CASIA OpenIR

浏览/检索结果: 共34条,第1-10条 帮助

  只显示已认领条目
已选(0)清除 条数/页:   排序方式:
Software-Defined Active LiDARs for Autonomous Driving: A Parallel Intelligence-Based Adaptive Model 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 8, 页码: 4047-4056
作者:  Liu, Yuhang;  Sun, Boyi;  Tian, Yonglin;  Wang, Xingxia;  Zhu, Yin;  Huai, Rouxing;  Shen, Yu
收藏  |  浏览/下载:79/0  |  提交时间:2023/11/16
Software-defined active LiDARs  parallel intelligence  adaptive sensing resources allocation  
Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems 期刊论文
SENSORS, 2022, 卷号: 22, 期号: 24, 页码: 16
作者:  Liu, Yuhang;  Shen, Yu;  Fan, Lili;  Tian, Yonglin;  Ai, Yunfeng;  Tian, Bin;  Liu, Zhongmin;  Wang, Fei-Yue
收藏  |  浏览/下载:179/0  |  提交时间:2023/02/22
parallel radars  ACP method  cyber-physical-social systems (CPSS)  federated radars  
A New Parallel Intelligence Based Light Field Dataset for Depth Refinement and Scene Flow Estimation 期刊论文
SENSORS, 2022, 卷号: 22, 期号: 23, 页码: 15
作者:  Shen, Yu;  Liu, Yuhang;  Tian, Yonglin;  Liu, Zhongmin;  Wang, Feiyue
收藏  |  浏览/下载:147/0  |  提交时间:2023/01/09
light field  parallel intelligence  disparity estimation  scene flow  digital twin  virtual real interaction  angular super-resolution  
Sketch-based Image Retrieval using Generative Adversarial Networks 会议论文
, 美国山景城, 2017.10.23
作者:  Longteng,Guo;  Jing, Liu;  Yuhang, Wang;  Zhonghua, Luo;  Wei, Wen;  Hanqing, Lu
Adobe PDF(1269Kb)  |  收藏  |  浏览/下载:128/41  |  提交时间:2021/06/25
Densely Connected Deconvolutional Network For Senantic Segmentation 会议论文
, Beijing,China, 2017.9.17-9.20
作者:  Fu, Jun;  Liu, Jing;  Wang, Yuhang;  Lu, Hanqing
收藏  |  浏览/下载:78/0  |  提交时间:2020/10/27
Adaptive Context Network for Scene Parsing 会议论文
IEEE International Conference on Computer Vision(ICCV2019), Seoul, Korea, October 27 - November 2, 2019
作者:  Fu, Jun;  Liu, Jing;  Wang, Yuhang;  Li, Yong;  Bao, Yongjun;  Tang, Jinhui;  Lu, Hanqing
浏览  |  Adobe PDF(1183Kb)  |  收藏  |  浏览/下载:312/105  |  提交时间:2020/06/11
Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5655-5666
作者:  Liu, Jing;  Wang, Yuhang;  Li, Yong;  Fu, Jun;  Li, Jiangyun;  Lu, Hanqing
收藏  |  浏览/下载:258/0  |  提交时间:2019/12/16
Deconvolutional neural network (DCNN)  depth estimation  fully connected conditional random field (CRF)  pointwise bilinear layer  semantic segmentation  soft mapping strategy  
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4730-4743
作者:  Cheng, Jian;  Wu, Jiaxiang;  Leng, Cong;  Wang, Yuhang;  Hu, Qinghao
收藏  |  浏览/下载:277/0  |  提交时间:2019/12/16
Acceleration And Compression  Convolutional Neural Network (Cnn)  Mobile Devices  Product Quantization  
Learning to recognition from Bing Clickture data 会议论文
, Seattle, USA, 2016.7.11-7.15
作者:  Li, Chenghua;  Song, Qiang;  Wang, Yuhang;  Song, Hang;  Kang, Qi;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(7916Kb)  |  收藏  |  浏览/下载:291/76  |  提交时间:2018/01/07
Clickture Data  Cnns  Recognition  
Sketch-based Image Retrieval using Generative Adversarial Networks 会议论文
, California,USA, 2017.10.23-10.27
作者:  Guo, Longteng;  Liu, Jing;  Wang, Yuhang;  Luo, Zhonghua;  Wen, Wei;  Lu, Hanqing
浏览  |  Adobe PDF(1269Kb)  |  收藏  |  浏览/下载:520/168  |  提交时间:2018/01/07