Apurva Jain

Master's

Computer Science

California State University-Long Beach

Research Assistant

• Reduced training dataset by 90% and attain 93% accuracy, for Few-Shot Learning using modified CNN for GAIT dataset • Achieved 97% accuracy on Gait Classification Model using Encoder-Decoder LSTM Model in a Two-Head Network Classifier • Improved recovery of remote photoplethysmography(rPPG) signals by 10%, with an end-to-end process to counter video compression loss for highly compressed videos • Independently conducted labs for sophomore students for MATLAB programming