Baochen Yao

According to our database, Baochen Yao authored at least 9 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Active learning with joint probabilistic modeling for point cloud semantic segmentation.

Baochen Yao, Dongjie Zhang, Jie Zhao, Ye Zheng, Chengbin Peng

Knowl. Based Syst., 2025

2024

Uncertainty-Guided Contrastive Learning for Weakly Supervised Point Cloud Segmentation.

Baochen Yao, Li Dong, Xiaojie Qiu, Kangkang Song, Diqun Yan, Chengbin Peng

IEEE Trans. Geosci. Remote. Sens., 2024

Self-Enhanced Feature Fusion for RGB-D Semantic Segmentation.

Pengcheng Xiang, Baochen Yao, Zefeng Jiang, Chengbin Peng

IEEE Signal Process. Lett., 2024

Point Cloud Semantic Segmentation by Adaptively Fusing Information With Varying Distances.

Zefeng Jiang, Baochen Yao, Kangkang Song, Xiaojie Qiu, Chengbin Peng

IEEE Signal Process. Lett., 2024

A multi-view consistency framework with semi-supervised domain adaptation.

Yuting Hong, Li Dong, Xiaojie Qiu, Hui Xiao, Baochen Yao, Siming Zheng, Chengbin Peng

Eng. Appl. Artif. Intell., 2024

Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving.

Yuting Hong, Hui Xiao, Huazheng Hao, Xiaojie Qiu, Baochen Yao, Chengbin Peng

CoRR, 2024

2023

Weakly Supervised Learning for Point Cloud Semantic Segmentation With Dual Teacher.

Baochen Yao, Hui Xiao, Jiayan Zhuang, Chengbin Peng

IEEE Robotics Autom. Lett., October, 2023

2019

Real-time visual tracking with ELM augmented adaptive correlation filter.

Lei Qu, Kuixiang Liu, Baochen Yao, Jun Tang, Wei Zhang

Pattern Recognit. Lett., 2019

2018

Visual tracking with genetic algorithm augmented logistic regression.

Lei Qu, Guoqiang Zhao, Baochen Yao, Yuzhen Li

Signal Image Video Process., 2018