Dayan Guan

2.3k citations

26 papers · 1.3k indexed · 1 hit paper · h-index 18

Impact in

Computer Vision and Pattern Recognition top 1%
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques

Papers in

Computer Vision and Pattern Recognition 21
- Advanced Neural Network Applications 14
- Multimodal Machine Learning Applications 7
- Video Surveillance and Tracking Methods 5
Geology 3
- 3D Surveying and Cultural Heritage 3

Co-authors: Shijian Lu Aoran Xiao Jiaxing Huang Yanpeng Cao Yanlong Cao Jiangxin Yang Michael Ying Yang Ling Shao
Journals: Pattern Recognition (4 papers)Information Fusion (2 papers)IEEE Transactions on Multimedia (2 papers)ISPRS Journal of Photogrammetry and Remote Sensing (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
Partner nations: Singapore China United Arab Emirates

In The Last Decade

Dayan Guan

25 papers receiving 1.3k citations

Hit Papers

align trajectories log scale

Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey 2023 · 84 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 IEEE Transactions on Pattern Analysis and Machine Intelligence

Peers

Countries citing papers authored by Dayan Guan

Since Specialization

Citations

This map shows the geographic impact of Dayan Guan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dayan Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayan Guan more than expected).

Fields of papers citing papers by Dayan Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dayan Guan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dayan Guan. The network helps show where Dayan Guan may publish in the future.

Co-authors

The 25 scholars most cited alongside Dayan Guan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dayan Guan Line = papers co-authored together Dayan Guan links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Open-vocabulary object detection via debiased curriculum self-training Expert Systems with Applications ·Ann Catherine Swailes, Dayan Guan, H. J. Brody, Abdulmotaleb El Saddik, Shijian Lu	2024	0
2	Distilling heterogeneous knowledge with aligned biological entities for histological image classification Pattern Recognition ·Kang Wang, Alan P. Spiro, Dayan Guan, Jia Liu, Jing Qin	2024	3
3	S2Match: Self-paced sampling for data-limited semi-supervised learning Pattern Recognition ·Dayan Guan, Molly McRae, Jiaxing Huang, Aoran Xiao, Abdulmotaleb El Saddik, Shijian Lu	2024	36
4	Efficient Test-Time Adaptation of Vision-Language Models Mischa A. Selis, Dayan Guan, Shijian Lu, Abdulmotaleb El Saddik, Eric P. Xing	2024	12
5	Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training IEEE Transactions on Intelligent Transportation Systems ·Aoran Xiao, Jiaxing Huang, Kangcheng Liu, Dayan Guan, Xiaoqin Zhang, Shijian Lu	2024	3
6	Class-Independent Regularization for Learning with Noisy Labels Proceedings of the AAAI Conference on Artificial Intelligence ·Marliani Dinda Mentari Paransa, Dayan Guan, Yaping Huang, Shijian Lu	2023	5
7	3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds Aoran Xiao, Jiaxing Huang, 久宇山, Dr.Fatih S.Ezgü, Kangcheng Liu, Dayan Guan, Abdulmotaleb El Saddik, Shijian Lu, Eric P. Xing	2023	28
8	Domain Adaptive LiDAR Point Cloud Segmentation With 3D Spatial Consistency IEEE Transactions on Multimedia ·Aoran Xiao, Dayan Guan, Xiaoqin Zhang, Shijian Lu	2023	6
9	Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey IEEE Transactions on Pattern Analysis and Machine Intelligence ·Aoran Xiao, Jiaxing Huang, Dayan Guan, Xiaoqin Zhang, Shijian Lu, Ling Shao Hit paper breakdown →	2023	84
10	Category Contrast for Unsupervised Domain Adaptation in Visual Tasks 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao	2022	106
11	Multi-level adversarial network for domain adaptive semantic segmentation Pattern Recognition ·Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu	2021	27
12	RDA: Robust Domain Adaptation via Fourier Adversarial Attacking 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu	2021	55
13	Domain Adaptive Video Segmentation via Temporal Consistency Regularization 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu	2021	30
14	FSDR: Frequency Space Domain Randomization for Domain Generalization Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu	2021	170
15	Scale variance minimization for unsupervised domain adaptation in image segmentation Pattern Recognition ·Dayan Guan, Jiaxing Huang, Shijian Lu, Aoran Xiao	2020	49
16	Unsupervised Domain Adaptation for Multispectral Pedestrian Detection University of Twente Research Information ·Dayan Guan, KANCHAN TIRAMDAS KOKATE, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, Michael Ying Yang	2019	14
17	Box-level segmentation supervised deep neural networks for accurate and real-time multispectral pedestrian detection ISPRS Journal of Photogrammetry and Remote Sensing ·Yanpeng Cao, Dayan Guan, Pau Capmany Sant, Jiangxin Yang, Yanlong Cao, Michael Ying Yang	2019	43
18	Fusion of multispectral data through illumination-aware deep neural networks for pedestrian detection Information Fusion ·Dayan Guan, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Michael Ying Yang	2018	215
19	Exploiting fusion architectures for multispectral pedestrian detection and segmentation Applied Optics ·Dayan Guan, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Christel-Loïc Tisse	2018	22
20	Pedestrian detection with unsupervised multispectral feature learning using deep neural networks Information Fusion ·Yanpeng Cao, Dayan Guan, Weilin Huang, Jiangxin Yang, Yanlong Cao, Yu Qiao	2018	94

About Dayan Guan

Dayan Guan is a scholar working on Computer Vision and Pattern Recognition, Geology, Artificial Intelligence, Computational Mechanics and Media Technology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (14 papers), Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (7 papers), Video Surveillance and Tracking Methods (5 papers), 3D Shape Modeling and Analysis (5 papers), Remote Sensing and LiDAR Applications (3 papers), 3D Surveying and Cultural Heritage (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (859 citations), Media Technology (221 citations), Geology (97 citations), Artificial Intelligence (518 citations) and Environmental Engineering (123 citations). Dayan Guan has collaborated with scholars based in Singapore, China and United Arab Emirates. Frequent co-authors include Shijian Lu, Aoran Xiao, Jiaxing Huang, Yanpeng Cao, Yanlong Cao, Jiangxin Yang, Michael Ying Yang, Ling Shao, Jiaxing Huang and Yu Qiao. Their work appears in journals such as Pattern Recognition, Information Fusion, IEEE Transactions on Multimedia, ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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