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Mark Ding's Projects

be icon be

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

dclr icon dclr

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

denseclip icon denseclip

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

dino icon dino

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

fame icon fame

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

gcnet icon gcnet

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

gfnet icon gfnet

[NeurIPS 2021] Global Filter Networks for Image Classification

gnn-practical-attack icon gnn-practical-attack

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

mae icon mae

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

mixformer icon mixformer

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

moco icon moco

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

nettack icon nettack

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

slowfast icon slowfast

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

sta icon sta

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

tokencut icon tokencut

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

videomoco icon videomoco

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

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