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Samuel Dodge
Samuel Dodge
Other namesSam Dodge
Apple
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
8942016
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
5012017
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/CVF conference on computer vision and pattern …, 2019
4082019
Parsing floor plan images
S Dodge, J Xu, B Stenger
2017 Fifteenth IAPR international conference on machine vision applications …, 2017
1292017
Unconstrained ear recognition using deep neural networks
S Dodge, J Mounsef, L Karam
IET Biometrics 7 (3), 207-214, 2018
852018
Visual saliency prediction using a mixture of deep neural networks
SF Dodge, LJ Karam
IEEE Transactions on Image Processing 27 (8), 4080-4090, 2018
582018
Quality resilient deep neural networks
S Dodge, L Karam
arXiv preprint arXiv:1703.08119, 2017
532017
Quality robust mixtures of deep neural networks
SF Dodge, LJ Karam
IEEE Transactions on Image Processing 27 (11), 5553-5562, 2018
482018
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
392019
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
192017
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 33 (3), 357-372, 2020
142020
Systems, techniques, and interfaces for obtaining and annotating training instances
M Zeiler, J Rappaport, S Dodge, M Gormish
US Patent 11,030,492, 2021
112021
The effect of distortions on the prediction of visual attention
MS Gide, SF Dodge, LJ Karam
arXiv preprint arXiv:1604.03882, 2016
62016
Systems, methods, and media for identifying object characteristics based on fixation points
L Karam, S Dodge
US Patent 9,501,710, 2016
42016
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
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ...
arXiv preprint arXiv:2403.09611, 2024
12024
Is Bottom-Up Attention Useful for Scene Recognition?
SF Dodge, LJ Karam
arXiv preprint arXiv:1307.5702, 2013
12013
Systems, techniques, and interfaces for obtaining and annotating training instances
M Zeiler, J Rappaport, S Dodge, M Gormish
US Patent App. 17/308,305, 2021
2021
Tree-Based Deep Mixture of Experts with Applications to Visual Saliency Prediction and Quality Robust Visual Recognition
S Dodge
Arizona State University, 2018
2018
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Articles 1–20