Victor S. Lempitsky

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Deep Image Prior

Andrea Vedaldi, Dmitry Ulyanov, Victor S. Lempitsky, 2017, International Journal of Computer Vision.

Impostor Networks for Fast Fine-Grained Recognition pdf

Victor S. Lempitsky, Vadim Lebedev, Artem Babenko, 2018, ArXiv.

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

Andrew Zisserman, Andrea Vedaldi, Victor S. Lempitsky, 2011, BMVC.

Image Manipulation with Perceptual Discriminators pdf

Dmitry Ulyanov, Victor S. Lempitsky, Diana Sungatullina, 2018, ECCV.

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

Victor S. Lempitsky, Daniil Kononenko, V. Lempitsky, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Tatiana Novikova, Pushmeet Kohli, Victor S. Lempitsky, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Adversarial Generator-Encoder Networks pdf

Andrea Vedaldi, Dmitry Ulyanov, Victor S. Lempitsky, 2017, ArXiv.

Large-Lexicon Attribute-Consistent Text Recognition in Natural Images

Tatiana Novikova, Pushmeet Kohli, Victor S. Lempitsky, 2012, ECCV.

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

Victor S. Lempitsky, Yaroslav Ganin, V. Lempitsky, 2014, ArXiv.

Aggregating Deep Convolutional Features for Image Retrieval pdf

Victor S. Lempitsky, Artem Babenko, V. Lempitsky, 2015, ArXiv.

Modeling with spatial patches

Victor S. Lempitsky, Denis V. Ivanov, Yevgeniy Kuzmin, 2002, Proceedings SMI. Shape Modeling International 2002.

Hyperbolic Image Embeddings

Valentin Khrulkov, Ivan V. Oseledets, Victor S. Lempitsky, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Humanising GrabCut: Learning to segment humans using the Kinect

Andrew Zisserman, Victor S. Lempitsky, Varun Gulshan, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Creating and Animating Personalized Head Models from Digital Photographs and Video

Victor S. Lempitsky, Denis V. Ivanov, V. G. Zhislina, 2004, Programming and Computer Software.

Unsupervised Domain Adaptation by Backpropagation pdf

Victor S. Lempitsky, Yaroslav Ganin, V. Lempitsky, 2014, ICML.

Motion compensation in a tomographic ultrasound imaging system: Toward volumetric scans of a limb for prosthetic socket design

Xiang Zhang, Brian W. Anthony, Hugh M. Herr, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Geometric Image Parsing in Man-Made Environments

Pushmeet Kohli, Victor S. Lempitsky, Olga Barinova, 2010, International Journal of Computer Vision.

Detecting overlapping instances in microscopy images using extremal region trees

Andrew Zisserman, J. Alison Noble, Carlos Arteta, 2016, Medical Image Anal..

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

Andrew Blake, Carsten Rother, Victor S. Lempitsky, 2012, Journal of Mathematical Imaging and Vision.

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

Andrew Zisserman, Victor S. Lempitsky, Yuning Chai, 2011, 2011 International Conference on Computer Vision.

Image segmentation with a bounding box prior

Toby Sharp, Pushmeet Kohli, Carsten Rother, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Seamless Mosaicing of Image-Based Texture Maps

Victor S. Lempitsky, Denis V. Ivanov, V. Lempitsky, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

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

Victor S. Lempitsky, Roman Klokov, V. Lempitsky, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Instance Segmentation of Biological Images Using Harmonic Embeddings

Victor S. Lempitsky, Victor Kulikov, V. Lempitsky, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Counting in the Wild

Andrew Zisserman, Carlos Arteta, Victor S. Lempitsky, 2016, ECCV.

DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation

Victor S. Lempitsky, Diana Sungatullina, Daniil Kononenko, 2016, ECCV.

Surface extraction from binary volumes with higher-order smoothness

Victor S. Lempitsky, V. Lempitsky, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Deep multi-frame face hallucination for face identification pdf

Victor S. Lempitsky, Evgeniya Ustinova, V. Lempitsky, 2017, ArXiv.

