From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer. - Haipeng Xiong; Hao Lu 003; Chengxin Liu; Liang Liu 001; Zhiguo Cao 001; Chunhua Shen (ICCV, 2019)

Weighing Counts: Sequential Crowd Counting by Reinforcement Learning. - Liang Liu 001; Hao Lu 003; Hongwei Zou; Haipeng Xiong; Zhiguo Cao 001; Chunhua Shen (ECCV (10), 2020)

Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and Graph Construction. - Xin Xiong; Haipeng Xiong; Ke Xian; Chen Zhao; Zhiguo Cao 001; Xin Li 005 (ECCV (21), 2020)

Counting Objects by Blockwise Classification. - Liang Liu 001; Hao Lu 003; Haipeng Xiong; Ke Xian; Zhiguo Cao 001; Chunhua Shen (IEEE Trans. Circuits Syst. Video Technol., 2020)

Decoupled Two-Stage Crowd Counting and Beyond. - Jian Cheng 001; Haipeng Xiong; Zhiguo Cao 001; Hao Lu 003 (IEEE Trans. Image Process., 2021)

Discrete-Constrained Regression for Local Counting Models. - Haipeng Xiong; Angela Yao (ECCV (24), 2022)

NSSNet: Scale-Aware Object Counting With Non-Scale Suppression. - Liang Liu 001; Zhiguo Cao 001; Hao Lu 003; Haipeng Xiong; Chunhua Shen (IEEE Trans. Intell. Transp. Syst., 2022)

From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting. - Haipeng Xiong; Hao Lu 003; Chengxin Liu; Liang Liu 001; Chunhua Shen; Zhiguo Cao 001 (Int. J. Comput. Vis., 2023)

Deep Imbalanced Regression via Hierarchical Classification Adjustment. - Haipeng Xiong; Angela Yao (CVPR, 2024)