Dayan Guan

About Dayan Guan

Dayan Guan, With an exceptional h-index of 20 and a recent h-index of 20 (since 2020), a distinguished researcher at Nanyang Technological University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training

Efficient Test-Time Adaptation of Vision-Language Models

BenchLMM: Benchmarking cross-style visual capability of large multimodal models

Domain Adaptive LiDAR Point Cloud Segmentation with 3D Spatial Consistency

Noise-Tolerant Unsupervised Adapter for Vision-Language Models

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds

Unsupervised point cloud representation learning with deep neural networks: A survey

Class-Independent Regularization for Learning with Noisy Labels

Dayan Guan Information

University

Position

___

Citations(all)

1673

Citations(since 2020)

1665

Cited By

135

hIndex(all)

20

hIndex(since 2020)

20

i10Index(all)

22

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Top articles of Dayan Guan

Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training

IEEE Transactions on Intelligent Transportation Systems

2024/4/23

Efficient Test-Time Adaptation of Vision-Language Models

arXiv preprint arXiv:2403.18293

2024/3/27

BenchLMM: Benchmarking cross-style visual capability of large multimodal models

2023/11

Domain Adaptive LiDAR Point Cloud Segmentation with 3D Spatial Consistency

IEEE Transactions on Multimedia

2023/11/28

Noise-Tolerant Unsupervised Adapter for Vision-Language Models

arXiv preprint arXiv:2309.14928

2023/9/26

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds

2023

Unsupervised point cloud representation learning with deep neural networks: A survey

2023/3/29

Class-Independent Regularization for Learning with Noisy Labels

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation

2023/12/11

Masked Generative Adversarial Networks are Data-Efficient Generation Learners

2022/11

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

Advances in Neural Information Processing Systems

2022/12/1

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

European Conference on Computer Vision

2022/7/6

Transfer learning from synthetic to real lidar point cloud for semantic segmentation

Proceedings of the AAAI Conference on Artificial Intelligence

2022

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation

IEEE/CVF Conference on Computer Vision and Pattern Recognition

2022/6/21

Category contrast for unsupervised domain adaptation in visual tasks

IEEE/CVF Conference on Computer Vision and Pattern Recognition

2022/6/21

Multi-level adversarial network for domain adaptive semantic segmentation

Pattern Recognition

2022/3/1

Model adaptation: Historical contrastive learning for unsupervised domain adaptation without source data

Advances in Neural Information Processing Systems

2021/12/6

Semi-supervised domain adaptation via adaptive and progressive feature alignment

arXiv preprint arXiv:2106.02845

2021/6/5

FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation

ISPRS Journal of Photogrammetry and Remote Sensing

2021/6/1

Uncertainty-aware unsupervised domain adaptation in object detection

IEEE Transactions on Multimedia

2021/5/24

See List of Professors in Dayan Guan University(Nanyang Technological University)