Jingjun Yi

Orcid: 0000-0002-4249-3021

According to our database1, Jingjun Yi authored at least 26 papers between 2021 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
Revisiting Fine-Grained Image Analysis by Semantic-Part Alignment.
IEEE Trans. Image Process., 2026

2025
Learning Generalized Medical Image Representation by Decoupled Feature Queries.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization.
IEEE Trans. Image Process., 2025

GAD: Domain generalized diabetic retinopathy grading by grade-aware de-stylization.
Pattern Recognit., 2025

AtlantisGS: Underwater Sparse-View Scene Reconstruction via Gaussian Splatting.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-Invariant CAM.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Learning Generalizable Diabetic Retinopathy Grading by Decoupled State Space Decoding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

A Simple Yet Mighty Hartley Diffusion Versatilist for Generalizable Dense Vision Tasks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

AdaDCP: Learning an Adapter with Discrete Cosine Prior for Clear-to-Adverse Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Cross-Station Continual Aurora Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation.
CoRR, 2024

GOOD: Towards Domain Generalized Orientated Object Detection.
CoRR, 2024

Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Local-Global Interactive Vision Transformer for Aerial Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Learning Instance Representation Banks for Aerial Scene Classification.
CoRR, 2022

A Multi-Stage Duplex Fusion Convnet for Aerial Scene Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Attention Awareness Multiple Instance Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
Differential Convolution Feature Guided Deep Multi-Scale Multiple Instance Learning for Aerial Scene Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021


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