Alexey Artemov

60 papers A* 6A 3B 1C 4Misc 1Journal 31Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A3D: Does Diffusion Dream about 3D Alignment? ICLR Savva Victorovich Ignatyev, Nina Konovalova, Daniil Selikhanovych, Oleg Voynov, Nikolay Patakin, Ilya Olkov, Dmitry Senushkin, Alexey Artemov, Anton Konushin, Alexander Filippov, Peter Wonka, Evgeny Burnaev
2025	J	`jnl`	Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks. CoRR Dmitrii Pozdeev, Alexey Artemov, Ananta R. Bhattarai, Artem Sevastopolsky
2024	A	`conf`	AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans. IROS Cedric Perauer, Laurenz Adrian Heidrich, Haifan Zhang, Matthias Nießner, Anastasiia Kornilova, Alexey Artemov
2024	J	`jnl`	AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans. CoRR Cedric Perauer, Laurenz Adrian Heidrich, Haifan Zhang, Matthias Nießner, Anastasiia Kornilova, Alexey Artemov
2024	A	`conf`	DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping. IROS Kutay Yilmaz, Matthias Nießner, Anastasiia Kornilova, Alexey Artemov
2024	J	`jnl`	DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping. CoRR Kutay Yilmaz, Matthias Nießner, Anastasiia Kornilova, Alexey Artemov
2024	A*	`conf`	MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. CVPR Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, Daniele Sirigatti, Vladislav Rosov, Angela Dai, Matthias Nießner
2024	J	`jnl`	SSR-2D: Semantic 3D Scene Reconstruction From 2D Images. IEEE Trans. Pattern Anal. Mach. Intell. Junwen Huang, Alexey Artemov, Yujin Chen, Shuaifeng Zhi, Kai Xu, Matthias Nießner
2024	J	`jnl`	Unpaired Depth Super-Resolution in the Wild. IEEE Access Aleksandr Safin, Maxim Kan, Nikita Drobyshev, Oleg Voynov, Alexey Artemov, Alexander Filippov, Denis Zorin, Evgeny Burnaev
2023	J	`jnl`	MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. CoRR Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, Daniele Sirigatti, Vladislav Rosov, Angela Dai, Matthias Nießner
2023	A*	`conf`	Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction. CVPR Oleg Voynov, Gleb Bobrovskikh, Pavel A. Karpyshev, Saveliy Galochkin, Andrei-Timotei Ardelean, Arseniy Bozhenko, Ekaterina Karmanova, Pavel Kopanev, Yaroslav Labutin-Rymsho, Ruslan Rakhimov, Aleksandr Safin, Valerii Serpiva, Alexey Artemov, Evgeny Burnaev, Dzmitry Tsetserukou, Denis Zorin
2023	J	`jnl`	PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing. CoRR Natalia Soboleva, Olga Gorbunova, Maria Ivanova, Evgeny Burnaev, Matthias Nießner, Denis Zorin, Alexey Artemov
2023	J	`jnl`	S4R: Self-Supervised Semantic Scene Reconstruction from RGB-D Scans. CoRR Junwen Huang, Alexey Artemov, Yujin Chen, Shuaifeng Zhi, Kai Xu, Matthias Nießner
2022	C	`conf`	Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. ICMV Maria Zubrikhina, Dmitrii Masnyi, Rifat Hamoudi, Hamid Alhaj, Bashar Issa, Almira Kustubaeva, Altyngul T. Kamzanova, Manzura Zholdassova, Alexander Bernstein, Evgeny Burnaev, Alexey Artemov, Maxim Sharaev
2022	—	`conf`	Can We Use Neural Regularization to Solve Depth Super-resolution? VISIGRAPP (4: VISAPP) Milena Gazdieva, Oleg Voynov, Alexey Artemov, Youyi Zheng, Luiz Velho, Evgeny Burnaev
2022	J	`jnl`	DEF: deep estimation of sharp geometric features in 3D shapes. ACM Trans. Graph. Albert Matveev, Ruslan Rakhimov, Alexey Artemov, Gleb Bobrovskikh, Vage Egiazarian, Emil Bogomolov, Daniele Panozzo, Denis Zorin, Evgeny Burnaev
2022	J	`jnl`	Multi-sensor large-scale dataset for multi-view 3D reconstruction. CoRR Oleg Voynov, Gleb Bobrovskikh, Pavel A. Karpyshev, Andrei-Timotei Ardelean, Arseniy Bozhenko, Saveliy Galochkin, Ekaterina Karmanova, Pavel Kopanev, Yaroslav Labutin-Rymsho, Ruslan Rakhimov, Aleksandr Safin, Valerii Serpiva, Alexey Artemov, Evgeny Burnaev, Dzmitry Tsetserukou, Denis Zorin
2022	—	`conf`	Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans. VISIGRAPP (5: VISAPP) Alexandr Notchenko, Vladislav Ishimtsev, Alexey Artemov, Vadim Selyutin, Emil Bogomolov, Evgeny Burnaev
2022	J	`jnl`	Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans. CoRR Alexandr Notchenko, Vladislav Ishimtsev, Alexey Artemov, Vadim Selyutin, Emil Bogomolov, Evgeny Burnaev
2021	—	`conf`	3D Parametric Wireframe Extraction Based on Distance Fields. AIPR Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2021	J	`jnl`	3D Parametric Wireframe Extraction Based on Distance Fields. CoRR Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2021	J	`jnl`	Can We Use Neural Regularization to Solve Depth Super-Resolution? CoRR Milena Gazdieva, Oleg Voynov, Alexey Artemov, Youyi Zheng, Luiz Velho, Evgeny Burnaev
2021	—	`conf`	Latent Video Transformer. VISIGRAPP (5: VISAPP) Ruslan Rakhimov, Denis Volkhonskiy, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2021	A	`conf`	Making DensePose fast and light. WACV Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2021	A*	`conf`	Towards Part-Based Understanding of RGB-D Scans. CVPR Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai
2021	J	`jnl`	Towards Unpaired Depth Enhancement and Super-Resolution in the Wild. CoRR Aleksandr Safin, Maxim Kan, Nikita Drobyshev, Oleg Voynov, Alexey Artemov, Alexander Filippov, Denis Zorin, Evgeny Burnaev
