MSCANet: Adaptive Multi-scale Context Aggregation Network for Congested Crowd Counting. - Yani Zhang; Huailin Zhao; Fangbo Zhou; Qing Zhang 004; Yanjiao Shi; Lanjun Liang (MMM (2), 2021)

COMAL: compositional multi-scale feature enhanced learning for crowd counting. - Fangbo Zhou; Huailin Zhao; Yani Zhang; Qing Zhang 004; Lanjun Liang; Yaoyao Li; Zuodong Duan (Multim. Tools Appl., 2022)

Extracting Dynamic Navigation Goal from Natural Language Dialogue. - Lanjun Liang; Ganghui Bian; Huailin Zhao; Yanzhi Dong; Huaping Liu (IROS, 2023)

SC2Net: Scale-aware Crowd Counting Network with Pyramid Dilated Convolution. - Lanjun Liang; Huailin Zhao; Fangbo Zhou; Qing Zhang 004; Zhili Song; Qingxuan Shi (Appl. Intell., 2023)

Long-term object search using incremental scene graph updating. - Fangbo Zhou; Huaping Liu; Huailin Zhao; Lanjun Liang (Robotica, 2023)

PDDNet: lightweight congested crowd counting via pyramid depth-wise dilated convolution. - Lanjun Liang; Huailin Zhao; Fangbo Zhou; Mingyang Ma; Feng Yao; Xiaojun Ji (Appl. Intell., 2023)