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Edwin Weill
Edwin Weill
NVIDIA
Verified email at g.clemson.edu
Title
Cited by
Cited by
Year
Deep learning in the automotive industry: Applications and tools
A Luckow, M Cook, N Ashcraft, E Weill, E Djerekarov, B Vorster
2016 IEEE International Conference on Big Data (Big Data), 3759-3768, 2016
1932016
Vehicle re-identification: an efficient baseline using triplet embedding
R Kuma, E Weill, F Aghdasi, P Sriram
2019 International Joint Conference on Neural Networks (IJCNN), 1-9, 2019
1492019
Artificial intelligence and deep learning applications for automotive manufacturing
A Luckow, K Kennedy, M Ziolkowski, E Djerekarov, M Cook, E Duffy, ...
2018 IEEE International Conference on Big Data (Big Data), 3144-3152, 2018
562018
Training neural networks for vehicle re-identification
FR Kumar, F Aghdasi, P Sriram, E Weill
US Patent 11,455,807, 2022
402022
A strong and efficient baseline for vehicle re-identification using deep triplet embedding
R Kumar, E Weill, F Aghdasi, P Sriram
Journal of Artificial Intelligence and Soft Computing Research 10 (1), 27-45, 2020
242020
Subjective versus objective: classifying analytical models for productive heterogeneous performance prediction
VK Pallipuram, MC Smith, N Sarma, R Anand, E Weill, K Sapra
The Journal of Supercomputing 71, 162-201, 2015
42015
Edge-Computing Deep Learning-Based Computer Vision Systems
E Weill
Clemson University, 2018
22018
Training neural networks for vehicle re-identification
FR Kumar, F Aghdasi, P Sriram, E Weill
US Patent App. 17/890,849, 2022
2022
Scientific application acceleration utilizing heterogeneous architectures
E Weill
Clemson University, 2014
2014
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