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xrosliang's Projects

portraitnet icon portraitnet

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

pose-residual-network icon pose-residual-network

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

pose-transfer icon pose-transfer

Code for the paper Progressive Pose Attention for Person Image Generation in CVPR19 (Oral).

posefix_release icon posefix_release

Official TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019

poseformer icon poseformer

The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".

pouch icon pouch

An Efficient Enterprise-class Container Engine

ppdet icon ppdet

[BMVC-20] Official PyTorch implementation of PPDet.

ppdm icon ppdm

Code for "PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection".

ppgn icon ppgn

Code for paper "Plug and Play Generative Networks"

pq-net icon pq-net

code for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"

practical-1 icon practical-1

Oxford Deep NLP 2017 course - Practical 1: word2vec

practical-machine-learning-with-python icon practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

preciseroipooling icon preciseroipooling

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

predict-cluster icon predict-cluster

Repository for PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition

predict-customer-churn icon predict-customer-churn

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

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