UCSB_UCR_VCG TRECVID 2012. - Santhoshkumar Sunderrajan; Mahmudul Hasan 003; Niloufar Pourian; Yingying Zhu 002; B. S. Manjunath; Amit K. Roy-Chowdhury (TRECVID, 2012)

Incremental Activity Modeling and Recognition in Streaming Videos. - Mahmudul Hasan 003; Amit K. Roy-Chowdhury (CVPR, 2014)

Continuous Learning of Human Activity Models Using Deep Nets. - Mahmudul Hasan 003; Amit K. Roy-Chowdhury (ECCV (3), 2014)

Current-voltage characteristics of CNTFET considering non-ballistic conduction: Effect of dielectric constant. - Nirjhor Tahmidur Rouf; Ashfaqul Haq Deep; Rusafa Binte Hassan; Sabbir Ahmed Khan; Mahmudul Hasan 003; Sharif Mohammad Mominuzzaman (NEMS, 2014)

Context Aware Active Learning of Activity Recognition Models. - Mahmudul Hasan 003; Amit K. Roy-Chowdhury (ICCV, 2015)

A Continuous Learning Framework for Activity Recognition Using Deep Hybrid Feature Models. - Mahmudul Hasan 003; Amit K. Roy-Chowdhury (IEEE Trans. Multim., 2015)

Learning Temporal Regularity in Video Sequences. - Mahmudul Hasan 003; Jonghyun Choi; Jan Neumann; Amit K. Roy-Chowdhury; Larry S. Davis (CVPR, 2016)

A poisson process model for activity forecasting. - Tahmida Mahmud; Mahmudul Hasan 003; Anirban Chakraborty 001; Amit K. Roy-Chowdhury (ICIP, 2016)

Incremental learning of human activity models from videos. - Mahmudul Hasan 003; Amit K. Roy-Chowdhury (Comput. Vis. Image Underst., 2016)

Online Activity Understanding and Labeling in Natural Videos. - Mahmudul Hasan 003 (2016)

Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos. - Tahmida Mahmud; Mahmudul Hasan 003; Amit K. Roy-Chowdhury (ICCV, 2017)

Inception Recurrent Convolutional Neural Network for Object Recognition. - Md. Zahangir Alom; Mahmudul Hasan 003; Chris Yakopcic; Tarek M. Taha (CoRR, 2017)

Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks. - Md. Zahangir Alom; Paheding Sidike; Mahmudul Hasan 003; Tarek M. Taha; Vijayan K. Asari (Comput. Intell. Neurosci., 2018)

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation. - Md. Zahangir Alom; Mahmudul Hasan 003; Chris Yakopcic; Tarek M. Taha; Vijayan K. Asari (CoRR, 2018)

Captioning Near-Future Activity Sequences. - Tahmida Mahmud; Mohammad Billah 001; Mahmudul Hasan 003; Amit K. Roy-Chowdhury (CoRR, 2019)

Improving Multimodal Accuracy Through Modality Pre-training and Attention. - Aya Abdelsalam Ismail; Mahmudul Hasan 003; Faisal Ishtiaq (CoRR, 2020)

Improved inception-residual convolutional neural network for object recognition. - Md. Zahangir Alom; Mahmudul Hasan 003; Chris Yakopcic; Tarek M. Taha; Vijayan K. Asari (Neural Comput. Appl., 2020)

Context-Aware Query Selection for Active Learning in Event Recognition. - Mahmudul Hasan 003; Sujoy Paul; Anastasios I. Mourikis; Amit K. Roy-Chowdhury (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

The Case for High-Accuracy Classification: Think Small, Think Many! - Mohammad Hosseini 002; Mahmudul Hasan 003 (CoRR, 2021)

Prediction and Description of Near-Future Activities in Video. - Tahmida Mahmud; Mohammad Billah 001; Mahmudul Hasan 003; Amit K. Roy-Chowdhury (Comput. Vis. Image Underst., 2021)

Inception recurrent convolutional neural network for object recognition. - Md. Zahangir Alom; Mahmudul Hasan 003; Chris Yakopcic; Tarek M. Taha; Vijayan K. Asari (Mach. Vis. Appl., 2021)

Efficient Movie Scene Detection using State-Space Transformers. - Md Mohaiminul Islam; Mahmudul Hasan 003; Kishan Shamsundar Athrey; Tony Braskich; Gedas Bertasius (CVPR, 2023)

Faster, Lighter, More Accurate: A Deep Learning Ensemble for Content Moderation. - Mohammad (Arian) Hosseini; Mahmudul Hasan 003 (CoRR, 2023)

Pedestrian Tracking Using Ankle-Level 2D-LiDAR Based on ByteTrack. - Md Mohibullah; Yuhei Hironaka; Yusuke Suda; Ryota Suzuki 001; Mahmudul Hasan 003; Yoshinori Kobayashi (ISVC (1), 2024)