Publications

Selected publications (with project links)

2017

D. Ulyanov, A. Vedaldi, and V. Lempitsky. Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis, IEEE Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017
Paper

V. Yurchenko and V. Lempitsky. Parsing Images of Overlapping Organisms with Deep Singling-Out Networks, IEEE Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017
Paper

A. Babenko and V. Lempitsky. Product Split Trees, IEEE Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017
Paper

A. Pumarola, A. Vakhitov, A. Agudo, A. Sanfeliu, and F. Moreno-Noguer. PL-SLAM: Real-Time Monocular Visual SLAM with Points and Lines, IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017

2016

O. Grinchuk, V. Lebedev, and V. Lempitsky. Learnable Visual Markers, Advances in Neural Information Processing Systems (NIPS), Barcelona, 2016
arXiv Project Video

E. Ustinova and V. Lempitsky. Learning Deep Embeddings with Histogram Loss, Advances in Neural Information Processing Systems (NIPS), Barcelona, 2016
arXiv Project Video

Y. Ganin, D. Kononenko, D. Sungatullina, and V.Lempitsky. DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation, European Conference on Computer Vision (ECCV), Amsterdam, 2016
arXiv Project

C. Arteta, V. Lempitsky, and A. Zisserman. Counting in The Wild, European Conference on Computer Vision (ECCV), Amsterdam, 2016
Paper

A. Vakhitov, J. Funke, and F. Moreno-Noguer. Accurate Linear Time Pose Estimation from Points and Lines, European Conference on Computer Vision (ECCV), Amsterdam, 2016
Paper

D. Ulyanov, V. Lebedev, A. Vedaldi, and V. Lempitsky. Texture Networks: Feed-forward Synthesis of Textures and Stylized Images, International Conference on Machine Learning (ICML), New York, 2016
arXiv Project

V. Lebedev and V. Lempitsky. Fast ConvNets Using Group-wise Brain Damage., IEEE Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016
arXiv

A. Babenko and V. Lempitsky. Efficient Indexing of Billion-Scale datasets of deep descriptors., IEEE Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016
Paper Code

A. Kuzmin, X. Zhang, J. Fincke, M. Feigin, B. W. Anthony, V. Lempitsky. Fast Low-Cost Single Element Ultrasound Reflectivity Tomography Using Angular Distribution Analysis. IEEE International Symposium on Biomedical Imaging (ISBI), Prague 2016

E. Ustinova, Y. Ganin, and V. Lempitsky. Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification.
arXiv

C. Arteta, V. Lempitsky, A. Noble, and A. Zisserman. Detecting Overlapping Instances in Microscopy Images Using Extremal Region Trees, Medical Image Analysis, Volume 27, pp. 3–16, Jan 2016
Paper

2015

A. Babenko and V. Lempitsky. Aggregating local deep features for image retrieval. IEEE International Conference on Computer Vision (ICCV), Santiago de Chile, 2015
arXiv:1510.07493

Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. Marchand, and V. Lempitsky. Domain-Adversarial Training of Neural Networks. Journal of Machine Learning Research (JMLR), 2015 (accepted) arXiv:1505.07818

A. Kuzmin, A. Zakrzewski, B. Anthony, and V. Lempitsky. Multi-frame Elastography Using Handheld Force-Controlled Ultrasound Probe. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol. 62 (8), pp. 1486-1500, 2015

Y. Ganin and V. Lempitsky. Unsupervised Domain Adaptation by Backpropagation, International Conference on Machine Learning (ICML), Lille, 2015
Paper Code

V. Lebedev, Y. Ganin, M. Rakhuba, I. Oseledets, and V. Lempitsky. Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition, International Conference on Learning Representations (ICLR), conference track, 2015
arXiv:1412.6553

D. Kononenko and V. Lempitsky. Learning To Look Up: Realtime Monocular Gaze Correction Using Machine Learning, IEEE Computer Vision and Pattern Recognition (CVPR), Boston MA, 2015
Paper Project

A. Babenko and V. Lempitsky. Tree Quantization for Large-Scale Similarity Search and Classification, IEEE Computer Vision and Pattern Recognition (CVPR), Boston MA, 2015
Paper Project

A. Babenko and V. Lempitsky. The Inverted Multi-Index, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 37 (6), pp. 1247–1260, 2015.
Paper Code

2014

Y. Ganin and V. Lempitsky. N^4-Fields: Neural Network Nearest Neighbor Fields for Image Transforms, Asian Conference on Computer Vision (ACCV), Singapore, 2014
Paper Project

A. Babenko, A. Slesarev, A. Chigorin and V. Lempitsky. Neural Codes for Image Retrieval, European Conference on Computer Vision (ECCV), Zurich, 2014
Paper Project

C. Arteta, V. Lempitsky, A. Noble, and A. Zisserman. Interactive Object Counting, European Conference on Computer Vision (ECCV), Zurich, 2014
Paper

A. Babenko and V. Lempitsky. Additive Quantization for Extreme Vector Compression, IEEE Computer Vision and Pattern Recognition (CVPR), Columbus OH, 2014
Paper Project

2013 and earlier

Y.Chai, V. Lempitsky, and A. Zisserman. Symbiotic Segmentation and Part Localization for Fine-Grained Categorization, IEEE International Conference on Computer Vision (ICCV), Sydney, 2013
Paper

