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Zeeshan Hayder
Zeeshan Hayder
Australian National University, NICTA/Data61/CSIRO
Verified email at anu.edu.au - Homepage
Title
Cited by
Cited by
Year
Playing for benchmarks
SR Richter, Z Hayder, V Koltun
Proceedings of the IEEE International Conference on Computer Vision, 2213-2222, 2017
3952017
Boundary-aware instance segmentation
Z Hayder, X He, M Salzmann
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1672017
Depth Estimation and Blur Removal from a Single Out-of-focus Image.
S Anwar, Z Hayder, F Porikli
BMVC 1, 2, 2017
362017
Object co-detection via efficient inference in a fully-connected CRF
Z Hayder, M Salzmann, X He
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
212014
Learning to co-generate object proposals with a deep structured network
Z Hayder, X He, M Salzmann
Proceedings of the IEEE conference on computer vision and pattern …, 2016
162016
Deblur and deep depth from single defocus image
S Anwar, Z Hayder, F Porikli
Machine vision and applications 32, 1-13, 2021
122021
Structural kernel learning for large scale multiclass object co-detection
Z Hayder, X He, M Salzmann
2015 IEEE International Conference on Computer Vision (ICCV), 2632-2640, 2015
92015
Deep Structured Models for Large Scale Object Co-detection and Segmentation
Z Hayder
The Australian National University, 2017
12017
Playing for Benchmarks
V Koltun, S Richter, Z Hayder
Boundary-aware Instance Segmentation: Supplementary Material
Z Hayder, X He, M Salzmann
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Articles 1–10