ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.14878
  4. Cited By
MessyTable: Instance Association in Multiple Camera Views

MessyTable: Instance Association in Multiple Camera Views

29 July 2020
Zhongang Cai
Junzhe Zhang
Daxuan Ren
Cunjun Yu
Haiyu Zhao
Shuai Yi
C. Yeo
Chen Change Loy
    VOS
ArXivPDFHTML

Papers citing "MessyTable: Instance Association in Multiple Camera Views"

21 / 21 papers shown
Title
Deep Learning for Person Re-identification: A Survey and Outlook
Deep Learning for Person Re-identification: A Survey and Outlook
Mang Ye
Jianbing Shen
Gaojie Lin
Tao Xiang
Ling Shao
Guosheng Lin
81
1,560
0
13 Jan 2020
Learning Dense Wide Baseline Stereo Matching for People
Learning Dense Wide Baseline Stereo Matching for People
Jon Gauthier
Armin Mustafa
R. Levy
Adrian Hilton
3DH
3DV
21
4
0
02 Oct 2019
Multiple Object Tracking with Motion and Appearance Cues
Multiple Object Tracking with Motion and Appearance Cues
Weiqiang Li
Jiatong Mu
Guizhong Liu
VOT
44
23
0
01 Sep 2019
RPC: A Large-Scale Retail Product Checkout Dataset
RPC: A Large-Scale Retail Product Checkout Dataset
Xiu-Shen Wei
Quan Cui
Lei Yang
Peng Wang
Lingqiao Liu
30
124
0
22 Jan 2019
Semantic Driven Multi-Camera Pedestrian Detection
Semantic Driven Multi-Camera Pedestrian Detection
Alejandro López-Cifuentes
Marcos Escudero-Viñolo
Jesús Bescós
Pablo Carballeira
40
25
0
27 Dec 2018
From handcrafted to deep local features
From handcrafted to deep local features
G. Csurka
C. Dance
Martin Humenberger
40
23
0
26 Jul 2018
Revisiting Temporal Modeling for Video-based Person ReID
Revisiting Temporal Modeling for Video-based Person ReID
J. Gao
Ram Nevatia
BDL
44
143
0
05 May 2018
Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent
  Progress on DukeMTMC Project
Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project
Zhimeng Zhang
Jianan Wu
Xuan Zhang
Chi Zhang
44
80
0
27 Dec 2017
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a
  Strong Convolutional Baseline)
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
Yifan Sun
Liang Zheng
Yi Yang
Q. Tian
Shengjin Wang
124
2,170
0
26 Nov 2017
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Longhui Wei
Shiliang Zhang
Wen Gao
Q. Tian
GAN
86
1,662
0
23 Nov 2017
Deep Network Flow for Multi-Object Tracking
Deep Network Flow for Multi-Object Tracking
S. Schulter
Paul Vernaza
Wongun Choi
Manmohan Chandraker
VOT
55
204
0
26 Jun 2017
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
Pierre Baqué
François Fleuret
Pascal Fua
ObjD
54
92
0
19 Apr 2017
Deep Multi-camera People Detection
Deep Multi-camera People Detection
Tatjana Chavdarova
François Fleuret
3DH
33
75
0
15 Feb 2017
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term
  Dependencies
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies
Amir Sadeghian
Alexandre Alahi
Silvio Savarese
VOT
62
530
0
08 Jan 2017
Performance Measures and a Data Set for Multi-Target, Multi-Camera
  Tracking
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
Ergys Ristani
Francesco Solera
Roger S. Zou
Rita Cucchiara
Carlo Tomasi
63
2,597
0
06 Sep 2016
Online Multi-Target Tracking Using Recurrent Neural Networks
Online Multi-Target Tracking Using Recurrent Neural Networks
Anton Milan
S. Hamid Rezatofighi
A. Dick
Ian Reid
Konrad Schindler
VOT
65
515
0
13 Apr 2016
MOT16: A Benchmark for Multi-Object Tracking
MOT16: A Benchmark for Multi-Object Tracking
Anton Milan
Laura Leal-Taixe
Ian Reid
Stefan Roth
Konrad Schindler
VOT
124
1,788
0
02 Mar 2016
Learning to Compare Image Patches via Convolutional Neural Networks
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko
N. Komodakis
SSL
61
1,434
0
14 Apr 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
272
13,079
0
12 Mar 2015
Multiple Object Tracking: A Literature Review
Multiple Object Tracking: A Literature Review
Wenhan Luo
Junliang Xing
Anton Milan
Xiaoqin Zhang
Wei Liu
Tae-Kyun Kim
VOT
79
803
0
26 Sep 2014
Computing the Stereo Matching Cost with a Convolutional Neural Network
Computing the Stereo Matching Cost with a Convolutional Neural Network
Jure Zbontar
Yann LeCun
3DV
56
767
0
15 Sep 2014
1