Vadim Lebedev

According to our database, Vadim Lebedev authored at least 10 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Thin-Film-Based SAW Magnetic Field Sensors.

Jana Meyer, Viktor Schell, Jingxiang Su, Simon Fichtner, Erdem Yarar, Florian Niekiel, Thorsten Giese, Anne Kittmann, Lars Thormählen, Vadim Lebedev, Stefan Moench, Agne Zukauskaite, Eckhard Quandt, Fabian Lofink

Sensors, 2021

2020

Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors.

Akhmedkhan Shabanov, Ilya Krotov, Nikolay Chinaev, Vsevolod Poletaev, Sergei Kozlukov, Igor Pasechnik, Bulat Yakupov, Artsiom Sanakoyeu, Vadim Lebedev, Dmitry Ulyanov

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

2019

Precipitation Nowcasting with Satellite Imagery.

Vadim Lebedev, Vladimir Ivashkin, Irina Rudenko, Alexander Ganshin, Alexander Molchanov, Sergey Ovcharenko, Ruslan Grokhovetskiy, Ivan Bushmarinov, Dmitry Solomentsev

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Spatiotemporal Data Fusion for Precipitation Nowcasting.

Vladimir Ivashkin, Vadim Lebedev

CoRR, 2018

Impostor Networks for Fast Fine-Grained Recognition.

Vadim Lebedev, Artem Babenko, Victor S. Lempitsky

CoRR, 2018

2017

Flexural plate wave sensors with buried IDT for sensing in liquids.

Markus Reusch, Katarzyna Hole, Agne Zukauskaite, Vadim Lebedev, Nicolas Kurz, Oliver Ambacher

Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017

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

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

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

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