Pavlo Molchanov
Pavlo Molchanov
Researcher, NVIDIA
Verified email at nvidia.com - Homepage
TitleCited byYear
Pruning convolutional neural networks for resource efficient inference
P Molchanov, S Tyree, T Karras, T Aila, J Kautz
ICLR2017, 2016
342*2016
Hand gesture recognition with 3D convolutional neural networks
P Molchanov, S Gupta, K Kim, J Kautz
Proceedings of the IEEE conference on computer vision and pattern …, 2015
2102015
Online detection and classification of dynamic hand gestures with recurrent 3d convolutional neural network
P Molchanov, X Yang, S Gupta, K Kim, S Tyree, J Kautz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1812016
Multi-sensor system for driver's hand-gesture recognition
P Molchanov, S Gupta, K Kim, K Pulli
2015 11th IEEE international conference and workshops on automatic face and …, 2015
1162015
Classification of small UAVs and birds by micro-Doppler signatures
P Molchanov, RIA Harmanny, JJM de Wit, K Egiazarian, J Astola
International Journal of Microwave and Wireless Technologies 6 (3-4), 435-444, 2014
902014
Short-range FMCW monopulse radar for hand-gesture sensing
P Molchanov, S Gupta, K Kim, K Pulli
2015 IEEE Radar Conference (RadarCon), 1491-1496, 2015
832015
Depth-based 3d hand pose estimation: From current achievements to future goals
S Yuan, G Garcia-Hernando, B Stenger, G Moon, J Yong Chang, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
642018
Multilayer and multimodal fusion of deep neural networks for video classification
X Yang, P Molchanov, J Kautz
Proceedings of the 24th ACM international conference on multimedia, 978-987, 2016
492016
Radar micro-Doppler feature extraction using the singular value decomposition
JJM De Wit, RIA Harmanny, P Molchanov
2014 International Radar Conference, 1-6, 2014
482014
Classification of ground moving radar targets by using joint time-frequency analysis
P Molchanov, J Astola, K Egiazarian, A Totsky
2012 IEEE Radar Conference, 0366-0371, 2012
462012
Classification of aircraft using micro-Doppler bicoherence-based features
P Molchanov, K Egiazarian, J Astola, A Totsky, S Leshchenko, ...
IEEE Transactions on Aerospace and Electronic systems 50 (2), 1455-1467, 2014
362014
Improving landmark localization with semi-supervised learning
S Honari, P Molchanov, S Tyree, P Vincent, C Pal, J Kautz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
352018
Multi-sensor based user interface
P Molchanov, S Gupta, K Kim, K Pulli
US Patent App. 15/060,525, 2017
352017
Radar based user interface
P Molchanov, S Gupta, K Kim, K Pulli
US Patent App. 15/060,545, 2016
352016
Ground moving target classification by using DCT coefficients extracted from micro-Doppler radar signatures and artificial neuron network
P Molchanov, J Astola, K Egiazarian, A Totsky
2011 Microwaves, Radar and Remote Sensing Symposium, 173-176, 2011
292011
The use of automotive radars in video-based overtaking assistance applications
E Belyaev, P Molchanov, A Vinel, Y Koucheryavy
IEEE Transactions on Intelligent Transportation Systems 14 (3), 1035-1042, 2013
272013
Hand Pose Estimation via Latent 2.5 D Heatmap Regression
U Iqbal, P Molchanov, T Breuel, J Gall, J Kautz
ECCV2018, 2018
262018
Range-doppler surface: a tool to analyse human target in ultra-wideband radar
Y He, P Molchanov, T Sakamoto, P Aubry, F Le Chevalier, A Yarovoy
IET Radar, Sonar & Navigation 9 (9), 1240-1250, 2015
262015
Classification of ground moving targets using bicepstrum-based features extracted from micro-Doppler radar signatures
PO Molchanov, JT Astola, KO Egiazarian, AV Totsky
EURASIP Journal on Advances in Signal Processing 2013 (1), 61, 2013
202013
Moving target classification in ground surveillance radar ATR system by using novel bicepstral-based information features
PO Molchanov, JT Astola, KO Egiazarian, AV Totsky
2011 8th European Radar Conference, 194-197, 2011
192011
The system can't perform the operation now. Try again later.
Articles 1–20