| Convolutional gated recurrent networks for video segmentation M Siam, S Valipour, M Jagersand, N Ray 2017 IEEE international conference on image processing (ICIP), 3090-3094, 2017 | 134 | 2017 |
| Recurrent fully convolutional networks for video segmentation S Valipour, M Siam, M Jagersand, N Ray 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 29-36, 2017 | 104 | 2017 |
| Parking-stall vacancy indicator system, based on deep convolutional neural networks S Valipour, M Siam, E Stroulia, M Jagersand 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), 655-660, 2016 | 99 | 2016 |
| A deep level set method for image segmentation M Tang, S Valipour, Z Zhang, D Cobzas, M Jagersand Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 43 | 2017 |
| Incremental learning for robot perception through HRI S Valipour, C Perez, M Jagersand 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 37 | 2017 |
| Convolutional gated recurrent networks for video semantic segmentation in automated driving M Siam, S Valipour, M Jagersand, N Ray, S Yogamani 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 10 | 2017 |
| Deep learning in robotics S Valipour | 8 | 2017 |
| A vision-based automatic hotline tracking approach using unscented Kalman filter S Valipour, H Moradi 2014 Second RSI/ISM International Conference on Robotics and Mechatronics …, 2014 | 6 | 2014 |
| The design and implementation of a hotline tracking UAV S Valipour, H Khandani, H Moradi 2015 3rd RSI International Conference on Robotics and Mechatronics (ICROM …, 2015 | 3 | 2015 |
| Analysis of Unsupervised Feature Learning in Image Segmentation M Siam, M Tang, S Valipour, S Hosseinzadeh, X Qin, Z Zhang | | |
