Publications

On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis – Foulds, James; Geumlek, Joseph; Welling, Max; Chaudhuri, Kamalika – ArXive, 2016
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VideoLSTM Convolves, Attends and Flows for Action Recognition – Li, Zhenyang; Gavves, Efstratios; Jain, Mihir; Snoek, Cees – ArXive, 2016
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Deep Spiking Networks – O'Connor, Peter; Welling, Max – ArXive, 2016
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Practical Privacy For Expectation Maximization – Park, Mijung; Foulds, Jimmy; Chaudhuri, Kamalika; Welling, Max – ArXiv, 2016
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Rank Pooling for Action Recognition – Fernando, Basura; Gavves, Efstratios; Oramas, Jose; Ghodrati, Amir; Tuytelaars, Tinne – IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
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Online Action Detection – Geest, Roeland De; Gavves, Efstratios; Ghodrati, Amir; Li, Zhenyang; Snoek, Cees; Tuytelaars, Tinne – ECCV, 2016
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Spot On: Action Localization from Pointly-Supervised Proposals – Mettes, Pascal; van Gemert, Jan; Snoek, Cees – ECCV, 2016
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Video Stream Retrieval of Unseen Queries using Semantic Memory – Cappallo, Spencer; Mensink, Thomas; Snoek, Cees – BMVC, 2016
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Dynamic Image Networks for Action Recognition – Bilen, Hakan; Fernando, Basura; Gavves, Efstratios; Vedaldi, Andrea; Gould, Stephen – IEEE Conference on Computer Vision and Pattern Recognition, 2016
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Structured Receptive Fields in CNNs – Jacobsen, Joern-Henrik; van Gemert, Jan; Lou, Zhongyu; Smeulders, Arnold – IEEE Conference on Computer Vision and Pattern Recognition, 2016
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Deep Reflectance Maps – Rematas, Konstantinos; Ritschel, Tobias; Fritz, Mario; Gavves, Efstratios; Tuytelaars, Tinne – IEEE Conference on Computer Vision and Pattern Recognition, 2016
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Siamese Instance Search for Tracking – Tao, Ran; Gavves, Efstratios; Smeulders, Arnold – IEEE Conference on Computer Vision and Pattern Recognition, 2016
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A note on privacy preserving iteratively reweighted least squares – Park, Mijung; Welling, Max – ICML workshops, 2016
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Learning-to-rank based on subsequences – Fernando, Basura; Gavves, Efstratios; Muselet, Damien; Tuytelaars, Tinne – ICCV, 2015
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Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks – Gavves, Efstratios; Mensink, Thomas; Tommasi, Tatiana; Snoek, Cees; Tuytelaars, Tinne – ICCV, 2015
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Objects2action: Classifying and localizing actions without any video example – Jain, Mihir; van Gemert, Jan; Mensink, Thomas; Snoek, Cees – ICCV, 2015
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APT: Action localization proposals from dense trajectories – van Gemert, Jan; Jain, Mihir; Gati, Ella; Snoek, Cees – BMVC, 2015
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Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams – Nagel, Markus; Mensink, Thomas; Snoek, Cees – BMVC, 2015
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What do 15,000 object categories tell us about classifying and localizing actions? – Jain, Mihir; van Gemert, Jan; Snoek, Cees – IEEE Conference on Computer Vision and Pattern Recognition, 2015
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Attributes and Categories for Generic Instance Search from One Example – Tao, Ran; Smeulders, Arnold; Chang, Shih-Fu – IEEE Conference on Computer Vision and Pattern Recognition, 2015
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Local Alignments for Fine-Grained Categorization – Gavves, Efstratios; Fernando, Basura; Snoek, Cees; Smeulders, Arnold; Tuytelaars, Tinne – International Journal of Computer Vision, 111 (2), pp. 191–212, 2015
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Convolutional Neural Networks in the Brain: an fMRI study – Ramakrishnan,; Scholte,; Lamme,; Smeulders,; Ghebreab, – Journal of Vision, 2015
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