Jinjing Zhu

According to our database, Jinjing Zhu authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation.

Yexin Liu, Weiming Zhang, Guoyang Zhao, Jinjing Zhu, Athanasios V. Vasilakos, Lin Wang

IEEE Trans. Artif. Intell., October, 2024

Energy-Based Domain-Adaptive Segmentation With Depth Guidance.

Jinjing Zhu, Zhedong Hu, Tae-Kyun Kim, Lin Wang

IEEE Robotics Autom. Lett., August, 2024

A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting.

Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang

IEEE Trans. Image Process., 2024

CLIP the Divergence: Language-guided Unsupervised Domain Adaptation.

Jinjing Zhu, Yucheng Chen, Lin Wang

CoRR, 2024

Any360D: Towards 360 Depth Anything with Unlabeled 360 Data and Möbius Spatial Augmentation.

Zidong Cao, Jinjing Zhu, Weiming Zhang, Lin Wang

CoRR, 2024

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

Jinjing Zhu, Yucheng Chen, Lin Wang

CoRR, 2024

Open-Set Semi-Supervised Learning by Distribution Alignment.

Qiao Xiao, Jinjing Zhu, Boqian Wu, Yu Zhang

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

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

Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang

CoRR, 2023

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

Jingyi Pan, Sihang Li, Yucheng Chen, Jinjing Zhu, Lin Wang

CoRR, 2023

A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation.

Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang

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

Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective.

Jinjing Zhu, Haotian Bai, Lin Wang

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.

Xu Zheng, Jinjing Zhu, Yexin Liu, Zidong Cao, Chong Fu, Lin Wang

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

SEPT: Towards Scalable and Efficient Visual Pre-training.

Yiqi Lin, Huabin Zheng, Huaping Zhong, Jinjing Zhu, Weijia Li, Conghui He, Lin Wang

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.

Pengyuan Zhou, Jinjing Zhu, Yiting Wang, Yunfan Lu, Zixiang Wei, Haolin Shi, Yuchen Ding, Yu Gao, Qinglong Huang, Yan Shi, Ahmad Yousef Alhilal, Lik-Hang Lee, Tristan Braud, Pan Hui, Lin Wang

CoRR, 2022

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

Hao Ai, Zidong Cao, Jinjing Zhu, Haotian Bai, Yucheng Chen, Lin Wang

CoRR, 2022

Selective Partial Domain Adaptation.

Pengxin Guo, Jinjing Zhu, Yu Zhang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2019

Atrial Fibrillation Detection using Different Duration ECG Signals with SE-ResNet.

Jinjing Zhu, Yue Zhang, Qingqing Zhao

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.

Jinjing Zhu, Kaifa Xin, Qingqing Zhao, Yue Zhang

Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019