no code implementations • 6 Oct 2022 • Henok Ghebrechristos, Stence Nicholas, David Mirsky, Gita Alaghband, Manh Huynh, Zackary Kromer, Ligia Batista, Brent ONeill, Steven Moulton, Daniel M. Lindberg
In addition, we perform analysis of our systems output to determine the association of CE with Abusive Head Trauma (AHT) , a type of traumatic brain injury (TBI) associated with abuse , and overall functional outcome and in hospital mortality of infants and young children.
1 code implementation • 25 Mar 2021 • Manh Huynh, Gita Alaghband
To address this problem, we introduce GPRAR, a graph convolutional network based pose reconstruction and action recognition for human trajectory prediction.
no code implementations • 16 Feb 2020 • Manh Huynh, Gita Alaghband
We present a novel adaptive online learning (AOL) framework to predict human movement trajectories in dynamic video scenes.
no code implementations • 16 Feb 2020 • Nao Takano, Gita Alaghband
In particular, we uncovered that it is not an essential component to form a perceptual loss.
no code implementations • 23 Aug 2019 • 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 simultaneously within static crowded scenes.
1 code implementation • 24 Mar 2019 • Nao Takano, Gita Alaghband
Generative Adversarial Networks (GANs) in supervised settings can generate photo-realistic corresponding output from low-definition input (SRGAN).
no code implementations • 12 Aug 2018 • Huynh Manh, Gita Alaghband
The scene data filter allows us to select the relevant parts of the information from the grid cell's memory relative to a target's state.
no code implementations • 5 Jul 2018 • 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.