Xi Shen

Orcid: 0000-0001-8043-9117

Affiliations:
  • Tencent AI Lab, Shenzhen, China
  • Ecole des ponts ParisTech, France


According to our database1, Xi Shen authored at least 18 papers between 2018 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Compressing Features for Learning With Noisy Labels.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

SURE: SUrvey REcipes for building reliable and robust deep networks.
CoRR, 2024

2023
TokenCut: Segmenting Objects in Images and Videos With Self-Supervised Transformer and Normalized Cut.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Jigsaw-ViT: Learning jigsaw puzzles in vision transformer.
Pattern Recognit. Lett., February, 2023

Back to MLP: A Simple Baseline for Human Motion Prediction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis.
Int. J. Comput. Vis., 2022

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Co-segmentation by Segment Swapping for Retrieval and Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Re-ranking for image retrieval and transductive few-shot classification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Image Collation: Matching Illustrations in Manuscripts.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Boosting Co-Teaching With Compression Regularization for Label Noise.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
A Web Application for Watermark Recognition.
J. Data Min. Digit. Humanit., 2020

Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients.
Proceedings of the 8th International Conference on Learning Representations, 2020

RANSAC-Flow: Generic Two-Stage Image Alignment.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Marginalized Average Attentional Network for Weakly-Supervised Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
The burgeoning computer-art symbiosis.
XRDS, 2018


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