Texturing Calibrated Head Model from Images. - Victor S. Lempitsky; Denis V. Ivanov; Yevgeniy Kuzmin (Eurographics (Short Presentations), 2002)

Modeling with Spatial Patches. - Denis V. Ivanov; Yevgeniy Kuzmin; Victor S. Lempitsky (Shape Modeling International, 2002)

Creating and Animating Personalized Head Models from Digital Photographs and Video. - V. G. Zhislina; Denis V. Ivanov; V. F. Kuriakin; Victor S. Lempitsky; E. M. Martinova; Konstantin Vladimirovich Rodyushkin; T. V. Firsova; A. A. Khropov; Alexander V. Shokurov (Program. Comput. Softw., 2004)

From Photohulls to Photoflux Optimization. - Yuri Boykov; Victor S. Lempitsky (BMVC, 2006)

Oriented Visibility for Multiview Reconstruction. - Victor S. Lempitsky; Yuri Boykov; Denis V. Ivanov (ECCV (3), 2006)

Global Optimization for Shape Fitting. - Victor S. Lempitsky; Yuri Boykov (CVPR, 2007)

Seamless Mosaicing of Image-Based Texture Maps. - Victor S. Lempitsky; Denis V. Ivanov (CVPR, 2007)

Optimizing Binary MRFs via Extended Roof Duality. - Carsten Rother; Vladimir Kolmogorov; Victor S. Lempitsky; Martin Szummer (CVPR, 2007)

LogCut - Efficient Graph Cut Optimization for Markov Random Fields. - Victor S. Lempitsky; Carsten Rother; Andrew Blake 001 (ICCV, 2007)

FusionFlow: Discrete-continuous optimization for optical flow estimation. - Victor S. Lempitsky; Stefan Roth 001; Carsten Rother (CVPR, 2008)

Discrete-Continuous Optimization for Optical Flow Estimation. - Stefan Roth 001; Victor S. Lempitsky; Carsten Rother (Statistical and Geometrical Approaches to Visual Motion Analysis, 2008)

Image Segmentation by Branch-and-Mincut. - Victor S. Lempitsky; Andrew Blake 001; Carsten Rother (ECCV (4), 2008)

Class-specific Hough forests for object detection. - Juergen Gall; Victor S. Lempitsky (CVPR, 2009)

Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography. - Victor S. Lempitsky; Michael Verhoek; J. Alison Noble; Andrew Blake 001 (FIMH, 2009)

Image segmentation with a bounding box prior. - Victor S. Lempitsky; Pushmeet Kohli; Carsten Rother; Toby Sharp (ICCV, 2009)

Surface extraction from binary volumes with higher-order smoothness. - Victor S. Lempitsky (CVPR, 2010)

Uncertainty Driven Multi-scale Optimization. - Pushmeet Kohli; Victor S. Lempitsky; Carsten Rother (DAGM-Symposium, 2010)

Learning To Count Objects in Images. - Victor S. Lempitsky; Andrew Zisserman (NIPS, 2010)

Fusion Moves for Markov Random Field Optimization. - Victor S. Lempitsky; Carsten Rother; Stefan Roth 001; Andrew Blake 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

The devil is in the details: an evaluation of recent feature encoding methods. - Ken Chatfield; Victor S. Lempitsky; Andrea Vedaldi; Andrew Zisserman (BMVC, 2011)

BiCoS: A Bi-level co-segmentation method for image classification. - Yuning Chai; Victor S. Lempitsky; Andrew Zisserman (ICCV, 2011)

Humanising GrabCut: Learning to segment humans using the Kinect. - Varun Gulshan; Victor S. Lempitsky; Andrew Zisserman (ICCV Workshops, 2011)

Pylon Model for Semantic Segmentation. - Victor S. Lempitsky; Andrea Vedaldi; Andrew Zisserman (NIPS, 2011)

Hough Forests for Object Detection, Tracking, and Action Recognition. - Juergen Gall; Angela Yao; Nima Razavi; Luc Van Gool; Victor S. Lempitsky (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for Image Classification. - Yuning Chai; Esa Rahtu; Victor S. Lempitsky; Luc Van Gool; Andrew Zisserman (ECCV (1), 2012)

Large-Lexicon Attribute-Consistent Text Recognition in Natural Images. - Tatiana Novikova; Olga Barinova; Pushmeet Kohli; Victor S. Lempitsky (ECCV (6), 2012)

