Kun-Yu Lin

Orcid: 0000-0002-0013-3730

According to our database1, Kun-Yu Lin authored at least 32 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Rethinking CLIP-based Video Learners in Cross-Domain Open-Vocabulary Action Recognition.
CoRR, 2024

ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition.
CoRR, 2024

2023
Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Revealing the Distributional Vulnerability of Discriminators by Implicit Generators.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Consistent Intra-Video Contrastive Learning With Asynchronous Long-Term Memory Bank.
IEEE Trans. Circuits Syst. Video Technol., March, 2023

Incentive Mechanism for Mobile Crowdsensing With Two-Stage Stackelberg Game.
IEEE Trans. Serv. Comput., 2023

DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition.
IEEE Trans. Multim., 2023

AdaFocus: Towards End-to-end Weakly Supervised Learning for Long-Video Action Understanding.
CoRR, 2023

DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition.
CoRR, 2023

Diversifying Spatial-Temporal Perception for Video Domain Generalization.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generating Anomalies for Video Anomaly Detection with Prompt-based Feature Mapping.
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.
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.
Proceedings of the IEEE International Conference on Software Services Engineering, 2023

2022
Node Pair Information Preserving Network Embedding Based on Adversarial Networks.
IEEE Trans. Cybern., 2022

Intelligent task migration with deep Qlearning in multi-access edge computing.
IET Commun., 2022

Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data.
CoRR, 2022

Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection.
CoRR, 2022

Adversarial Partial Domain Adaptation by Cycle Inconsistency.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators.
CoRR, 2021

Graph-Based High-Order Relation Modeling for Long-Term Action Recognition.
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.
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.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020

2019
Direction recovery in undirected social networks based on community structure and popularity.
Inf. Sci., 2019

Multi-view Outlier Detection in Deep Intact Space.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Analysis of Retrieving Publications with Multiple Citation Networks.
Proceedings of the 5th Multidisciplinary International Social Networks Conference, 2018

Direction Recovery in Undirected Social Networks Based on Community Structure and Popularity.
Proceedings of the Database Systems for Advanced Applications, 2018

Multi-view Proximity Learning for Clustering.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
CCMS: A nonlinear clustering method based on crowd movement and selection.
Neurocomputing, 2017

Multi-view Unit Intact Space Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Missing Value Learning.
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.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016


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