98 citations · 125 across the 7 of their papers we have counts for
9 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…
High Performance Parallel Sort for Shared and Distributed Memory MIMD
Thoria Alghamdi, Gita Alaghband
We present four high performance hybrid sorting methods developed for various parallel platforms: shared memory multiprocessors, distributed multiprocessors, and clusters taking ad…
Generator From Edges: Reconstruction of Facial Images
Nao Takano, Gita Alaghband
Applications that involve supervised training require paired images. Researchers of single image super-resolution (SISR) create such images by artificially generating blurry input…
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…
SRGAN: Training Dataset Matters
Nao Takano, Gita Alaghband
Generative Adversarial Networks (GANs) in supervised settings can generate photo-realistic corresponding output from low-definition input (SRGAN). Using the architecture presented…
Scene-LSTM: A Model for Human Trajectory Prediction
Huynh Manh, Gita Alaghband
We develop a human movement trajectory prediction system that incorporates the scene information (Scene-LSTM) as well as human movement trajectories (Pedestrian movement LSTM) in t…
Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking
Huynh Manh, Gita Alaghband
In this paper, we present a new spatial discriminative KSVD dictionary algorithm (STKSVD) for learning target appearance in online multi-target tracking. Different from other class…