Mark Ding (Mark12Ding)

Mark12Ding

Geek Repo

Company:The Chinese University of Hong Kong

Home Page:https://mark12ding.github.io/

Twitter:@ShuangruiDing

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Mark Ding's repositories

FAME

Code for Motion-aware Contrastive Video Representation Learning via Foreground-background Merging (CVPR 2022)

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GNN-Practical-Attack

Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)

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STA

Code for Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation (ICCV 2023)

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BE

[CVPR2021] The source code for our paper 《Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning》.

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crazyflie-lib-python

Python library to communicate with Crazyflie

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darknet

Convolutional Neural Networks

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DCLR

Official code for Dual Contrastive Learning for Spatio-temporal Representation (ACM MM 2022)

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DenseCLIP

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

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dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

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GCNet

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

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GFNet

[NeurIPS 2021] Global Filter Networks for Image Classification

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mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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MixFormer

[CVPR 2022 Oral] MixFormer: End-to-End Tracking with Iterative Mixed Attention

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moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

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nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

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SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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TokenCut

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

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Video-Swin-Transformer

This is an official implementation for "Video Swin Transformers".

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VideoMoCo

Official pytorch implementation of paper "VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples" (CVPR 2021).

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