Alexey Artemov

Orcid: 0000-0001-5451-7492

According to our database1, Alexey Artemov authored at least 36 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping.
CoRR, 2024

AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans.
CoRR, 2024

2023
PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing.
CoRR, 2023

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers.
CoRR, 2023

S4R: Self-Supervised Semantic Scene Reconstruction from RGB-D Scans.
CoRR, 2023

Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
DEF: deep estimation of sharp geometric features in 3D shapes.
ACM Trans. Graph., 2022

Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Can We Use Neural Regularization to Solve Depth Super-resolution?
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021
Towards Unpaired Depth Enhancement and Super-Resolution in the Wild.
CoRR, 2021

Making DensePose fast and light.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Latent Video Transformer.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Towards Part-Based Understanding of RGB-D Scans.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D Parametric Wireframe Extraction Based on Distance Fields.
Proceedings of the AIPR 2021: 4th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, September 24, 2021

2020
DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes.
CoRR, 2020

Latent-space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Monocular 3D Object Detection via Geometric Reasoning on Keypoints.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

CAD-Deform: Deformable Fitting of CAD Models to 3D Scans.
Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Vectorization of Technical Drawings.
Proceedings of the Computer Vision - ECCV 2020, 2020

Geometric Attention for Prediction of Differential Properties in 3D Point Clouds.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

2019
Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Perceptual Deep Depth Super-Resolution.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

ABC: A Big CAD Model Dataset for Geometric Deep Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Approximate Directional Fields Defined Over 2D Planes.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019

2018
Perceptually-based single-image depth super-resolution.
CoRR, 2018

fMRI: preprocessing, classification and pattern recognition.
CoRR, 2018

Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry.
CoRR, 2018

Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Pattern Recognition Pipeline for Neuroimaging Data.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2016
Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Event Index - a LHCb Event Search System.
CoRR, 2015

Nonparametric decomposition of quasi-periodic time series for change-point detection.
Proceedings of the Eighth International Conference on Machine Vision, 2015

Ensembles of detectors for online detection of transient changes.
Proceedings of the Eighth International Conference on Machine Vision, 2015


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