ai-14/video-captioning-for-arabic-sign-language-recognition-at-sentence-level

An encoder-decoder deep learning model (with/without attention mechanism) where the input is an arabic sign-language video and the output is its translation in text format.

Hi 👋, I am Amaan Izhar

/about-me

• 🎓 I am a Master's of Computer Science student @ University of Malaya / FCSIT.
  • My research is supervised/co-supervised by: Dr. Norisma Idris & Dr. Nurul Japar.
  • Curriculum Vitae.

• 📚 I’m currently preparing my thesis and a journal paper under the field of Artificial Intelligence and Deep Learning in Medical Image Analysis & Radiology Report Generation.
• 👯 I’m looking to collaborate on Machine Learning & Deep Learning projects/papers related to my research interests.
• 💬 I am passionate about research and new-ideas that glue together interdisciplinary fields via Machine Learning & Deep Learning technologies. Furthermore, I am working my way to earn a PhD eventually and contribute significantly towards academic research under AI-ML.
• ⚡ Fun Facts:
  • I like to read technical books.
  • I love to listen raps & violin OSTs.
  • I kill time by watching anime/tv-shows.
  • I like to have conversations about code/computer-science/philosophical topics in general.

/research-interests

• Interdisciplinary Machine Learning & Deep Learning.
• Multimodal Representation/Architectures.
• Natural Language Processing.

/skills

• Programming Languages:

  

• Databases:

  

• AI-ML:

  

• Web:

  

• Miscellaneous:

  

/publications

coming soon...

/contact-me

Let's connect, collaborate, and have a conversation about potential papers/projects related to AI-ML.

video-captioning-for-arabic-sign-language-recognition-at-sentence-level's Issues

Question on dataset and the algorithm used

hello sir, i am very surprise and admire you're work when i see it the repository and i want to try. can you give me the dataset to try out please

if you contact me in private this is my email -------> [email protected]
i wish you replay as much as you can sir