Xu, HaiMing

12 publications

WACV 2025 A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting Yuhao Lin, Haiming Xu, Lingqiao Liu, Javen Qinfeng Shi

CVPR 2025 Deep Fair Multi-View Clustering with Attention KAN HaiMing Xu, Qianqian Wang, Boyue Wang, Quanxue Gao

AAAI 2025 Deep Multi-Modal Graph Clustering via Graph Transformer Network Qianqian Wang, Haiming Xu, Zihao Zhang, Wei Feng, Quanxue Gao

IJCAI 2025 Efficient Multi-View Clustering via Reinforcement Contrastive Learning Qianqian Wang, Haiming Xu, Zihao Zhang, Zhiqiang Tao, Quanxue Gao

IJCAI 2025 Fair Incomplete Multi-View Clustering via Distribution Alignment Qianqian Wang, Haiming Xu, Meiling Liu, Wei Feng, Xiangdong Zhang

NeurIPS 2025 LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering HaiMing Xu, Qianqian Wang

IJCAI 2024 Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning Qianqian Wang, Meiling Liu, Wei Feng, Mengping Jiang, Haiming Xu, Quanxue Gao

AAAI 2024 Revisiting Open-Set Panoptic Segmentation Yufei Yin, Hao Chen, Wengang Zhou, Jiajun Deng, Haiming Xu, Houqiang Li

ECCV 2022 Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu

NeurIPS 2022 Semi-Supervised Semantic Segmentation with Prototype-Based Consistency Regularization Haiming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang

IJCAI 2017 Multiple Indefinite Kernel Learning for Feature Selection Hui Xue, Yu Song, Haiming Xu

AAAI 2017 Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming Haiming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang