Samuel Dodge
Samuel Dodge
Clarifai Inc
Verified email at asu.edu
Title
Cited by
Cited by
Year
Understanding how image quality affects deep neural networks
S Dodge, L Karam
2016 eighth international conference on quality of multimedia experience …, 2016
2752016
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
1382017
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
312019
Parsing floor plan images
S Dodge, J Xu, B Stenger
2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017
282017
Unconstrained ear recognition using deep neural networks
S Dodge, J Mounsef, L Karam
IET Biometrics 7 (3), 207-214, 2018
252018
Visual saliency prediction using a mixture of deep neural networks
SF Dodge, LJ Karam
IEEE Transactions on Image Processing 27 (8), 4080-4090, 2018
242018
Quality resilient deep neural networks
S Dodge, L Karam
arXiv preprint arXiv:1703.08119, 2017
182017
Quality robust mixtures of deep neural networks
SF Dodge, LJ Karam
IEEE Transactions on Image Processing 27 (11), 5553-5562, 2018
172018
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
92019
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
92017
The effect of distortions on the prediction of visual attention
MS Gide, SF Dodge, LJ Karam
arXiv preprint arXiv:1604.03882, 2016
32016
Systems, methods, and media for identifying object characteristics based on fixation points
L Karam, S Dodge
US Patent 9,501,710, 2016
22016
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
22016
Attentive gesture recognition
SF Dodge, LJ Karam
2012 19th IEEE International Conference on Image Processing, 177-180, 2012
22012
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
12020
Is Bottom-Up Attention Useful for Scene Recognition?
SF Dodge, LJ Karam
arXiv preprint arXiv:1307.5702, 2013
12013
Tree-based Deep Mixture of Experts with Applications to Visual Saliency Prediction and Quality Robust Visual Recognition
S Dodge
Arizona State University, 2018
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
2014
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Articles 1–18