S. Milyaev, O. Barinova, T. Novikova, P. Kohli and V. Lempitsky. Image binarization for end-to-end text understanding in natural images, International Conference on Document Analysis and Recognition (ICDAR), Washington DC, 2013

C. Arteta, V. Lempitsky, A. Noble, and A. Zisserman. Learning to Detect Partially Overlapping Instances, IEEE Computer Vision and Pattern Recognition (CVPR), Portland OR, 2013
Paper

Y. Chai, E. Rahtu, V. Lempitsky, L. Van Gool, A. Zisserman. TriCoS: A Tri-level Class-Discriminative Co-Segmentation Method for Image Classification, European Conference on Computer Vision (ECCV), Florence, 2012
Paper Project

T. Novikova, O. Barinova, P. Kohli, V. Lempitsky. Large-lexicon Attribute-Consistent Text Recognition in Natural Images, European Conference on Computer Vision (ECCV), Florence, 2012
Paper

C. Arteta, V. Lempitsky, A. Noble, and A. Zisserman. Learning to Detect Cells using Non-overlapping Extremal Regions, Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, 2012
Paper Project

A. Babenko and V. Lempitsky. The Inverted Multi-Index, IEEE Computer Vision and Pattern Recognition (CVPR), Providence RI, 2012
Paper Project

V. Lempitsky, A. Vedaldi, and A. Zisserman. A Pylon Model for Semantic Segmentation, Advances in Neural Information Processing Systems (NIPS), Granada, 2011
Paper Code

Y. Chai, V. Lempitsky, and A. Zisserman. BiCoS: a Bi-level Co-Segmentation Method for Image Classification, International Conference on Computer Vision (ICCV), Barcelona, 2011
Paper Project

K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman. The Devil Is in the Details: an Evaluation of Recent Feature Encoding Methods, British Machine Vsion Conference (BMVC), Dundee, 2011
Paper Project

J. Gall, A. Yao, N. Razavi, L. Van Gool, and V. Lempitsky. Hough Forests for Object Detection, Tracking, and Action Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 33 (11), pp. 2188-2202, 2011
Paper

V. Lempitsky and A. Zisserman. Learning to Count Objects in Images, Advances in Neural Information Processing Systems (NIPS), Vancouver, 2010
Paper Project

E. Tretiak, O. Barinova, P. Kohli, and V. Lempitsky. Geometric Image Parsing in Man-Made Environments, International Journal of Computer Vision (IJCV), vol. 97, No. 3, pp. 305-321, 2012 (conference version: European Conference on Computer Vision (ECCV), Crete, 2010)
Paper Project

O. Barinova, V. Lempitsky, P. Kohli. On the Detection of Multiple Object Instances using Hough Transforms, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 34, No. 9, pp. 1773-1784, 2012 (conference version: IEEE Computer Vision and Pattern Recognition (CVPR), San Francisco, 2010)
Paper Project

V. Lempitsky. Surface Extraction from Binary Volumes with Higher-Order Smoothness, IEEE Computer Vision and Pattern Recognition (CVPR), San Francisco, 2010
Paper Code

V. Lempitsky, C. Rother, S. Roth, and A. Blake. Fusion Moves for Markov Random Field Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 32 (8), pp. 1392-1405, 2010
Paper

V. Lempitsky, P. Kohli, C. Rother, and T. Sharp. Image Segmentation with A Bounding Box Prior, IEEE International Conference on Computer Vision (ICCV), Kyoto, 2009
Paper Tech.report Slides

J. Gall and V. Lempitsky. Class-Specific Hough Forests for Object Detection, IEEE Computer Vision and Pattern Recognition (CVPR), Miami, 2009
Paper Project

V. Lempitsky, M. Verhoek, A. Noble, and A. Blake. Random Forest Classification for Automatic Delineation of Myocardium in Real-time 3D Echocardiography, Functional Imaging and Modelling of the Heart (FIMH), Nice, 2009, best paper award
Paper

V. Lempitsky, A. Blake, and C. Rother. Branch-and-Mincut: Global Optimization for Image Segmentation with High-Level Priors, Journal of Mathematical Imaging and Vision (JMIV), vol.44(3), pp 315-329, 2012 (conference version: European Conference on Computer Vision (ECCV), Marseille, 2008)
Paper Slides Code

V. Lempitsky, S. Roth, and C. Rother. FusionFlow: Discrete-Continuous Optimization for Optical Flow Estimation, IEEE Computer Vision and Pattern Recognition (CVPR), Anchorage, 2008
Paper

V. Lempitsky, C. Rother, and A. Blake. LogCut – Efficient Graph Cut Optimization for Markov Random Fields, IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, 2007
Paper

V. Lempitsky and Y. Boykov. Global Optimization for Shape Fitting, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, 2007
Paper Code

V. Lempitsky and D. Ivanov. Seamless Mosaicing of Image-Based Texture Maps, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, 2007
Paper

C. Rother, V. Kolmogorov, V. Lempitsky, and M. Szummer. Optimizing binary MRFs via extended roof duality, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, 2007
Paper

V. Lempitsky, Y. Boykov, and D. Ivanov. Oriented visibility for Multiview Reconstruction, European Conference on Computer Vision (ECCV), Graz, 2006
Paper