Victor S. Lempitsky

According to our database, Victor S. Lempitsky authored at least 123 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video.

Renat Bashirov, Alexey Larionov, Evgeniya Ustinova, Mikhail Sidorenko, David Svitov, Ilya Zakharkin, Victor Lempitsky

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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

DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars.

David Svitov, Dmitrii Gudkov, Renat Bashirov, Victor Lempitsky

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction.

Vanessa Sklyarova, Jenya Chelishev, Andreea Dogaru, Igor Medvedev, Victor Lempitsky, Egor Zakharov

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Stereo Magnification with Multi-Layer Images.

Taras Khakhulin, Denis Korzhenkov, Pavel Solovev, Gleb Sterkin, Timotei Ardelean, Victor Lempitsky

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

MegaPortraits: One-shot Megapixel Neural Head Avatars.

Nikita Drobyshev, Jenya Chelishev, Taras Khakhulin, Aleksei Ivakhnenko, Victor Lempitsky, Egor Zakharov

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Realistic One-Shot Mesh-Based Head Avatars.

Taras Khakhulin, Vanessa Sklyarova, Victor Lempitsky, Egor Zakharov

Proceedings of the Computer Vision - ECCV 2022, 2022

NPBG++: Accelerating Neural Point-Based Graphics.

Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, Evgeny Burnaev

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Stereo Magnification with Multi-Layer Images.

Taras Khakhulin, Denis Korzhenkov, Pavel Solovev, Gleb Sterkin, Andrei-Timotei Ardelean, Victor Lempitsky

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Perceptual Gradient Networks.

Dmitry Nikulin, Roman Suvorov, Aleksei Ivakhnenko, Victor Lempitsky

CoRR, 2021

CNN with large memory layers.

Rasul Karimov, Victor Lempitsky

CoRR, 2021

Real-time RGBD-based Extended Body Pose Estimation.

Renat Bashirov, Anastasia Ianina, Karim Iskakov, Yevgeniy Kononenko, Valeriya Strizhkova, Victor Lempitsky, Alexander Vakhitov

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Point-Based Modeling of Human Clothing.

Ilya Zakharkin, Kirill Mazur, Artur Grigorev, Victor Lempitsky

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks.

Kirill Mazur, Victor Lempitsky

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

StylePeople: A Generative Model of Fullbody Human Avatars.

Artur Grigorev, Karim Iskakov, Anastasia Ianina, Renat Bashirov, Ilya Zakharkin, Alexander Vakhitov, Victor Lempitsky

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Image Generators With Conditionally-Independent Pixel Synthesis.

Ivan Anokhin, Kirill Demochkin, Taras Khakhulin, Gleb Sterkin, Victor Lempitsky, Denis Korzhenkov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep Image Prior.

Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky

Int. J. Comput. Vis., 2020

Relightable 3D Head Portraits from a Smartphone Video.

Artem Sevastopolsky, Savva Ignatiev, Gonzalo Ferrer, Evgeny Burnaev, Victor Lempitsky

CoRR, 2020

DeepLandscape: Adversarial Modeling of Landscape Video.

Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky

CoRR, 2020

Cloud Transformers.

Kirill Mazur, Victor Lempitsky

CoRR, 2020

Fast Bi-Layer Neural Synthesis of One-Shot Realistic Head Avatars.

Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor S. Lempitsky

Proceedings of the Computer Vision - ECCV 2020, 2020

DeepLandscape: Adversarial Modeling of Landscape Videos.

Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky

Proceedings of the Computer Vision - ECCV 2020, 2020

Neural Point-Based Graphics.

Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor S. Lempitsky

Proceedings of the Computer Vision - ECCV 2020, 2020

Instance Segmentation of Biological Images Using Harmonic Embeddings.

Victor Kulikov, Victor S. Lempitsky

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hyperbolic Image Embeddings.

Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neural Head Reenactment with Latent Pose Descriptors.

Egor Burkov, Igor Pasechnik, Artur Grigorev, Victor S. Lempitsky

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer.

