Kun-Yu Lin

According to our database, Kun-Yu Lin authored at least 39 papers between 2016 and 2024.

Collaborative distances:

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

2024

Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data.

Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Generalized Intra-Camera Supervised Person Re-Identification.

Yi-Xing Peng, Yu-Ming Tang, Kun-Yu Lin, Wei-Shi Zheng

IEEE Trans. Circuits Syst. Video Technol., June, 2024

TwinFormer: Fine-to-Coarse Temporal Modeling for Long-Term Action Recognition.

Jiaming Zhou, Kun-Yu Lin, Yukun Qiu, Wei-Shi Zheng

IEEE Trans. Multim., 2024

ParGo: Bridging Vision-Language with Partial and Global Views.

An-Lan Wang, Bin Shan, Wei Shi, Kun-Yu Lin, Xiang Fei, Guozhi Tang, Lei Liao, Jingqun Tang, Can Huang, Wei-Shi Zheng

CoRR, 2024

Human-Centric Transformer for Domain Adaptive Action Recognition.

Kun-Yu Lin, Jiaming Zhou, Wei-Shi Zheng

CoRR, 2024

Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation.

Jiaming Zhou, Teli Ma, Kun-Yu Lin, Ronghe Qiu, Zifan Wang, Junwei Liang

CoRR, 2024

Rethinking CLIP-based Video Learners in Cross-Domain Open-Vocabulary Action Recognition.

Kun-Yu Lin, Henghui Ding, Jiaming Zhou, Yi-Xing Peng, Zhilin Zhao, Chen Change Loy, Wei-Shi Zheng

CoRR, 2024

ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition.

Jiaming Zhou, Junwei Liang, Kun-Yu Lin, Jinrui Yang, Wei-Shi Zheng

CoRR, 2024

Towards Completeness: A Generalizable Action Proposal Generator for Zero-Shot Temporal Action Localization.

Jia-Run Du, Kun-Yu Lin, Jingke Meng, Wei-Shi Zheng

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Deep-Learning-Based Risk Prediction with Urban Sensing Data for Consumer Driving Safety.

Kun-Yu Lin, Pei-Yi Liu, Chih-Lin Hu, Sheng-Zhi Huang, Yung-Hui Chen, Lin Hui

Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

2023

Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection.

Zhilin Zhao, Longbing Cao, Kun-Yu Lin

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

Revealing the Distributional Vulnerability of Discriminators by Implicit Generators.

Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin

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

Consistent Intra-Video Contrastive Learning With Asynchronous Long-Term Memory Bank.

Zelin Chen, Kun-Yu Lin, Wei-Shi Zheng

IEEE Trans. Circuits Syst. Video Technol., March, 2023

Incentive Mechanism for Mobile Crowdsensing With Two-Stage Stackelberg Game.

Chih-Lin Hu, Kun-Yu Lin, Carl K. Chang

IEEE Trans. Serv. Comput., 2023

DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition.

Jiayu Jiao, Yu-Ming Tang, Kun-Yu Lin, Yipeng Gao, Andy J. Ma, Yaowei Wang, Wei-Shi Zheng

IEEE Trans. Multim., 2023

AdaFocus: Towards End-to-end Weakly Supervised Learning for Long-Video Action Understanding.

Jiaming Zhou, Hanjun Li, Kun-Yu Lin, Junwei Liang

CoRR, 2023

DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition.

Jiayu Jiao, Yu-Ming Tang, Kun-Yu Lin, Yipeng Gao, Jinhua Ma, Yaowei Wang, Wei-Shi Zheng

CoRR, 2023

Diversifying Spatial-Temporal Perception for Video Domain Generalization.

Kun-Yu Lin, Jia-Run Du, Yipeng Gao, Jiaming Zhou, Wei-Shi Zheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Event-Guided Procedure Planning from Instructional Videos with Text Supervision.

An-Lan Wang, Kun-Yu Lin, Jia-Run Du, Jingke Meng, Wei-Shi Zheng

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

Generating Anomalies for Video Anomaly Detection with Prompt-based Feature Mapping.

