| Recurrent residual convolutional neural network based on u-net (r2u-net) for medical image segmentation MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari arXiv preprint arXiv:1802.06955, 2018 | 2157* | 2018 |
| A state-of-the-art survey on deep learning theory and architectures MZ Alom, TM Taha, C Yakopcic, S Westberg, P Sidike, MS Nasrin, ... electronics 8 (3), 292, 2019 | 1792 | 2019 |
| The history began from AlexNet: a comprehensive survey on deep learning approaches MZ Alom, TM Taha, C Yakopcic, S Westberg, P Sidike, MS Nasrin, ... arXiv preprint arXiv:1803.01164v1, 2018 | 1554 | 2018 |
| Learning Temporal Regularity in Video Sequences M Hasan, J Choi, J Neumann, AK Roy-Chowdhury, LS Davis Computer Vision and Pattern Recognition (CVPR), 2016 | 1489 | 2016 |
| Improved inception-residual convolutional neural network for object recognition MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari Neural Computing and Applications 32 (1), 279-293, 2020 | 144 | 2020 |
| Handwritten Bangla Character Recognition Using the State‐of‐the‐Art Deep Convolutional Neural Networks MZ Alom, P Sidike, M Hasan, TM Taha, VK Asari Computational intelligence and neuroscience 2018 (1), 6747098, 2018 | 125 | 2018 |
| Context aware active learning of activity recognition models M Hasan, AK Roy-Chowdhury International Conference on Computer Vision, 4543-4551, 2015 | 120 | 2015 |
| Inception recurrent convolutional neural network for object recognition MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari Machine Vision and Applications 32, 1-14, 2021 | 109 | 2021 |
| A Continuous Learning Framework for Activity Recognition Using Deep Hybrid Feature Models M Hasan, A Roy-Chowdhury IEEE Transactions on Multimedia 17 (11), 1909--1922, 2015 | 107 | 2015 |
| Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos T Mahmud, M Hasan, AK Roy-Chowdhury International Conference on Computer Vision, 2017 | 104 | 2017 |
| Continuous learning of human activity models using deep nets M Hasan, AK Roy-Chowdhury European conference on computer vision, 705-720, 2014 | 76 | 2014 |
| Incremental activity modeling and recognition in streaming videos M Hasan, AK Roy-Chowdhury Computer Vision and Pattern Recognition (CVPR), 796-803, 2014 | 59 | 2014 |
| A poisson process model for activity forecasting T Mahmud, M Hasan, A Chakraborty, AK Roy-Chowdhury 2016 IEEE International Conference on Image Processing (ICIP), 3339-3343, 2016 | 48 | 2016 |
| Efficient movie scene detection using state-space transformers MM Islam, M Hasan, KS Athrey, T Braskich, G Bertasius Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 40 | 2023 |
| Automatic detection and recognition of traffic signs MS Hossain, MM Hasan, MA Ali, MH Kabir, ABMS Ali 2010 IEEE Conference on Robotics, Automation and Mechatronics, 286-291, 2010 | 34 | 2010 |
| Improving multimodal accuracy through modality pre-training and attention AA Ismail, M Hasan, F Ishtiaq arXiv preprint arXiv:2011.06102, 2020 | 23 | 2020 |
| Context-aware query selection for active learning in event recognition M Hasan, S Paul, AI Mourikis, AK Roy-Chowdhury IEEE transactions on pattern analysis and machine intelligence 42 (3), 554-567, 2018 | 19 | 2018 |
| Prediction and description of near-future activities in video T Mahmud, M Billah, M Hasan, AK Roy-Chowdhury Computer Vision and Image Understanding 210, 103230, 2021 | 18 | 2021 |
| An improved pipelined processor architecture eliminating branch and jump penalty MR Hasan, MS Rahman, M Hasan, MM Hasan, MA Ali 2010 Second International Conference on Computer Engineering and …, 2010 | 10 | 2010 |
| Incremental learning of human activity models from videos M Hasan, A Roy-Chowdhury Computer Vision and Image Understanding 144, 24-35, 2016 | 9 | 2016 |
Amit K. Roy-ChowdhuryProfessor and UC Presidential Chair, UC Riverside; Fellow IEEE, IAPRVerified email at ece.ucr.edu
