jvgemert.github.io
Jan van Gemert, Computer vision research in Delft, The NetherlandsJan van Gemert.
http://jvgemert.github.io/
Jan van Gemert.
http://jvgemert.github.io/
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Jan van Gemert, Computer vision research in Delft, The Netherlands | jvgemert.github.io Reviews
https://jvgemert.github.io
Jan van Gemert.
jvgemert.github.io
Jan van Gemert
http://jvgemert.github.io/pub/index.html
My Google Scholar profile. Provides a nice summary including citations. SL Pintea and J.C. van Gemert. Making a Case for Learning Motion Representations with Phase. European Conference on Computer Vision (ECCV) workshop. JFP Kooij and J.C. van Gemert. Depth-Aware Motion Magnification. European Conference on Computer Vision (ECCV). PS Mettes, J.C. van Gemert, C.G.M. Snoek. Spot On: Action Localization from Pointly-Supervised Proposals. European Conference on Computer Vision (ECCV). M Jain, J.C. va...E Gat...
Jan van Gemert
http://jvgemert.github.io/links.html
University of Amsterdam, previous employer. Previously, I held a post-doc position at Ecole Normale Supérieure, Paris, France, with Jean Ponce. I was a visiting researcher at the National Institute of Informatics, Tokyo, Japan, with Prof. Satoh. I interned for half a year at Mitsubishi Electric Research Laboratories, Cambridge, MA, USA.
Jan van Gemert, Computer vision research in Delft, The Netherlands
http://jvgemert.github.io/index.html
Dr Jan van Gemert. Assistant professor Computer Vision. Faculty of Electrical Engineering, Mathematics and Computer Science. Delft University of Technology. Mekelweg 4, 2628 CD, Delft, The Netherlands. Phone: ( 31)(0)15 278 84 34. JCvanGemert at sign TUDelft dot nl. Github: https:/ github.com/jvgemert. About the Technology In Motion (TIM). ArchiMediaL: deep learning and knowledge representations ( academic transfer. Obtained funding from Volkswagen Stiftung. From Knowledge representations @ VU. ECCV 2016...
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Brave new ideas in motion representations
http://bravenewmotion.github.io/index.html
New representations of motion. Brave new ideas for motion representations in videos II. Together with the Computer Vision and Pattern Recognition (CVPR). 2017 This is the second time we organize this workshop following the succesful previous workshop. Description of the workshop and its relevance. Larger datasets are part of the solution. The recently proposed Sports1M helped recently in the realistic training of large motion networks. Still, the breakthrough has not yet arrived. Object and optical flow.
CV | Cees Snoek
http://www.ceessnoek.info/index.php/curriculum-vitae
Research on video and image retrieval. Dr Cees G.M. Snoek. Intelligent Systems Lab Amsterdam. E: cgmsnoek AT uva DOT nl. W: http:/ www.CeesSnoek.info. January 2001 – October 2005. Computer Science, University of Amsterdam. The Authoring Metaphor to Machine Understanding of Multimedia. Advisors: prof. dr. ir. Arnold W.M. Smeulders and dr. Marcel Worring. September 1996 – October 2000. Business Information Systems, University of Amsterdam. Advisor: dr. Jeroen Vendrig. April 2012 – June 2013. August 2010 &#...
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Jan van Gemert, Computer vision research in Delft, The Netherlands
Dr Jan van Gemert. Assistant professor Computer Vision. Faculty of Electrical Engineering, Mathematics and Computer Science. Delft University of Technology. Mekelweg 4, 2628 CD, Delft, The Netherlands. Phone: ( 31)(0)15 278 84 34. JCvanGemert at sign TUDelft dot nl. Github: https:/ github.com/jvgemert. Organizing the Netherlands Conference on Computer Vision ( NCCV'16. Organized ECCV'16 workshop on Brave new ideas for motion representations in video. All the embeddings we used are available. CVPR 2016, "...
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