Zuhao Liu, Xiao-Ming Wu, Dian Zheng, Kun-Yu Lin, Wei-Shi Zheng

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

AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection.

Yipeng Gao, Kun-Yu Lin, Junkai Yan, Yaowei Wang, Wei-Shi Zheng

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

Predicting Road Traffic Risks with CNN-and-LSTM Learning Over Spatio-Temporal and Multi-Feature Traffic Data.

Kun-Yu Lin, Pei-Yi Liu, Po-Kai Wang, Chih-Lin Hu, Ying Cai

Proceedings of the IEEE International Conference on Software Services Engineering, 2023

2022

Node Pair Information Preserving Network Embedding Based on Adversarial Networks.

Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu

IEEE Trans. Cybern., 2022

Intelligent task migration with deep Qlearning in multi-access edge computing.

Sheng-Zhi Huang, Kun-Yu Lin, Chin-Lin Hu

IET Commun., 2022

Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection.

Zhilin Zhao, Longbing Cao, Kun-Yu Lin

CoRR, 2022

Adversarial Partial Domain Adaptation by Cycle Inconsistency.

Kun-Yu Lin, Jiaming Zhou, Yukun Qiu, Wei-Shi Zheng

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators.

Zhilin Zhao, Longbing Cao, Kun-Yu Lin

CoRR, 2021

Graph-Based High-Order Relation Modeling for Long-Term Action Recognition.

Jiaming Zhou, Kun-Yu Lin, Haoxin Li, Wei-Shi Zheng

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

2020

Highly Integrated ZVS Flyback Converter ICs With Pulse Transformer to Optimize USB Power Delivery for Fast-Charging Mobile Devices.

Wei-Hsu Chang, Yen-Ming Chen, Ching-Jan Chen, Pin-Ying Wang, Kun-Yu Lin, Chun-Ching Lee, Li-Di Lo, Jenn-Yu Lin, Ta-Yung Yang

IEEE J. Solid State Circuits, 2020

18.5 ZVS Flyback-Converter ICs Optimizing USB Power Delivery for Fast-Charging Mobile Devices to Achieve 93.5% Efficiency.

Wei-Hsu Chang, Kun-Yu Lin, Chun-Ching Lee, Li-Di Lo, Jenn-Yu Lin, Ta-Yung Yang

Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020

2019

Direction recovery in undirected social networks based on community structure and popularity.

Yi-Ming Wen, Ling Huang, Chang-Dong Wang, Kun-Yu Lin

Inf. Sci., 2019

Multi-view Outlier Detection in Deep Intact Space.

Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, Kun-Yu Lin

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Analysis of Retrieving Publications with Multiple Citation Networks.

Been-Chian Chien, Kun-Yu Lin

Proceedings of the 5th Multidisciplinary International Social Networks Conference, 2018

Direction Recovery in Undirected Social Networks Based on Community Structure and Popularity.

Yi-Ming Wen, Chang-Dong Wang, Kun-Yu Lin

Proceedings of the Database Systems for Advanced Applications, 2018

Multi-view Proximity Learning for Clustering.

Kun-Yu Lin, Ling Huang, Chang-Dong Wang, Hong-Yang Chao

Proceedings of the Database Systems for Advanced Applications, 2018

2017

CCMS: A nonlinear clustering method based on crowd movement and selection.

Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Jian-Bo Liu, Dong Huang

Neurocomputing, 2017

Multi-view Unit Intact Space Learning.

Kun-Yu Lin, Chang-Dong Wang, Yu-Qin Meng, Zhi-Lin Zhao

Proceedings of the Knowledge Science, Engineering and Management, 2017

Missing Value Learning.

Zhi-Lin Zhao, Chang-Dong Wang, Kun-Yu Lin, Jian-Huang Lai

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

CSBD: A Nonlinear Clustering Method Based on Cluster Shrinking and Border Detection.

Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Dong Huang

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016