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Personal profile

Education/Academic qualification

Electrical & Computer Engineering, PhD, University of Illinois at Urbana-Champaign

… → 2001

Electrical Engineering, MS, Tsinghua Univeristy

… → 1997

Electrical Engineering, BE, Huazhong University of Science & Technology

… → 1994

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

Experiments Engineering & Materials Science
Cameras Engineering & Materials Science
Target tracking Engineering & Materials Science
Supervised learning Engineering & Materials Science
Image retrieval Engineering & Materials Science
Color Engineering & Materials Science
Data mining Engineering & Materials Science
Discriminant analysis Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2003 2021

Semantics
Chemical analysis
Decomposition
Uncertainty
Visual communication
Technical presentations
Curricula
Computer vision
Education
Image reconstruction
Target tracking
Image quality
Restoration
Processing
Target tracking
Image reconstruction
Image resolution
Image quality
Restoration

Research Output 1995 2018

Active target tracking: A simplified view aligning method for binocular camera model

Li, X., Su, Y., Liu, Y., Zhai, S. & Wu, Y., Oct 1 2018, In : Computer Vision and Image Understanding. 175, p. 11-23 13 p.

Research output: Contribution to journalArticle

Binoculars
Target tracking
Cameras
Calibration
Monitoring
1 Citation (Scopus)

A Modulation Module for Multi-task Learning with Applications in Image Retrieval

Zhao, X., Li, H., Shen, X., Liang, X. & Wu, Y., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Hebert, M., Ferrari, V., Sminchisescu, C. & Weiss, Y. (eds.). Springer Verlag, p. 415-432 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11205 LNCS).

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

Multi-task Learning
Image retrieval
Image Retrieval
Modulation
Module

Baselines Extraction from Curved Document Images via Slope Fields Recovery

MENG, G., Pan, C., XIANG, S. & Wu, Y., Jan 1 2018, (Accepted/In press) In : IEEE Transactions on Pattern Analysis and Machine Intelligence.

Research output: Contribution to journalArticle

Slope field
Ordinary differential equations
Image quality
Baseline
Recovery
1 Citation (Scopus)

Deeply Learned Compositional Models for Human Pose Estimation

Tang, W., Yu, P. & Wu, Y., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Hebert, M. & Weiss, Y. (eds.). Springer Verlag, p. 197-214 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11207 LNCS).

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

Pose Estimation
State Space
Compositionality
Bottom-up
Bone
3 Citations (Scopus)

Deep Networks for Degraded Document Image Binarization through Pyramid Reconstruction

Meng, G., Yuan, K., Wu, Y., Xiang, S. & Pan, C., Jan 25 2018, Proceedings - 14th IAPR International Conference on Document Analysis and Recognition, ICDAR 2017. IEEE Computer Society, Vol. 1. p. 727-732 6 p.

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

Neural networks
Image recognition
Ink
Image analysis
Labels