Biblio
Filters: Author is Yang, Yezhou [Clear All Filters]
From images to sentences through scene description graphs using commonsense reasoning and knowledge. arXiv preprint arXiv:1511.03292.
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2015.
Fast task-specific target detection via graph based constraints representation and checking. Robotics and Automation (ICRA), 2017 IEEE International Conference on. :3984–3991.
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2017.
Prediction of manipulation actions. International Journal of Computer Vision. :1–17.
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2017.
Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers. European Conference on Computer Vision. :801–815.
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2016.
Co-active learning to adapt humanoid movement for manipulation. Humanoid Robots (Humanoids), 2016 IEEE-RAS 16th International Conference on. :372–378.
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2016.
Deepiu: an architecture for image understanding. Adv Cogn Syst Google Scholar.
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2016.
LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. Proceedings of the 2016 ACM on Multimedia Conference. :1156–1159.
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2016.
What can i do around here? deep functional scene understanding for cognitive robots Robotics and Automation (ICRA), 2017 IEEE International Conference on. :4604–4611.
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2017.
Neural Self Talk: Image Understanding via Continuous Questioning and Answering. arXiv preprint arXiv:1512.03460.
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2015.