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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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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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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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05/07/2022
Towards Computationally Feasible Deep Active Learning
Active learning (AL) is a prominent technique for reducing the annotatio...
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06/15/2021
Adversarial Attacks on Deep Models for Financial Transaction Records
Machine learning models using transaction records as inputs are popular ...
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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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02/19/2020
Event sequence metric learning
In this paper we consider a challenging problem of learning discriminati...
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10/29/2019
Minimal Variance Sampling in Stochastic Gradient Boosting
Stochastic Gradient Boosting (SGB) is a widely used approach to regulari...
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06/20/2019
Latent Distribution Assumption for Unbiased and Consistent Consensus Modelling
We study the problem of aggregation noisy labels. Usually, it is solved ...
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06/09/2019
Aggregation of pairwise comparisons with reduction of biases
We study the problem of ranking from crowdsourced pairwise comparisons. ...
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09/03/2018
Online Evaluation for Effective Web Service Development
Development of the majority of the leading web services and software pro...
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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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04/26/2017
Riemannian Optimization for Skip-Gram Negative Sampling
Skip-Gram Negative Sampling (SGNS) word embedding model, well known by i...
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12/13/2016
User Model-Based Intent-Aware Metrics for Multilingual Search Evaluation
Despite the growing importance of multilingual aspect of web search, no ...
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10/16/2016