Learning to Detect Cells Using Non-overlapping Extremal Regions. - Carlos Arteta; Victor S. Lempitsky; J. Alison Noble; Andrew Zisserman (MICCAI (1), 2012)

Geometric Image Parsing in Man-Made Environments. - Elena Tretyak; Olga Barinova; Pushmeet Kohli; Victor S. Lempitsky (Int. J. Comput. Vis., 2012)

Branch-and-Mincut: Global Optimization for Image Segmentation with High-Level Priors. - Victor S. Lempitsky; Andrew Blake 001; Carsten Rother (J. Math. Imaging Vis., 2012)

On Detection of Multiple Object Instances Using Hough Transforms. - Olga Barinova; Victor S. Lempitsky; Pushmeet Kohli (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Learning to Detect Partially Overlapping Instances. - Carlos Arteta; Victor S. Lempitsky; J. Alison Noble; Andrew Zisserman (CVPR, 2013)

Symbiotic Segmentation and Part Localization for Fine-Grained Categorization. - Yuning Chai; Victor S. Lempitsky; Andrew Zisserman (ICCV, 2013)

Image Binarization for End-to-End Text Understanding in Natural Images. - Sergey Milyaev; Olga Barinova; Tatiana Novikova; Pushmeet Kohli; Victor S. Lempitsky (ICDAR, 2013)

Guest Editorial: Energy Optimization Methods. - Yuri Boykov; Fredrik Kahl; Victor S. Lempitsky; Frank R. Schmidt (Int. J. Comput. Vis., 2013)

N^4 -Fields: Neural Network Nearest Neighbor Fields for Image Transforms. - Yaroslav Ganin; Victor S. Lempitsky (ACCV (2), 2014)

Additive Quantization for Extreme Vector Compression. - Artem Babenko; Victor S. Lempitsky (CVPR, 2014)

Interactive Object Counting. - Carlos Arteta; Victor S. Lempitsky; J. Alison Noble; Andrew Zisserman (ECCV (3), 2014)

Neural Codes for Image Retrieval. - Artem Babenko; Anton Slesarev; Alexander Chigorin; Victor S. Lempitsky (ECCV (1), 2014)

Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions. - Artem Babenko; Victor S. Lempitsky (CoRR, 2014)

N4-Fields: Neural Network Nearest Neighbor Fields for Image Transforms. - Yaroslav Ganin; Victor S. Lempitsky (CoRR, 2014)

Tree quantization for large-scale similarity search and classification. - Artem Babenko; Victor S. Lempitsky (CVPR, 2015)

Learning to look up: Realtime monocular gaze correction using machine learning. - Daniil Kononenko; Victor S. Lempitsky (CVPR, 2015)

Motion compensation in a tomographic ultrasound imaging system: Toward volumetric scans of a limb for prosthetic socket design. - Bryan J. Ranger; Micha Feigin; Nikita Pestrov; Xiang Zhang; Victor S. Lempitsky; Hugh M. Herr; Brian W. Anthony (EMBC, 2015)

A single element 3D ultrasound tomography system. - Xiang Zhang; Jonathan Fincke; Andrey Kuzmin; Victor S. Lempitsky; Brian W. Anthony (EMBC, 2015)

Aggregating Local Deep Features for Image Retrieval. - Artem Babenko; Victor S. Lempitsky (ICCV, 2015)

Unsupervised Domain Adaptation by Backpropagation. - Yaroslav Ganin; Victor S. Lempitsky (ICML, 2015)

Aggregating Deep Convolutional Features for Image Retrieval. - Artem Babenko; Victor S. Lempitsky (CoRR, 2015)

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition. - Vadim Lebedev; Yaroslav Ganin; Maksim Rakhuba; Ivan V. Oseledets; Victor S. Lempitsky (ICLR (Poster), 2015)

Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification. - Evgeniya Ustinova; Yaroslav Ganin; Victor S. Lempitsky (CoRR, 2015)

Fast and accurate scene text understanding with image binarization and off-the-shelf OCR. - Sergey Milyaev; Olga Barinova; Tatiana Novikova; Pushmeet Kohli; Victor S. Lempitsky (Int. J. Document Anal. Recognit., 2015)

The Inverted Multi-Index. - Artem Babenko; Victor S. Lempitsky (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Fast ConvNets Using Group-Wise Brain Damage. - Vadim Lebedev; Victor S. Lempitsky (CVPR, 2016)

