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Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization [article]

Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang, Haozhe Wu, Haizhou Ai, Qi Tian
2020 arXiv   pre-print
The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras.  ...  Experiments on a wide range of ReID tasks demonstrate the effectiveness of our approach. The code is available at  ...  Introduction Person re-identification (ReID) aims at matching identities across disjoint cameras.  ... 
arXiv:2001.08680v3 fatcat:cfa3mwbtkbeafamyk52sr3pzm4

UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification [article]

Tianyu Zhang and Lingxi Xie and Longhui Wei and Zijie Zhuang and Yongfei Zhang and Bo Li and Qi Tian
2020 arXiv   pre-print
The main difficulty of person re-identification (ReID) lies in collecting annotated data and transferring the model across different domains.  ...  This offers a good basis for unsupervised domain adaption, where our pre-trained model is easily plugged into the state-of-the-art algorithms towards higher accuracy.  ...  Introduction Person re-identification aims to retrieve the same pedestrian (i.e., an identity) from the images captured by a camera network.  ... 
arXiv:2012.04268v2 fatcat:t5euwqyoajdfndf6xr2avplyvq

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

Aditya Mogadala, Marimuthu Kalimuthu, Dietrich Klakow
2021 The Journal of Artificial Intelligence Research  
In this survey, we focus on ten prominent tasks that integrate language and vision by discussing their problem formulation, methods, existing datasets, evaluation measures, and compare the results obtained  ...  Much of the growth in these fields has been made possible with deep learning, a sub-area of machine learning that uses artificial neural networks.  ...  We extend our special thanks to Matthew Kuhn and Stephanie Lund for painstakingly proofing the whole manuscript.  ... 
doi:10.1613/jair.1.11688 fatcat:kvfdrg3bwrh35fns4z67adqp6i

Spatiotemporal Transformer for Video-based Person Re-identification [article]

Tianyu Zhang, Longhui Wei, Lingxi Xie, Zijie Zhuang, Yongfei Zhang, Bo Li, Qi Tian
2021 arXiv   pre-print
This paper applies the Transformer to video-based person re-identification, where the key issue is to extract the discriminative information from a tracklet.  ...  The derived algorithm achieves significant accuracy gain on three popular video-based person re-identification benchmarks, MARS, DukeMTMC-VideoReID, and LS-VID, especially when the training and testing  ...  Introduction With increasing concerns on public security, person re-identification (ReID), which aims to re-identify certain pedestrians in a disjoint camera network, has drawn more and more attention  ... 
arXiv:2103.16469v1 fatcat:xtkwdlg62vbilbndbvmgqww56y

Heterogeneous Non-Local Fusion for Multimodal Activity Recognition

Petr Byvshev, Pascal Mettes, Yu Xiao
2020 Proceedings of the 2020 International Conference on Multimedia Retrieval  
In case multiple signals are used, they come from the same homogeneous modality, e.g. in the case of color and optical flow.  ...  Combining video inputs with a sensor (here, a smart-glove) in a non-local manner allows us to recognize activities, even when they are not visible on camera.  ...  Before performing the task, each participant clapped their hands indicating the start of the recording for the camera and the smart-gloves.  ... 
doi:10.1145/3372278.3390675 dblp:conf/mir/ByvshevMX20 fatcat:5ot2q5pumrdydnnnwc6qqh27nu

Industry 4.0: Models, tools and cyber-physical systems for manufacturing

Goran Putnik, Luis Ferreira
2019 FME Transaction  
evluation the papers were accepted for inclusion in this Special Issue.  ...  Povoa de Varzim, Portugal, to submit extended version of the papers, and the second source was invitation to the reknown authors for submission of their research results within the Special Issue's theme  ...  The guest editors want to acknowledge that this  ... 
doi:10.5937/fmet1904659p fatcat:kdtmuv3h4jfnxcshhnlbmm4lma

Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning

Georgios Th. Papadopoulos, Margherita Antona, Constantine Stephanidis
2021 IEEE Access  
equipped with lidar and RGB camera in the Gazebo simulator.  ...  is applied for realizing the 'device disassembly/dismantling' step.  ... 
doi:10.1109/access.2021.3080517 fatcat:nzxzaxbx2jaf5owuihlxxfizuq

The DESI Experiment Part II: Instrument Design [article]

DESI Collaboration: Amir Aghamousa, Jessica Aguilar, Steve Ahlen, Shadab Alam, Lori E. Allen, Carlos Allende Prieto, James Annis, Stephen Bailey, Christophe Balland, Otger Ballester, Charles Baltay, Lucas Beaufore, Chris Bebek, Timothy C. Beers (+248 others)
2016 arXiv   pre-print
The DESI collaboration will also deliver a spectroscopic pipeline and data management system to reduce and archive all data for eventual public use.  ...  This powerful instrument will be installed at prime focus on the 4-m Mayall telescope in Kitt Peak, Arizona, along with a new optical corrector, which will provide a three-degree diameter field of view  ...  Acknowledgements References Acknowledgements This research is supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department  ... 
arXiv:1611.00037v2 fatcat:qupbf5xl2beaxb5fjkl2ptdkz4

