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Fingerprint Dive into the research topics where Yezhou Yang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Robots Engineering & Materials Science
Semantics Engineering & Materials Science
Human robot interaction Engineering & Materials Science
Robotics Engineering & Materials Science
Experiments Engineering & Materials Science
Neural networks Engineering & Materials Science
Object recognition Engineering & Materials Science
End effectors Engineering & Materials Science

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Research Output 2009 2019

  • 585 Citations
  • 13 h-Index
  • 40 Conference contribution
  • 11 Article
  • 1 Editorial
  • 1 Review article

A survey on semantic-based methods for the understanding of human movements

Ramirez-Amaro, K., Yang, Y. & Cheng, G., Sep 1 2019, In : Robotics and Autonomous Systems. 119, p. 31-50 20 p.

Research output: Contribution to journalArticle

Semantics
Robotics
Robots
Robot
Scalability

Fine-grained visual understanding and reasoning

Yu, J., Yang, Y., Murtagh, F. & Gao, X., Jan 1 2019, (Accepted/In press) In : Neurocomputing.

Research output: Contribution to journalEditorial

How shall i drive? interaction modeling and motion planning towards empathetic and socially-graceful driving

Ren, Y., Elliott, S., Wang, Y., Yang, Y. & Zhang, W., May 1 2019, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 4325-4331 7 p. 8793835. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Motion planning
Model predictive control
Accidents

Integrating knowledge and reasoning in image understanding

Aditya, S., Yang, Y. & Baral, C., Jan 1 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 6252-6259 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image understanding
Object recognition
Semantics
Neural networks
Deep learning

Interpretable partitioned embedding for intelligent multi-item fashion outfit composition

Feng, Z., Yu, Z., Jing, Y., Wu, S., Song, M., Yang, Y. & Jiang, J., Aug 2019, In : ACM Transactions on Multimedia Computing, Communications and Applications. 15, 2s, 61.

Research output: Contribution to journalArticle

Open Access
Chemical analysis
Labels
Deep learning
Industry
Experiments

Projects 2017 2024