Siyuan Qiao

According to our database¹, Siyuan Qiao authored at least 42 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions.

[BibT_eX]

[DOI]

CoRR, 2024

PolyMaX: General Dense Prediction with Mask Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

BNET: Batch Normalization With Enhanced Linear Transformation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers.

[BibT_eX]

[DOI]

CoRR, 2023

De-Diffusion Makes Text a Strong Cross-Modal Interface.

[BibT_eX]

[DOI]

CoRR, 2023

Superpixel Transformers for Efficient Semantic Segmentation.

[BibT_eX]

[DOI]

IROS, 2023

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Waymo Open Dataset: Panoramic Video Panoptic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

k-means Mask Transformer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Waymo Open Dataset: Panoramic Video Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TubeFormer-DeepLab: Video Mask Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Security Awareness and Protection System for 5G Smart Healthcare Based on Zero-Trust Architecture.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms.

[BibT_eX]

[DOI]

CoRR, 2021

DeepLab2: A TensorFlow Library for Deep Labeling.

[BibT_eX]

[DOI]

CoRR, 2021

VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution.

[BibT_eX]

[DOI]

Siyuan Qiao

Liang-Chieh Chen

Alan L. Yuille

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deeply Shape-Guided Cascade for Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Batch Normalization with Enhanced Linear Transformation.

[BibT_eX]

[DOI]

CoRR, 2020

Scaling Wide Residual Networks for Panoptic Segmentation.

[BibT_eX]

[DOI]

Liang-Chieh Chen

Huiyu Wang

Siyuan Qiao

CoRR, 2020

Robust Face Detection via Learning Small Faces on Hard Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Shape-aware Feature Extraction for Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Rethinking Normalization and Elimination Singularity in Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion.

[BibT_eX]

[DOI]

CoRR, 2019

Weight Standardization.

[BibT_eX]

[DOI]

CoRR, 2019

Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Progressive Recurrent Learning for Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2018

Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students.

[BibT_eX]

[DOI]

CoRR, 2018

Gradually Updated Neural Networks for Large-Scale Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Multi-scale Spatially-Asymmetric Recalibration for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Co-Training for Semi-Supervised Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Single-Shot Object Detection With Enriched Semantics.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Few-Shot Image Recognition by Predicting Parameters From Activations.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Unleashing the Potential of CNNs for Interpretable Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2017

UnrealCV: Virtual Worlds for Computer Vision.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

SORT: Second-Order Response Transform for Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2015

Structure-aware QR Code abstraction.

[BibT_eX]

[DOI]

Vis. Comput., 2015

2009

Distinguishing Attack on Secret Prefix MAC Instantiated with Reduced SHA-1.

[BibT_eX]

[DOI]

Siyuan Qiao

Wei Wang

Keting Jia

Proceedings of the Information, Security and Cryptology, 2009

Side Channel Cube Attack on PRESENT.

[BibT_eX]

[DOI]

Lin Yang

Meiqin Wang

Siyuan Qiao

Proceedings of the Cryptology and Network Security, 8th International Conference, 2009

Siyuan Qiao

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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