Shuyang Sun

Orcid: 0000-0002-1486-2029

According to our database1, Shuyang Sun authored at least 29 papers between 2006 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model.
CoRR, 2024

RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model.
CoRR, 2024

2023
Patch-Based Separable Transformer for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor.
CoRR, 2023

Real-Fake: Effective Training Data Synthesis Through Distribution Matching.
CoRR, 2023

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Is Synthetic Data from Generative Models Ready for Image Recognition?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty.
CoRR, 2022

Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransMix: Attend to Mix for Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Visual Parser: Representing Part-whole Hierarchies with Transformers.
CoRR, 2021

Vision Transformer with Progressive Sampling.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Aggregation with Feature Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Learning to Sample the Most Useful Training Patches from Images.
CoRR, 2020

Exploring the Hierarchy in Relation Labels for Scene Graph Generation.
CoRR, 2020

2019
MMDetection: Open MMLab Detection Toolbox and Benchmark.
CoRR, 2019

Robust Multi-Modality Multi-Object Tracking.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Hybrid Task Cascade for Instance Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A knowledge management framework for effective integration of national archives resources in China.
J. Documentation, 2016

Readiness Assessment of Open Government Data Programs: A Case of Shenzhen.
Proceedings of the 17th International Digital Government Research Conference on Digital Government Research, 2016

2015
A comprehensive concept map for adequate protection and effective management of personal information in networked Chinese services.
Electron. Libr., 2015

2013
Co-hierarchical analysis of shape structures.
ACM Trans. Graph., 2013

2006
Algorithm Studies of Rules Generation in CORS.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

A Posterior-Based Method for Markov Logic Networks Parameters Learning.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006


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