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Mahmudul Hasan
Mahmudul Hasan
Principal Researcher, Comcast AI, Washington, DC
Verified email at ucr.edu - Homepage
Title
Cited by
Cited by
Year
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
1733*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
15272019
Learning Temporal Regularity in Video Sequences
M Hasan, J Choi, J Neumann, AK Roy-Chowdhury, LS Davis
Computer Vision and Pattern Recognition (CVPR), 2016
12582016
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
12512018
Improved inception-residual convolutional neural network for object recognition
MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari
Neural Computing and Applications 32, 279-293, 2020
1322020
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, 2018
1162018
Context aware active learning of activity recognition models
M Hasan, AK Roy-Chowdhury
International Conference on Computer Vision, 4543-4551, 2015
1082015
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
1052021
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
992015
Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos
T Mahmud, M Hasan, AK Roy-Chowdhury
International Conference on Computer Vision, 2017
982017
Continuous learning of human activity models using deep nets
M Hasan, AK Roy-Chowdhury
European conference on computer vision, 705-720, 2014
732014
Incremental activity modeling and recognition in streaming videos
M Hasan, AK Roy-Chowdhury
Computer Vision and Pattern Recognition (CVPR), 796-803, 2014
582014
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
452016
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
332010
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
162018
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
152021
Improving multimodal accuracy through modality pre-training and attention
AA Ismail, M Hasan, F Ishtiaq
arXiv preprint arXiv:2011.06102, 2020
152020
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
102023
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
102010
Captioning near-future activity sequences
T Mahmud, M Billah, M Hasan, AK Roy-Chowdhury
arXiv preprint arXiv:1908.00943, 2019
82019
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Articles 1–20