Publications

Selected publications (with project links)

2021

K. Mazur, V. Lempitsky. Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks. CVF/IEEE International Conference on Computer Vision (ICCV), 2021 >
Arxiv (code/project to appear)

I. Zakharkin *, K. Mazur *, A. Grigorev, V. Lempitsky. Point-Based Modeling of Human Clothing. CVF/IEEE International Conference on Computer Vision (ICCV), 2021
Arxiv (code/project to appear)

I. Anokhin, K. Demochkin, T. Khakhulin, G. Sterkin, V. Lempitsky, D. Korzhenkov. Image Generators with Conditionally-Independent Pixel Synthesis. CVF/IEEE Computer Vision and Pattern Recognition (CVPR) oral, 2021
Arxiv Project

A. Grigorev*, K. Iskakov*, A. Ianina, R. Bashirov, I. Zakharkin, A. Vakhitov, V. Lempitsky. StylePeople: A Generative Model of Fullbody Human Avatars. CVF/IEEE Computer Vision and Pattern Recognition (CVPR), 2021
Arxiv Project

R. Bashirov, A. Ianina, K. Iskakov, Ye. Kononenko, V. Strizhkova, V. Lempitsky, A. Vakhitov. Real-time RGBD-based Extended Body Pose Estimation. CVF/IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
Arxiv Project

2020
M. Kolos*, A. Sevastopolsky*, V. Lempitsky. TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer. International Conference on 3D Vision (3DV), 2020
Arxiv Project

E. Zakharov, A. Ivakhnenko, A. Shysheya, V. Lempitsky. Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars. European Conference on Computer Vision (ECCV), 2020
Arxiv Project

A. Aliev, A. Sevastopolsky, M. Kolos, D. Ulyanov, V. Lempitsky. Neural Point-Based Graphics. European Conference on Computer Vision (ECCV), 2020
Arxiv Project

E. Logacheva, R. Suvorov, O. Khomenko, A. Mashikhin, V. Lempitsky. DeepLandscape: Adversarial Modeling of Landscape Videos. European Conference on Computer Vision (ECCV), 2020
Arxiv Project

V. Khrulkov, L. Mirvakhabova, E. Ustinova, I. Oseledets, V. Lempitsky. Hyperbolic Image Embeddings. CVF/IEEE Computer Vision and Pattern Recognition (CVPR) oral, 2020
arXiv Project

V. Kulikov, V. Lempitsky. Instance Segmentation of Biological Images Using Harmonic Embeddings. CVF/IEEE Computer Vision and Pattern Recognition (CVPR) oral, 2020
arXiv Project

I. Anokhin, P. Solovev, D. Korzhenkov, A. Kharlamov, T. Khakhulin, A. Silvestrov, S. Nikolenko, V. Lempitsky, G. Sterkin. High-Resolution Daytime Translation Without Domain Labels. CVF/IEEE Computer Vision and Pattern Recognition (CVPR) oral, 2020
arXiv Project

E. Burkov, I. Pasechnik, A. Grigorev, V. Lempitsky. Neural Head Reenactment with Latent Pose Descriptors. CVF/IEEE Computer Vision and Pattern Recognition (CVPR), 2020
arXiv Project

D. Ulyanov, A. Vedaldi, and V. Lempitsky. Deep Image Prior. International Journal of Computer Vision (IJCV), 2020
arXiv Project

2019

E. Zakharov, A. Shysheya, E. Burkov, V. Lempitsky. Few-Shot Adversarial Learning of Realistic Neural Talking Head Models. CVF/IEEE International Conference on Computer Vision (ICCV) oral, Seoul, 2019
arXiv Youtube

K. Iskakov, E. Burkov, V. Lempitsky, Y. Malkov. Learnable Triangulation of Human Pose. CVF/IEEE International Conference on Computer Vision (ICCV) oral, Seoul, 2019
arXiv Project