Efficient Indexing of Billion-Scale Datasets of Deep Descriptors. - Artem Babenko; Victor S. Lempitsky (CVPR, 2016)

Counting in the Wild. - Carlos Arteta; Victor S. Lempitsky; Andrew Zisserman (ECCV (7), 2016)

DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation. - Yaroslav Ganin; Daniil Kononenko; Diana Sungatullina; Victor S. Lempitsky (ECCV (2), 2016)

Texture Networks: Feed-forward Synthesis of Textures and Stylized Images. - Dmitry Ulyanov; Vadim Lebedev; Andrea Vedaldi; Victor S. Lempitsky (ICML, 2016)

Fast low-cost single element ultrasound reflectivity tomography using angular distribution analysis. - Andrey Kuzmin; Xiang Zhang; Jonathan Fincke; Micha Feigin; Brian W. Anthony; Victor S. Lempitsky (ISBI, 2016)

Learnable Visual Markers. - Oleg Grinchuk; Vadim Lebedev; Victor S. Lempitsky (NIPS, 2016)

Learning Deep Embeddings with Histogram Loss. - Evgeniya Ustinova; Victor S. Lempitsky (NIPS, 2016)

Pairwise Quantization. - Artem Babenko; Relja Arandjelovic; Victor S. Lempitsky (CoRR, 2016)

Instance Normalization: The Missing Ingredient for Fast Stylization. - Dmitry Ulyanov; Andrea Vedaldi; Victor S. Lempitsky (CoRR, 2016)

Internet-Based Image Retrieval Using End-to-End Trained Deep Distributions. - Alexander Vakhitov; Andrey Kuzmin; Victor S. Lempitsky (CoRR, 2016)

Domain-Adversarial Training of Neural Networks. - Yaroslav Ganin; Evgeniya Ustinova; Hana Ajakan; Pascal Germain; Hugo Larochelle; François Laviolette; Mario Marchand; Victor S. Lempitsky (J. Mach. Learn. Res., 2016)

Detecting overlapping instances in microscopy images using extremal region trees. - Carlos Arteta; Victor S. Lempitsky; J. Alison Noble; Andrew Zisserman (Medical Image Anal., 2016)

Multi-Region bilinear convolutional neural networks for person re-identification. - Evgeniya Ustinova; Yaroslav Ganin; Victor S. Lempitsky (AVSS, 2017)

Product Split Trees. - Artem Babenko; Victor S. Lempitsky (CVPR, 2017)

Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis. - Dmitry Ulyanov; Andrea Vedaldi; Victor S. Lempitsky (CVPR, 2017)

Parsing Images of Overlapping Organisms with Deep Singling-Out Networks. - Victor Yurchenko; Victor S. Lempitsky (CVPR, 2017)

AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding. - Artem Babenko; Victor S. Lempitsky (ICCV, 2017)

Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models. - Roman Klokov; Victor S. Lempitsky (ICCV, 2017)

End-to-End learning of cost-volume aggregation for real-time dense stereo. - Andrey Kuzmin; Dmitry Mikushin; Victor S. Lempitsky (MLSP, 2017)

Adversarial Generator-Encoder Networks. - Dmitry Ulyanov; Andrea Vedaldi; Victor S. Lempitsky (CoRR, 2017)

Deep multi-frame face hallucination for face identification. - Evgeniya Ustinova; Victor S. Lempitsky (CoRR, 2017)

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. - Li Yi 001; Lin Shao 002; Manolis Savva; Haibin Huang; Yang Zhou 009; Qirui Wang; Benjamin Graham; Martin Engelcke; Roman Klokov; Victor S. Lempitsky; Yuan Gan; Pengyu Wang 004; et al. (CoRR, 2017)

Domain-Adversarial Training of Neural Networks. - Yaroslav Ganin; Evgeniya Ustinova; Hana Ajakan; Pascal Germain; Hugo Larochelle; François Laviolette; Mario Marchand; Victor S. Lempitsky (Domain Adaptation in Computer Vision Applications, 2017)

It Takes (Only) Two: Adversarial Generator-Encoder Networks. - Dmitry Ulyanov; Andrea Vedaldi; Victor S. Lempitsky (AAAI, 2018)

Image Manipulation with Perceptual Discriminators. - Diana Sungatullina; Egor Zakharov; Dmitry Ulyanov; Victor S. Lempitsky (ECCV (6), 2018)

