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BIT & UTS
- Sydney
Stars
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)
Code to test and use the model from "Stacked Hourglass Networks for Human Pose Estimation"
Spatio-temporal video autoencoder with convolutional LSTMs
BodyNet: Volumetric Inference of 3D Human Body Shapes, ECCV 2018
Code for Structured Attention Networks https://arxiv.org/abs/1702.00887
Code for "Learning Feature Pyramids for Human Pose Estimation" (ICCV 2017)
Code repository for Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
Activity Recognition Algorithms for the Charades Dataset
Code for "Multi-Context Attention for Human Pose Estimation " (CVPR 2017)
Training code for "Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose", CVPR 2017
Long-term Temporal Convolutions for Action Recognition, TPAMI 2018
Demo code for "Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose", CVPR 2017
Relative Camera Pose Estimation Using Convolutional Neural Networks
Code for training temporal fully-connected CRF models in Torch
Code for "Harvesting Multiple Views for Marker-less 3D Human Pose Annotations", CVPR 2017