Avirmed Enkhbat

According to our database, Avirmed Enkhbat authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

2023

An Improved Speed Estimation Using Deep Homography Transformation Regression Network on Monocular Videos.

Ervin Yohannes, Chih-Yang Lin, Timothy K. Shih, Tipajin Thaipisutikul, Avirmed Enkhbat, Fitri Utaminingrum

IEEE Access, 2023

Enhancing Single Object Tracking With a Hybrid Approach: Temporal Convolutional Networks, Attention Mechanisms, and Spatial-Temporal Memory.

Pimpa Cheewaprakobkit, Chih-Yang Lin, Timothy K. Shih, Avirmed Enkhbat

IEEE Access, 2023

2022

Exploiting Long- and Short-Term Preferences for Deep Context-Aware Recommendations.

Tipajin Thaipisutikul, Timothy K. Shih, Avirmed Enkhbat, Wisnu Aditya

IEEE Trans. Comput. Soc. Syst., 2022

Beyond fear go viral: A machine learning study on infodemic detection during covid-19 pandemic.

Tipajin Thaipisutikul, Timothy K. Shih, Avirmed Enkhbat, Wisnu Aditya, Huang-Chia Shih, Pattanasak Mongkolwat

Proceedings of the 14th International Conference on Knowledge and Smart Technology, 2022

2021

Domain Adaptation Deep Attention Network for Automatic Logo Detection and Recognition in Google Street View.

Ervin Yohannes, Chih-Yang Lin, Timothy K. Shih, Chen-Ya Hong, Avirmed Enkhbat, Fitri Utaminingrum

IEEE Access, 2021