Dayan Guan - RankMe

57 papers A* 13A 1Journal 38Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ContextualCoder: Adaptive In-Context Prompting for Programmatic Visual Question Answering. IEEE Trans. Multim. Ruoyue Shen, Nakamasa Inoue, Dayan Guan, Rizhao Cai, Alex C. Kot, Koichi Shinoda
2025	J	`jnl`	Distilling heterogeneous knowledge with aligned biological entities for histological image classification. Pattern Recognit. Kang Wang, Feiyang Zheng, Dayan Guan, Jia Liu, Jing Qin
2025	J	`jnl`	S2Match: Self-paced sampling for data-limited semi-supervised learning. Pattern Recognit. Dayan Guan, Yun Xing, Jiaxing Huang, Aoran Xiao, Abdulmotaleb El Saddik, Shijian Lu
2025	J	`jnl`	Zoom-Refine: Boosting High-Resolution Multimodal Understanding via Localized Zoom and Self-Refinement. CoRR Xuan Yu, Dayan Guan, Michael Ying Yang, Yanfeng Gu
2024	—	`conf`	BenchLMM: Benchmarking Cross-Style Visual Capability of Large Multimodal Models. ECCV (50) Rizhao Cai, Zirui Song, Dayan Guan, Zhenhao Chen, Yaohang Li, Xing Luo, Chenyu Yi, Alex C. Kot
2024	A	`conf`	Controllable and Gradual Facial Blemishes Retouching Via Physics-Based Modelling. ICME Chenhao Shuai, Rizhao Cai, Bandara Dissanayake, Amanda Newman, Dayan Guan, Dennis Sng, Ling Li, Alex C. Kot
2024	J	`jnl`	Controllable and Gradual Facial Blemishes Retouching via Physics-Based Modelling. CoRR Chenhao Shuai, Rizhao Cai, Bandara Dissanayake, Amanda Newman, Dayan Guan, Dennis Sng, Ling Li, Alex C. Kot
2024	J	`jnl`	Domain Adaptive LiDAR Point Cloud Segmentation With 3D Spatial Consistency. IEEE Trans. Multim. Aoran Xiao, Dayan Guan, Xiaoqin Zhang, Shijian Lu
2024	J	`jnl`	Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training. IEEE Trans. Intell. Transp. Syst. Aoran Xiao, Jiaxing Huang, Kangcheng Liu, Dayan Guan, Xiaoqin Zhang, Shijian Lu
2024	A*	`conf`	Efficient Test-Time Adaptation of Vision-Language Models. CVPR Adilbek Karmanov, Dayan Guan, Shijian Lu, Abdulmotaleb El Saddik, Eric P. Xing
2024	J	`jnl`	Efficient Test-Time Adaptation of Vision-Language Models. CoRR Adilbek Karmanov, Dayan Guan, Shijian Lu, Abdulmotaleb El Saddik, Eric P. Xing
2024	J	`jnl`	Open-vocabulary object detection via debiased curriculum self-training. Expert Syst. Appl. Hanlue Zhang, Dayan Guan, Xiangrui Ke, Abdulmotaleb El Saddik, Shijian Lu
2024	J	`jnl`	Rethinking the Evaluation of Visible and Infrared Image Fusion. CoRR Dayan Guan, Yixuan Wu, Tianzhu Liu, Alex C. Kot, Yanfeng Gu
2023	A*	`conf`	3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. CVPR Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El Saddik, Shijian Lu, Eric P. Xing
2023	J	`jnl`	3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. CoRR Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El Saddik, Shijian Lu, Eric P. Xing
2023	J	`jnl`	BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models. CoRR Rizhao Cai, Zirui Song, Dayan Guan, Zhenhao Chen, Xing Luo, Chenyu Yi, Alex C. Kot
2023	A*	`conf`	Class-Independent Regularization for Learning with Noisy Labels. AAAI Rumeng Yi, Dayan Guan, Yaping Huang, Shijian Lu
2023	J	`jnl`	Noise-Tolerant Unsupervised Adapter for Vision-Language Models. CoRR Eman Ali, Dayan Guan, Shijian Lu, Abdulmotaleb Elsaddik
2023	—	`conf`	Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation. BigMM Zunhao Zhang, Zhenhao Chen, Yifan Shen, Dayan Guan, Alex C. Kot
2023	J	`jnl`	Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Aoran Xiao, Jiaxing Huang, Dayan Guan, Xiaoqin Zhang, Shijian Lu, Ling Shao
2022	A*	`conf`	Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. CVPR Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao
2022	—	`conf`	Domain Adaptive Video Segmentation via Temporal Pseudo Supervision. ECCV (30) Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu
2022	J	`jnl`	Domain Adaptive Video Segmentation via Temporal Pseudo Supervision. CoRR Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu
2022	A*	`conf`	Masked Generative Adversarial Networks are Data-Efficient Generation Learners. NeurIPS Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, Shengcai Liao, Eric P. Xing
2022	J	`jnl`	Multi-level adversarial network for domain adaptive semantic segmentation. Pattern Recognit. Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
2022	A*	`conf`	PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. NeurIPS Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao
2022	J	`jnl`	PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. CoRR Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao
