2 code implementations • CVPR 2020 • Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, Xinyi Le
Unlike existing point cloud completion networks, which generate the overall shape of the point cloud from the incomplete point cloud and always change existing points and encounter noise and geometrical loss, PF-Net preserves the spatial arrangements of the incomplete point cloud and can figure out the detailed geometrical structure of the missing region(s) in the prediction.
no code implementations • 25 Sep 2019 • Feng Ni
As a concise and classic framework for object detection and instance segmentation, Mask R-CNN achieves promising performance in both two tasks.
no code implementations • 31 Jul 2018 • Qijie Zhao, Feng Ni, Yang song, Yongtao Wang, Zhi Tang
Specifically, a synthesizing method was proposed to generate well-annotated images containing barcode and QR code labels, which contributes to largely decrease the annotation time.
1 code implementation • 26 Jun 2018 • Qijie Zhao, Tao Sheng, Yongtao Wang, Feng Ni, Ling Cai
The ability to detect small objects and the speed of the object detector are very important for the application of autonomous driving, and in this paper, we propose an effective yet efficient one-stage detector, which gained the second place in the Road Object Detection competition of CVPR2018 workshop - Workshop of Autonomous Driving(WAD).