9 citations · 12 across the 3 of their papers we have counts for
4 papers
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children
Henok Ghebrechristos, Stence Nicholas, David Mirsky +7
This paper presents a deep learning framework for image classification aimed at increasing predictive performance for Cytotoxic Edema (CE) diagnosis in infants and children. The pr…
GPRAR: Graph Convolutional Network based Pose Reconstruction and Action Recognition for Human Trajectory Prediction
Manh Huynh, Gita Alaghband
Prediction with high accuracy is essential for various applications such as autonomous driving. Existing prediction models are easily prone to errors in real-world settings where o…
AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes
Manh Huynh, Gita Alaghband
We present a novel adaptive online learning (AOL) framework to predict human movement trajectories in dynamic video scenes. Our framework learns and adapts to changes in the scene…
Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM
Manh Huynh, Gita Alaghband
We develop a novel human trajectory prediction system that incorporates the scene information (Scene-LSTM) as well as individual pedestrian movement (Pedestrian-LSTM) trained simul…