AI and Computer Vision play a vital role in various domains from healthcare to entertainment.
Speaker
Md Azher Uddin, Assistant Professor, Heriot-Watt University Dubai, United Arab Emirates
Agenda
6:30pm - Event starts
8:30pm - Event closes
Timings are listed for GST.
Synopsis
AI and Computer Vision play a vital role in various domains from healthcare to entertainment. In today's talk, first, I would like to introduce AI and Computer vision, later on, I will discuss how we can automatically estimate the depression severity using these techniques. Depression is a severe mental illness that impairs a person’s capacity to function normally in personal and professional life. The assessment of depression usually requires a comprehensive examination by an expert professional.
Recently, machine learning-based automatic depression assessment has received considerable attention for a reliable and efficient depression diagnosis. Various techniques for automated depression detection were developed; however, certain concerns still need to be investigated. In this work, we propose a novel deep Spatio-Temporal Networks that effectively utilizes facial cues for an automated depression assessment.
In addition, Volume Local Directional Structural Pattern (VLDSP) based dynamic feature descriptor is introduced to extract the facial dynamics by encoding the structural aspects. Afterwards, we employ the Temporal Attentive Pooling (TAP) approach to summarize the segment-level features for video data.
About the speaker
Md Azher Uddin
Md Azher Uddin received his B.Sc. degree in Computer Science and Engineering from International Islamic University Chittagong, Bangladesh in 2011 and the Masters leading to Ph.D. degree in Computer Science and Engineering from Kyung Hee University, South Korea, in August 2020. He is currently working as an Assistant Professor with the Department of Computer Science, Heriot-Watt University Dubai Campus, United Arab Emirates. His research interests include Artificial Intelligence, Computer Vision, Machine Learning, and Big Data analytics.
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