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Multi-Fiber Networks for Video Recognition [article]

Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng
2018 arXiv   pre-print
Extensive experimental results show that our multi-fiber architecture significantly boosts the efficiency of existing convolution networks for both image and video recognition tasks, achieving state-of-the-art  ...  To this end, we present the novel Multi-Fiber architecture that slices a complex neural network into an ensemble of lightweight networks or fibers that run through the network.  ...  Spatio-temporal Multi-fiber Networks In this subsection, we extend out multi-fiber architecture to spatio-temporal inputs and present a new architecture for 3D convolutional networks and video recognition  ... 
arXiv:1807.11195v3 fatcat:2bajdinjl5ectmqjeg6ry3fddi

Multi-fiber Networks for Video Recognition [chapter]

Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng
2018 Lecture Notes in Computer Science  
Extensive experimental results show that our multi-fiber architecture significantly boosts the efficiency of existing convolution networks for both image and video recognition tasks, achieving state-of-the-art  ...  To this end, we present the novel Multi-Fiber architecture that slices a complex neural network into an ensemble of lightweight networks or fibers that run through the network.  ...  Spatio-temporal Multi-fiber Networks In this subsection, we extend out multi-fiber architecture to spatio-temporal inputs and present a new architecture for 3D convolutional networks and video recognition  ... 
doi:10.1007/978-3-030-01246-5_22 fatcat:fzyx76cmyrbqhpo2jhynuzfjca

Battlefield Target Aggregation Behavior Recognition Model Based on Multi-Scale Feature Fusion

Haiyang Jiang, Yaozong Pan, Jian Zhang, Haitao Yang
2019 Symmetry  
In order to reduce the computational complexity of the network, we further improved the multi-fiber network, and finally established an architecture—3D convolution Two-Stream model based on multi-scale  ...  Extensive experimental results on the simulation data show that our network significantly boosts the efficiency of existing convolutional neural networks in the aggregation behavior recognition, achieving  ...  Multi-fiber networks [18] , which use multi-frame RGB as the input, greatly reduce the computational complexity on the basis of ensuring a recognition accuracy.  ... 
doi:10.3390/sym11060761 fatcat:4ro577fcsrhp5kot5z7g2upsd4

WHU-NERCMS at TRECVID2019: Instance Search Task

Longxiang Jiang, Jingyao Yang, Erxuan Guo, Fan Xia, Ruxing Meng, Jingfeng Luo, Xiangyu Li, Xinyi Yan, Zengmin Xu, Chao Liang
2019 TREC Video Retrieval Evaluation  
The advantage of this method is that it adopts targeted action retrieval for specific people to ensure the integrity of retrieval. The two retrieval schemes are complementary.  ...  Thanks for Zengmin Xu in School of Mathematics and Computing Science, Guilin University of Electronic Technology, who provides us technical guidance. We also thank BBC for the material.  ...  Acknowledgement Thanks for the great support to our work by associate professor Chao Liang, who guided us from the begin to the end of the INS task.  ... 
dblp:conf/trecvid/JiangYGXMLLYXL19 fatcat:a7xyov4cn5gf7gnyf5l6tduk3a

Deep Learning Improves Automated Rodent Behavior Recognition Within a Specific Experimental Setup

Elsbeth A. van Dam, Lucas P.J.J. Noldus, Marcel A.J. van Gerven
2019 Journal of Neuroscience Methods  
We show that using a multi-fiber network (MF-Net) in conjunction with data augmentation strategies within-setup dataset performance improves over the conventional RBR system.  ...  Two new methods for video augmentation were used: video cutout and dynamic illumination change.  ...  Acknowledgments This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.  ... 
doi:10.1016/j.jneumeth.2019.108536 pmid:31794777 fatcat:dkqepkb67zcexejfmmwz3u52ua

Metro-haul Project Vertical Service Demo: Video Surveillance Real-time Low-latency Object Tracking [article]

Annika Dochhan, Johannes K. Fischer, Bodo Lent, Achim Autenrieth, Behnam Shariati, Pablo Wilke Berenguer, Jörg-Peter Elbers
2020 arXiv   pre-print
through a programmable multi-layer optical network.  ...  We report on the EU H2020 project METRO-HAUL use-case demonstration, including flexible allocation of storage and computing resources in different network locations and deployment of a network slice instance  ...  Fig. 1 : 1 Hierarchical architecture of control, orchestration and management (COM) system for the multi-vendor multi-technology metro network (OSM -Open Source Management and Orchestration, NFV-O -Network  ... 
arXiv:2006.04416v1 fatcat:qatxwkjhpvgbndzkrejn7l4r2i

Authors List

2020 2020 National Conference on Communications (NCC)  
Deep Neural Network for Image Recognition Aerial Multi-Object Tracking by Detection Using Deep Association Networks Blind Channel Coding Identification of RS Encoder Using Neural Networks Bharadwaj  ...  Coding Assisted Reliable Multicasting in Multi-Hop Wireless Networks with Two Sources Santanu Chaudhury Data Adaptive Compressed Sensing Using Deep Neural Network for Image Recognition Santanu  ... 
doi:10.1109/ncc48643.2020.9056032 fatcat:tsdhbqblujfwlgf4ojr6ftqdhe

