Edwin Weill

According to our database, Edwin Weill authored at least 5 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

A Strong and Efficient Baseline for Vehicle Re-Identification Using Deep Triplet Embedding.

Ratnesh Kumar, Edwin Weill, Farzin Aghdasi, Parthasarathy Sriram

J. Artif. Intell. Soft Comput. Res., 2020

2019

Vehicle Re-identification: an Efficient Baseline Using Triplet Embedding.

Ratnesh Kumar, Edwin Weill, Farzin Aghdasi, Parthasarathy Sriram

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing.

André Luckow, Ken Kennedy, Marcin Ziolkowski, Emil Djerekarov, Matthew Cook, Edward B. Duffy, Michael Schleiss, Bennie Vorster, Edwin Weill, Ankit Kulshrestha, Melissa C. Smith

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

Deep learning in the automotive industry: Applications and tools.

André Luckow, Matthew Cook, Nathan Ashcraft, Edwin Weill, Emil Djerekarov, Bennie Vorster

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Subjective versus objective: classifying analytical models for productive heterogeneous performance prediction.

Vivek K. Pallipuram, Melissa C. Smith, Nilim Sarma, Ranajeet Anand, Edwin Weill, Karan Sapra

J. Supercomput., 2015