bravenewmotion.github.io

Brave new ideas in motion representations

New representations of motion. Brave new ideas for motion representations in videos. Together with the European Conference on Computer Vision (ECCV). Big thank to everyone who attended the very successful 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. Calling papers for brave new ideas. Object and optical flow.

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New representations of motion. Brave new ideas for motion representations in videos. Together with the European Conference on Computer Vision (ECCV). Big thank to everyone who attended the very successful 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. Calling papers for brave new ideas. Object and optical flow.

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Brave new ideas in motion representations | bravenewmotion.github.io Reviews

https://bravenewmotion.github.io

New representations of motion. Brave new ideas for motion representations in videos. Together with the European Conference on Computer Vision (ECCV). Big thank to everyone who attended the very successful 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. Calling papers for brave new ideas. Object and optical flow.

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Brave new ideas in motion representations

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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.

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jvgemert.github.io

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

New representations of motion. Brave new ideas for motion representations in videos. Together with the European Conference on Computer Vision (ECCV). Big thank to everyone who attended the very successful 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. Calling papers for brave new ideas. Object and optical flow.

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