Kun-Yu Lin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 38

Top Topics

Instructional Videos

Weakly Supervised Learning

Outlier Detection

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

IEEE Trans. Multim.

Publications

Jiaming Zhou, Kun-Yu Lin, Yukun Qiu, Wei-Shi Zheng
TwinFormer: Fine-to-Coarse Temporal Modeling for Long-Term Action Recognition. IEEE Trans. Multim. 26 (2024)
Jiaming Zhou, Junwei Liang, Kun-Yu Lin, Jinrui Yang, Wei-Shi Zheng
ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition. CoRR (2024)
Kun-Yu Lin, Jiaming Zhou, Wei-Shi Zheng
Human-Centric Transformer for Domain Adaptive Action Recognition. CoRR (2024)
Jiaming Zhou, Teli Ma, Kun-Yu Lin, Ronghe Qiu, Zifan Wang, Junwei Liang
Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation. CoRR (2024)
Yi-Xing Peng, Yu-Ming Tang, Kun-Yu Lin, Wei-Shi Zheng
Generalized Intra-Camera Supervised Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 34 (6) (2024)
Kun-Yu Lin, Henghui Ding, Jiaming Zhou, Yi-Xing Peng, Zhilin Zhao, Chen Change Loy, Wei-Shi Zheng
Rethinking CLIP-based Video Learners in Cross-Domain Open-Vocabulary Action Recognition. CoRR (2024)
Zhilin Zhao, Longbing Cao, Kun-Yu Lin
Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Zelin Chen, Kun-Yu Lin, Wei-Shi Zheng
Consistent Intra-Video Contrastive Learning With Asynchronous Long-Term Memory Bank. IEEE Trans. Circuits Syst. Video Technol. 33 (3) (2023)
Kun-Yu Lin, Jia-Run Du, Yipeng Gao, Jiaming Zhou, Wei-Shi Zheng
Diversifying Spatial-Temporal Perception for Video Domain Generalization. NeurIPS (2023)
An-Lan Wang, Kun-Yu Lin, Jia-Run Du, Jingke Meng, Wei-Shi Zheng
Event-Guided Procedure Planning from Instructional Videos with Text Supervision. CoRR (2023)
Zuhao Liu, Xiao-Ming Wu, Dian Zheng, Kun-Yu Lin, Wei-Shi Zheng
Generating Anomalies for Video Anomaly Detection with Prompt-based Feature Mapping. CVPR (2023)
Kun-Yu Lin, Jia-Run Du, Yipeng Gao, Jiaming Zhou, Wei-Shi Zheng
Diversifying Spatial-Temporal Perception for Video Domain Generalization. CoRR (2023)
Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Jiayu Jiao, Yu-Ming Tang, Kun-Yu Lin, Yipeng Gao, Andy J. Ma, Yaowei Wang, Wei-Shi Zheng
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition. IEEE Trans. Multim. 25 (2023)
Jiayu Jiao, Yu-Ming Tang, Kun-Yu Lin, Yipeng Gao, Jinhua Ma, Yaowei Wang, Wei-Shi Zheng
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition. CoRR (2023)
Yipeng Gao, Kun-Yu Lin, Junkai Yan, Yaowei Wang, Wei-Shi Zheng
AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection. CVPR (2023)
Kun-Yu Lin, Pei-Yi Liu, Po-Kai Wang, Chih-Lin Hu, Ying Cai
Predicting Road Traffic Risks with CNN-and-LSTM Learning Over Spatio-Temporal and Multi-Feature Traffic Data. SSE (2023)
Jiaming Zhou, Hanjun Li, Kun-Yu Lin, Junwei Liang
AdaFocus: Towards End-to-end Weakly Supervised Learning for Long-Video Action Understanding. CoRR (2023)
Chih-Lin Hu, Kun-Yu Lin, Carl K. Chang
Incentive Mechanism for Mobile Crowdsensing With Two-Stage Stackelberg Game. IEEE Trans. Serv. Comput. 16 (3) (2023)
An-Lan Wang, Kun-Yu Lin, Jia-Run Du, Jingke Meng, Wei-Shi Zheng
Event-Guided Procedure Planning from Instructional Videos with Text Supervision. ICCV (2023)
Kun-Yu Lin, Jiaming Zhou, Yukun Qiu, Wei-Shi Zheng
Adversarial Partial Domain Adaptation by Cycle Inconsistency. ECCV (33) (2022)
Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu
Node Pair Information Preserving Network Embedding Based on Adversarial Networks. IEEE Trans. Cybern. 52 (7) (2022)
Zhilin Zhao, Longbing Cao, Kun-Yu Lin
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data. CoRR (2022)
Zhilin Zhao, Longbing Cao, Kun-Yu Lin
Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection. CoRR (2022)
Sheng-Zhi Huang, Kun-Yu Lin, Chin-Lin Hu
Intelligent task migration with deep Qlearning in multi-access edge computing. IET Commun. 16 (11) (2022)
Jiaming Zhou, Kun-Yu Lin, Haoxin Li, Wei-Shi Zheng
Graph-Based High-Order Relation Modeling for Long-Term Action Recognition. CVPR (2021)
Zhilin Zhao, Longbing Cao, Kun-Yu Lin
Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators. CoRR (2021)
Wei-Hsu Chang, Kun-Yu Lin, Chun-Ching Lee, Li-Di Lo, Jenn-Yu Lin, Ta-Yung Yang
18.5 ZVS Flyback-Converter ICs Optimizing USB Power Delivery for Fast-Charging Mobile Devices to Achieve 93.5% Efficiency. ISSCC (2020)
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
Highly Integrated ZVS Flyback Converter ICs With Pulse Transformer to Optimize USB Power Delivery for Fast-Charging Mobile Devices. IEEE J. Solid State Circuits 55 (12) (2020)
Yi-Ming Wen, Ling Huang, Chang-Dong Wang, Kun-Yu Lin
Direction recovery in undirected social networks based on community structure and popularity. Inf. Sci. 473 (2019)
Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, Kun-Yu Lin
Multi-view Outlier Detection in Deep Intact Space. ICDM (2019)
Been-Chain Chien, Kun-Yu Lin
Analysis of Retrieving Publications with Multiple Citation Networks. MISNC (2018)
Kun-Yu Lin, Ling Huang, Chang-Dong Wang, Hong-Yang Chao
Multi-view Proximity Learning for Clustering. DASFAA (2) (2018)
Yi-Ming Wen, Chang-Dong Wang, Kun-Yu Lin
Direction Recovery in Undirected Social Networks Based on Community Structure and Popularity. DASFAA (1) (2018)
Kun-Yu Lin, Chang-Dong Wang, Yu-Qin Meng, Zhi-Lin Zhao
Multi-view Unit Intact Space Learning. KSEM (2017)
Zhi-Lin Zhao, Chang-Dong Wang, Kun-Yu Lin, Jian-Huang Lai
Missing Value Learning. CIKM (2017)
Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Jian-Bo Liu, Dong Huang
CCMS: A nonlinear clustering method based on crowd movement and selection. Neurocomputing 269 (2017)
Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Dong Huang
CSBD: A Nonlinear Clustering Method Based on Cluster Shrinking and Border Detection. Trustcom/BigDataSE/ISPA (2016)