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09/15/2023
PoseFix: Correcting 3D Human Poses with Natural Language
Automatically producing instructions to modify one's posture could open ...
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02/21/2023
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis
In this work, we study discrete morphological symmetries of dynamical sy...
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01/20/2023
Visual Semantic Relatedness Dataset for Image Captioning
Modern image captioning system relies heavily on extracting knowledge fr...
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10/21/2022
PoseScript: 3D Human Poses from Natural Language
Natural language is leveraged in many computer vision tasks such as imag...
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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...
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09/01/2022
Topic Detection in Continuous Sign Language Videos
Significant progress has been made recently on challenging tasks in auto...
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07/04/2022
Back to MLP: A Simple Baseline for Human Motion Prediction
This paper tackles the problem of human motion prediction, consisting in...
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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...
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05/09/2022
Single-view 3D Body and Cloth Reconstruction under Complex Poses
Recent advances in 3D human shape reconstruction from single images have...
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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...
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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....
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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...
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03/18/2022
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification
A critical limitation of current methods based on Neural Radiance Fields...
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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...
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11/13/2021
PhysXNet: A Customizable Approach for LearningCloth Dynamics on Dressed People
We introduce PhysXNet, a learning-based approach to predict the dynamics...
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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...
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10/28/2021
An Adaptable Approach to Learn Realistic Legged Locomotion without Examples
Learning controllers that reproduce legged locomotion in nature has been...
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10/06/2021
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision
Automatically detecting graspable regions from a single depth image is a...
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08/11/2021
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery
We present SIDER(Single-Image neural optimization for facial geometric D...
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07/26/2021
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction
Recent learning approaches that implicitly represent surface geometry us...
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07/08/2021
Uncertainty-Aware Camera Pose Estimation from Points and Lines
Perspective-n-Point-and-Line (PnPL) algorithms aim at fast, accurate, an...
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05/18/2021
Multi-Person Extreme Motion Prediction with Cross-Interaction Attention
Human motion prediction aims to forecast future human poses given a sequ...
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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...
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03/11/2021
SMPLicit: Topology-aware Generative Model for Clothed People
In this paper we introduce SMPLicit, a novel generative model to jointly...
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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...
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12/14/2020
FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction
Facial Expressions induce a variety of high-level details on the 3D face...
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11/27/2020
D-NeRF: Neural Radiance Fields for Dynamic Scenes
Neural rendering techniques combining machine learning with geometric re...
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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...
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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...
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06/22/2020
Neural Cellular Automata Manifold
Very recently, a deep Neural Cellular Automata (NCA)[1] has been propose...
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04/21/2020
Textual Visual Semantic Dataset for Text Spotting
Text Spotting in the wild consists of detecting and recognizing text app...
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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...
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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 ...
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09/17/2019
Semantic Relatedness Based Re-ranker for Text Spotting
Applications such as textual entailment, plagiarism detection or documen...
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04/09/2019
3DPeople: Modeling the Geometry of Dressed Humans
Recent advances in 3D human shape estimation build upon parametric repre...
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03/28/2019
Fast video object segmentation with Spatio-Temporal GANs
Learning descriptive spatio-temporal object models from data is paramoun...
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12/13/2018
Human Motion Prediction via Spatio-Temporal Inpainting
We propose a Generative Adversarial Network (GAN) to forecast 3D human m...
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10/29/2018
Visual Re-ranking with Natural Language Understanding for Text Spotting
Many scene text recognition approaches are based on purely visual inform...
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10/23/2018
Visual Semantic Re-ranker for Text Spotting
Many current state-of-the-art methods for text recognition are based on ...
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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 ...
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09/27/2018
Unsupervised Person Image Synthesis in Arbitrary Poses
We present a novel approach for synthesizing photo-realistic images of p...
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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...
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08/28/2018
Deep Lidar CNN to Understand the Dynamics of Moving Vehicles
Perception technologies in Autonomous Driving are experiencing their gol...
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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...
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08/22/2018
Joint Coarse-And-Fine Reasoning for Deep Optical Flow
We propose a novel representation for dense pixel-wise estimation tasks ...
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07/24/2018
GANimation: Anatomically-aware Facial Animation from a Single Image
Recent advances in Generative Adversarial Networks (GANs) have shown imp...
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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...
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03/23/2016
BreakingNews: Article Annotation by Image and Text Processing
Building upon recent Deep Neural Network architectures, current approach...
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09/07/2015
Structured Prediction with Output Embeddings for Semantic Image Annotation
We address the task of annotating images with semantic tuples. Solving t...
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03/08/2015