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Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"
OpenMMLab Pose Estimation Toolbox and Benchmark.
[CVPR 2022] MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations (CVPR2020)
[CVPR 2024 🔥] Official implementation of the paper "⏳ Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation"
Efficient 3D human pose estimation in video using 2D keypoint trajectories
[TPAMI 2020] Learning 3D Human Shape and Pose from Dense Body Parts
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
Main codebase for TeXworks, a simple interface for working with TeX documents
Pretrained model for self supervised histopathology
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion
Compute 2D human pose and angles from a video or a webcam.
SportsPose - A Dynamic 3D sports pose dataset
pytorch implementation of openpose including Hand and Body Pose Estimation.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning (CVPR 2023)
Solution to CS231n Assignments 2019
My blogs and code for machine learning. http://cnblogs.com/pinard