Hai-Ming Xu

18 papers A* 5Misc 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning.
AAAI
Hai-Ming Xu, Qi Chen, Lei Wang, Lingqiao Liu
2025 J jnl
Web-CogReasoner: Towards Knowledge-Induced Cognitive Reasoning for Web Agents.
CoRR
Yuhan Guo, Cong Guo, Aiwen Sun, Hongliang He, Xinyu Yang, Yue Lu, Yingji Zhang, Xuntao Guo, Dong Zhang, Jianzhuang Liu, Jiang Duan, Yijia Xiao, Liangjian Wen, Hai-Ming Xu, Yong Dai
2025 J jnl
mmGEBLUP: an advanced genomic prediction scheme for genetic improvement of complex traits in crops through integrative analysis of major genes, polygenes, and genotype-environment interactions.
Briefings Bioinform.
Qi-Xin Zhang, Tianneng Zhu, Feng Lin, Dunhuang Fang, Xuejun Chen, Xiangyang Lou, Zhijun Tong, Bingguang Xiao, Hai-Ming Xu
2024 J jnl
Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-Tuning.
CoRR
Hai-Ming Xu, Qi Chen, Lei Wang, Lingqiao Liu
2024 A* conf
Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors.
CVPR
Ziqin Zhou, Hai-Ming Xu, Yangyang Shu, Lingqiao Liu
2023 A* conf
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families.
ICCV
Jiahao Chang, Shuo Wang, Hai-Ming Xu, Zehui Chen, Chenhongyi Yang, Feng Zhao
2023 — conf
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models.
ICCV (Workshops)
Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix
2023 J jnl
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models.
CoRR
Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix
2023 A* conf
ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation.
ICCV
Pin Tang, Hai-Ming Xu, Chao Ma
2023 A* conf
Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View.
CVPR
Shuo Wang, Xinhai Zhao, Hai-Ming Xu, Zehui Chen, Dameng Yu, Jiahao Chang, Zhen Yang, Feng Zhao
2023 J jnl
Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View.
CoRR
Shuo Wang, Xinhai Zhao, Hai-Ming Xu, Zehui Chen, Dameng Yu, Jiahao Chang, Zhen Yang, Feng Zhao
2022 J jnl
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism.
CoRR
Yangyang Shu, Baosheng Yu, Hai-Ming Xu, Lingqiao Liu
2022 — conf
Progressive Class Semantic Matching for Semi-supervised Text Classification.
NAACL-HLT
Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad
2022 J jnl
Progressive Class Semantic Matching for Semi-supervised Text Classification.
CoRR
Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad
2022 J jnl
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization.
CoRR
Hai-Ming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang
2022 J jnl
Two-stage Decision Improves Open-Set Panoptic Segmentation.
CoRR
Hai-Ming Xu, Hao Chen, Lingqiao Liu, Yufei Yin
2021 Misc conf
Semi-supervised Learning via Conditional Rotation Angle Estimation.
DICTA
Hai-Ming Xu, Lingqiao Liu, Dong Gong
2020 J jnl
Semi-supervised Learning via Conditional Rotation Angle Estimation.
CoRR
Hai-Ming Xu, Lingqiao Liu, Dong Gong