A single element 3D ultrasound tomography system

Xiang Zhang, Brian W. Anthony, Victor S. Lempitsky, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Symbiotic Segmentation and Part Localization for Fine-Grained Categorization

Andrew Zisserman, Victor S. Lempitsky, Yuning Chai, 2013, 2013 IEEE International Conference on Computer Vision.

From Photohulls to Photoflux Optimization

Victor S. Lempitsky, Yuri Boykov, 2006, BMVC.

On Detection of Multiple Object Instances Using Hough Transforms

Pushmeet Kohli, Victor S. Lempitsky, Olga Barinova, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Andrea Vedaldi, Dmitry Ulyanov, Victor S. Lempitsky, 2016, ICML.

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

Wei Wu, Leonidas J. Guibas, Jitendra Malik, 2017, ArXiv.

Tree quantization for large-scale similarity search and classification

Victor S. Lempitsky, Artem Babenko, V. Lempitsky, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Guest Editorial: Energy Optimization Methods

Fredrik Kahl, Victor S. Lempitsky, Yuri Boykov, 2013, International Journal of Computer Vision.

Fast ConvNets Using Group-Wise Brain Damage

Victor S. Lempitsky, Vadim Lebedev, V. Lempitsky, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Victor S. Lempitsky, Alexander Vakhitov, Andrey Kuzmin, 2016, ArXiv.

Pylon Model for Semantic Segmentation

Andrew Zisserman, Andrea Vedaldi, Victor S. Lempitsky, 2011, NIPS.

LogCut - Efficient Graph Cut Optimization for Markov Random Fields

Andrew Blake, Carsten Rother, Victor S. Lempitsky, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Learning To Count Objects in Images

Andrew Zisserman, Victor S. Lempitsky, Andrew Zisserman, 2010, NIPS.

Deep Neural Networks with Box Convolutions

Victor S. Lempitsky, Egor Burkov, V. Lempitsky, 2018, NeurIPS.

Fast and accurate scene text understanding with image binarization and off-the-shelf OCR

Tatiana Novikova, Pushmeet Kohli, Victor S. Lempitsky, 2015, International Journal on Document Analysis and Recognition (IJDAR).

Aggregating Local Deep Features for Image Retrieval

Victor S. Lempitsky, Artem Babenko, V. Lempitsky, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Interactive Object Counting

Andrew Zisserman, J. Alison Noble, Carlos Arteta, 2014, ECCV.

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

Victor S. Lempitsky, Yaroslav Ganin, Evgeniya Ustinova, 2015, 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Instance Normalization: The Missing Ingredient for Fast Stylization pdf

Andrea Vedaldi, Dmitry Ulyanov, Victor S. Lempitsky, 2016, ArXiv.

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

Artem Sevastopolsky, Victor S. Lempitsky, Alexander Vakhitov, 2018, ArXiv.

Learning to Detect Cells Using Non-overlapping Extremal Regions

Andrew Zisserman, J. Alison Noble, Carlos Arteta, 2012, MICCAI.

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

Victor S. Lempitsky, Artem Babenko, V. Lempitsky, 2014, ArXiv.

Instance Segmentation by Deep Coloring pdf

Victor S. Lempitsky, Victor Kulikov, Victor Yurchenko, 2018, ArXiv.

Class-specific Hough forests for object detection

Juergen Gall, Victor S. Lempitsky, Juergen Gall, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Latent Convolutional Models pdf

Victor S. Lempitsky, ShahRukh Athar, Evgeniy Burnaev, 2018, ICLR.

Discrete-Continuous Optimization for Optical Flow Estimation

Carsten Rother, Stefan Roth, Victor S. Lempitsky, 2009, Statistical and Geometrical Approaches to Visual Motion Analysis.

Domain-Adversarial Training of Neural Networks pdf

François Laviolette, Hugo Larochelle, Mario Marchand, 2015, J. Mach. Learn. Res..

