关注
Ibrahim Ben Daya
Ibrahim Ben Daya
Sr. Machine Learning Specialist at General Motors CTC
在 uwaterloo.ca 的电子邮件经过验证
标题
引用次数
引用次数
年份
Squeeze-and-attention networks for semantic segmentation
Z Zhong, ZQ Lin, R Bidart, X Hu, IB Daya, Z Li, WS Zheng, J Li, A Wong
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2892020
Taking a stance on fake news: Towards automatic disinformation assessment via deep bidirectional transformer language models for stance detection
C Dulhanty, JL Deglint, IB Daya, A Wong
arXiv preprint arXiv:1911.11951, 2019
322019
Compensated row-column ultrasound imaging system using multilayered edge guided stochastically fully connected random fields
I Ben Daya, AIH Chen, MJ Shafiee, A Wong, JTW Yeow
Scientific reports 7 (1), 10644, 2017
122017
Compensated row-column ultrasound imaging system using fisher tippett multilayered conditional random field model
I Ben Daya, AIH Chen, MJ Shafiee, A Wong, JTW Yeow
PloS one 10 (12), e0142817, 2015
102015
Spatio-temporal saliency detection using abstracted fully-connected graphical models
AH Karimi, MJ Shafiee, C Scharfenberger, I BenDaya, S Haider, ...
2016 IEEE International Conference on Image Processing (ICIP), 694-698, 2016
62016
Text enhancement in projected imagery
X Hu, MA Naiel, Z Azimifar, IB Daya, M Lamm, P Fieguth
Journal of Computational Vision and Imaging Systems 4 (1), 3-3, 2018
32018
Multi-projector resolution enhancement through biased interpolation
A Hryniowski, IB Daya, A Gawish, M Lamm, A Wong, P Fieguth
2018 15th Conference on Computer and Robot Vision (CRV), 190-197, 2018
32018
Beyond explainability: Leveraging interpretability for improved adversarial learning
D Kumarl Ibrahim Ben Daya, K Vats, J Feng, G Taylor, A Wong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
22019
On Robustness of deep neural networks: a comprehensive study on the effect of architecture and weight initialization to susceptibility and transferability of adversarial attacks
IB Daya, MJ Shaifee, M Karg, C Scharfenderger, A Wong
Journal of Computational Vision and Imaging Systems 4 (1), 3-3, 2018
22018
Return of grid seams: A superpixel algorithm using discontinuous multi-functional energy seam carving
P Siva, C Scharfenberger, IB Daya, A Mishra, A Wong
2015 IEEE International Conference on Image Processing (ICIP), 1334-1338, 2015
22015
Systematic Characterization Framework of Row-Column Ultrasound Imaging Systems
I Ben Daya
University of Waterloo, 2015
22015
Non-stationary content-adaptive projector resolution enhancement
X Hu, MA Naiel, Z Azimifar, IB Daya, M Lamm, P Fieguth
Signal Processing: Image Communication 97, 116348, 2021
12021
Device, system and method for enhancing one or more of high contrast regions and text regions in projected images
HU Xiaodan, MA Naiel, Z Azimifar, IB Daya, M Lamm, P Fieguth
US Patent 11,109,005, 2021
12021
Compensated Row-Column Ultrasound Imaging Systems with Data-Driven Point Spread Function Learning
IB Daya, JTW Yeow, A Wong
Image Analysis and Recognition: 16th International Conference, ICIAR 2019 …, 2019
12019
Compensated Row-Column Ultrasound Imaging System Using Edge-Guided Three Dimensional Random Fields
IB Daya, AIH Chen, MJ Shafiee, JTW Yeow, A Wong
Journal of Computational Vision and Imaging Systems 3 (1), 2017
12017
Quantifying microstructural damage accumulation in the annulus fibrosus during induced intervertebral disc herniation
M Noguchi, A Wong, IB Daya, TL Campbell, J Quadrilatero, JP Callaghan
American Society of Biomechanics, 2015
12015
Compensated Row-Column Ultrasound Imaging System
I Ben Daya
University of Waterloo, 2020
2020
SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles
IB Daya, MJ Shafiee, M Karg, C Scharfenberger, A Wong
2019
SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles
IB Daya, MJ Shafiee, M Karg, C Scharfenberger, A Wong
2019
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning
D Kumar, I Ben-Daya, K Vats, J Feng, G Taylor, A Wong
arXiv preprint arXiv:1904.09633, 2019
2019
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