens Lundell, et al. ∙

research

∙ 12/14/2020

FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction

Facial Expressions induce a variety of high-level details on the 3D face...

ShahRukh Athar, et al. ∙

research

∙ 11/27/2020

D-NeRF: Neural Radiance Fields for Dynamic Scenes

Neural rendering techniques combining machine learning with geometric re...

Albert Pumarola, et al. ∙

research

∙ 10/11/2020

PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation

Recent literature addressed the monocular 3D pose estimation task very s...

Wen Guo, et al. ∙

research

∙ 07/27/2020

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...

Xiangyu Xu, et al. ∙

research

∙ 06/22/2020

Neural Cellular Automata Manifold

Very recently, a deep Neural Cellular Automata (NCA)[1] has been propose...

Alejandro Hernandez Ruiz, et al. ∙

research

∙ 04/21/2020

Textual Visual Semantic Dataset for Text Spotting

Text Spotting in the wild consists of detecting and recognizing text app...

Ahmed Sabir, et al. ∙

research

∙ 12/15/2019

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

Flow-based generative models have highly desirable properties like exact...

Albert Pumarola, et al. ∙

research

∙ 10/08/2019

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

Localization and Mapping is an essential component to enable Autonomous ...

Victor Vaquero, et al. ∙

research

∙ 09/17/2019

Semantic Relatedness Based Re-ranker for Text Spotting

Applications such as textual entailment, plagiarism detection or documen...

Ahmed Sabir, et al. ∙

research

∙ 04/09/2019

3DPeople: Modeling the Geometry of Dressed Humans

Recent advances in 3D human shape estimation build upon parametric repre...

Albert Pumarola, et al. ∙

research

∙ 03/28/2019

Fast video object segmentation with Spatio-Temporal GANs

Learning descriptive spatio-temporal object models from data is paramoun...

Sergi Caelles, et al. ∙

research

∙ 12/13/2018

Human Motion Prediction via Spatio-Temporal Inpainting

We propose a Generative Adversarial Network (GAN) to forecast 3D human m...

Alejandro Hernandez Ruiz, et al. ∙

research

∙ 10/29/2018

Visual Re-ranking with Natural Language Understanding for Text Spotting

Many scene text recognition approaches are based on purely visual inform...

Ahmed Sabir, et al. ∙

research

∙ 10/23/2018

Visual Semantic Re-ranker for Text Spotting

Many current state-of-the-art methods for text recognition are based on ...

Ahmed Sabir, et al. ∙

research

∙ 09/27/2018

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 ...

Albert Pumarola, et al. ∙

research

∙ 09/27/2018

Unsupervised Person Image Synthesis in Arbitrary Poses

We present a novel approach for synthesizing photo-realistic images of p...

Albert Pumarola, et al. ∙

research

∙ 08/30/2018

Hallucinating Dense Optical Flow from Sparse Lidar for Autonomous Vehicles

In this paper we propose a novel approach to estimate dense optical flow...

Victor Vaquero, et al. ∙

research

∙ 08/28/2018

Deep Lidar CNN to Understand the Dynamics of Moving Vehicles

Perception technologies in Autonomous Driving are experiencing their gol...

Victor Vaquero, et al. ∙

research

∙ 08/23/2018

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

Vehicle detection and tracking is a core ingredient for developing auton...

Victor Vaquero, et al. ∙

research

∙ 08/22/2018

Joint Coarse-And-Fine Reasoning for Deep Optical Flow

We propose a novel representation for dense pixel-wise estimation tasks ...

Victor Vaquero, et al. ∙

research

∙ 07/24/2018

GANimation: Anatomically-aware Facial Animation from a Single Image

Recent advances in Generative Adversarial Networks (GANs) have shown imp...

Albert Pumarola, et al. ∙

research

∙ 11/28/2016

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...

Francesc Moreno-Noguer, et al. ∙

research

∙ 03/23/2016

BreakingNews: Article Annotation by Image and Text Processing

Building upon recent Deep Neural Network architectures, current approach...

Arnau Ramisa, et al. ∙

research

∙ 09/07/2015

Structured Prediction with Output Embeddings for Semantic Image Annotation

We address the task of annotating images with semantic tuples. Solving t...

Ariadna Quattoni, et al. ∙

research

∙ 03/08/2015

TED: A Tolerant Edit Distance for Segmentation Evaluation

In this paper, we present a novel error measure to compare a segmentatio...

Jan Funke, et al. ∙

research

∙ 12/19/2014

Fracking Deep Convolutional Image Descriptors

In this paper we propose a novel framework for learning local image desc...

Edgar Simo-Serra, et al. ∙

Francesc Moreno-Noguer

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