LEI chen (thraster)

thraster

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浙大健康打卡的学习交流项目

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Awesome-Implicit-NeRF-Robotics

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

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bodies-at-rest

Code + Data for CVPR 2020 oral paper "Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data."

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detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

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FFmpeg

Mirror of https://git.ffmpeg.org/ffmpeg.git

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hmr

Project page for End-to-end Recovery of Human Shape and Pose

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hrl_pose_estimation

fork from gt-ros-pkg/hrl-assistive

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GLaDOS-checkin

GLaDOS-checkin,通过 github action 进行自动签到,每天延时一天,签到一定次数后奖励会变少。

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IAGNet

The Pytorch implementation of Grounding 3D Object Affordance from 2D Interactios in Images.

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Image-Segmentation

2D-EM Image Segmentation using Unet, Segnet, SVM and RandomForest

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lightweight-human-pose-estimation-3d-demo.pytorch

Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.

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litepose

[CVPR'22] Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation

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once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

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Pose_classification_using_bodies_at_rest_datasets

Pose classification using bodies at rest dataset

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pytorch_HMR

pytorch version of "End-to-end Recovery of Human Shape and Pose"

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SGCN4HOI

SGCN4HOI: A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection

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SLP-Dataset-and-Code

Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions (TPAMI 2022)

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SMPL

NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.

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smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

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stltostp

Convert stl files to STEP brep files

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TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

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VSGNet

VSGNet:Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions.

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ZJU-nCov-Hitcarder

used for learning, believe it or not

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