Deep learning for visual tracking: A comprehensive survey SM Marvasti-Zadeh, L Cheng, H Ghanei-Yakhdan, S Kasaei IEEE Transactions on Intelligent Transportation Systems, 2021 | 196 | 2021 |
The eighth visual object tracking VOT2020 challenge results M Kristan, J Matas, A Leonardis, M Felsberg Proc. 16th Eur. Conf. Comput. Vis. Workshop, 2020 | 168 | 2020 |
COMET: context-aware IoU-guided network for small object tracking SM Marvasti-Zadeh, J Khaghani, H Ghanei-Yakhdan, S Kasaei, L Cheng Proceedings of the Asian Conference on Computer Vision, 2020 | 15 | 2020 |
VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results H Fan, L Wen, D Du, P Zhu, Q Hu, H Ling, M Shah, B Wang, B Dong, ... European Conference on Computer Vision, 728-749, 2020 | 13 | 2020 |
Rotation-aware discriminative scale space tracking SM Marvasti-Zadeh, H Ghanei-Yakhdan, S Kasaei 2019 27th Iranian Conference on Electrical Engineering (ICEE), 1272-1276, 2019 | 11 | 2019 |
Efficient scale estimation methods using lightweight deep convolutional neural networks for visual tracking SM Marvasti-Zadeh, H Ghanei-Yakhdan, S Kasaei Neural Computing and Applications, 1-16, 2020 | 10 | 2020 |
An efficient adaptive boundary matching algorithm for video error concealment SM Marvasti-Zadeh, H Ghanei-Yakhdan, S Kasaei arXiv preprint arXiv:1610.07386, 2016 | 8 | 2016 |
A novel boundary matching algorithm for video temporal error concealment SM Marvasti-Zadeh, H Ghanei-Yakhdan, S Kasaei arXiv preprint arXiv:1610.07753, 2016 | 6 | 2016 |
A Novel Video Temporal Error Concealment Algorithm based on Moment Invariants Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei 9th Iranian Conference on Machine Vision and Image Processing (MVIP2015), 20-23, 2015 | 6 | 2015 |
Video temporal error concealment using improved directional boundary matching algorithm SM Marvasti-Zadeh, H Ghanei-Yakhdan Turkish Journal of Electrical Engineering and Computer Sciences 24 (6), 5195 …, 2016 | 5 | 2016 |
Dynamic temporal error concealment for video data in error-prone environments SM Marvasti-Zadeh, H Ghanei-Yakhdan, S Kasaei 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP), 43-47, 2013 | 5 | 2013 |
Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking SM Marvasti-Zadeh, H Ghanei-Yakhdan, S Kasaei Multimedia Tools and Applications, 2021 | 4 | 2021 |
Adaptive spatio-temporal context learning for visual target tracking SM Marvasti-Zadeh, H Ghanei-Yakhdan, S Kasaei 2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP …, 2017 | 4 | 2017 |
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search SM Marvasti-Zadeh, J Khaghani, L Cheng, H Ghanei-Yakhdan, S Kasaei 32nd British Machine Vision Conference, 2021 | 3 | 2021 |
Classification of Bark Beetle-Induced Forest Tree Mortality using Deep Learning R Kapil, SM Marvasti-Zadeh, D Goodsman, N Ray, N Erbilgin arXiv preprint arXiv:2207.07241, 2022 | 2 | 2022 |
Effective fusion of deep multitasking representations for robust visual tracking SM Marvasti-Zadeh, H Ghanei-Yakhdan, S Kasaei, K Nasrollahi, ... The Visual Computer, 1-21, 2021 | 2 | 2021 |
Beyond background-aware correlation filters: Adaptive context modeling by hand-crafted and deep RGB features for visual tracking SM Marvasti-Zadeh, H Ghanei-Yakhdan, S Kasaei arXiv preprint arXiv:2004.02932, 2020 | 2 | 2020 |
Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review SM Marvasti-Zadeh, D Goodsman, N Ray, N Erbilgin arXiv preprint arXiv:2210.03829, 2022 | 1 | 2022 |
Crown-CAM: Reliable Visual Explanations for Tree Crown Detection in Aerial Images SM Marvasti-Zadeh, D Goodsman, N Ray, N Erbilgin arXiv preprint arXiv:2211.13126, 2022 | | 2022 |
Learning-based Monocular 3D Reconstruction of Birds: A Contemporary Survey SM Marvasti-Zadeh, MNS Jahromi, J Khaghani, D Goodsman, N Ray, ... arXiv preprint arXiv:2207.04512, 2022 | | 2022 |