ZhipengLiu6's repositories
3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
BSRT
Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).
CenterNet
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
deep_blur_detection_and_classification
End-to-end network for blur detection and classification (presented at PG 2018)
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
ECO-efficient-video-understanding
Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018
g3an-project
[CVPR 20] G3AN: Disentangling Appearance and Motion for Video Generation
google-research
Google Research
Handheld-Multi-Frame-Super-Resolution
Handheld Multi-image Super-resolution [Wronski et al., SIGGRAPH19]. Non-official GPU-supported Python implementation.
HCN-pytorch
A pytorch reimplementation of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation }.
hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
kill-the-bits
Code for: "And the bit goes down: Revisiting the quantization of neural networks"
MatrixSlow
A simple deep learning framework in pure python for purpose of learning in DL
mediapipe
MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
places365
The Places365-CNNs for Scene Classification
PoseEstimationForMobile
:dancer: Real-time single person pose estimation for Android and iOS.
pytorch-mobilenet-v2
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
pytorch_Realtime_Multi-Person_Pose_Estimation
This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation
recognize-anything
Code for the Recognize Anything Model (RAM) and Tag2Text Model
tools-with-script
脚本编写的工具集。