Nigar Alishzade

As a PhD researcher working on developing deep learning models for Azerbaijani Sign Language recognition, this conference provided me with invaluable insights and opportunities for growth.

I had the privilege of presenting my work titled [Case Study] Transfer Learning with Inflated 3D CNN for Word-Level Recognition for Azerbaijani Sign Language Dataset. Presenting at MVML allowed me to engage with experts in the field and receive constructive feedback on my research.

From talks on neural networks to advancements in human action recognition, I was particularly inspired by the innovative approaches other researchers use to solve complex problems. This exposure to cutting-edge research has provided me with new perspectives to apply to my ongoing work in sign language recognition.

Overall, the MVML 2024 conference has strengthened my resolve to continue contributing to the field of sign language recognition, and I left the conference feeling inspired and motivated to push my research forward.