Tahmida Mahmud
Tahmida Mahmud
Nauto, Inc.
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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
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
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
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
Captioning near-future activity sequences
T Mahmud, M Billah, M Hasan, AK Roy-Chowdhury
arXiv preprint arXiv:1908.00943, 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
Vision-Based Human Activity Recognition
T Mahmud, M Hasan
Contactless Human Activity Analysis, 1-42, 2021
Semi-Automatic Segmentation and Ultrasonic Characterization of Solid Breast Lesions
MS Billah, TB Mahmud
arXiv preprint arXiv:1703.08238, 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
Near-future Prediction in Videos: Applications in Video Annotation and Frame Reconstruction
TB Mahmud
University of California, Riverside, 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
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