Joint prediction of activity labels and starting times in untrimmed videos T Mahmud, M Hasan, AK Roy-Chowdhury Proceedings of the IEEE International conference on Computer Vision, 5773-5782, 2017 | 86 | 2017 |
A poisson process model for activity forecasting T Mahmud, M Hasan, A Chakraborty, AK Roy-Chowdhury IEEE International Conference on Image Processing (ICIP), 3339 - 3343, 2016 | 39 | 2016 |
A novel method to model ECG beats using Gaussian functions MS Billah, TB Mahmud, FS Snigdha, MA Arafat 2011 4th International Conference on Biomedical Engineering and Informatics …, 2011 | 19 | 2011 |
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 | 9 | 2021 |
Captioning near-future activity sequences T Mahmud, M Billah, M Hasan, AK Roy-Chowdhury arXiv preprint arXiv:1908.00943, 2019 | 7 | 2019 |
Multi-view frame reconstruction with conditional gan T Mahmud, M Billah, AK Roy-Chowdhury 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 4 | 2018 |
Vision-Based Human Activity Recognition T Mahmud, M Hasan Contactless Human Activity Analysis, 1-42, 2021 | 1 | 2021 |
Semi-Automatic Segmentation and Ultrasonic Characterization of Solid Breast Lesions MS Billah, TB Mahmud arXiv preprint arXiv:1703.08238, 2017 | 1 | 2017 |
Retrieving and smoothing fundamental waves from noise corrupted ECG beat using gaussian functions MA Arafat, TB Mahmud, MS Billah 2012 7th International Conference on Electrical and Computer Engineering …, 2012 | 1 | 2012 |
Near-future Prediction in Videos: Applications in Video Annotation and Frame Reconstruction TB Mahmud University of California, Riverside, 2019 | | 2019 |
Video C3D features learned by deep network correlate with functional MRI signal variation associated with the video X Chen, J Langley, S Paul, T Mahmud, AK Roy-Chowdhury, A Seitz, ... Proc. Intl. Soc. Mag. Reson. Med 26, 4551, 2018 | | 2018 |