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Ordered or Orderless: A Revisit for Video based Person Re-Identification [article]

Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen
2019 arXiv   pre-print
Is recurrent network really necessary for learning a good visual representation for video based person re-identification (VPRe-id)?  ...  Our work also presents a promising way to bridge the gap between video and image based person re-identification.  ...  In this paper, we consider more practical scenarios of video based person re-identification (VPRe-id), in which a video of a person, as seen in one camera, must be matched against a gallery of videos captured  ... 
arXiv:1912.11236v1 fatcat:zwjzjg2r35epzohu3wlzcul2g4

2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43

2022 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TPAMI Feb. 2021 745-752 Ordered or Orderless: A Revisit for Video Based Person Re-Identification.  ... 
doi:10.1109/tpami.2021.3126216 fatcat:h6bdbf2tdngefjgj76cudpoyia

Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering [article]

Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
2021 arXiv   pre-print
In this paper, we bridge this important gap by proposing Probabilistic Ranking-based Instance Selection with Memory (PRISM) approach for DML.  ...  Specifically, we propose a novel method, namely the von Mises-Fisher Distribution Similarity (vMF-Sim), to calculate this probability by estimating a von Mises-Fisher (vMF) distribution for each data class  ...  Shen, “Ordered or orderless: A revisit for video based person 2009, vol. 494. re-identification,” IEEE transactions on pattern analysis and machine [47] J. Krause, M. Stark, J.  ... 
arXiv:2108.01431v2 fatcat:vz5d4iqshvds7iaqohl7js4ieq

Multiple Object Tracking: A Literature Review [article]

Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang, Wei Liu, Xiaowei Zhao, Tae-Kyun Kim
2017 arXiv   pre-print
We inspect the recent advances in various aspects and propose some interesting directions for future research.  ...  We endeavor to provide a thorough review on the development of this problem in recent decades.  ...  Possible combinations include object segmentation [174] , human re-identification [175] , human pose estimation [17] , and action recognition [18] .  ... 
arXiv:1409.7618v4 fatcat:ff544dkiibfvzjvdz6gellsjh4

Table of contents

2021 ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Han, Xin Tian, Yuhong Yang, Wuhan University, China MMSP-5.3: A TRIPLET APPEARANCE PARSING NETWORK FOR PERSON ................................................ 4245 RE-IDENTIFICATION Mingfu Xiong, Engineering  ...  MODEL FOR PERSON RE-IDENTIFICATION ............................... 1495 Xipeng Lin, Yubin Yang, Nanjing University, China IVMSP-17.4: CROWD COUNTING VIA MULTI-LEVEL REGRESSION WITH LATENT ............  ... 
doi:10.1109/icassp39728.2021.9414617 fatcat:m5ugnnuk7nacbd6jr6gv2lsfby

Image Retrieval: Modelling Keywords via Low-level Features

Zenonas Theodosiou
2015 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
In recent years, much effort has been invested on automatic image annotation methods, since the manual assignment of keywords (which is necessary for text-based image retrieval) is a time consuming and  ...  It discusses and presents several studies referring to: (a) low-level feature extraction and selection for the task of automatic annotation of images, (b) training algorithms that can be utilized for keyword  ...  Thereby, a small group of experts is necessary for a high quality video labeling.  ... 
doi:10.5565/rev/elcvia.725 fatcat:zbpgc3jstnd5nf5ltcly3rdbhi

Drawing a Line in the Patent Subject Matter Sands: Does Europe Provide a Solution to the Business Method and Software Patent Problem?

Susan Marsnik, Robert E. Thomas
2010 Social Science Research Network  
are doing so in order to promote order or safety.103 III.  ...  In 1968, in In re Prater, the CCPA considered a claim rejection based on In re Abrams' "three rules" for dealing with mental steps.238 The court noted that the defense attorney's brief proposed the three  ...  Introduction On February 24, 2010, Italian Judge Oscar Magi convicted three Google executives for violations of Italian data protection laws after a video was uploaded to Google Video showing an autistic  ... 
doi:10.2139/ssrn.1676898 fatcat:hw2tqdw5n5aflm26bz3cfquj6a

Recovery of stereopsis in human adults with strabismus through perceptual learning

J. Ding, D. Levi
2010 Journal of Vision  
Similarly, when a human observes a short video, it is easy to decide if the event taking place in the video is normal or unexpected-even if the video depicts an unfamiliar place for the viewer.  ...  a hump) necessary for object identification.  ...  We set up an exhibition with 6 high-quality canvas prints and installed a radio-based identification (RFID) system to track 60 single visitors.  ... 
doi:10.1167/10.7.1124 fatcat:w3a4vu2hybhcvjwfqrryzzilbi

