Samuel Dodge
Samuel Dodge
Clarifai Inc
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Cited by
Cited by
Understanding how image quality affects deep neural networks
S Dodge, L Karam
2016 eighth international conference on quality of multimedia experience …, 2016
A study and comparison of human and deep learning recognition performance under visual distortions
S Dodge, L Karam
2017 26th international conference on computer communication and networks …, 2017
Finding task-relevant features for few-shot learning by category traversal
H Li, D Eigen, S Dodge, M Zeiler, X Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Parsing floor plan images
S Dodge, J Xu, B Stenger
2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017
Unconstrained ear recognition using deep neural networks
S Dodge, J Mounsef, L Karam
IET Biometrics 7 (3), 207-214, 2018
Visual saliency prediction using a mixture of deep neural networks
SF Dodge, LJ Karam
IEEE Transactions on Image Processing 27 (8), 4080-4090, 2018
Quality resilient deep neural networks
S Dodge, L Karam
arXiv preprint arXiv:1703.08119, 2017
Quality robust mixtures of deep neural networks
SF Dodge, LJ Karam
IEEE Transactions on Image Processing 27 (11), 5553-5562, 2018
Human and DNN classification performance on images with quality distortions: A comparative study
S Dodge, L Karam
ACM Transactions on Applied Perception (TAP) 16 (2), 1-17, 2019
Can the early human visual system compete with deep neural networks?
S Dodge, L Karam
Proceedings of the IEEE International Conference on Computer Vision …, 2017
The effect of distortions on the prediction of visual attention
MS Gide, SF Dodge, LJ Karam
arXiv preprint arXiv:1604.03882, 2016
Systems, methods, and media for identifying object characteristics based on fixation points
L Karam, S Dodge
US Patent 9,501,710, 2016
Visual attention quality database for benchmarking performance evaluation metrics
MS Gide, SF Dodge, LJ Karam
2016 IEEE International Conference on Image Processing (ICIP), 2792-2796, 2016
Attentive gesture recognition
SF Dodge, LJ Karam
2012 19th IEEE International Conference on Image Processing, 177-180, 2012
Locally Adaptive Statistical Background Modeling with Deep Learning based False Positive Rejection for Defect Detection in Semiconductor Units
BM Haddad, SF Dodge, LJ Karam, NS Patel, MW Braun
IEEE Transactions on Semiconductor Manufacturing, 2020
Is Bottom-Up Attention Useful for Scene Recognition?
SF Dodge, LJ Karam
arXiv preprint arXiv:1307.5702, 2013
Tree-based Deep Mixture of Experts with Applications to Visual Saliency Prediction and Quality Robust Visual Recognition
S Dodge
Arizona State University, 2018
An evaluation of attention models for use in SLAM
S Dodge, L Karam
Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques 9025 …, 2014
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