Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zhaotang Chen"'
Publikováno v:
IEEE Transactions on Industrial Electronics. 67:10600-10609
In recent years, vehicle detectors built on deep convolutional neural network (DCNN) have been widely used in autonomous driving. Under the complex conditions of road traffic, the detector is expected to run in high speed and high accuracy. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c42265cd2b5beebd76b4d65bff47cd45
https://doi.org/10.1109/tie.2019.2962413
https://doi.org/10.1109/tie.2019.2962413
Publikováno v:
ITSC
Instance segmentation for autonomous driving should have a simple process. For dense instance segmentation methods based on FCOS, although they can directly predict instance masks, they output many duplicate predictions. Therefore, they must use non-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2048c33a6fd60eb3c052d3766f3ffedb
https://doi.org/10.1109/itsc48978.2021.9564812
https://doi.org/10.1109/itsc48978.2021.9564812
Autor:
Feng Ni, Haibin Ling, Dong Wang, Zhipeng Luo, Zhaotang Chen, Yanyun Zhao, Jinrong Hu, Guorong Li, Tao Peng, Jenq-Neng Hwang, Chang Liu, Kannappan Palaniappan, Guizhong Liu, Chunhui Zhang, Yue Zhang, Qinghua Hu, Filiz Bunyak, Mikael Nilsson, Siyang Pan, Pengfei Zhu, Zhuojin Sun, Jiayu Zheng, Brejesh Lall, Martin Lauer, Robert Laganiere, Yanting Zhang, Hailin Shi, Xin Chen, Wei Tian, Lu Ding, Noor M. Al-Shakarji, Zhihang Tong, Huchuan Lu, Yuduo Song, Ajit Jadhav, Haotian Zhang, Xiao Bian, Long Chen, Longyin Wen, Shuhao Chen, Hongyang Yu, Xinyao Wang, Wei Shi, Håkan Ardö, Zhibin Xiao, Yuehan Yao, Bing Dong, Rui Zhu, Zhenyu Xu, Qingming Huang, Weiqiang Li, Gaoang Wang, Xinyu Zhang, Liefeng Bo, Prerana Mukherjee, Dawei Du, Jiatong Mu, Yong Wang, Vinay Kaushik, Guna Seetharaman
Publikováno v:
ICCV Workshops
The Vision Meets Drone Multiple Object Tracking (MOT) Challenge 2019 is the second annual activity focusing on evaluating multi-object tracking algorithms on drones, held in conjunction with the 17-th International Conference on Computer Vision (ICCV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e78ecd4a5d56cef146cee7d079ac47b9
https://doi.org/10.1109/iccvw.2019.00028
https://doi.org/10.1109/iccvw.2019.00028
Autor:
Qinghua Hu, Sai Saketh Chennamsetty, Dawei Du, Ziming Liu, Yingping Li, Jiayu Zheng, Guizhong Liu, Varghese Alex Kollerathu, Yue Zhang, Zhaoliang Pi, Weida Qin, Zhenyu Xu, Jinrong Hu, Liefeng Bo, Hailin Shi, Xier Chen, Xingjie Zhao, Yuduo Song, Zhaotang Chen, Yunfeng Zhang, Feng Ni, Yanchao Lian, Dheeraj Reddy Pailla, Tong Wu, Longyin Wen, Jingkai Zhou, Tao Peng, Ying Li, Ting Sun, Haibin Ling, Yinan Wu, Pengfei Zhu, Lin Sun, Yiwen Wang, Martin Lauer, Guangyu Gao, Long Chen, Zhibin Xiao, Yuehan Yao, Haitao Xiong, Zhipeng Luo, Xiao Bian, Qiong Liu, Bing Dong, Rui Zhu, Jing Ge, Xinyao Wang, Wei Tian
Publikováno v:
ICCV Workshops
Video object detection has drawn great attention recently. The Vision Meets Drone Object Detection in Video Challenge 2019 (VisDrone-VID2019) is held to advance the state-of-the-art in video object detection for videos captured by drones. Specificall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4474069ca5a7ac94454be613b78532ab
