Reference author: Samin Khan

Khan, S. ., Phan, B. T., Salay, R. ., & Czarnecki, K. . (2019). ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. Presented at the. Long Beach, California, USA: IEEE. Retrieved from https://bit.ly/2G3MA1P (Original work published 2019)

Khan, S. . (2019). Towards Synthetic Dataset Generation for Semantic Segmentation Networks. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15128 (Original work published 2019)

Angus, M. ., ElBalkini, M. ., Khan, S. ., Harakeh, A. ., Andrienko, O. ., Reading, C. ., Czarnecki, K. ., & Waslander, S. . (2018). Unlimited Road-scene Synthetic Annotation (URSA) Dataset. Unlimited Road-Scene Synthetic Annotation (URSA) Dataset. Presented at the. Maui, Hawaii, USA: IEEE. Retrieved from https://arxiv.org/abs/1807.06056 (Original work published 2018)

Phan, B. T., Khan, S. ., Salay, R. ., & Czarnecki, K. . (2019). Bayesian Uncertainty Quantification with Synthetic Data. Bayesian Uncertainty Quantification With Synthetic Data. Presented at the. Turku, Finland: SAFECOMP. Retrieved from https://www.waise.org/ (Original work published 2019)