V. Kulikov, S.-M. Guo, M. Stone, A. Goodman, A. Carpenter, M. Bathe, V. Lempitsky. DoGNet: A Deep Architecture for Synapse Detection in Multiplexed Fluorescence Images. PLoS Comput Biol 15(5): e1007012
PLoS link

A. Shysheya, E. Zakharov, K.-A. Aliev, R. Bashirov, A. Ivakhnenko, E. Burkov, D. Ulyanov, Yu. Malkov, K. Iskakov, I. Pasechnik, A. Vakhitov, V. Lempitsky. Textured Neural Avatars. CVF/IEEE Computer Vision and Pattern Recognition (CVPR) oral, Long Beach, CA, 2019
arXiv Project

A. Grigorev, A. Sevastopolskiy, A. Vakhitov, V. Lempitsky. Coordinate-based Texture Inpainting for Pose-Guided Image Generation. CVF/IEEE Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019
arXiv Project

A. Vakhitov and V. Lempitsky. Learnable Line Segment Descriptor for Visual SLAM. IEEE Access, vol. 7, pp. 39923 – 39934, Feb. 2019
link pdf

S. Athar, E. Burnaev, and V. Lempitsky. Latent Convolutional Models. International Conference on Learning Representations (ICLR), New Orleans, 2019
arXiv Project

2018

E. Burkov and V. Lempitsky. Deep Neural Networks with Box Convolutions. Advances in Neural Information Processing Systems (NIPS), Montreal, 2018
Paper Project

D. Sungatullina*, E. Zakharov*, D. Ulyanov, and V. Lempitsky. Image Manipulation with Perceptual Discriminators. European Conference on Computer Vision (ECCV), Munich, 2018
Paper Project

A. Vakhitov, V. Lempitsky, and Y. Zheng. Stereo relative pose from line and point feature triplets.European Conference on Computer Vision (ECCV), Munich, 2018
Paper

D. Ulyanov, A. Vedaldi, and V. Lempitsky. Deep Image Prior. IEEE Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018
arXiv Project

E. Liotti, C. Arteta, A. Zisserman, A. Lui, V. Lempitsky, and P. S. Grant. Crystal nucleation in metallic alloys using x-ray radiography and machine learning. Science Advances, Vol. 4, no. 4, April 2018
Link

D. Kononenko, V. Lempitsky. Semi-Supervised Learning for Monocular Gaze Redirection. IEEE Conference on Automatic Face and Gesture Recognition (FG), Xian, China, 2018
Paper

D. Ulyanov, A. Vedaldi, and V. Lempitsky. It Takes (Only) Two: Adversarial Generator-Encoder Networks. AAAI Conference on Artificial Intelligence, New Orleans, 2018
arXiv

D. Kononenko, Y. Ganin, D. Sungatullina, and V. Lempitsky. Photorealistic Monocular Gaze Redirection Using Machine Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 40 (11), pp. 2696 – 2710, Nov. 2018
Paper

A. Vakhitov, A. Kuzmin, and V. Lempitsky. Set2Model Networks: Learning Discriminatively To Learn Generative Models. Computer Vision and Image Understanding (CVIU), Vol. 173, pp. 13-23, Aug. 2018
arXiv

2017

R. Klokov and V. Lempitsky. Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models. IEEE International Conference on Computer Vision (ICCV) spotlight, Venice, 2017
Paper

A. Babenko and V. Lempitsky. AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding. IEEE International Conference on Computer Vision (ICCV), Venice, 2017
Paper

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

E. Ustinova, Y. Ganin, and V. Lempitsky. Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification., IEEE Conference on Advanced Video and Signal-Based Surveillance (AVSS), Lecce, 2017
arXiv

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
Paper

A. Kuzmin, D. Mikushin, and V. Lempitsky. End-to-End learning of cost-volume aggregation for real-time dense stereo., IEEE Workshop on Machine Learning for Signal Processing (MLSP), Tokyo, 2017
arXiv

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

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

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

2012

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