Jiaying Lin

According to our database, Jiaying Lin authored at least 30 papers between 2013 and 2024.

Collaborative distances:

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

2024

Parkinson's severity diagnosis explainable model based on 3D multi-head attention residual network.

Jiehui Huang, Lishan Lin, Fengcheng Yu, Xuedong He, Wenhui Song, Jiaying Lin, Zhenchao Tang, Kang Yuan, Yucheng Li, Haofan Huang, Zhong Pei, Wenbiao Xian, Calvin Yu-Chian Chen

Comput. Biol. Medicine, March, 2024

TMBL: Transformer-based multimodal binding learning model for multimodal sentiment analysis.

Jiehui Huang, Jun Zhou, Zhenchao Tang, Jiaying Lin, Calvin Yu-Chian Chen

Knowl. Based Syst., 2024

Multi-View Dynamic Reflection Prior for Video Glass Surface Detection.

Fang Liu, Yuhao Liu, Jiaying Lin, Ke Xu, Rynson W. H. Lau

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mirror Detection With the Visual Chirality Cue.

Xin Tan, Jiaying Lin, Ke Xu, Pan Chen, Lizhuang Ma, Rynson W. H. Lau

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Frequency-aware Camouflaged Object Detection.

Jiaying Lin, Xin Tan, Ke Xu, Lizhuang Ma, Rynson W. H. Lau

ACM Trans. Multim. Comput. Commun. Appl., 2023

An inferential model-based method for testing homogeneity of several variances against tree-ordered alternatives.

Jingsen Kong, Hua Jin, Hezhi Lu, Jiaying Lin, Katherine Jin

Int. J. Approx. Reason., 2023

Pavlovian Conditioning Modeling Using Wireless Spiking Neural Network.

Jiaying Lin, Ryuji Nagazawa, Kien Nguyen, Hiroo Sekiya, Hiroyuki Torikai, Mikio Hasegawa, Won-Joo Hwang

Proceedings of the 20th International SoC Design Conference, 2023

Self-supervised Pre-training for Mirror Detection.

Jiaying Lin, Rynson W. H. Lau

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

Convolutional Neural Network for Emotional EEG Decoding and Visualization.

Jiaying Lin, Lu Li, Abdelkader Nasreddine Belkacem, Jun Liang, Chao Chen

Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

Learning to Detect Mirrors from Videos via Dual Correspondences.

Jiaying Lin, Xin Tan, Rynson W. H. Lau

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

Symmetry-Aware Transformer-Based Mirror Detection.

Tianyu Huang, Bowen Dong, Jiaying Lin, Xiaohui Liu, Rynson W. H. Lau, Wangmeng Zuo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Efficient Mirror Detection via Multi-Level Heterogeneous Learning.

Ruozhen He, Jiaying Lin, Rynson W. H. Lau

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Weakly-Supervised Camouflaged Object Detection with Scribble Annotations.

Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W. H. Lau

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Dataset for LiDAR-based Maritime Perception.

Jiaying Lin, Phillip Diekmann, Christian-Eike Framing, René Zweigel, Dirk Abel

Dataset, July, 2022

Maritime Environment Perception Based on Deep Learning.

Jiaying Lin, Phillip Diekmann, Christian-Eike Framing, René Zweigel, Dirk Abel

IEEE Trans. Intell. Transp. Syst., 2022

Depth-aware Glass Surface Detection with Cross-modal Context Mining.

Jiaying Lin, Yuen Hei Yeung, Rynson W. H. Lau

CoRR, 2022

Rethinking Video Salient Object Ranking.

Jiaying Lin, Huankang Guan, Rynson W. H. Lau

CoRR, 2022

Intrusion Detection System for In-vehicle Networks with Incremental Learning Based on Cloud-Edge Collaborative Architecture.

Jiaying Lin, Yehua Wei, Haoran Jiang, Jing Long

Proceedings of the IEEE Smartworld, 2022

Exploiting Semantic Relations for Glass Surface Detection.

Jiaying Lin, Yuen Hei Yeung, Rynson W. H. Lau

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Semantic Associations for Mirror Detection.

Huankang Guan, Jiaying Lin, Rynson W. H. Lau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Intrusion Detection System Based on Deep Neural Network and Incremental Learning for In-Vehicle CAN Networks.

Jiaying Lin, Yehua Wei, Wenjia Li, Jing Long

Proceedings of the Ubiquitous Security - First International Conference, 2021

Real-time Multi-Object Tracking using Adaptive Filtering and Filter Banks for Maritime Applications.

Jiaying Lin, Aravindaraja Puthiyavinayagam, Shuchen Liu, Martin Kurowski, Jan-Jöran Gehrt, René Zweigel, Dirk Abel

Proceedings of the 2021 European Control Conference, 2021

Rich Context Aggregation With Reflection Prior for Glass Surface Detection.

Jiaying Lin, Zebang He, Rynson W. H. Lau

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Environment Perception and Object Tracking for Autonomous Vehicles in a Harbor Scenario.

Jiaying Lin, Lucas Koch, Martin Kurowski, Jan-Jöran Gehrt, Dirk Abel, René Zweigel

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Coherence and Identity Learning for Arbitrary-length Face Video Generation.

Shuquan Ye, Chu Han, Jiaying Lin, Guoqiang Han, Shengfeng He

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Development and Effect of Primary School Chinese Reading Generative Classroom Model in the Intelligent Environment.

Xiaojuan Chen, Youru Xie, Jiaying Lin, Huiyu Lai, Hai Yang, Huiwen Zhong, Jiayao Wu

Proceedings of the Blended Learning. Education in a Smart Learning Environment, 2020

Progressive Mirror Detection.

Jiaying Lin, Guodong Wang, Rynson W. H. Lau

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Advanced state estimation for navigation of automated vehicles.

Thomas Konrad, Jan-Jöran Gehrt, Jiaying Lin, René Zweigel, Dirk Abel

Annu. Rev. Control., 2018

2013

Identifying vulnerabilities in critical infrastructures by network analysis.

Chi Yung Lam, Jiaying Lin, Mong Soon Sim, Kang Tai

Int. J. Crit. Infrastructures, 2013

An Agent-Based Modeling and Evolutionary Optimization Approach for Vulnerability Analysis of Critical Infrastructure Networks.

Akhila Kizhakkedath, Kang Tai, Mong Soon Sim, Robert Lee Kong Tiong, Jiaying Lin

Proceedings of the AsiaSim 2013, 2013