Visual tracking with genetic algorithm augmented logistic regression. - Lei Qu; Guoqiang Zhao; Baochen Yao; Yuzhen Li (Signal Image Video Process., 2018)

Real-time visual tracking with ELM augmented adaptive correlation filter. - Lei Qu; Kuixiang Liu; Baochen Yao; Jun Tang 007; Wei Zhang 021 (Pattern Recognit. Lett., 2019)

Weakly Supervised Learning for Point Cloud Semantic Segmentation With Dual Teacher. - Baochen Yao; Hui Xiao 005; Jiayan Zhuang; Chengbin Peng 001 (IEEE Robotics Autom. Lett., 2023)

Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving. - Yuting Hong; Hui Xiao 005; Huazheng Hao; Xiaojie Qiu; Baochen Yao; Chengbin Peng 001 (CoRR, 2024)

A multi-view consistency framework with semi-supervised domain adaptation. - Yuting Hong; Li Dong 006; Xiaojie Qiu; Hui Xiao 005; Baochen Yao; Siming Zheng; Chengbin Peng 001 (Eng. Appl. Artif. Intell., 2024)

Point Cloud Semantic Segmentation by Adaptively Fusing Information With Varying Distances. - Zefeng Jiang; Baochen Yao; Kangkang Song; Xiaojie Qiu; Chengbin Peng 001 (IEEE Signal Process. Lett., 2024)

Self-Enhanced Feature Fusion for RGB-D Semantic Segmentation. - Pengcheng Xiang; Baochen Yao; Zefeng Jiang; Chengbin Peng 001 (IEEE Signal Process. Lett., 2024)

Uncertainty-Guided Contrastive Learning for Weakly Supervised Point Cloud Segmentation. - Baochen Yao; Li Dong 006; Xiaojie Qiu; Kangkang Song; Diqun Yan; Chengbin Peng 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Active learning with joint probabilistic modeling for point cloud semantic segmentation. - Baochen Yao; Dongjie Zhang 001; Jie Zhao; Ye Zheng; Chengbin Peng 001 (Knowl. Based Syst., 2025)