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University of Science and Technology of China
- Hefei, Anhui, P.R.China
- http://husencd.github.io/
Stars
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Realtime human head pose estimation with ONNXRuntime and OpenCV.
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multi…
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up…
Flexible audio loudness meter in Python with implementation of ITU-R BS.1770-4 loudness algorithm
A library for speech data augmentation in time-domain
[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
💎 Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).
realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)
This is an official Pytorch implementation of "Cross View Fusion for 3D Human Pose Estimation, ICCV 2019".
Track to Detect and Segment: An Online Multi-Object Tracker (CVPR 2021)
Pytorch implementation of the ECCV 2016 paper "Stacked Hourglass Networks for Human Pose Estimation"
The official implementation of GTCRN, an ultra-lightweight SE model.
[ICCV 2019] Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression - Official Implementation
Improved Wave-U-Net implemented in Pytorch
CRNN with attention to do OCR,add Chinese recognition
Official PyTorch Implementation of CleanUNet (ICASSP 2022)
simple delaysum, MVDR and CGMM-MVDR
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
Implementation for paper "Disentangled Representation Learning for 3D Face Shape" CVPR 2019