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Baozhi Jia
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2020 – today
- 2022
- [j4]Zhishan Li, Baozhi Jia, Yifan He, Lei Xie:
PBDE: an effective post-processing method based on box density for object detection. Appl. Intell. 52(3): 2930-2941 (2022) - 2021
- [j3]Zhishan Li, Jiayan Yuan, Baozhi Jia, Yifan He, Lei Xie:
An Effective Face Anti-Spoofing Method via Stereo Matching. IEEE Signal Process. Lett. 28: 847-851 (2021) - 2020
- [c5]Zhishan Li, Baozhi Jia, Mingmu Chen, Shaokai Xu, Yifan He, Lei Xie:
PBDE: An Effective Method for Filtering False Positive Boxes in Object Detection. ICARCV 2020: 938-943
2010 – 2019
- 2016
- [j2]Baozhi Jia, Weiguo Feng, Ming Zhu:
Obstacle detection in single images with deep neural networks. Signal Image Video Process. 10(6): 1033-1040 (2016) - 2015
- [j1]Baozhi Jia, Rui Liu, Ming Zhu:
Real-time obstacle detection with motion features using monocular vision. Vis. Comput. 31(3): 281-293 (2015) - [c4]Baozhi Jia, Ming Zhu:
A method of face detection with deep models for patrol videos. ICDIP 2015: 96311B - 2014
- [c3]Chunhui Ding, Shouke Fan, Ming Zhu, Weiguo Feng, Baozhi Jia:
Violence Detection in Video by Using 3D Convolutional Neural Networks. ISVC (2) 2014: 551-558 - 2013
- [c2]Weiguo Feng, Rui Liu, Baozhi Jia, Ming Zhu:
An efficient pixel-wise method for moving object detection in complex scenes. AVSS 2013: 389-394 - [c1]Baozhi Jia, Ming Zhu:
A method of real-time detection for distant moving obstacles by monocular vision. ICMV 2013: 906706
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