Machine Learning-Based Routing and Wavelength Assignment in Software-Defined Optical Networks

Ignacio Martin, Sebastian Troia, Jose Alberto Hernandez, Alberto Rodriguez, Francesco Musumeci, Guido Maier, Rodolfo Alvizu, Oscar Gonzalez de Dios
2019 IEEE Transactions on Network and Service Management  
Then, in Chapter 7 we revisit meta-information of Android applications to attempt the identification of groups of potentially repackaged applications using qualitative fields, such as application title  ...  Then, cosine similarity is computed over each pair or application descriptions' BoW to produce an orderless and language-independent similarity score for application descriptions.  ... 
doi:10.1109/tnsm.2019.2927867 fatcat:or3lhqdqbnas3cztwkqr5ykhhq

Area Chairs

Adrian Clark, Alessio Bue, Ist Genova, Andrea Cavallaro, Queen Mary, Andrea Torsello, Andrew Fitzgibbon, Antonio Robles, Kelly Nicta -Canberra, Barbara Caputo, Bjorn Stenger, Edmond Boyer (+28 others)
Only the very highest quality papers were selected for oral presentation, with 38 papers gaining a podium spot, or 10% of the submissions.  ...  Of the 365 submissions, just 144 were accepted for presentation in BMVC 2016, which is a 39% acceptance rate.  ...  We notice that most errors (around or above 90% of them) are below 2.5 meters, that is below 3 pixels for the image resolution available in our experiments.  ... 

Deep Zero- and Few-shot Learning in Computer Vision [article]

Hongguang Zhang, University, The Australian National
is from a seen or unseen class.  ...  Zero-shot learning requires learning a mapping that associates feature vectors extracted from images with semantic annotations that describe objects and/or scenes of interest.  ...  For instance, we cannot have thousands of photos of every person to get a robust model in surveillance videos for security checks.  ... 
doi:10.25911/5f5a020a5c26f fatcat:7etnry26vnbqbg752j77ikirwm

Reframing the World. Local Communities and Multinational Corporations. The case of Cajamarca, Colombia

Maria A. Quesada
In these statements a concern with the land and nature is clear, but the argument does not describe personal loss, personal endangering or personal connection with the land they defend.  ...  For the mining corporation water is a 'resource' that they should manage in order to guarantee water for people.  ... 
doi:10.7939/r3h70880t fatcat:yqmip5c5arhnvltnf3la3u35eq

Object Detection with Active Sample Harvesting

Olivier Canévet
The tree is used to select the next sample/image for training, by applying a sampling policy, and the "importance" weights are updated accordingly, to bias the sampling towards informative samples/images  ...  The common thread of this dissertation is how to efficiently find the informative samples/images for training.  ...  Acknowledgements I would like to express my gratitude to my advisor François Fleuret for his valuable advice all along these four years as well as for always encouraging me to do sound work.  ... 
doi:10.5075/epfl-thesis-7312 fatcat:nhao2skvyrfyrn2qedzcwwznuu

Opening the machine learning black box with Layer-wise Relevance Propagation [article]

Sebastian Lapuschkin, Technische Universität Berlin, Technische Universität Berlin, Klaus-Robert Müller
However, due to the nested complex and non-linear structure of many machine learning models, this comes with the disadvantage of them acting as a black box, providing little or no information about the  ...  In this thesis, we describe a novel method for explaining non-linear classifier decisions by decomposing the prediction function, called Layer-wise Relevance Propagation (LRP).  ...  Acknowledgements Experimental Setup We demonstrate the results on a classifier for the MIT Places data set (Zhou et al., 2014b) provided by the authors of this data set and the Caffe reference model  ... 
doi:10.14279/depositonce-7942 fatcat:2ca4ccz5bzb2lojrqrpsxhmzve


Katy Huff, David Lippa, Dillon Niederhut, M Pacer, Serge Rey, Program Chairs, Juan Communications, Shishido, David Lippa, Katy Huff, M Pacer, Dillon Niederhut (+44 others)
Proceedings of the 15th Python in Science Conference July 10-July 16 •   unpublished
We are grateful for computer time provided for this purpose by the JARA-HPC We would like to thank Dr.  ...  Francesco Pontiggia for helping us solidify many of our data handling and computing ideas and Dr. Jian-You Lin for being the first independent tester of our toolchain.  ...  data with ease on a shared computing resource or on personal workstations.  ... 
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