Research Output per year
Fingerprint Weighted list of dominant concepts in the researcher's publications (titles and abstracts).
- 2 Similar Profiles
Neural networks
Engineering & Materials Science
3D shape
Mathematics
Liveness
Mathematics
Optimizing Compilers
Mathematics
Protein Interaction Networks
Mathematics
Computer vision
Engineering & Materials Science
Protein-protein Interaction
Mathematics
Glossaries
Engineering & Materials Science
Network
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Research Output 2002 2020
Cross-Safe: A Computer Vision-Based Approach to Make All Intersection-Related Pedestrian Signals Accessible for the Visually Impaired
Li, X., Cui, H., Rizzo, J. R., Wong, E. & Fang, Y., Jan 1 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Arai, K. & Kapoor, S. (eds.). Springer-Verlag, p. 132-146 15 p. (Advances in Intelligent Systems and Computing; vol. 944).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Computer vision
Navigation
Traffic control
Signal detection
Electric power utilization
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN
Lei, Y., Liu, Y., Dong, X., Tian, S., Wang, T., Jiang, X., Higgins, K., Beitler, J. J., Yu, D. S., Liu, T., Curran, W. J., Fang, Y. & Yang, X., Jan 1 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, 1095010. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10950).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
thorax
organs
Thorax
lungs
Organs at Risk
Pairwise Attention Encoding for Point Cloud Feature Learning
Shi, Y., Fang, H., Zhu, J. & Fang, Y., Sep 2019, Proceedings - 2019 International Conference on 3D Vision, 3DV 2019. Institute of Electrical and Electronics Engineers Inc., p. 135-144 10 p. 8885569. (Proceedings - 2019 International Conference on 3D Vision, 3DV 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Point Cloud
Tensors
Pairwise
Encoding
Signature
PC-Net: Unsupervised Point Correspondence Learning with Neural Networks
Li, X., Wang, L. & Fang, Y., Sep 2019, Proceedings - 2019 International Conference on 3D Vision, 3DV 2019. Institute of Electrical and Electronics Engineers Inc., p. 145-154 10 p. 8885653. (Proceedings - 2019 International Conference on 3D Vision, 3DV 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Correspondence
Neural Networks
Neural networks
Point Sets
Point groups
Preface
Bai, X., Fang, Y., Jia, Y., Kan, M., Shan, S., Shen, C., Wang, J., Xia, G. S., Yan, S., Zhang, Z., Nasrollahi, K., Hua, G., Moeslund, T. B. & Ji, Q., Jan 1 2019, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11264 LNCS, p. VResearch output: Contribution to journal › Editorial