Mahmudul Hasan

发表

Annotated Video Stream Activity Segmentation Appearance Feature Extraction Context Feature Extraction Learn Baseline Classifier Learn Node and Edge Potentials CA AA Annotated Video Stream Activity Segmentation Appearance Feature Extraction Context Feature Extraction Active Learning Buffer Labeled In

Anastasios I. Mourikis, A. Roy-Chowdhury, S. Paul, 2018 .

Discriminative Reranking based Video Object Retrieval

B. S. Manjunath, Yingying Zhu, Mahmudul Hasan, 2013 .

Inception recurrent convolutional neural network for object recognition

Md. Zahangir Alom, V. Asari, Mahmudul Hasan, 2021, Machine Vision and Applications.

Efficient Movie Scene Detection using State-Space Transformers

Md. Mohaiminul Islam, Mahmudul Hasan, Gedas Bertasius, 2022, ArXiv.

A State-of-the-Art Survey on Deep Learning Theory and Architectures

Chris Yakopcic, Tarek M. Taha, Paheding Sidike, 2019, Electronics.

Recurrent residual U-Net for medical image segmentation

Md Zahangir Alom, Chris Yakopcic, Md. Zahangir Alom, 2019, Journal of medical imaging.

Learning Temporal Regularity in Video Sequences

Jonghyun Choi, Larry S. Davis, Amit K. Roy-Chowdhury, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation pdf

Vijayan K. Asari, Chris Yakopcic, Tarek M. Taha, 2018, ArXiv.

Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks

Vijayan K. Asari, Tarek M. Taha, Paheding Sidike, 2017, Comput. Intell. Neurosci..

Improving Multimodal Accuracy Through Modality Pre-training and Attention pdf

Mahmudul Hasan, Faisal Ishtiaq, Aya Abdelsalam Ismail, 2020, ArXiv.

Context Aware Active Learning of Activity Recognition Models

Amit K. Roy-Chowdhury, Mahmudul Hasan, A. Roy-Chowdhury, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Inception recurrent convolutional neural network for object recognition

Chris Yakopcic, Tarek M. Taha, Md. Zahangir Alom, 2017, Mach. Vis. Appl..

Person Re-Identification with RGB–D and RGB–IR Sensors: A Comprehensive Survey

Fateha Khanam Bappee, Amran Bhuiyan, Mahmudul Hasan, 2023, Sensors.

Improved inception-residual convolutional neural network for object recognition

Vijayan K. Asari, Chris Yakopcic, Tarek M. Taha, 2017, Neural Computing and Applications.

Tensor decomposition based feature extraction and classification to detect natural selection from genomic data

Sandipan Paul Arnab, Michael Degiorgio, Mahmudul Hasan, 2023, bioRxiv.

Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos

Amit K. Roy-Chowdhury, Mahmudul Hasan, Tahmida Mahmud, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Prediction and Description of Near-Future Activities in Video

Amit K. Roy-Chowdhury, Mahmudul Hasan, Tahmida Mahmud, 2019, Comput. Vis. Image Underst..

Captioning Near-Future Activity Sequences pdf

Amit K. Roy-Chowdhury, Mahmudul Hasan, Tahmida Mahmud, 2019, ArXiv.

Ucsb_ucr_vcg Trecvid 2012

B. S. Manjunath, A. Roy-Chowdhury, Yingying Zhu, 2012, TRECVID.

A Continuous Learning Framework for Activity Recognition Using Deep Hybrid Feature Models

Amit K. Roy-Chowdhury, Mahmudul Hasan, A. Roy-Chowdhury, 2015, IEEE Transactions on Multimedia.

A poisson process model for activity forecasting

Amit K. Roy-Chowdhury, Anirban Chakraborty, Mahmudul Hasan, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Continuous Learning of Human Activity Models Using Deep Nets

Amit K. Roy-Chowdhury, Mahmudul Hasan, A. Roy-Chowdhury, 2014, ECCV.

Efficient Movie Scene Detection using State-Space Transformers

Md. Mohaiminul Islam, Mahmudul Hasan, Gedas Bertasius, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Incremental Activity Modeling and Recognition in Streaming Videos

Amit K. Roy-Chowdhury, Mahmudul Hasan, A. Roy-Chowdhury, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.