Jinjing Zhu

According to our database1, Jinjing Zhu authored at least 14 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Energy-based Domain-Adaptive Segmentation with Depth Guidance.
CoRR, 2024

Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data.
CoRR, 2024

2023
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting.
CoRR, 2023

Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation.
CoRR, 2023

Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation.
CoRR, 2023

A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SEPT: Towards Scalable and Efficient Visual Pre-training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Vetaverse: Technologies, Applications, and Visions toward the Intersection of Metaverse, Vehicles, and Transportation Systems.
CoRR, 2022

Deep Learning for Omnidirectional Vision: A Survey and New Perspectives.
CoRR, 2022

Selective Partial Domain Adaptation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2019
Atrial Fibrillation Detection using Different Duration ECG Signals with SE-ResNet.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

A Multi-label Learning Method to Detect Arrhythmia Based on 12-Lead ECGs.
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019


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