Game-theoretic rate-distortion-complexity optimization for HEVC

Anna Ukhanova, Simone Milani, Soren Forchhammer
2013 2013 IEEE International Conference on Image Processing  
Definition of video quality requirements for video surveillance poses new questions in the area of quality assessment.  ...  We furthermore propose an application of one of the models for video surveillance systems General information State:  ...  Finally, we proposed low-delay and low-power approaches for video transmission over wireless personal area networks, including 60GHz fiber-wireless link.  ... 
doi:10.1109/icip.2013.6738411 dblp:conf/icip/UkhanovaMF13 fatcat:z2nypo27wfhvddgwgks4ssooqi

A Sensitized Plastic Fiber Sensor for Multi-point Bending Measurement Based on Deep Learning

Shun Lu, Zhongwei Tan, Guangde Li, Yang Jingya
2021 IEEE Photonics Journal  
As we all know, the change of mode interference caused by the curvature change in multi-mode fiber (MMF) can be well represented as a fiber specklegram recorded by CCD (Charge-coupled Device).  ...  The paper proposes plastic fiber bending sensors can be used to detect the multi-point bending without adding any hardware.  ...  Convolutional Neural Network (CNN) has been widely used in the field of image recognition and target classification.  ... 
doi:10.1109/jphot.2021.3103566 fatcat:azcwlme7gbgkxohemhx4x4ifk4

PNL: Efficient Long-Range Dependencies Extraction with Pyramid Non-Local Module for Action Recognition [article]

Yuecong Xu, Haozhi Cao, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
2020 arXiv   pre-print
Long-range spatiotemporal dependencies capturing plays an essential role in improving video features for action recognition.  ...  However, the non-local block brings significant increase in computation cost to the original network. It also lacks the ability to model regional correlation in videos.  ...  Capturing long-range spatiotemporal dependencies have proven to play a key role in extracting effective video features for action recognition.  ... 
arXiv:2006.05091v1 fatcat:h74opcst4fd23e767jo4bdhlqm

A Comprehensive Study of Deep Video Action Recognition [article]

Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li
2020 arXiv   pre-print
Video action recognition is one of the representative tasks for video understanding.  ...  In this paper, we provide a comprehensive survey of over 200 existing papers on deep learning for video action recognition.  ...  Acknowledgement We would like to thank Peter Gehler, Linchao Zhu and Thomas Brady for constructive feedback and fruitful discussions.  ... 
arXiv:2012.06567v1 fatcat:plqytbfck5bcndiceshix5unpa

Deep learning enabled real time speckle recognition and hyperspectral imaging using a multimode fiber array

Ulas Kürüm, Peter R. Wiecha, Rebecca French, Otto L. Muskens
2019 Optics Express  
In a proof-of-principle demonstrator we achieve real time recovery of hyperspectral information using a multi-core, multi-mode fiber array as a random scattering medium.  ...  We demonstrate the use of deep learning for fast spectral deconstruction of speckle patterns.  ...  Acknowledgments We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Quadro P6000 GPU used for this research. La Linea © CAVA/QUIPOS.  ... 
doi:10.1364/oe.27.020965 fatcat:iodlzqw7cvcqdjpjsiqxisoksa

Deep Learning Enabled Real Time Speckle Recognition and Hyperspectral Imaging using a Multimode Fiber Array [article]

Ulas Kürüm, P. R. Wiecha, Rebecca French, Otto L. Muskens
2019 arXiv   pre-print
In a proof-of-principle demonstrator we achieve real time recovery of hyperspectral information using a multi-core, multi-mode fiber array as a random scattering medium.  ...  We demonstrate the use of deep learning for fast spectral deconstruction of speckle patterns.  ...  We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Quadro P6000 GPU used for this research. La Linea © CAVA/QUIPOS.  ... 
arXiv:1904.04673v1 fatcat:begdmuewfnetxayj6sf74chjhi

Action recognition in real-world videos [article]

Waqas Sultani, Qazi Ammar Arshad, Chen Chen
2020 arXiv   pre-print
The goal of human action recognition is to temporally or spatially localize the human action of interest in video sequences.  ...  Temporal localization (i.e. indicating the start and end frames of the action in a video) is referred to as frame-level detection.  ...  Both networks are trained separately and the results are averaged. Multi-Fiber Networks Chen et al.  ... 
arXiv:2004.10774v1 fatcat:asnrp2z6mvfnlh46w5idj4rogm

GCCE 2020 Subject Index

2020 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)  
T U V W Self-Attention Based Neural Network for Few Shot Classification Self-Attention Based Neural Network for Few Shot Classification Separation of Multiple Sound Sources in the Same Direction  ...  by Instantaneous Spectral Estimation Separation of Multiple Sound Sources in the Same Direction by Instantaneous Spectral Estimation Sequence-To-One Neural Networks for Japanese Dialect Speech Classification  ...  Streaming Video Using 8K Video Sources Elderly Monitoring and Action Recognition System Using Stereo Depth Camera Elderly Monitoring and Action Recognition System Using Stereo Depth Camera Electric Field  ... 
doi:10.1109/gcce50665.2020.9291796 fatcat:bmnnn7xnxrefhaneq262fe4i6u
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