Mahmudul Hasan

Orcid: 0000-0001-6834-0675

Affiliations:
  • Comcast Labs, Washington, DC, USA
  • University of California at Riverside, CA, USA (former)


According to our database1, Mahmudul Hasan authored at least 23 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Faster, Lighter, More Accurate: A Deep Learning Ensemble for Content Moderation.
CoRR, 2023

Efficient Movie Scene Detection using State-Space Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Inception recurrent convolutional neural network for object recognition.
Mach. Vis. Appl., 2021

Prediction and Description of Near-Future Activities in Video.
Comput. Vis. Image Underst., 2021

The Case for High-Accuracy Classification: Think Small, Think Many!
CoRR, 2021

2020
Context-Aware Query Selection for Active Learning in Event Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Improved inception-residual convolutional neural network for object recognition.
Neural Comput. Appl., 2020

Improving Multimodal Accuracy Through Modality Pre-training and Attention.
CoRR, 2020

2019
Captioning Near-Future Activity Sequences.
CoRR, 2019

2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation.
CoRR, 2018

Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks.
Comput. Intell. Neurosci., 2018

2017
Inception Recurrent Convolutional Neural Network for Object Recognition.
CoRR, 2017

Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Online Activity Understanding and Labeling in Natural Videos.
PhD thesis, 2016

Incremental learning of human activity models from videos.
Comput. Vis. Image Underst., 2016

A poisson process model for activity forecasting.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Learning Temporal Regularity in Video Sequences.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
A Continuous Learning Framework for Activity Recognition Using Deep Hybrid Feature Models.
IEEE Trans. Multim., 2015

Context Aware Active Learning of Activity Recognition Models.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Current-voltage characteristics of CNTFET considering non-ballistic conduction: Effect of dielectric constant.
Proceedings of the 9th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2014

Continuous Learning of Human Activity Models Using Deep Nets.
Proceedings of the Computer Vision - ECCV 2014, 2014

Incremental Activity Modeling and Recognition in Streaming Videos.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012
UCSB_UCR_VCG TRECVID 2012.
Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012


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