Dayan Guan

Orcid: 0000-0001-9752-1520

According to our database¹, Dayan Guan authored at least 33 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Domain Adaptive LiDAR Point Cloud Segmentation With 3D Spatial Consistency.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Efficient Test-Time Adaptation of Vision-Language Models.

[BibT_eX]

[DOI]

Adilbek Karmanov

Dayan Guan

Shijian Lu

Abdulmotaleb El-Saddik

Eric P. Xing

CoRR, 2024

2023

Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey.

[BibT_eX]

[DOI]

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

BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models.

[BibT_eX]

[DOI]

CoRR, 2023

Noise-Tolerant Unsupervised Adapter for Vision-Language Models.

[BibT_eX]

[DOI]

Eman Ali

Dayan Guan

Shijian Lu

Abdulmotaleb Elsaddik

CoRR, 2023

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

[BibT_eX]

[DOI]

Abdulmotaleb El-Saddik

Shijian Lu

Eric P. Xing

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

Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Ninth IEEE Multimedia Big Data, 2023

Class-Independent Regularization for Learning with Noisy Labels.

[BibT_eX]

[DOI]

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

2022

Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Multi-level adversarial network for domain adaptive semantic segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Unsupervised Representation Learning for Point Clouds: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds.

[BibT_eX]

[DOI]

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

Masked Generative Adversarial Networks are Data-Efficient Generation Learners.

[BibT_eX]

[DOI]

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

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

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

Category Contrast for Unsupervised Domain Adaptation in Visual Tasks.

[BibT_eX]

[DOI]

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

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Scale variance minimization for unsupervised domain adaptation in image segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment.

[BibT_eX]

[DOI]

CoRR, 2021

MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Domain Adaptive Video Segmentation via Temporal Consistency Regularization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RDA: Robust Domain Adaptation via Fourier Adversarial Attacking.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cross-View Regularization for Domain Adaptive Panoptic Segmentation.

[BibT_eX]

[DOI]

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

FSDR: Frequency Space Domain Randomization for Domain Generalization.

[BibT_eX]

[DOI]

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

2020

Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Fusion of multispectral data through illumination-aware deep neural networks for pedestrian detection.

[BibT_eX]

[DOI]

Inf. Fusion, 2019

Pedestrian detection with unsupervised multispectral feature learning using deep neural networks.

[BibT_eX]

[DOI]

Inf. Fusion, 2019

Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Unsupervised Domain Adaptation for Multispectral Pedestrian Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection.

[BibT_eX]

[DOI]

CoRR, 2018

Dayan Guan

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...