Al Amin Hosain

Address: George Mason University
Room: ENGR 4416, Data Mining Lab
4400 University Drive MSN 4A5 Fairfax, VA 22030 USA
Email: ahosain AT gmu DOT edu

I am a PhD candidate in Computer Science at George Mason University. I am working under the supervision of Prof. Jana Kosecka and Prof. Huzefa Rangwala. My research focus is application of deep learning based methods in video understanding. More specifically, I work towards applying machine learning techniques for spatial and temporal modeling of video data. For past couple of years, I have been extensively working on Sign Language Analysis from videos. This includes building large scale datasets and developing novel machine learning models in the context of American Sign Language (ASL) recognition.

Actively looking for Machine Learning Engineering roles. [Resume] [Github Link]

Recent News:


Publications:


Hand Pose Guided 3D Pooling for Word-level Sign Language Recognition.
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Huzefa Rangwala and Jana Kosecka
IEEE Winter Conference on Applications of Computer Vision (WACV), 2021, Waikoloa, Hawaii, USA (Virtual)
[Code]

FineHand: Learning Hand Shapes for American Sign Language Recognition.
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Huzefa Rangwala and Jana Kosecka
15th IEEE Conference of Face and Gesture Recognition (FaGEW Workshop), 2020, Buenos Aires, Argentina (Virtual)
[Paper]

Body Pose and Deep Hand-shape Feature Based American Sign Language Recognition.
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Jana Kosecka and Huzefa Rangwala
7th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2020, Sydney, Australia (Virtual)

Sign Language Recognition Analysis using Multimodal Data.
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Jana Kosecka and Huzefa Rangwala
6th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019, Washington D.C., USA
[Paper]