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Zijian Wan's Projects

deep-learning icon deep-learning

Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.

generative-trajectory-interpolation icon generative-trajectory-interpolation

A trajectory interpolation model based on long short-term memory (LSTM) and generative adversarial network (GAN) that takes as an input a trajectory containing a gap (i.e., a sequence of missing tracking points) and outputs the interpolated complete trajectory.

move-similarity icon move-similarity

A movement-similarity-based framework to identify and understand variability in movement behavior by clustering trajectories and characterize them with environmental variables.

socialways icon socialways

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

zijian-wan.github.io icon zijian-wan.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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