Dayan Guan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 48

Top Topics

Top Venues

Publications

Hanlue Zhang, Dayan Guan, Xiangrui Ke, Abdulmotaleb El-Saddik, Shijian Lu
Open-vocabulary object detection via debiased curriculum self-training. Expert Syst. Appl. 255 (2024)
Adilbek Karmanov, Dayan Guan, Shijian Lu, Abdulmotaleb El-Saddik, Eric P. Xing
Efficient Test-Time Adaptation of Vision-Language Models. CoRR (2024)
Chenhao Shuai, Rizhao Cai, Bandara Dissanayake, Amanda Newman, Dayan Guan, Dennis Sng, Ling Li, Alex C. Kot
Controllable and Gradual Facial Blemishes Retouching via Physics-Based Modelling. CoRR (2024)
Aoran Xiao, Dayan Guan, Xiaoqin Zhang, Shijian Lu
Domain Adaptive LiDAR Point Cloud Segmentation With 3D Spatial Consistency. IEEE Trans. Multim. 26 (2024)
Rumeng Yi, Dayan Guan, Yaping Huang, Shijian Lu
Class-Independent Regularization for Learning with Noisy Labels. AAAI (2023)
Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El-Saddik, Shijian Lu, Eric P. Xing
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. CoRR (2023)
Eman Ali, Dayan Guan, Shijian Lu, Abdulmotaleb Elsaddik
Noise-Tolerant Unsupervised Adapter for Vision-Language Models. CoRR (2023)
Zunhao Zhang, Zhenhao Chen, Yifan Shen, Dayan Guan, Alex C. Kot
Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation. BigMM (2023)
Rizhao Cai, Zirui Song, Dayan Guan, Zhenhao Chen, Xing Luo, Chenyu Yi, Alex C. Kot
BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models. CoRR (2023)
Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El-Saddik, Shijian Lu, Eric P. Xing
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. CVPR (2023)
Aoran Xiao, Jiaxing Huang, Dayan Guan, Xiaoqin Zhang, Shijian Lu, Ling Shao
Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation. AAAI (2022)
Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, Shengcai Liao, Eric Xing
Masked Generative Adversarial Networks are Data-Efficient Generation Learners. NeurIPS (2022)
Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. NeurIPS (2022)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. CVPR (2022)
Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. CoRR (2022)
Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation. CVPR (2022)
Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision. CoRR (2022)
Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision. ECCV (30) (2022)
Aoran Xiao, Jiaxing Huang, Dayan Guan, Shijian Lu
Unsupervised Representation Learning for Point Clouds: A Survey. CoRR (2022)
Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation. CoRR (2022)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
Multi-level adversarial network for domain adaptive semantic segmentation. Pattern Recognit. 123 (2022)
Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu, Yanpeng Cao
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection. IEEE Trans. Multim. 24 (2022)
Dayan Guan, Jiaxing Huang, Shijian Lu, Aoran Xiao
Scale variance minimization for unsupervised domain adaptation in image segmentation. Pattern Recognit. 112 (2021)
Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu
Domain Adaptive Video Segmentation via Temporal Consistency Regularization. CoRR (2021)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
FSDR: Frequency Space Domain Randomization for Domain Generalization. CoRR (2021)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking. ICCV (2021)
Aoran Xiao, Xiaofei Yang, Shijian Lu, Dayan Guan, Jiaxing Huang
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation. CoRR (2021)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
Cross-View Regularization for Domain Adaptive Panoptic Segmentation. CoRR (2021)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. CoRR (2021)
Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu
Domain Adaptive Video Segmentation via Temporal Consistency Regularization. ICCV (2021)
Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu, Yanpeng Cao
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection. CoRR (2021)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data. NeurIPS (2021)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking. CoRR (2021)
Jiaxing Huang, Dayan Guan, Shijian Lu, Aoran Xiao
MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation. CoRR (2021)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment. CoRR (2021)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
FSDR: Frequency Space Domain Randomization for Domain Generalization. CVPR (2021)
Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu
SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation. CoRR (2021)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data. CoRR (2021)
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
Cross-View Regularization for Domain Adaptive Panoptic Segmentation. CVPR (2021)
Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation. CoRR (2020)
Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation. ECCV (15) (2020)
Dayan Guan, Xing Luo, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, Michael Ying Yang
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection. CVPR Workshops (2019)
Dayan Guan, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Michael Ying Yang
Fusion of multispectral data through illumination-aware deep neural networks for pedestrian detection. Inf. Fusion 50 (2019)
Dayan Guan, Xing Luo, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, Michael Ying Yang
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection. CoRR (2019)
Yanpeng Cao, Dayan Guan, Weilin Huang, Jiangxin Yang, Yanlong Cao, Yu Qiao
Pedestrian detection with unsupervised multispectral feature learning using deep neural networks. Inf. Fusion 46 (2019)
Yanpeng Cao, Dayan Guan, Yulun Wu, Jiangxin Yang, Yanlong Cao, Michael Ying Yang
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection. CoRR (2019)
Dayan Guan, Yanpeng Cao, Jun Liang, Yanlong Cao, Michael Ying Yang
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection. CoRR (2018)