2022	A*	`conf`	Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation. AAAI Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu
2022	A*	`conf`	Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation. CVPR Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu
2022	J	`jnl`	Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation. CoRR Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu
2022	J	`jnl`	Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection. IEEE Trans. Multim. Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu, Yanpeng Cao
2022	J	`jnl`	Unsupervised Representation Learning for Point Clouds: A Survey. CoRR Aoran Xiao, Jiaxing Huang, Dayan Guan, Shijian Lu
2021	J	`jnl`	Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. CoRR Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao
2021	A*	`conf`	Cross-View Regularization for Domain Adaptive Panoptic Segmentation. CVPR Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
2021	J	`jnl`	Cross-View Regularization for Domain Adaptive Panoptic Segmentation. CoRR Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
2021	A*	`conf`	Domain Adaptive Video Segmentation via Temporal Consistency Regularization. ICCV Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu
2021	J	`jnl`	Domain Adaptive Video Segmentation via Temporal Consistency Regularization. CoRR Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu
2021	J	`jnl`	FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation. CoRR Aoran Xiao, Xiaofei Yang, Shijian Lu, Dayan Guan, Jiaxing Huang
2021	A*	`conf`	FSDR: Frequency Space Domain Randomization for Domain Generalization. CVPR Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
2021	J	`jnl`	FSDR: Frequency Space Domain Randomization for Domain Generalization. CoRR Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
2021	J	`jnl`	MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation. CoRR Jiaxing Huang, Dayan Guan, Shijian Lu, Aoran Xiao
2021	A*	`conf`	Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data. NeurIPS Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
2021	J	`jnl`	Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data. CoRR Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
2021	A*	`conf`	RDA: Robust Domain Adaptation via Fourier Adversarial Attacking. ICCV Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
2021	J	`jnl`	RDA: Robust Domain Adaptation via Fourier Adversarial Attacking. CoRR Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
2021	J	`jnl`	Scale variance minimization for unsupervised domain adaptation in image segmentation. Pattern Recognit. Dayan Guan, Jiaxing Huang, Shijian Lu, Aoran Xiao
2021	J	`jnl`	Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment. CoRR Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
2021	J	`jnl`	SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation. CoRR Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu
2021	J	`jnl`	Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection. CoRR Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu, Yanpeng Cao
2020	—	`conf`	Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation. ECCV (15) Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang
2020	J	`jnl`	Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation. CoRR Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang
2019	J	`jnl`	Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection. CoRR Yanpeng Cao, Dayan Guan, Yulun Wu, Jiangxin Yang, Yanlong Cao, Michael Ying Yang
2019	J	`jnl`	Fusion of multispectral data through illumination-aware deep neural networks for pedestrian detection. Inf. Fusion Dayan Guan, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Michael Ying Yang
2019	J	`jnl`	Pedestrian detection with unsupervised multispectral feature learning using deep neural networks. Inf. Fusion Yanpeng Cao, Dayan Guan, Weilin Huang, Jiangxin Yang, Yanlong Cao, Yu Qiao
2019	—	`conf`	Unsupervised Domain Adaptation for Multispectral Pedestrian Detection. CVPR Workshops Dayan Guan, Xing Luo, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, Michael Ying Yang
2019	J	`jnl`	Unsupervised Domain Adaptation for Multispectral Pedestrian Detection. CoRR Dayan Guan, Xing Luo, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, Michael Ying Yang
2018	J	`jnl`	Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection. CoRR Dayan Guan, Yanpeng Cao, Jun Liang, Yanlong Cao, Michael Ying Yang