Stereo Relative Pose from Line and Point Feature Triplets. - Alexander Vakhitov; Victor S. Lempitsky; Yinqiang Zheng (ECCV (8), 2018)

Semi-Supervised Learning for Monocular Gaze Redirection. - Daniil Kononenko; Victor S. Lempitsky (FG, 2018)

Deep Neural Networks with Box Convolutions. - Egor Burkov; Victor S. Lempitsky (NeurIPS, 2018)

CarpetVR: The Magic Carpet Meets the Magic Mirror. - Victor S. Lempitsky; Alexander Vakhitov; Andrew Starostin (VR, 2018)

Impostor Networks for Fast Fine-Grained Recognition. - Vadim Lebedev; Artem Babenko; Victor S. Lempitsky (CoRR, 2018)

Instance Segmentation by Deep Coloring. - Victor Kulikov; Victor Yurchenko; Victor S. Lempitsky (CoRR, 2018)

Coordinate-based Texture Inpainting for Pose-Guided Image Generation. - Artur Grigorev 002; Artem Sevastopolsky; Alexander Vakhitov; Victor S. Lempitsky (CoRR, 2018)

Set2Model networks: Learning discriminatively to learn generative models. - Alexander Vakhitov; Andrey Kuzmin; Victor S. Lempitsky (Comput. Vis. Image Underst., 2018)

Photorealistic Monocular Gaze Redirection Using Machine Learning. - Daniil Kononenko; Yaroslav Ganin; Diana Sungatullina; Victor S. Lempitsky (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation. - Artur Grigorev 002; Artem Sevastopolsky; Alexander Vakhitov; Victor S. Lempitsky (CVPR, 2019)

Textured Neural Avatars. - Aliaksandra Shysheya; Egor Zakharov; Kara-Ali Aliev; Renat Bashirov; Egor Burkov; Karim Iskakov; Aleksei Ivakhnenko; Yury Malkov; Igor Pasechnik; Dmitry Ulyanov; Alexander Vakhitov; Victor S. Lempitsky (CVPR, 2019)

Learnable Triangulation of Human Pose. - Karim Iskakov; Egor Burkov; Victor S. Lempitsky; Yury Malkov (ICCV, 2019)

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models. - Egor Zakharov; Aliaksandra Shysheya; Egor Burkov; Victor S. Lempitsky (ICCV, 2019)

Latent Convolutional Models. - ShahRukh Athar; Evgeny Burnaev; Victor S. Lempitsky (ICLR (Poster), 2019)

Learnable Line Segment Descriptor for Visual SLAM. - Alexander Vakhitov; Victor S. Lempitsky (IEEE Access, 2019)

Neural Point-Based Graphics. - Kara-Ali Aliev; Dmitry Ulyanov; Victor S. Lempitsky (CoRR, 2019)

DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images. - Victor Kulikov; Syuan-Ming Guo; Matthew Stone; Allen Goodman; Anne E. Carpenter; Mark Bathe; Victor S. Lempitsky (PLoS Comput. Biol., 2019)

TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer. - Maria Kolos; Artem Sevastopolsky; Victor Lempitsky (3DV, 2020)

High-Resolution Daytime Translation Without Domain Labels. - Ivan Anokhin; Pavel Solovev; Denis Korzhenkov; Alexey Kharlamov; Taras Khakhulin; Aleksei Silvestrov; Sergey I. Nikolenko; Victor Lempitsky; Gleb Sterkin (CVPR, 2020)

Neural Head Reenactment with Latent Pose Descriptors. - Egor Burkov; Igor Pasechnik; Artur Grigorev 002; Victor S. Lempitsky (CVPR, 2020)

Hyperbolic Image Embeddings. - Valentin Khrulkov; Leyla Mirvakhabova; Evgeniya Ustinova; Ivan V. Oseledets; Victor S. Lempitsky (CVPR, 2020)

Instance Segmentation of Biological Images Using Harmonic Embeddings. - Victor Kulikov; Victor S. Lempitsky (CVPR, 2020)

Neural Point-Based Graphics. - Kara-Ali Aliev; Artem Sevastopolsky; Maria Kolos; Dmitry Ulyanov; Victor S. Lempitsky (ECCV (22), 2020)

DeepLandscape: Adversarial Modeling of Landscape Videos. - Elizaveta Logacheva; Roman Suvorov; Oleg Khomenko; Anton Mashikhin; Victor Lempitsky (ECCV (23), 2020)

