Konstantin Sozykin

Graduated from:  Kazan national research technological university (specialist degree),  Innopolis University (additional degree)

Research interests: Deep Learning and Artificial Intelligence

Thesis title: Tensor Networks for Multimodal Data Fusion, Deep Learning and Source Separation

Publications:

• A. Buyval, A. Gabdullin, K. Sozykin and A. Klimchik, “Model Predictive Path Integral Control for Car Driving with Autogenerated Cost map Based on Prior Map and Camera Image,” 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 2109-2114.doi: 10.1109/ITSC.2019.8917227
• K. Sozykin, S. Protasov, A. Khan, R. Hussain and J. Lee, “Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D Convolutional Neural Networks,” 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), Busan, 2018, pp. 146-151.doi: 10.1109/SNPD.2018.8441034
• Protasov, Stanislav, Adil Mehmood Khan, Konstantin Sozykin and Muhammad Ahmad. “Using deep features for video scene detection and annotation.” Signal, Image and Video Processing 12 (2018): 991-999. doi: https://doi.org/10.1007/s11760-018-1244-6