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Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:  Chen, Yaran;  Li, Haoran;  Gao, Ruiyuan;  Zhao, Dongbin
Adobe PDF(2082Kb)  |  收藏  |  浏览/下载：300/71  |  提交时间：2022/03/17
3-D object detection  generalized Intersection of Union (GIoU) loss  segmentation  
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:  Ding ZX(丁子祥);  Yaran, Chen;  Nannan, Li;  Dingbin, Zhao;  Zhiquan, Sun;  C. L. Philip Chen
Adobe PDF(2713Kb)  |  收藏  |  浏览/下载：205/49  |  提交时间：2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), reinforcement learning (RL)  
Heuristic rank selection with progressively searching tensor ring network 期刊论文
COMPLEX & INTELLIGENT SYSTEMS, 2021, 页码: 15
作者:  Li, Nannan;  Pan, Yu;  Chen, Yaran;  Ding, Zixiang;  Zhao, Dongbin;  Xu, Zenglin
Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：316/58  |  提交时间：2021/04/27
Tensor ring networks  Rank selection  Progressively search  Image classification  
A Spatial-Temporal Attention Model forHuman Trajectory Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 4, 页码: 965-974
作者:  Xiaodong Zhao;  Yaran Chen;  Jin Guo;  Dongbin Zhao
浏览  |  Adobe PDF(42191Kb)  |  收藏  |  浏览/下载：139/31  |  提交时间：2021/03/11
Attention mechanism  long-short term memory (LSTM)  spatial-temporal model  trajectory prediction  
An Efficient Network for Lane Segmentation 会议论文
, Beijing, China, 2018-10
作者:  Li, Haoran;  Zhao, Dongbin;  Chen, Yaran;  Zhang, Qichao
浏览  |  Adobe PDF(1688Kb)  |  收藏  |  浏览/下载：205/71  |  提交时间：2020/09/03
A Temporal-based Deep Learning Method for Multiple Objects Detection in Autonomous Driving 会议论文
, Rio de Janeiro, Brazil, 8-13 July 2018
作者:  Chen, Yaran;  Zhao, Dongbin;  Li, Haoran;  Li, Dong;  Guo, Ping
浏览  |  Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：337/119  |  提交时间：2019/04/25
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving 期刊论文
IEEE Computational Intelligence Magazine, IEEE Computational Intelligence Magazine, 2019, 2019, 卷号: 14, 14, 期号: 2, 页码: 83-98, 83-98
作者:  Dong Li;  Dongbin Zhao;  Qichao Zhang;  Yaran Chen
浏览  |  Adobe PDF(2205Kb)  |  收藏  |  浏览/下载：396/114  |  提交时间：2019/04/25
Deep Learning  Autonomous Driving  Visual Control  Reinforcement Learning  Deep Learning  Autonomous Driving  Visual Control  Reinforcement Learning  
基于深度学习的智能驾驶危险目标检测 学位论文
, 北京: 中国科学院研究生院, 2018
作者:  陈亚冉
Adobe PDF(11155Kb)  |  收藏  |  浏览/下载：509/15  |  提交时间：2018/05/31
深度学习  智能驾驶  目标检测  多任务学习  视觉注意力  
Multi-task learning with Cartesianproduct-based multi-objective combination fordangerous object detection 会议论文
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10261)
作者:  Yaran Chen;  Dongbin Zhao
浏览  |  Adobe PDF(751Kb)  |  收藏  |  浏览/下载：341/99  |  提交时间：2017/12/31
Dangerous Object Detection  Multi-task Learning  Convolutional Neural Network  
Multi-task learning for dangerous object detection in autonomous driving 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 432, 期号: *, 页码: 559-571
作者:  Chen, Yaran;  Zhao, Dongbin;  Lv, Le;  Zhang, Qichao
浏览  |  Adobe PDF(3402Kb)  |  收藏  |  浏览/下载：904/423  |  提交时间：2017/12/28
Dangerous Object Detection  Autonomous Driving  Multi-task Learning  Convolutional Neural Network