Georgios Stamatiadis

According to our database, Georgios Stamatiadis authored at least 3 papers between 2017 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Material Classification in theWild: Do Synthesized Training Data Generalise Better than Real-world Training Data?

Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

2017

Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data?

Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier

CoRR, 2017

Evaluating Deep Convolutional Neural Networks for Material Classification.

Grigorios Kalliatakis, Georgios Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Anca Sticlaru, Klaus D. McDonald-Maier

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017