Pinned Repositories
calvin-pang.github.io
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
ECE247_EEG_Net
HRNet-MaskRCNN-Benchmark
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
HRNet-Object-Detection
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
MAg
MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images
Reliable-pedestrian-tracking-based-on-single-view-RGB-D-images
ResUNet_Needle
Calvin-Pang's Repositories
Calvin-Pang/MAg
MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images
Calvin-Pang/calvin-pang.github.io
Calvin-Pang/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Calvin-Pang/HRNet-MaskRCNN-Benchmark
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
Calvin-Pang/HRNet-Object-Detection
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
Calvin-Pang/HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Calvin-Pang/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
Calvin-Pang/Lite-HRNet
This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.
Calvin-Pang/Reliable-pedestrian-tracking-based-on-single-view-RGB-D-images
Calvin-Pang/AlexNet
Calvin-Pang/ECE247_EEG_Net
Calvin-Pang/ResUNet_Needle
Calvin-Pang/CircleNet
The official implementation of CircleNet, MICCAI 2030
Calvin-Pang/Conditional_Diffusion_MNIST
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
Calvin-Pang/lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Calvin-Pang/mri_tools
Calvin-Pang/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Calvin-Pang/pytorch-openpose
pytorch implementation of openpose including Hand and Body Pose Estimation.
Calvin-Pang/SMAP
Code for "SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation", ECCV 2020