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hityzy's Projects

aedattools icon aedattools

Tools for manipulating .aedat files (timestamped address-event data from neuromorphic hardware), in Matlab and Python

arxiv2020-rife icon arxiv2020-rife

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

attention-cnn icon attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

cain icon cain

Source code for AAAI 2020 paper "Channel Attention Is All You Need for Video Frame Interpolation"

d3dnet icon d3dnet

Repository for "Deformable 3D Convolution for Video Super-Resolution", SPL, 2020

dcnv2 icon dcnv2

Deformable Convolutional Networks v2 with Pytorch

ddfnet icon ddfnet

The official implement of the CVPR2021 paper: Decoupled Dynamic Filter Networks

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep3d icon deep3d

Automatic 2D-to-3D Video Conversion with CNNs

deeptemporalsr icon deeptemporalsr

Across Scales & Across Dimensions - Temporal Super-Resolution using Deep Internal Learning

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

e2sri icon e2sri

Code for the paper "Learning to Super Resolve Intensity Images from Events" (CVPR-2020-Oral).

edsc-pytorch icon edsc-pytorch

Code for Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution

faceshifter icon faceshifter

Unofficial PyTorch Implementation for FaceShifter (https://arxiv.org/abs/1912.13457)

flavr icon flavr

Code for FLAVR: A fast and efficient frame interpolation technique.

fucking-algorithm icon fucking-algorithm

手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gcnet icon gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

glow-pytorch-1 icon glow-pytorch-1

pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"

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