Deep Learning for Assistive Computer Vision

Author:

Leo Marco,Furnari Antonino,Medioni Gerard G.,Trivedi Mohan,Farinella Giovanni M.

Publisher

Springer International Publishing

Reference53 articles.

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2. Abu Farha, Y., Richard, A., Gall, J.: When will you do what?-anticipating temporal occurrences of activities. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5343–5352 (2018)

3. Andriluka, M., et al.: PoseTrack: a benchmark for human pose estimation and tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5167–5176 (2018)

4. Battaglia, P., Pascanu, R., Lai, M., Rezende, D.J., et al.: Interaction networks for learning about objects, relations and physics. In: Advances in Neural Information Processing Systems, pp. 4502–4510 (2016)

5. Brust, C.A., Sickert, S., Simon, M., Rodner, E., Denzler, J.: Efficient convolutional patch networks for scene understanding. In: International Conference on Computer Vision Theory and Applications (VISAPP) (2015)

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