| 2022 | IJCAI | Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey. | Izzeddin Teeti, Salman Khan, Ajmal Shahbaz, Andrew Bradley, Fabio Cuzzolin |
| 2019 | IECON | Deep Residual Networks with Pyramid Depthwise Separable Convolution. | Van-Thanh Hoang, Ajmal Shahbaz, Kang-Hyun Jo |
| 2019 | IECON | Convolutional Neural Network based Foreground Segmentation for Video Surveillance Systems. | Ajmal Shahbaz, Van-Thanh Hoang, Kang-Hyun Jo |
| 2017 | ACIIDS | Recent Advances in the Field of Foreground Detection: An Overview. | Ajmal Shahbaz, Laksono Kurnianggoro, Wahyono, Kang-Hyun Jo |
| 2017 | HSI | Lane marking detection using image features and line fitting model. | Danilo Cceres Hernndez, Alexander Filonenko, Ajmal Shahbaz, Kang-Hyun Jo |
| 2017 | HSI | Sterile zone monitoring with human verification. | Ajmal Shahbaz, Wahyono, Kang-Hyun Jo |
| 2017 | IECON | Optimal background modeling for cluttered scenes. | Ajmal Shahbaz, Kang-Hyun Jo |
| 2016 | IECON | Estimation of collision risk for improving driver's safety. | Joko Hariyono, Ajmal Shahbaz, Laksono Kurnianggoro, Kang-Hyun Jo |
| 2016 | IECON | Coarse-to-fine approach for fast correlation-based visual tracking. | Laksono Kurnianggoro, Dong-Wook Seo, Joko Hariyono, Ajmal Shahbaz, Kang-Hyun Jo |
| 2016 | IECON | Parameter analysis of probabilistic foreground detector for intelligent surveillance system. | Ajmal Shahbaz, Laksono Kurnianggoro, Joko Hariyono, Kang-Hyun Jo |