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检索条件"机构=Baidu Research and National Engineering Laboratory for Deep Learning Technology and Application"
100 条 记 录,以下是71-80 订阅
排序:
LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention
LiDAR-Based Online 3D Video Object Detection With Graph-Base...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Junbo Yin Jianbing Shen Chenye Guan Dingfu Zhou Ruigang Yang Beijing Lab of Intelligent Information Technology School of Computer Science Beijing Institute of Technology China Baidu Research Inception Institute of Artificial Intelligence UAE National Engineering Laboratory of Deep Learning Technology and Application China University of Kentucky Kentucky USA
Existing LiDAR-based 3D object detectors usually focus on the single-frame detection, while ignoring the spatiotemporal information in consecutive point cloud frames. In this paper, we propose an end-to-end online 3D ... 详细信息
来源: 评论
Channel attention based iterative residual learning for depth map super-resolution
arXiv
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arXiv 2020年
作者: Song, Xibin Dai, Yuchao Zhou, Dingfu Liu, Liu Li, Wei Li, Hongdong Yang, Ruigang Baidu Research National Engineering Laboratory of Deep Learning Technology and Application China Northwestern Polytechnical University China Shandong University China Australian National University Australia Australian Centre for Robotic Vision Australia University of Kentucky Kentucky United States
Despite the remarkable progresses made in deep-learning based depth map super-resolution (DSR), how to tackle real-world degradation in low-resolution (LR) depth maps remains a major challenge. Existing DSR model is g... 详细信息
来源: 评论
Kham dialect speech synthesis based on deep learning
Kham dialect speech synthesis based on deep learning
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2019 International Joint Conference on Information, Media, and engineering, IJCIME 2019
作者: Zhang, Weizhao Yang, Hongwu Bu, Xiaolong College of Physics and Electronic Engineering Engineering Research Center of Gansu Province for Intelligent Information Technology and Application Northwest Normal University Lanzhou China School of Educational Technology National and Provincial Joint Engineering Laboratory of Learning Analysis Technology in Online Education College of Physics and Electronic Engineering Northwest Normal University Lanzhou China
In this paper, we constructed speech synthesis corpus of Kham dialect. At the same time, we designed SAMP-Kham machine-readable phonetic label of Kham dialect, and proposed a framework of Kham dialect speech synthesis... 详细信息
来源: 评论
LAE : Long-tailed Age Estimation
arXiv
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arXiv 2021年
作者: Bao, Zenghao Tan, Zichang Zhu, Yu Wan, Jun Ma, Xibo Lei, Zhen Guo, Guodong CBSR NLPR Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Sciences Centre for Artificial Intelligence and Robotics Hong Kong Institute of Science & Innovation Chinese Academy of Sciences Institute of Deep Learning Baidu Research National Engineering Laboratory for Deep Learning Technology and Application
Facial age estimation is an important yet very challenging problem in computer vision. To improve the performance of facial age estimation, we first formulate a simple standard baseline and build a much strong one by ... 详细信息
来源: 评论
Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent.
arXiv
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arXiv 2019年
作者: Hu, Wenqing Zhu, Zhanxing Xiong, Haoyi Huan, Jun Department of Mathematics and Statistics Missouri University of Science and Technology University of Missouri Rolla Peking University Beijing Institute of Big Data Research Beijing China Big Data Lab Baidu Inc. National Engineering Laboratory of Deep Learning Application and Technology
We interpret the variational inference of the Stochastic Gradient Descent (SGD) as minimizing a new potential function named the quasi-potential. We analytically construct the quasi-potential function in the case when... 详细信息
来源: 评论
The speech synthesis of yi language based on DNN
The speech synthesis of yi language based on DNN
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2019 International Joint Conference on Information, Media, and engineering, IJCIME 2019
作者: Bu, Xiaolong Yang, Hongwu Zhang, Weizhao College of Physics and Electronic Engineering Eng. Research Center of Gansu Province for in Telligent Information Technology and Application Northwest Normal University Lanzhou China School of Educational Technology National and Provincial Joint Engineering Laboratory of Learning Analysis Technology in Online Education Northwest Normal University Lanzhou China
This paper is mainly about a speech synthesis system based on deep Neural Network (DNN) model of Yi languages, a kind of minority language in china. The system is composed of relatively complete text analysis of Yi, m... 详细信息
来源: 评论
IDARTS: Interactive Differentiable Architecture Search
IDARTS: Interactive Differentiable Architecture Search
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International Conference on Computer Vision (ICCV)
作者: Song Xue Runqi Wang Baochang Zhang Tian Wang Guodong Guo David Doermann Beihang University Beijing China Jiangsu Key Laboratory of Image and Video Understanding for Social Safety Nanjing University of Science and Technology Nanjing China Lobachevsky State University of Nizhni Novgorod Nizhni Novgorod Russian Federation National Engineering Laboratory for Deep Learning Technology and Application Institute of Deep Learning Baidu Research Beijing China University at Buffalo USA
Differentiable Architecture Search (DARTS) improves the efficiency of architecture search by learning the architecture and network parameters end-to-end. However, the intrinsic relationship between the architecture’s... 详细信息
来源: 评论
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
A Unified Object Motion and Affinity Model for Online Multi-...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Junbo Yin Wenguan Wang Qinghao Meng Ruigang Yang Jianbing Shen Beijing Lab of Intelligent Information Technology School of Computer Science Beijing Institute of Technology China ETH Zurich Switzerland Baidu Research National Engineering Laboratory of Deep Learning Technology and Application China University of Kentucky Kentucky USA Inception Institute of Artificial Intelligence UAE
Current popular online multi-object tracking (MOT) solutions apply single object trackers (SOTs) to capture object motions, while often requiring an extra affinity network to associate objects, especially for the occl... 详细信息
来源: 评论
LiDAR-based online 3D video object detection with graph-based message passing and spatiotemporal transformer attention
arXiv
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arXiv 2020年
作者: Yin, Junbo Shen, Jianbing Guan, Chenye Zhou, Dingfu Yang, Ruigang Beijing Lab of Intelligent Information Technology School of Computer Science Beijing Institute of Technology China Baidu Research National Engineering Laboratory of Deep Learning Technology and Application China Inception Institute of Artificial Intelligence United Arab Emirates University of Kentucky Kentucky United States
Existing LiDAR-based 3D object detectors usually focus on the single-frame detection, while ignoring the spatiotemporal information in consecutive point cloud frames. In this paper, we propose an end-to-end online 3D ... 详细信息
来源: 评论
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving
Joint 3D Instance Segmentation and Object Detection for Auto...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Dingfu Zhou Jin Fang Xibin Song Liu Liu Junbo Yin Yuchao Dai Hongdong Li Ruigang Yang Baidu Research National Engineering Laboratory of Deep Learning Technology and Application Beijing China Australian National University Canberra Australia Australian Centre for Robotic Vision Australia Beijing Institute of Technology Beijing China Northwestern Polytechnical University Xi'an China University of Kentucky Kentucky USA
Currently, in Autonomous Driving (AD), most of the 3D object detection frameworks (either anchor- or anchor-free-based) consider the detection as a Bounding Box (BBox) regression problem. However, this compact represe... 详细信息
来源: 评论