Jilan Xu

Orcid: 0000-0002-8208-2067

According to our database1, Jilan Xu authored at least 32 papers between 2020 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World.
CoRR, 2024

InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding.
CoRR, 2024

Advancing COVID-19 Detection in 3D CT Scans.
CoRR, 2024

Domain Adaptation Using Pseudo Labels for COVID-19 Detection.
CoRR, 2024

Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding.
CoRR, 2024

Anatomical Structure-Guided Medical Vision-Language Pre-training.
CoRR, 2024

Retrieval-Augmented Egocentric Video Captioning.
CoRR, 2024

2023
MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation.
Health Inf. Sci. Syst., December, 2023

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark.
CoRR, 2023

VideoLLM: Modeling Video Sequence with Large Language Models.
CoRR, 2023

Mask Hierarchical Features For Self-Supervised Learning.
CoRR, 2023

Ensemble Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation.
Proceedings of the Myopic Maculopathy Analysis, 2023

Towards Label-Efficient Deep Learning for Myopic Maculopathy Classification.
Proceedings of the Myopic Maculopathy Analysis, 2023

SCSGNet: Spatial-Correlated and Shape-Guided Network for Breast Mass Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Diabetic Retinopathy Grading with Weakly-Supervised Lesion Priors.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semi-MedSeq: Semi-supervised Semantic Segmentation for Medical Image Sequences.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Enhanced Knowledge Injection for Radiology Report Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
InternVideo: General Video Foundation Models via Generative and Discriminative Learning.
CoRR, 2022

CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors.
CoRR, 2022

FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis.
CoRR, 2022

Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images.
Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Boosting COVID-19 Severity Detection with Infection-Aware Contrastive Mixup Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

CMC_v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MedSeq: Semantic Segmentation for Medical Image Sequences.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Single-Modality Endoscopic Polyp Segmentation via Random Color Reversal Synthesis and Two-Branched Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Periphery-aware COVID-19 diagnosis with contrastive representation enhancement.
Pattern Recognit., 2021

CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Data-Efficient Histopathology Image Analysis with Deformation Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


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