Edwin Weill

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 7

Top Topics

Weakly Supervised

Automotive Industry

Subjective Evaluation

Top Venues

J. Supercomput.

Publications

Ratnesh Kumar, Edwin Weill, Farzin Aghdasi, Parthasarathy Sriram
A Strong and Efficient Baseline for Vehicle Re-Identification Using Deep Triplet Embedding. J. Artif. Intell. Soft Comput. Res. 10 (1) (2020)
Ratnesh Kumar, Edwin Weill, Farzin Aghdasi, Parthasarathy Sriram
Vehicle Re-identification: an Efficient Baseline Using Triplet Embedding. IJCNN (2019)
Ratnesh Kumar, Edwin Weill, Farzin Aghdasi, Parthasarathy Sriram
Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding. CoRR (2019)
André Luckow, Ken Kennedy, Marcin Ziolkowski, Emil Djerekarov, Matthew Cook, Edward B. Duffy, Michael Schleiss, Bennie Vorster, Edwin Weill, Ankit Kulshrestha, Melissa C. Smith
Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing. IEEE BigData (2018)
André Luckow, Matthew Cook, Nathan Ashcraft, Edwin Weill, Emil Djerekarov, Bennie Vorster
Deep Learning in the Automotive Industry: Applications and Tools. CoRR (2017)
André Luckow, Matthew Cook, Nathan Ashcraft, Edwin Weill, Emil Djerekarov, Bennie Vorster
Deep learning in the automotive industry: Applications and tools. IEEE BigData (2016)
Vivek K. Pallipuram, Melissa C. Smith, Nilim Sarma, Ranajeet Anand, Edwin Weill, Karan Sapra
Subjective versus objective: classifying analytical models for productive heterogeneous performance prediction. J. Supercomput. 71 (1) (2015)