Desk-Research Analysis and Identification of SA and Training Tools

Mateusz Macias
2021 Zenodo  
The content consists of a desk research performed by the project consortium partners experienced in specific areas focusing on technologies that are improved or developed in ASSISTANCE.  ...  This document is summary of the state of the art study done to support the ongoing work in the ASSISTANCE project.  ...  EU Civil Protection Mechanism Although it doesn't exist in a formal standard format, the EU Civil Protection Mechanism 24 offers a central hub for member states to share and develop their risk management  ... 
doi:10.5281/zenodo.4584704 fatcat:foln2lpxqjehjppjda2ycn6cjy

A comprehensive study of visual event computing

WeiQi Yan, Declan F. Kieran, Setareh Rafatirad, Ramesh Jain
2010 Multimedia tools and applications  
We start by presenting events and their classifications, and continue with discussing the problem of capturing events in terms of photographs, videos, etc, as well as the methodologies for event storing  ...  Later, we review an extensive set of papers taken from well-known conferences and journals in multiple disciplines. We analyze events, and summarize the procedure of visual event actions.  ...  Acknowledgements We appreciate for the great help from the colleagues of Queen's University Belfast(QUB): Prof. Danny Crookes, Dr. Weiru Liu, Dr. Paul Miller, and Dr. Xiwu Gu etc.  ... 
doi:10.1007/s11042-010-0560-9 fatcat:ak6u3eefefgjhmbpr7asru3n7u

Automated electron microscopy for evaluating two-dimensional crystallization of membrane proteins

Minghui Hu, Martin Vink, Changki Kim, KD Derr, John Koss, Kevin D'Amico, Anchi Cheng, James Pulokas, Iban Ubarretxena-Belandia, David Stokes
2010 Journal of Structural Biology  
Membrane proteins fulfill many important roles in the cell and represent the target for a large number of therapeutic drugs.  ...  Samples are inserted with a two-part robot: a SCARA robot for loading samples into the microscope holder, and a Cartesian robot for placing the holder into the electron microscope.  ...  Acknowledgments The authors wish to acknowledge the help of Zsolt Zolnai in updating the Sesame LIMS for storage and display of EM images, Russ Hinchliffe for machining various pieces required for final  ... 
doi:10.1016/j.jsb.2010.02.018 pmid:20197095 pmcid:PMC2904827 fatcat:yc3xyumfrndkhgqbr3yjihc42a

A Method for Thematic and Structural Visualization of Academic Content

Alexander Amigud, Joan Arnedo-Moreno, Thanasis Daradoumis, Ana-Elena Guerrero-Roldan
2017 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)  
Foreword And when he died, I suddenly realized I wasn't crying for him at all, but for the things he did.  ...  This work aims to initiate a paradigm shift in academic integrity practices.  ...  Ana-Elena Guerrero-Roldan-for their guidance throughout this demanding and incredible journey. A special thanks goes to Dr.  ... 
doi:10.1109/icalt.2017.24 dblp:conf/icalt/AmigudADG17 fatcat:voezr7hg6nfcxlubzzgsbnzpi4

Exploiting JTAG and Its Mitigation in IOT: A Survey

Gopal Vishwakarma, Wonjun Lee
2018 Future Internet  
Nowadays, companies are heavily investing in the development of "Internet of Things(IoT)" products. These companies usually and obviously hunt for lucrative business models.  ...  However, in the future, there might be hundreds of devices that will be constantly online behind each person, keeping track of body health, banking transactions, status of personal devices, etc. to make  ...  The authors proposed statistical learning in chip (SLIC-J) scheme for JTAG protection. They proposed this scheme by assuming illegitimate person will act differently compared with authorized person.  ... 
doi:10.3390/fi10120121 fatcat:amsmnrbwvfe4pi3w3xjaidvmqm

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2015 Budget Estimates

Department Of Defense Comptroller's Office
2014 Zenodo  
Included in this category is the National Center for Advancing Translational Sciences (NCATS) efforts to reengineer drug discovery and development in collaboration with industry, academia, the Food and  ...  Also cited under this heading is the proposed DARPA-like funding mechanism to stimulate technology development, which is detailed below.  ...  for multiple functions and/or unique mechanical properties.  ... 
doi:10.5281/zenodo.1215345 fatcat:fjzhmynqjbaafk67q2ckcblj2m

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 arXiv   pre-print
In this paper we bridge the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas.  ...  The recent success of deep learning underpins new and powerful tools that tackle problems in this space.  ...  The CNN has also been used in [420] , where the authors draw inspiration from NLP and take the disassembled byte-code of an app as a text for analysis.  ... 
arXiv:1803.04311v3 fatcat:awuvyviarvbr5kd5ilqndpfsde
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