15 citations · 18 across the 4 of their papers we have counts for
6 papers · 1 filter
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…
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…