Notice

Hit 421
Subject Wissam, PhD student in IVY Lab, received a Silver Prize in the 2019 SAMSUNG Human-Tech Paper Award
Date 2019-01-30
Wissam, received a Silver Prize in the 2019 SAMSUNG Human-Tech Paper Award for his paper, “Mode Variational LSTM Robust to Unseen Modes of Variation.”

Wissam has started his research on Deep learning and facial analysis several years ago under the guidance of Prof. Yong Man Ro. Spatio-temporal feature encoding is essential for encoding the dynamics in video sequences. In Deep learning, spatio-temporal encoding has been popular using recurrent neural networks. To successfully encode the dynamics in video sequence in the real world, spatio-temporal features must be robust to different types of variations. However, existing recurrent neural networks do not sufficiently encode robust spatio-temporal features. His research is to devise a new recurrent neural network which is robust to environmental changes and variations unseen during the training time. He has successfully demonstrated that the proposed mode variational LSTM is useful for encoding spatio-temporal features robust to different types of variations that could appear in the real world.