| Pruning convolutional neural networks for resource efficient inference P Molchanov, S Tyree, T Karras, T Aila, J Kautz ICLR2017, 2016 | 881 | 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 | 369 | 2015 |
| 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 | 324 | 2016 |
| 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 | 179 | 2015 |
| Classification of small UAVs and birds by micro-Doppler signatures P Molchanov, K Egiazarian, J Astola, RIA Harmanny, JJM De Wit 2013 European Radar Conference, 172-175, 2013 | 164 | 2013 |
| 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 | 139 | 2018 |
| 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 | 132 | 2015 |
| Hand Pose Estimation via Latent 2.5 D Heatmap Regression U Iqbal, P Molchanov, T Breuel, J Gall, J Kautz ECCV2018, 2018 | 111 | 2018 |
| Importance estimation for neural network pruning P Molchanov, A Mallya, S Tyree, I Frosio, J Kautz Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 106 | 2019 |
| 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 | 89 | 2018 |
| Radar micro-Doppler feature extraction using the singular value decomposition JJM De Wit, RIA Harmanny, P Molchanov 2014 International Radar Conference, 1-6, 2014 | 77 | 2014 |
| 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 | 75 | 2016 |
| Multi-sensor based user interface P Molchanov, S Gupta, K Kim, K Pulli US Patent 10,168,785, 2019 | 63* | 2019 |
| 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 | 52 | 2012 |
| 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 | 43 | 2014 |
| 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 | 41 | 2015 |
| 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 | 39 | 2011 |
| 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 | 35 | 2013 |
| Dreaming to distill: Data-free knowledge transfer via DeepInversion H Yin, P Molchanov, JM Alvarez, Z Li, A Mallya, D Hoiem, NK Jha, J Kautz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 33 | 2020 |
| A lightweight approach for on-the-fly reflectance estimation K Kim, J Gu, S Tyree, P Molchanov, M Nießner, J Kautz Proceedings of the IEEE International Conference on Computer Vision, 20-28, 2017 | 29 | 2017 |
Jan KautzVice President of Research, NVIDIA ResearchEmail verificata su nvidia.com
