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)

Unsupervised Domain Adaptation for Multispectral Pedestrian Detection. - Dayan Guan; Xing Luo; Yanpeng Cao; Jiangxin Yang; Yanlong Cao; George Vosselman; Michael Ying Yang (CVPR Workshops, 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)

Pedestrian detection with unsupervised multispectral feature learning using deep neural networks. - Yanpeng Cao; Dayan Guan; Weilin Huang; Jiangxin Yang; Yanlong Cao; Yu Qiao 001 (Inf. Fusion, 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)

Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation. - Jiaxing Huang 001; Shijian Lu; Dayan Guan; Xiaobing Zhang (ECCV (15), 2020)

FSDR: Frequency Space Domain Randomization for Domain Generalization. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (CVPR, 2021)

Cross-View Regularization for Domain Adaptive Panoptic Segmentation. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (CVPR, 2021)

RDA: Robust Domain Adaptation via Fourier Adversarial Attacking. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (ICCV, 2021)

Domain Adaptive Video Segmentation via Temporal Consistency Regularization. - Dayan Guan; Jiaxing Huang 001; Aoran Xiao; Shijian Lu (ICCV, 2021)

Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (NeurIPS, 2021)

FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation. - Aoran Xiao; Xiaofei Yang; Shijian Lu; Dayan Guan; Jiaxing Huang 001 (CoRR, 2021)

MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation. - Jiaxing Huang 001; Dayan Guan; Shijian Lu; Aoran Xiao (CoRR, 2021)

Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (CoRR, 2021)

SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation. - Aoran Xiao; Jiaxing Huang 001; Dayan Guan; Fangneng Zhan; Shijian Lu (CoRR, 2021)

Scale variance minimization for unsupervised domain adaptation in image segmentation. - Dayan Guan; Jiaxing Huang 001; Shijian Lu; Aoran Xiao (Pattern Recognit., 2021)

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation. - Aoran Xiao; Jiaxing Huang 001; Dayan Guan; Fangneng Zhan; Shijian Lu (AAAI, 2022)

Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu; Ling Shao 001 (CVPR, 2022)

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation. - Dayan Guan; Jiaxing Huang 001; Aoran Xiao; Shijian Lu (CVPR, 2022)

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision. - Yun Xing 001; Dayan Guan; Jiaxing Huang 001; Shijian Lu (ECCV (30), 2022)

Masked Generative Adversarial Networks are Data-Efficient Generation Learners. - Jiaxing Huang 001; Kaiwen Cui; Dayan Guan; Aoran Xiao; Fangneng Zhan; Shijian Lu; Shengcai Liao; Eric P. Xing (NeurIPS, 2022)

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. - Aoran Xiao; Jiaxing Huang 001; Dayan Guan; Kaiwen Cui; Shijian Lu; Ling Shao 001 (NeurIPS, 2022)

Unsupervised Representation Learning for Point Clouds: A Survey. - Aoran Xiao; Jiaxing Huang 001; Dayan Guan; Shijian Lu (CoRR, 2022)

Multi-level adversarial network for domain adaptive semantic segmentation. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (Pattern Recognit., 2022)

Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection. - Dayan Guan; Jiaxing Huang 001; Aoran Xiao; Shijian Lu; Yanpeng Cao (IEEE Trans. Multim., 2022)

Class-Independent Regularization for Learning with Noisy Labels. - Rumeng Yi; Dayan Guan; Yaping Huang; Shijian Lu (AAAI, 2023)

Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation. - Zunhao Zhang; Zhenhao Chen; Yifan Shen 004; Dayan Guan; Alex C. Kot (BigMM, 2023)

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. - Aoran Xiao; Jiaxing Huang 001; Weihao Xuan; Ruijie Ren; Kangcheng Liu; Dayan Guan; Abdulmotaleb El-Saddik; Shijian Lu; Eric P. Xing (CVPR, 2023)

Noise-Tolerant Unsupervised Adapter for Vision-Language Models. - Eman Ali; Dayan Guan; Shijian Lu; Abdulmotaleb Elsaddik (CoRR, 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)

Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey. - Aoran Xiao; Jiaxing Huang 001; Dayan Guan; Xiaoqin Zhang 002; Shijian Lu; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Efficient Test-Time Adaptation of Vision-Language Models. - Adilbek Karmanov; Dayan Guan; Shijian Lu; Abdulmotaleb El-Saddik; Eric P. Xing (CVPR, 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 (ECCV (50), 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 012; Alex C. Kot (ICME, 2024)

Rethinking the Evaluation of Visible and Infrared Image Fusion. - Dayan Guan; Yixuan Wu; Tianzhu Liu; Alex C. Kot; Yanfeng Gu (CoRR, 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)

Domain Adaptive LiDAR Point Cloud Segmentation With 3D Spatial Consistency. - Aoran Xiao; Dayan Guan; Xiaoqin Zhang 002; Shijian Lu (IEEE Trans. Multim., 2024)

Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training. - Aoran Xiao; Jiaxing Huang 001; Kangcheng Liu; Dayan Guan; Xiaoqin Zhang 002; Shijian Lu (IEEE Trans. Intell. Transp. Syst., 2024)

S2Match: Self-paced sampling for data-limited semi-supervised learning. - Dayan Guan; Yun Xing 001; Jiaxing Huang 001; Aoran Xiao; Abdulmotaleb El-Saddik; Shijian Lu (Pattern Recognit., 2025)

Distilling heterogeneous knowledge with aligned biological entities for histological image classification. - Kang Wang 004; Feiyang Zheng; Dayan Guan; Jia Liu; Jing Qin 001 (Pattern Recognit., 2025)

Zoom-Refine: Boosting High-Resolution Multimodal Understanding via Localized Zoom and Self-Refinement. - Xuan Yu; Dayan Guan; Michael Ying Yang; Yanfeng Gu (CoRR, 2025)