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3d-coded

Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`

3d-point-capsule-networks

3D Point Capsule Networks

3dgan-release

3D Generative Adversarial Network

action-to-motion

Official implementations for "Action2Motion: Conditioned Generation of 3D Human Motions (ACM MultiMedia 2020)"

actor

Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021

adversarial_video_summary

PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks (CVPR 2017)"

aspect-based-sentiment-analysis

Aspect Based Sentiment Analysis

atlasnet

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

attention-ocr

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

awesome-implicit-representations

A curated list of resources on implicit neural representations.

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-person-re-identification

Awesome person re-identification

awesome-person-re-identification-1

Awesome Person Re-Identification

awesome-point-cloud-analysis-2020

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

awesome_video_person_reid

papers collection and understanding for video person re-identification

bi-real-net

camstyle

Camera Style Adaptation for Person Re-identification CVPR 2018

closerlook3d

A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)

cnn_mnist

coco-style-dataset-generator-gui

A simple GUI-based COCO-style JSON Polygon masks' annotation tool to facilitate quick and efficient crowd-sourced generation of annotation masks and bounding boxes. Optionally, one could choose to use a pretrained Mask RCNN model to come up with initial segmentations.

cocoapi

COCO API - Dataset @ http://cocodataset.org/

compi-e

csr-gan

code for Scale-Adaptive Low Resolution Person Re-identification

datamining

learn in datamining

dctnet

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-person-reid

Deep learning person re-identification in PyTorch.

deep_learning

deepfeaturevariationalautoencoder

'Deep Feature Consistent Variational Autoencoders' in PyTorch