liuziyang123 Goto Github PK
Name: Ziyang Liu
Type: User
Company: Beihang University
Bio: Ph.D. student in Beihang University. Research interests: computer vision, deep learning, meta learning, optical flow, ...
Location: Beijing
Name: Ziyang Liu
Type: User
Company: Beihang University
Bio: Ph.D. student in Beihang University. Research interests: computer vision, deep learning, meta learning, optical flow, ...
Location: Beijing
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
Implementation of our paper entitiled FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow published in TIM.
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Implementation of our paper entitiled LiDAR-ToF-Binocular depth fusion using gradient priors published in CCDC.
Implementation of our paper, entitiled Unsupervised Optical Flow Estimation for Differently Exposed Images in LDR Domain, submitted to IEEE TCSVT.
Permutohedral Lattice C++/CUDA implementation + TensorFlow Op (CPU/GPU)
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Implementation of our paper entitiled S&CNet: A lightweight network for fast and accurate depth completion published in JVCI.
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI)
Implementation of our papers entitiled Deep Joint Demosaicing and High Dynamic Range Imaging within a Single Shot published in TCSVT and Restoration of HDR Images for SVE-Based HDRI via a Novel DCNN published in ICME.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.