TsungchengWu
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Steering drones with body gestures (based on PoseNet)
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Code and models of our arXiv paper "IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition"
Awesome work on hand pose estimation/tracking
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
3D ResNets for Action Recognition (CVPR 2018)
WACV 2020 "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison"
A python wrapper for Mediapipe's Multi-Hand Tracking
Repository for PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition
The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).
Official repo for ECCV 2020 paper - RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition
A curated list of action recognition and related area resources
A PyTorch implementation of EfficientNet
Gate-Shift Networks for Video Action Recognition - CVPR 2020
pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported
Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone
Continuous Sign Language Recognition with Iterative Spatio Temporal Fine-tuning
Sign Language Gesture Recognition From Video Sequences Using RNN And CNN
PyTorch reimplementation of DilatedSLR (IJCAI'18) for continuous sign language recognition.
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。
Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.