Set2Model Networks: Learning Discriminatively To Learn Generative Models

Victor S. Lempitsky, Alexander Vakhitov, Andrey Kuzmin, 2016, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Semi-Supervised Learning for Monocular Gaze Redirection

Victor S. Lempitsky, Daniil Kononenko, V. Lempitsky, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Learning to Detect Partially Overlapping Instances

Andrew Zisserman, J. Alison Noble, Carlos Arteta, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Fast low-cost single element ultrasound reflectivity tomography using angular distribution analysis

Xiang Zhang, Brian W. Anthony, Victor S. Lempitsky, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

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

Andrew Blake, J. Alison Noble, Victor S. Lempitsky, 2009, FIMH.

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

Luc Van Gool, Andrew Zisserman, Esa Rahtu, 2012, ECCV.

CarpetVR: The Magic Carpet Meets the Magic Mirror

Victor S. Lempitsky, Alexander Vakhitov, Andrew Starostin, 2018, 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).

Parsing Images of Overlapping Organisms with Deep Singling-Out Networks

Victor S. Lempitsky, Victor Yurchenko, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Deep Embeddings with Histogram Loss

Victor S. Lempitsky, Evgeniya Ustinova, V. Lempitsky, 2016, NIPS.

Optimizing Binary MRFs via Extended Roof Duality

Vladimir Kolmogorov, Carsten Rother, Martin Szummer, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

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

Andrea Vedaldi, Dmitry Ulyanov, Victor S. Lempitsky, 2017, AAAI.

Product Split Trees

Victor S. Lempitsky, Artem Babenko, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition pdf

Ivan V. Oseledets, Victor S. Lempitsky, Vadim Lebedev, 2014, ICLR.

Texturing Calibrated Head Model from Images

Victor S. Lempitsky, Denis V. Ivanov, Yevgeniy Kuzmin, 2002, Eurographics.

The Inverted Multi-Index

Victor S. Lempitsky, Artem Babenko, V. Lempitsky, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Andrea Vedaldi, Dmitry Ulyanov, Victor S. Lempitsky, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Oriented Visibility for Multiview Reconstruction

Victor S. Lempitsky, Yuri Boykov, Denis V. Ivanov, 2006, ECCV.

Hough Forests for Object Detection, Tracking, and Action Recognition

Luc Van Gool, Juergen Gall, Angela Yao, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Stereo Relative Pose from Line and Point Feature Triplets

Yinqiang Zheng, Victor S. Lempitsky, Alexander Vakhitov, 2018, ECCV.

Uncertainty Driven Multi-scale Optimization

Pushmeet Kohli, Carsten Rother, Victor S. Lempitsky, 2010, DAGM-Symposium.

Efficient Indexing of Billion-Scale Datasets of Deep Descriptors

Victor S. Lempitsky, Artem Babenko, V. Lempitsky, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Set2Model networks: Learning discriminatively to learn generative models

Victor S. Lempitsky, Alexander Vakhitov, Andrey Kuzmin, 2018, Comput. Vis. Image Underst..

Learnable Visual Markers

Victor S. Lempitsky, Vadim Lebedev, Oleg Grinchuk, 2016, NIPS.

Pairwise Quantization pdf

Relja Arandjelovic, Victor S. Lempitsky, Artem Babenko, 2016, ArXiv.

Image Segmentation by Branch-and-Mincut

Andrew Blake, Carsten Rother, Victor S. Lempitsky, 2008, ECCV.

AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding

Victor S. Lempitsky, Artem Babenko, V. Lempitsky, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

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

Victor S. Lempitsky, Andrey Kuzmin, Dmitry Mikushin, 2016, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Neural Codes for Image Retrieval pdf

Victor S. Lempitsky, Artem Babenko, Alexander Chigorin, 2014, ECCV.

FusionFlow: Discrete-continuous optimization for optical flow estimation

Carsten Rother, Stefan Roth, Victor S. Lempitsky, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Fusion Moves for Markov Random Field Optimization

Andrew Blake, Carsten Rother, Stefan Roth, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Global Optimization for Shape Fitting

Victor S. Lempitsky, Yuri Boykov, V. Lempitsky, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

On Detection of Multiple Object Instances Using Hough Transforms

Pushmeet Kohli, Victor S. Lempitsky, Olga Barinova, 2012, IEEE Trans. Pattern Anal. Mach. Intell..