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08/30/2023
SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines
Recent breakthroughs in geometric Deep Learning (DL) and the availabilit...
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08/14/2023
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
Accurate, robust, and real-time LiDAR-based odometry (LO) is imperative ...
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08/01/2023
Space Debris: Are Deep Learning-based Image Enhancements part of the Solution?
The volume of space debris currently orbiting the Earth is reaching an u...
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07/19/2023
Impact of Disentanglement on Pruning Neural Networks
Deploying deep learning neural networks on edge devices, to accomplish t...
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05/22/2023
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images
In recent years, deep learning (DL) has shown great potential in the fie...
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05/12/2023
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects
Estimating the pose of an uncooperative spacecraft is an important compu...
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04/13/2023
SepicNet: Sharp Edges Recovery by Parametric Inference of Curves in 3D Shapes
3D scanning as a technique to digitize objects in reality and create the...
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03/04/2023
Self-Supervised Learning for Biologically-Inspired Place Representation Generalization across Appearance Changes
Visual place recognition is a key to unlocking spatial navigation for an...
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03/03/2023
3D-Aware Object Localization using Gaussian Implicit Occupancy Function
To automatically localize a target object in an image is crucial for man...
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01/25/2023
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification
In this paper, a discriminator-free adversarial-based Unsupervised Domai...
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01/11/2023
Multi-label Image Classification using Adaptive Graph Convolutional Networks: from a Single Domain to Multiple Domains
This paper proposes an adaptive graph-based approach for multi-label ima...
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12/06/2022
Unsupervised Anomaly Detection in Time-series: An Extensive Evaluation and Analysis of State-of-the-art Methods
Unsupervised anomaly detection in time-series has been extensively inves...
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10/21/2022
A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes
Deep neural networks (DNNs) are typically optimized using various forms ...
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08/22/2022
CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations
3D reverse engineering is a long sought-after, yet not completely achiev...
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08/18/2022
Lessons from a Space Lab – An Image Acquisition Perspective
The use of Deep Learning (DL) algorithms has improved the performance of...
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08/18/2022
TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network
Reconstructing 3D human body shapes from 3D partial textured scans remai...
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04/05/2022
Leveraging Equivariant Features for Absolute Pose Regression
While end-to-end approaches have achieved state-of-the-art performance i...
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04/20/2021
Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation
In this paper, we propose a new deep learning-based approach for disenta...
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04/19/2021
LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network
Being capable of estimating the pose of uncooperative objects in space h...
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04/19/2021
Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Identification/Recognition
Face identification/recognition has significantly advanced over the past...
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04/13/2021
SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment
This paper proposes the SPARK dataset as a new unique space object multi...
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01/12/2021
PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D
We propose a Point-Voxel DeConvolution (PVDeConv) module for 3D data aut...
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10/26/2020
SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results
The SHApe Recovery from Partial textured 3D scans challenge, SHARP 2020,...
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10/23/2020
3DBooSTeR: 3D Body Shape and Texture Recovery
We propose 3DBooSTeR, a novel method to recover a textured 3D body mesh ...
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04/21/2020
Towards Generalization of 3D Human Pose Estimation In The Wild
In this paper, we propose 3DBodyTex.Pose, a dataset that addresses the t...
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12/20/2019
Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition
This paper extends the Spatial-Temporal Graph Convolutional Network (ST-...
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05/23/2019
Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration
Complete and textured 3D reconstruction of dynamic scenes has been facil...
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04/10/2019
Localized Trajectories for 2D and 3D Action Recognition
The Dense Trajectories concept is one of the most successful approaches ...
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08/04/2018
Deep Learning Advances on Different 3D Data Representations: A Survey
3D data is a valuable asset in the field of computer vision as it provid...
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06/14/2011