Zeeshan Hayder
Zeeshan Hayder
Australian National University, NICTA/Data61/CSIRO
Email verificata su anu.edu.au - Home page
Titolo
Citata da
Citata da
Anno
Playing for benchmarks
SR Richter, Z Hayder, V Koltun
Proceedings of the IEEE International Conference on Computer Vision, 2213-2222, 2017
2612017
Boundary-aware instance segmentation
Z Hayder, X He, M Salzmann
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1292017
Depth Estimation and Blur Removal from a Single Out-of-focus Image.
S Anwar, Z Hayder, F Porikli
BMVC 1, 2, 2017
222017
Object co-detection via efficient inference in a fully-connected CRF
Z Hayder, M Salzmann, X He
European Conference on Computer Vision, 330-345, 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
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
Deblur and deep depth from single defocus image
S Anwar, Z Hayder, F Porikli
Machine Vision and Applications 32 (1), 1-13, 2021
12021
Deep Structured Models for Large Scale Object Co-detection and Segmentation
Z Hayder
The Australian National University, 2017
2017
Playing for Benchmarks
V Koltun, S Richter, Z Hayder
Boundary-aware Instance Segmentation: Supplementary Material
Z Hayder, X He, M Salzmann
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–10