Fast Bi-Layer Neural Synthesis of One-Shot Realistic Head Avatars. - Egor Zakharov; Aleksei Ivakhnenko; Aliaksandra Shysheya; Victor S. Lempitsky (ECCV (12), 2020)

Cloud Transformers. - Kirill Mazur; Victor Lempitsky (CoRR, 2020)

DeepLandscape: Adversarial Modeling of Landscape Video. - Elizaveta Logacheva; Roman Suvorov; Oleg Khomenko; Anton Mashikhin; Victor Lempitsky (CoRR, 2020)

Relightable 3D Head Portraits from a Smartphone Video. - Artem Sevastopolsky; Savva Ignatiev; Gonzalo Ferrer 001; Evgeny Burnaev; Victor Lempitsky (CoRR, 2020)

Deep Image Prior. - Dmitry Ulyanov; Andrea Vedaldi; Victor S. Lempitsky (Int. J. Comput. Vis., 2020)

Image Generators With Conditionally-Independent Pixel Synthesis. - Ivan Anokhin; Kirill Demochkin; Taras Khakhulin; Gleb Sterkin; Victor Lempitsky; Denis Korzhenkov (CVPR, 2021)

StylePeople: A Generative Model of Fullbody Human Avatars. - Artur Grigorev 002; Karim Iskakov; Anastasia Ianina; Renat Bashirov; Ilya Zakharkin; Alexander Vakhitov; Victor Lempitsky (CVPR, 2021)

Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks. - Kirill Mazur; Victor Lempitsky (ICCV, 2021)

Point-Based Modeling of Human Clothing. - Ilya Zakharkin; Kirill Mazur; Artur Grigorev 002; Victor Lempitsky (ICCV, 2021)

Real-time RGBD-based Extended Body Pose Estimation. - Renat Bashirov; Anastasia Ianina; Karim Iskakov; Yevgeniy Kononenko; Valeriya Strizhkova; Victor Lempitsky; Alexander Vakhitov (WACV, 2021)

CNN with large memory layers. - Rasul Karimov; Victor Lempitsky (CoRR, 2021)

Perceptual Gradient Networks. - Dmitry Nikulin; Roman Suvorov; Aleksei Ivakhnenko; Victor Lempitsky (CoRR, 2021)

Stereo Magnification with Multi-Layer Images. - Taras Khakhulin; Denis Korzhenkov; Pavel Solovev; Gleb Sterkin; Andrei-Timotei Ardelean; Victor Lempitsky (CVPR, 2022)

NPBG++: Accelerating Neural Point-Based Graphics. - Ruslan Rakhimov; Andrei-Timotei Ardelean; Victor Lempitsky; Evgeny Burnaev (CVPR, 2022)

Realistic One-Shot Mesh-Based Head Avatars. - Taras Khakhulin; Vanessa Sklyarova; Victor Lempitsky; Egor Zakharov (ECCV (2), 2022)

MegaPortraits: One-shot Megapixel Neural Head Avatars. - Nikita Drobyshev; Jenya Chelishev; Taras Khakhulin; Aleksei Ivakhnenko; Victor Lempitsky; Egor Zakharov (ACM Multimedia, 2022)

Resolution-robust Large Mask Inpainting with Fourier Convolutions. - Roman Suvorov; Elizaveta Logacheva; Anton Mashikhin; Anastasia Remizova; Arsenii Ashukha; Aleksei Silvestrov; Naejin Kong; Harshith Goka; Kiwoong Park; Victor Lempitsky (WACV, 2022)

Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction. - Vanessa Sklyarova; Jenya Chelishev; Andreea Dogaru; Igor Medvedev; Victor Lempitsky; Egor Zakharov (ICCV, 2023)

DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars. - David Svitov; Dmitrii Gudkov; Renat Bashirov; Victor Lempitsky (ICCV, 2023)

Multi-NeuS: 3D Head Portraits From Single Image With Neural Implicit Functions. - Egor Burkov; Ruslan Rakhimov; Aleksandr Safin; Evgeny Burnaev; Victor Lempitsky (IEEE Access, 2023)

MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video. - Renat Bashirov; Alexey Larionov; Evgeniya Ustinova; Mikhail Sidorenko; David Svitov; Ilya Zakharkin; Victor Lempitsky (WACV, 2024)