Dayan Guan

According to our database, Dayan Guan authored at least 39 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

S2Match: Self-paced sampling for data-limited semi-supervised learning.

Dayan Guan, Yun Xing, Jiaxing Huang, Aoran Xiao, Abdulmotaleb El-Saddik, Shijian Lu

Pattern Recognit., 2025

2024

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

Aoran Xiao, Jiaxing Huang, Kangcheng Liu, Dayan Guan, Xiaoqin Zhang, Shijian Lu

IEEE Trans. Intell. Transp. Syst., October, 2024

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

Aoran Xiao, Dayan Guan, Xiaoqin Zhang, Shijian Lu

IEEE Trans. Multim., 2024

Open-vocabulary object detection via debiased curriculum self-training.

Hanlue Zhang, Dayan Guan, Xiangrui Ke, Abdulmotaleb El-Saddik, Shijian Lu

Expert Syst. Appl., 2024

Rethinking the Evaluation of Visible and Infrared Image Fusion.

Dayan Guan, Yixuan Wu, Tianzhu Liu, Alex C. Kot, Yanfeng Gu

CoRR, 2024

Controllable and Gradual Facial Blemishes Retouching Via Physics-Based Modelling.

Chenhao Shuai, Rizhao Cai, Bandara Dissanayake, Amanda Newman, Dayan Guan, Dennis Sng, Ling Li, Alex C. Kot

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

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

Rizhao Cai, Zirui Song, Dayan Guan, Zhenhao Chen, Yaohang Li, Xing Luo, Chenyu Yi, Alex C. Kot

Proceedings of the Computer Vision - ECCV 2024, 2024

Efficient Test-Time Adaptation of Vision-Language Models.

Adilbek Karmanov, Dayan Guan, Shijian Lu, Abdulmotaleb El-Saddik, Eric P. Xing

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Aoran Xiao, Jiaxing Huang, Dayan Guan, Xiaoqin Zhang, Shijian Lu, Ling Shao

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

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

Rizhao Cai, Zirui Song, Dayan Guan, Zhenhao Chen, Xing Luo, Chenyu Yi, Alex C. Kot

CoRR, 2023

Noise-Tolerant Unsupervised Adapter for Vision-Language Models.

Eman Ali, Dayan Guan, Shijian Lu, Abdulmotaleb Elsaddik

CoRR, 2023

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

Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, 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.

Zunhao Zhang, Zhenhao Chen, Yifan Shen, Dayan Guan, Alex C. Kot

Proceedings of the Ninth IEEE Multimedia Big Data, 2023

Class-Independent Regularization for Learning with Noisy Labels.

Rumeng Yi, Dayan Guan, Yaping Huang, Shijian Lu

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

2022

Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection.

Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu, Yanpeng Cao

IEEE Trans. Multim., 2022

Multi-level adversarial network for domain adaptive semantic segmentation.

Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu

Pattern Recognit., 2022

Unsupervised Representation Learning for Point Clouds: A Survey.

Aoran Xiao, Jiaxing Huang, Dayan Guan, Shijian Lu

CoRR, 2022

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

Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao

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.

Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, Shengcai Liao, Eric P. Xing

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.

Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu

Proceedings of the Computer Vision - ECCV 2022, 2022

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation.

Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu

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

Category Contrast for Unsupervised Domain Adaptation in Visual Tasks.

Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao

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.

Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu

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

2021

Scale variance minimization for unsupervised domain adaptation in image segmentation.

Dayan Guan, Jiaxing Huang, Shijian Lu, Aoran Xiao

Pattern Recognit., 2021

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

Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu

CoRR, 2021

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

Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu

CoRR, 2021

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

Jiaxing Huang, Dayan Guan, Shijian Lu, Aoran Xiao

CoRR, 2021

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

Aoran Xiao, Xiaofei Yang, Shijian Lu, Dayan Guan, Jiaxing Huang

CoRR, 2021

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

Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu

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.

Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu

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

RDA: Robust Domain Adaptation via Fourier Adversarial Attacking.

Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu

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

Cross-View Regularization for Domain Adaptive Panoptic Segmentation.

Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu

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

FSDR: Frequency Space Domain Randomization for Domain Generalization.

Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu

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

2020

Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation.

Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

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

Dayan Guan, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Michael Ying Yang

Inf. Fusion, 2019

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

Yanpeng Cao, Dayan Guan, Weilin Huang, Jiangxin Yang, Yanlong Cao, Yu Qiao

Inf. Fusion, 2019

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

Yanpeng Cao, Dayan Guan, Yulun Wu, Jiangxin Yang, Yanlong Cao, Michael Ying Yang

CoRR, 2019

Unsupervised Domain Adaptation for Multispectral Pedestrian Detection.

Dayan Guan, Xing Luo, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, Michael Ying Yang

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.

Dayan Guan, Yanpeng Cao, Jun Liang, Yanlong Cao, Michael Ying Yang

CoRR, 2018