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Found 8 papers, 2 papers with code
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children
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.
GPRAR: Graph Convolutional Network based Pose Reconstruction and Action Recognition for Human Trajectory Prediction
To address this problem, we introduce GPRAR, a graph convolutional network based pose reconstruction and action recognition for human trajectory prediction.
AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes
We present a novel adaptive online learning (AOL) framework to predict human movement trajectories in dynamic video scenes.
Generator From Edges: Reconstruction of Facial Images
In particular, we uncovered that it is not an essential component to form a perceptual loss.
Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM
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.
SRGAN: Training Dataset Matters
Generative Adversarial Networks (GANs) in supervised settings can generate photo-realistic corresponding output from low-definition input (SRGAN).
Scene-LSTM: A Model for Human Trajectory Prediction
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.
Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking
In this paper, we present a new spatial discriminative KSVD dictionary algorithm (STKSVD) for learning target appearance in online multi-target tracking.
