mark12ding Goto Github PK
Name: Mark Ding
Type: User
Company: The Chinese University of Hong Kong
Bio: Ph.D. Student at MMLab, CUHK
Twitter: ShuangruiDing
Name: Mark Ding
Type: User
Company: The Chinese University of Hong Kong
Bio: Ph.D. Student at MMLab, CUHK
Twitter: ShuangruiDing
[CVPR2021] The source code for our paper 《Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning》.
Python library to communicate with Crazyflie
Convolutional Neural Networks
Official code for Dual Contrastive Learning for Spatio-temporal Representation (ACM MM 2022)
[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
EECS 442 project
Code for Motion-aware Contrastive Video Representation Learning via Foreground-background Merging (CVPR 2022)
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
[NeurIPS 2021] Global Filter Networks for Image Classification
Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
[CVPR 2022 Oral] MixFormer: End-to-End Tracking with Iterative Mixed Attention
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Code for Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation (ICCV 2023)
(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"
This is an official implementation for "Video Swin Transformers".
Official pytorch implementation of paper "VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples" (CVPR 2021).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.