2020	—	`conf`	CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. ECCV (13) Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Nießner, Denis Zorin, Evgeny Burnaev
2020	J	`jnl`	CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. CoRR Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Nießner, Denis Zorin, Evgeny Burnaev
2020	J	`jnl`	DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes. CoRR Albert Matveev, Alexey Artemov, Ruslan Rakhimov, Gleb Bobrovskikh, Daniele Panozzo, Denis Zorin, Evgeny Burnaev
2020	—	`conf`	Deep Vectorization of Technical Drawings. ECCV (13) Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev
2020	J	`jnl`	Deep Vectorization of Technical Drawings. CoRR Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev
2020	—	`conf`	Geometric Attention for Prediction of Differential Properties in 3D Point Clouds. ANNPR Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2020	J	`jnl`	Geometric Attention for Prediction of Differential Properties in 3D Point Clouds. CoRR Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2020	J	`jnl`	Latent Video Transformer. CoRR Ruslan Rakhimov, Denis Volkhonskiy, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2020	—	`conf`	Latent-space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. VISIGRAPP (4: VISAPP) Vage Egiazarian, Savva Ignatyev, Alexey Artemov, Oleg Voynov, Andrey Kravchenko, Youyi Zheng, Luiz Velho, Evgeny Burnaev
2020	J	`jnl`	Making DensePose fast and light. CoRR Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2020	—	`conf`	Monocular 3D Object Detection via Geometric Reasoning on Keypoints. VISIGRAPP (5: VISAPP) Ivan Barabanau, Alexey Artemov, Evgeny Burnaev, Vyacheslav Murashkin
2020	J	`jnl`	Towards Part-Based Understanding of RGB-D Scans. CoRR Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai
2019	A*	`conf`	ABC: A Big CAD Model Dataset for Geometric Deep Learning. CVPR Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo
2019	J	`jnl`	Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. CoRR Vage Egiazarian, Savva Ignatyev, Alexey Artemov, Oleg Voynov, Andrey Kravchenko, Youyi Zheng, Luiz Velho, Evgeny Burnaev
2019	Misc	`conf`	Learning to Approximate Directional Fields Defined Over 2D Planes. AIST Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev
2019	J	`jnl`	Learning to Approximate Directional Fields Defined over 2D Planes. CoRR Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev
2019	J	`jnl`	Monocular 3D Object Detection via Geometric Reasoning on Keypoints. CoRR Ivan Barabanau, Alexey Artemov, Evgeny Burnaev, Vyacheslav Murashkin
2019	A*	`conf`	Perceptual Deep Depth Super-Resolution. ICCV Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexandr Notchenko, Gleb Bobrovskikh, Evgeny Burnaev, Denis Zorin
2019	—	`conf`	Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks. ISNN (2) Maria Kolos, Anton Marin, Alexey Artemov, Evgeny Burnaev
2019	J	`jnl`	Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks. CoRR Maria Kolos, Anton Marin, Alexey Artemov, Evgeny Burnaev
2019	C	`conf`	Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. ICMLA Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev
2019	J	`jnl`	Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. CoRR Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev
2018	J	`jnl`	ABC: A Big CAD Model Dataset For Geometric Deep Learning. CoRR Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo
2018	—	`conf`	Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. ICDM Workshops Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev
2018	B	`conf`	MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. DSAA Maksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev
2018	J	`jnl`	Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry. CoRR Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Maxim Sharaev, Alexander Andreev, Alexey Artemov, Renat Akzhigitov
2018	—	`conf`	Pattern Recognition Pipeline for Neuroimaging Data. ANNPR Maxim Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin, Alexander Bernstein
2018	J	`jnl`	Perceptually-based single-image depth super-resolution. CoRR O. Voinov, Alexey Artemov, Vage Egiazarian, Alexandr Notchenko, Gleb Bobrovskikh, Denis Zorin, Evgeniy Burnaev
2018	—	`conf`	Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data. ICDM Workshops Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev
2018	J	`jnl`	fMRI: preprocessing, classification and pattern recognition. CoRR Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov
2016	—	`conf`	Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence. ICDM Workshops Alexey Artemov, Evgeny Burnaev
2015	C	`conf`	Ensembles of detectors for online detection of transient changes. ICMV Alexey Artemov, Evgeny Burnaev
2015	J	`jnl`	Event Index - a LHCb Event Search System. CoRR Andrey Ustyuzhanin, Alexey Artemov, Nikita Kazeev, Artem Redkin
2015	C	`conf`	Nonparametric decomposition of quasi-periodic time series for change-point detection. ICMV Alexey Artemov, Evgeny Burnaev, Andrey Lokot