Yongyi Lu

Orcid: 0000-0003-1398-9965

According to our database¹, Yongyi Lu authored at least 39 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Extensible Max-Min Collaborative Retention for Online Mini-Batch Learning Hash Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images.

[BibT_eX]

[DOI]

CoRR, 2024

2023

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Abdominal multi-organ segmentation in CT using Swinunter.

[BibT_eX]

[DOI]

Mingjin Chen

Yongkang He

Yongyi Lu

CoRR, 2023

Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Open-World Pose Transfer via Sequential Test-Time Adaption.

[BibT_eX]

[DOI]

CoRR, 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Making Your First Choice: To Address Cold Start Problem in Medical Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

Label-Assemble: Leveraging Multiple Datasets with Partial Labels.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Making Your First Choice: To Address Cold Start Problem in Vision Active Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels.

[BibT_eX]

[DOI]

CoRR, 2022

Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification.

[BibT_eX]

[DOI]

CoRR, 2021

In-painting Radiography Images for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels.

[BibT_eX]

[DOI]

CoRR, 2021

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Glance-and-Gaze Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Can Temporal Information Help with Contrastive Self-Supervised Learning?

[BibT_eX]

[DOI]

CoRR, 2020

Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2018

Image Generation from Sketch Constraint Using Contextual GAN.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Attribute-Guided Face Generation Using Conditional CycleGAN.

[BibT_eX]

[DOI]

Yongyi Lu

Yu-Wing Tai

Chi-Keung Tang

Proceedings of the Computer Vision - ECCV 2018, 2018

Beyond Holistic Object Recognition: Enriching Image Understanding With Part States.

[BibT_eX]

[DOI]

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

2017

Sketch-to-Image Generation Using Deep Contextual Completion.

[BibT_eX]

[DOI]

CoRR, 2017

Conditional CycleGAN for Attribute Guided Face Image Generation.

[BibT_eX]

[DOI]

Yongyi Lu

Yu-Wing Tai

Chi-Keung Tang

CoRR, 2017

Online Video Object Detection Using Association LSTM.

[BibT_eX]

[DOI]

Yongyi Lu

Cewu Lu

Chi-Keung Tang

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Detection-Free Multiobject Tracking by Reconfigurable Inference With Bundle Representations.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2016

Beyond Holistic Object Recognition: Enriching Image Understanding with Part States.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Towards a solid solution of real-time fire and flame detection.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2015

Square Localization for Efficient and Accurate Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Complexity-adaptive distance metric for object proposals generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2012

Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

Yongyi Lu

Timeline

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On csauthors.net:

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