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北京航空航天大学 [237]
内容类型
会议论文 [163]
期刊论文 [74]
发表日期
2019 [27]
2018 [31]
2017 [35]
2016 [33]
2015 [37]
2014 [18]
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专题:北京航空航天大学
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Multi-scale Aggregation Network for Direct Face Alignment
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Li, Peizhao
;
Zhang, Anran
;
Yue, Lei
;
Zhen, Xiantong
;
Cao, Xianbin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Benchmarking
Computer vision
Convolution
Neural networks
Semantics
Aggregation network
Attention mechanisms
Benchmark datasets
Convolutional neural network
Intermediate layers
Learning architectures
Multi-scale features
State-of-the-art methods
Network architecture
Model-free Tracking with Deep Appearance and Motion Features Integration
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Jiang, Xiaolong
;
Li, Peizhao
;
Zhen, Xiantong
;
Cao, Xianbin
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/30
Benchmarking
Neural networks
Benchmark datasets
Convolutional neural network
Motion detection
Output response
Parallel streams
Prior information
Real time modeling
Real-time processing speed
Computer vision
Taylor Convolutional Networks for Image Classification
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Wang, Xiaodi
;
Li, Ce
;
Mou, Yipeng
;
Zhang, Baochang
;
Han, Jungong
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/30
Backpropagation algorithms
Computer vision
Convolution
Network architecture
Convolutional networks
Deep architectures
End to end
High-frequency informations
Low-frequency
Nonlinear combination
Object classification
Taylor expansions
Image classification
End-to-End Video Captioning with Multitask Reinforcement Learning
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Li, Lijun
;
Gong, Boqing
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Computer vision
Large dataset
Machine learning
Recurrent neural networks
Convolutional neural network
Hardware constraints
Input videos
Large margins
Process video
Reinforcement learning approach
Search spaces
Testing phase
Reinforcement learning
Starts Better and Ends Better: A Target Adaptive Image Signature Tracker
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Liu, Xingchao
;
Li, Ce
;
Wang, Hongren
;
Zhen, Xiantong
;
Zhang, Baochang
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Aircraft detection
Computer vision
Benchmark datasets
Boundary effects
Closed form solutions
Correlation filters
State of the art
Tracking process
Visual object tracking
Visual Tracking
Benchmarking
Correlation-guided multi-object tracking with correlation feature transfer
期刊论文
IET COMPUTER VISION, 2019, 卷号: 13, 页码: 139-145
作者:
Li, Jiatong
;
Zhao, Yanjie
;
Jiang, Zhiguo
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Efficiency
Location
Markov processes
Tracking (position)
Correlation features
Domain specific
Monte Carlo Markov chain
Multi-object tracking
Multiple objects
Off-line training
Recursive Bayesian filtering
Tracking precision
Carrier communication
Unsupervised ego-motion and dense depth estimation with monocular video
会议论文
International Conference on Communication Technology Proceedings, ICCT, 2018-10-08
作者:
Xu, Y.
;
Wang, Y.
;
Guo, L.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Deep learning
Motion estimation
Dense depth estimation
Depth
Ego motion
Ego-motion estimation
Learning from videos
Learning-based methods
Optical flow estimation
Unsupervised
Computer vision
A high precision 3D reconstruction method for bend tube axis based on binocular stereo vision
期刊论文
OPTICS EXPRESS, 2019, 卷号: 27, 页码: 2292-2304
作者:
Sun, Junhua
;
Zhang, Yue
;
Cheng, Xiaoqi
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Image reconstruction
Stereo image processing
Three dimensional computer graphics
Tubes (components)
3D coordinates
3D reconstruction
Binocular stereo vision
Classical approach
Measurement accuracy
Perspective projections
Reconstruction error
Vision-based methods
Stereo vision
Object detection and tracking under Complex environment using deep learning-based LPM
期刊论文
IET COMPUTER VISION, 2019, 卷号: 13, 页码: 157-164
作者:
Li, Yundong
;
Zhang, Xueyan
;
Li, Hongguang
;
Zhou, Qichen
;
Cao, Xianbin
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/30
Deep learning
Efficiency
Graphic methods
Object recognition
Tracking (position)
Background clutter
Complex environments
Detection and tracking
Histograms of oriented gradients
Illumination changes
Object detection and tracking
Overall efficiency
Probability modeling
Object detection
A Deep Learning-based Visual Perception Approach for Mobile Robots
会议论文
Proceedings 2018 Chinese Automation Congress, CAC 2018, 2018-11-30
作者:
Shan, G.
;
Wang, T.
;
Li, X.
;
Fang, Y.
;
Zhang, Y.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Deep learning
Deep neural networks
Intelligent robots
Mobile robots
Vision
Computer vision technology
Computing platform
Differential wheeled mobile robots
Experimental platform
Intelligent level
Learning-based approach
Neural network structures
Visual perception
Visual servoing
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