Maria Kolos, Artem Sevastopolsky, Victor Lempitsky

Proceedings of the 8th International Conference on 3D Vision, 2020

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

Neural Point-Based Graphics.

Kara-Ali Aliev, Dmitry Ulyanov, Victor S. Lempitsky

CoRR, 2019

Learnable Line Segment Descriptor for Visual SLAM.

Alexander Vakhitov, Victor S. Lempitsky

IEEE Access, 2019

Latent Convolutional Models.

ShahRukh Athar, Evgeny Burnaev, Victor S. Lempitsky

Proceedings of the 7th International Conference on Learning Representations, 2019

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models.

Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor S. Lempitsky

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learnable Triangulation of Human Pose.

Karim Iskakov, Egor Burkov, Victor S. Lempitsky, Yury Malkov

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation.

Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor S. Lempitsky

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Photorealistic Monocular Gaze Redirection Using Machine Learning.

Daniil Kononenko, Yaroslav Ganin, Diana Sungatullina, Victor S. Lempitsky

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Set2Model networks: Learning discriminatively to learn generative models.

Alexander Vakhitov, Andrey Kuzmin, Victor S. Lempitsky

Comput. Vis. Image Underst., 2018

Coordinate-based Texture Inpainting for Pose-Guided Image Generation.

Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor S. Lempitsky

CoRR, 2018

Instance Segmentation by Deep Coloring.

Victor Kulikov, Victor Yurchenko, Victor S. Lempitsky

CoRR, 2018

Impostor Networks for Fast Fine-Grained Recognition.

Vadim Lebedev, Artem Babenko, Victor S. Lempitsky

CoRR, 2018

CarpetVR: The Magic Carpet Meets the Magic Mirror.

Victor S. Lempitsky, Alexander Vakhitov, Andrew Starostin

Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018

Deep Neural Networks with Box Convolutions.

Egor Burkov, Victor S. Lempitsky

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Semi-Supervised Learning for Monocular Gaze Redirection.

Daniil Kononenko, Victor S. Lempitsky

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Stereo Relative Pose from Line and Point Feature Triplets.

Alexander Vakhitov, Victor S. Lempitsky, Yinqiang Zheng

Proceedings of the Computer Vision - ECCV 2018, 2018

Image Manipulation with Perceptual Discriminators.

Diana Sungatullina, Egor Zakharov, Dmitry Ulyanov, Victor S. Lempitsky

Proceedings of the Computer Vision - ECCV 2018, 2018

It Takes (Only) Two: Adversarial Generator-Encoder Networks.

Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Domain-Adversarial Training of Neural Networks.

Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.

Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas

CoRR, 2017

Deep multi-frame face hallucination for face identification.

Evgeniya Ustinova, Victor S. Lempitsky

CoRR, 2017

Adversarial Generator-Encoder Networks.

Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky

CoRR, 2017

End-to-End learning of cost-volume aggregation for real-time dense stereo.

Andrey Kuzmin, Dmitry Mikushin, Victor S. Lempitsky

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models.

Roman Klokov, Victor S. Lempitsky

Proceedings of the IEEE International Conference on Computer Vision, 2017

AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding.

Artem Babenko, Victor S. Lempitsky

Proceedings of the IEEE International Conference on Computer Vision, 2017

Parsing Images of Overlapping Organisms with Deep Singling-Out Networks.

Victor Yurchenko, Victor S. Lempitsky

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis.

Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Product Split Trees.

Artem Babenko, Victor S. Lempitsky

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multi-Region bilinear convolutional neural networks for person re-identification.

Evgeniya Ustinova, Yaroslav Ganin, Victor S. Lempitsky

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

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

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

Internet-Based Image Retrieval Using End-to-End Trained Deep Distributions.

Alexander Vakhitov, Andrey Kuzmin, Victor S. Lempitsky

CoRR, 2016

Instance Normalization: The Missing Ingredient for Fast Stylization.

Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky

CoRR, 2016

Pairwise Quantization.

