| Videolstm convolves, attends and flows for action recognition Z Li, K Gavrilyuk, E Gavves, M Jain, CGM Snoek Computer Vision and Image Understanding 166, 41-50, 2018 | 303 | 2018 |
| Online action detection R De Geest, E Gavves, A Ghodrati, Z Li, C Snoek, T Tuytelaars European Conference on Computer Vision, 269-284, 2016 | 105 | 2016 |
| Tracking by natural language specification Z Li, R Tao, E Gavves, CGM Snoek, AWM Smeulders Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 53 | 2017 |
| Actor and action video segmentation from a sentence K Gavrilyuk, A Ghodrati, Z Li, CGM Snoek Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 50 | 2018 |
| MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. CGM Snoek, KEA van de Sande, D Fontijne, AH Habibian, M Jain, ... TRECVID 1 (2), 3, 2013 | 43 | 2013 |
| Attributes make sense on segmented objects Z Li, E Gavves, T Mensink, CGM Snoek European conference on computer vision, 350-365, 2014 | 36 | 2014 |
| Powdered medicine multi-dose administering device H Matsugi, M Dohi, Y Uejima, Y Makino US Patent 6,824,080, 2004 | 27 | 2004 |
| Codemaps-segment, classify and search objects locally Z Li, E Gavves, KEA van de Sande, CGM Snoek, AWM Smeulders Proceedings of the IEEE International Conference on Computer Vision, 2136-2143, 2013 | 24 | 2013 |
| Video analysis with convolutional attention recurrent neural networks LI Zhenyang, E Gavves, J Mihir, CGM Snoek US Patent 9,830,709, 2017 | 21 | 2017 |
| Action localization in sequential data with attention proposals from a recurrent network J Mihir, LI Zhenyang, E Gavves, CGM Snoek US Patent App. 15/250,755, 2017 | 19 | 2017 |
| Music genre classification using temporal information and support vector machine R Tao, Z Li, Y Ji, EM Bakker ASCI Conference 77, 78, 2010 | 19 | 2010 |
| Recurrent networks with motion-based attention for video understanding LI Zhenyang, E Gavves, J Mihir, CGM Snoek US Patent 10,049,279, 2018 | 14 | 2018 |
| The 2012 SESAME Multimedia Event Detection (MED) System. M Akbacak, RC Bolles, JB Burns, M Elliot, A Heller, JA Herson, GK Myers, ... TRECVID, 2012 | 6 | 2012 |
| Deep nets for detecting, combining, and localizing concepts in video C Snoek, D Fonjne, Z Li, K van de Sande, A Smeulders Proc. TRECVID 2014, 2013 | 5 | 2013 |
| Cost-sensitive learning in social image tagging: review, new ideas and evaluation Z Li, MS Lew International Journal of Multimedia Information Retrieval 1 (4), 205-222, 2012 | 4 | 2012 |
| Natural language object tracking LI Zhenyang, R Tao, E Gavves, CGM Snoek, AWM Smeulders US Patent App. 15/587,196, 2018 | 3 | 2018 |
| Mechanism analysis and prevention of overflow-type web page malicious code ZY Li, R Tao, Y Wang, H ZHANG Acta Armamentarii 31 (6), 832-836, 2010 | 3 | 2010 |
| Spatio-temporal action and actor localization K Gavrilyuk, A Ghodrati, LI Zhenyang, CGM Snoek US Patent 10,896,342, 2021 | 1 | 2021 |
| Codemaps: Segment, Classify and Search Objects Locally (Open Access) Z Li, E Gavves, KE van de Sande, CG Snoek, AW Smeulders University of Amsterdam Amsterdam Netherlands, 2013 | | 2013 |
| VideoLSTM Convolves, Attends and Flows for Action Recognition Download PDF Z Li, K Gavrilyuk, E Gavves, M Jain, CGM Snoek | | |
Cees G. M. SnoekProfessor, University of AmsterdamVerified email at uva.nl
