Yunlong Lin

According to our database, Yunlong Lin authored at least 8 papers between 2022 and 2023.

Collaborative distances:

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

2023

DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening.

Jingjia Huang, Ge Meng, Yingying Wang, Yunlong Lin, Yue Huang, Xinghao Ding

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening.

Yingying Wang, Yunlong Lin, Ge Meng, Zhenqi Fu, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding, Yue Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Domain-irrelevant Feature Learning for Generalizable Pan-sharpening.

Yunlong Lin, Zhenqi Fu, Ge Meng, Yingying Wang, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CPLFormer: Cross-scale Prototype Learning Transformer for Image Snow Removal.

Sixiang Chen, Tian Ye, Yun Liu, Jinbin Bai, Haoyu Chen, Yunlong Lin, Jun Shi, Erkang Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Rethinking Trajectory Prediction in Real-World Applications: An Online Task-Free Continual Learning Perspective.

Yunlong Lin, Zirui Li, Cheng Gong, Qi Liu, Chao Lu, Jianwei Gong

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Learning-Based Controller for Trajectory Tracking of Autonomous Vehicles in Complex and Uncertain Scenarios.

Cheng Gong, Runqi Qiu, Yunlong Lin, Zirui Li, Jianwei Gong, Chao Lu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach.

Yunlong Lin, Zirui Li, Cheng Gong, Chao Lu, Xinwei Wang, Jianwei Gong

CoRR, 2022

An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios.

Zirui Li, Yunlong Lin, Cheng Gong, Xinwei Wang, Qi Liu, Jianwei Gong, Chao Lu

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022