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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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

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Research Output 2009 2019

  • 455 Citations
  • 12 h-Index
  • 37 Conference contribution
  • 8 Article
  • 1 Review article

Spatial knowledge distillation to aid visual reasoning

Aditya, S., Saha, R., Yang, Y. & Baral, C., Mar 4 2019, Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019. Institute of Electrical and Electronics Engineers Inc., p. 227-235 9 p. 8658731. (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019).

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

Distillation
Masks
Students
Neural networks

Active Object Perceiver: Recognition-Guided Policy Learning for Object Searching on Mobile Robots

Ye, X., Lin, Z., Li, H., Zheng, S. & Yang, Y., Dec 27 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018. Institute of Electrical and Electronics Engineers Inc., p. 6857-6863 7 p. 8593720. (IEEE International Conference on Intelligent Robots and Systems).

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

Visual servoing
Object recognition
Reinforcement learning
Mobile robots
Navigation

Combining knowledge and reasoning through probabilistic soft logic for image puzzle solving

Aditya, S., Yang, Y., Baral, C. & Aloimonos, Y., Jan 1 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Globerson, A., Globerson, A. & Silva, R. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), Vol. 1. p. 238-248 11 p.

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

Object detection
Uncertainty
4 Citations (Scopus)

Convolutional neural networks: Ensemble modeling, fine-tuning and unsupervised semantic localization for neurosurgical CLE images

Izadyyazdanabadi, M., Belykh, E., Mooney, M., Martirosyan, N., Eschbacher, J., Nakaji, P., Preul, M. C. & Yang, Y., Jul 1 2018, In : Journal of Visual Communication and Image Representation. 54, p. 10-20 11 p.

Research output: Contribution to journalArticle

Tuning
Semantics
Surgery
Neural networks
Tumors

DeepSIC: Deep semantic image compression

Luo, S., Yang, Y., Yin, Y., Shen, C., Zhao, Y. & Song, M., Jan 1 2018, Neural Information Processing - 25th International Conference, ICONIP 2018, Proceedings. Cheng, L., Leung, A. C. S. & Ozawa, S. (eds.). Springer Verlag, p. 96-106 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11301 LNCS).

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

Image Compression
Image compression
Semantic Analysis
Semantics
Compression

Projects 2017 2023