Shuangrui Ding

Orcid: 0000-0001-7033-774X

According to our database1, Shuangrui Ding authored at least 19 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree.
CoRR, 2024

Streaming Long Video Understanding with Large Language Models.
CoRR, 2024

SongComposer: A Large Language Model for Lyric and Melody Composition in Song Generation.
CoRR, 2024

AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking Image-to-Video Adaptation: An Object-Centric Perspective.
Proceedings of the Computer Vision - ECCV 2024, 2024

Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.
CoRR, 2023

Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Motion-inductive Self-supervised Object Discovery in Videos.
CoRR, 2022

Masked Autoencoders are Robust Data Augmentors.
CoRR, 2022

Dual Contrastive Learning for Spatio-temporal Representation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Static and Dynamic Concepts for Self-supervised Video Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Motion-aware Contrastive Video Representation Learning via Foreground-background Merging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Motion-aware Self-supervised Video Representation Learning via Foreground-background Merging.
CoRR, 2021

Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access.
CoRR, 2020

Towards More Practical Adversarial Attacks on Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


  Loading...