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Mahmudul Hasan
Mahmudul Hasan
Principal Researcher, Comcast AI, Washington, DC
Zweryfikowany adres z ucr.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
2262*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
18522019
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
16122018
Learning Temporal Regularity in Video Sequences
M Hasan, J Choi, J Neumann, AK Roy-Chowdhury, LS Davis
Computer Vision and Pattern Recognition (CVPR), 2016
15382016
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
1492020
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
1262018
Context aware active learning of activity recognition models
M Hasan, AK Roy-Chowdhury
International Conference on Computer Vision, 4543-4551, 2015
1232015
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
1132021
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
1072015
Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos
T Mahmud, M Hasan, AK Roy-Chowdhury
International Conference on Computer Vision, 2017
1062017
Continuous learning of human activity models using deep nets
M Hasan, AK Roy-Chowdhury
European conference on computer vision, 705-720, 2014
772014
Incremental activity modeling and recognition in streaming videos
M Hasan, AK Roy-Chowdhury
Computer Vision and Pattern Recognition (CVPR), 796-803, 2014
592014
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
492016
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
482023
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
352010
Improving multimodal accuracy through modality pre-training and attention
AA Ismail, M Hasan, F Ishtiaq
arXiv preprint arXiv:2011.06102, 2020
242020
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
192021
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
192018
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
Incremental learning of human activity models from videos
M Hasan, A Roy-Chowdhury
Computer Vision and Image Understanding 144, 24-35, 2016
92016
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