Mahmudul Hasan
Mahmudul Hasan
Lead Researcher, Comcast AI, Washington, DC
Verified email at ucr.edu - Homepage
Title
Cited by
Cited by
Year
Learning Temporal Regularity in Video Sequences
M Hasan, J Choi, J Neumann, AK Roy-Chowdhury, LS Davis
Computer Vision and Pattern Recognition (CVPR), 2016
4782016
Recurrent residual U-Net for medical image segmentation
MZ Alom, C Yakopcic, M Hasan, TM Taha, VK Asari
Journal of Medical Imaging 6 (1), 014006, 2019
4542019
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
4542019
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
4472018
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
752015
Context aware active learning of activity recognition models
M Hasan, AK Roy-Chowdhury
International Conference on Computer Vision, 4543-4551, 2015
712015
Continuous learning of human activity models using deep nets
M Hasan, AK Roy-Chowdhury
European conference on computer vision, 705-720, 2014
632014
Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos
T Mahmud, M Hasan, AK Roy-Chowdhury
International Conference on Computer Vision, 2017
582017
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
572020
Incremental activity modeling and recognition in streaming videos
M Hasan, AK Roy-Chowdhury
Computer Vision and Pattern Recognition (CVPR), 796-803, 2014
552014
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
482018
Inception recurrent convolutional neural network for object recognition
MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari
Machine Vision and Applications 32 (1), 1-14, 2021
412021
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
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
242016
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
102018
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
72016
Real time detection and recognition of license plate in Bengali
M Hasan, MH Kabir, MA Ali
eScholarship Technical Report, 2013
32013
Block based image segmentation
MM Hasan, S Sharmeen, MA Rahman, MA Ali, MH Kabir
International Conference on Advances in Communication, Network, and …, 2012
32012
Integrating Geometric, Motion and Appearance Constraints for Robust Tracking in Aerial Videos
M Hasan, A Roy-Chowdhury
22013
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