Artem Babenko, Relja Arandjelovic, Victor S. Lempitsky

CoRR, 2016

Learning Deep Embeddings with Histogram Loss.

Evgeniya Ustinova, Victor S. Lempitsky

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learnable Visual Markers.

Oleg Grinchuk, Vadim Lebedev, Victor S. Lempitsky

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 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

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Texture Networks: Feed-forward Synthesis of Textures and Stylized Images.

Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, Victor S. Lempitsky

Proceedings of the 33nd International Conference on Machine Learning, 2016

DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation.

Yaroslav Ganin, Daniil Kononenko, Diana Sungatullina, Victor S. Lempitsky

Proceedings of the Computer Vision - ECCV 2016, 2016

Counting in the Wild.

Carlos Arteta, Victor S. Lempitsky, Andrew Zisserman

Proceedings of the Computer Vision - ECCV 2016, 2016

Efficient Indexing of Billion-Scale Datasets of Deep Descriptors.

Artem Babenko, Victor S. Lempitsky

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Fast ConvNets Using Group-Wise Brain Damage.

Vadim Lebedev, Victor S. Lempitsky

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

The Inverted Multi-Index.

Artem Babenko, Victor S. Lempitsky

IEEE Trans. Pattern Anal. Mach. Intell., 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

Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification.

Evgeniya Ustinova, Yaroslav Ganin, 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

Proceedings of the 3rd International Conference on Learning Representations, 2015

Aggregating Deep Convolutional Features for Image Retrieval.

Artem Babenko, Victor S. Lempitsky

CoRR, 2015

Unsupervised Domain Adaptation by Backpropagation.

Yaroslav Ganin, Victor S. Lempitsky

Proceedings of the 32nd International Conference on Machine Learning, 2015

Aggregating Local Deep Features for Image Retrieval.

Artem Babenko, Victor S. Lempitsky

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A single element 3D ultrasound tomography system.

Xiang Zhang, Jonathan Fincke, Andrey Kuzmin, Victor S. Lempitsky, Brian W. Anthony

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Learning to look up: Realtime monocular gaze correction using machine learning.

Daniil Kononenko, Victor S. Lempitsky

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Tree quantization for large-scale similarity search and classification.

Artem Babenko, Victor S. Lempitsky

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

N⁴-Fields: Neural Network Nearest Neighbor Fields for Image Transforms.

Yaroslav Ganin, Victor S. Lempitsky

CoRR, 2014

Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions.

Artem Babenko, Victor S. Lempitsky

CoRR, 2014

Neural Codes for Image Retrieval.

Artem Babenko, Anton Slesarev, Alexander Chigorin, Victor S. Lempitsky

Proceedings of the Computer Vision - ECCV 2014, 2014

Interactive Object Counting.

Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman

Proceedings of the Computer Vision - ECCV 2014, 2014

Additive Quantization for Extreme Vector Compression.

Artem Babenko, Victor S. Lempitsky

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

N^4 -Fields: Neural Network Nearest Neighbor Fields for Image Transforms.

Yaroslav Ganin, Victor S. Lempitsky

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Guest Editorial: Energy Optimization Methods.

Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt

Int. J. Comput. Vis., 2013

Image Binarization for End-to-End Text Understanding in Natural Images.

Sergey Milyaev, Olga Barinova, Tatiana Novikova, Pushmeet Kohli, Victor S. Lempitsky

Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Symbiotic Segmentation and Part Localization for Fine-Grained Categorization.

Yuning Chai, Victor S. Lempitsky, Andrew Zisserman

Proceedings of the IEEE International Conference on Computer Vision, 2013

Learning to Detect Partially Overlapping Instances.

Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

On Detection of Multiple Object Instances Using Hough Transforms.

Olga Barinova, Victor S. Lempitsky, Pushmeet Kohli

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Branch-and-Mincut: Global Optimization for Image Segmentation with High-Level Priors.

Victor S. Lempitsky, Andrew Blake, Carsten Rother

J. Math. Imaging Vis., 2012

Geometric Image Parsing in Man-Made Environments.

Elena Tretyak, Olga Barinova, Pushmeet Kohli, Victor S. Lempitsky

Int. J. Comput. Vis., 2012

Learning to Detect Cells Using Non-overlapping Extremal Regions.

Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Large-Lexicon Attribute-Consistent Text Recognition in Natural Images.

Tatiana Novikova, Olga Barinova, Pushmeet Kohli, Victor S. Lempitsky

Proceedings of the Computer Vision - ECCV 2012, 2012

TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for Image Classification.

Yuning Chai, Esa Rahtu, Victor S. Lempitsky, Luc Van Gool, Andrew Zisserman

Proceedings of the Computer Vision - ECCV 2012, 2012

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

Pylon Model for Semantic Segmentation.

Victor S. Lempitsky, Andrea Vedaldi, Andrew Zisserman

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Humanising GrabCut: Learning to segment humans using the Kinect.

Varun Gulshan, Victor S. Lempitsky, Andrew Zisserman

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

BiCoS: A Bi-level co-segmentation method for image classification.

Yuning Chai, Victor S. Lempitsky, Andrew Zisserman

Proceedings of the IEEE International Conference on Computer Vision, 2011

The devil is in the details: an evaluation of recent feature encoding methods.

Ken Chatfield, Victor S. Lempitsky, Andrea Vedaldi, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2011

2010

Fusion Moves for Markov Random Field Optimization.

Victor S. Lempitsky, Carsten Rother, Stefan Roth, Andrew Blake

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Learning To Count Objects in Images.

Victor S. Lempitsky, Andrew Zisserman

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Uncertainty Driven Multi-scale Optimization.

Pushmeet Kohli, Victor S. Lempitsky, Carsten Rother

Proceedings of the Pattern Recognition, 2010

Surface extraction from binary volumes with higher-order smoothness.

Victor S. Lempitsky

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Image segmentation with a bounding box prior.

Victor S. Lempitsky, Pushmeet Kohli, Carsten Rother, Toby Sharp

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography.

Victor S. Lempitsky, Michael Verhoek, J. Alison Noble, Andrew Blake

Proceedings of the Functional Imaging and Modeling of the Heart, 2009

Class-specific Hough forests for object detection.

Juergen Gall, Victor S. Lempitsky

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Image Segmentation by Branch-and-Mincut.

Victor S. Lempitsky, Andrew Blake, Carsten Rother

Proceedings of the Computer Vision, 2008

Discrete-Continuous Optimization for Optical Flow Estimation.

Stefan Roth, Victor S. Lempitsky, Carsten Rother

Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

FusionFlow: Discrete-continuous optimization for optical flow estimation.

Victor S. Lempitsky, Stefan Roth, Carsten Rother

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

LogCut - Efficient Graph Cut Optimization for Markov Random Fields.

Victor S. Lempitsky, Carsten Rother, Andrew Blake

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Optimizing Binary MRFs via Extended Roof Duality.

Carsten Rother, Vladimir Kolmogorov, Victor S. Lempitsky, Martin Szummer

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Seamless Mosaicing of Image-Based Texture Maps.

Victor S. Lempitsky, Denis V. Ivanov

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Global Optimization for Shape Fitting.

Victor S. Lempitsky, Yuri Boykov

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Oriented Visibility for Multiview Reconstruction.

Victor S. Lempitsky, Yuri Boykov, Denis V. Ivanov

Proceedings of the Computer Vision, 2006

From Photohulls to Photoflux Optimization.

Yuri Boykov, Victor S. Lempitsky

Proceedings of the British Machine Vision Conference 2006, 2006

2004

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

2002

Modeling with Spatial Patches.

Denis V. Ivanov, Yevgeniy Kuzmin, Victor S. Lempitsky

Proceedings of the 2002 International Conference on Shape Modeling and Applications (SMI 2002), 2002

Texturing Calibrated Head Model from Images.

Victor S. Lempitsky, Denis V. Ivanov, Yevgeniy Kuzmin

Proceedings of the 23rd Annual Conference of the European Association for Computer Graphics, 2002