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. 1807.07295
  4. Cited By
Operator-in-the-Loop Deep Sequential Multi-camera Feature Fusion for
  Person Re-identification
v1v2v3v4 (latest)

Operator-in-the-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification

19 July 2018
K. L. Navaneet
Ravi Kiran Sarvadevabhatla
Shashank Shekhar
R. Venkatesh Babu
Anirban Chakraborty
ArXiv (abs)PDFHTML

Papers citing "Operator-in-the-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification"

4 / 4 papers shown
Title
FADE: A Dataset for Detecting Falling Objects around Buildings in Video
FADE: A Dataset for Detecting Falling Objects around Buildings in Video
Zhigang Tu
Zitao Gao
Zhengbo Zhang
Chunluan Zhou
Junsong Yuan
Bo Du
107
0
0
11 Aug 2024
End-to-End Domain Adaptive Attention Network for Cross-Domain Person
  Re-Identification
End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification
Amena Khatun
Simon Denman
Sridha Sridharan
Clinton Fookes
78
19
0
07 May 2020
Rethinking Temporal Fusion for Video-based Person Re-identification on
  Semantic and Time Aspect
Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspect
Xinyang Jiang
Yifei Gong
Xiao-Wei Guo
Q. Yang
Feiyue Huang
Weishi Zheng
Feng Zheng
Xing Sun
54
18
0
28 Nov 2019
A Scalable Platform for Distributed Object Tracking across a Many-camera
  Network
A Scalable Platform for Distributed Object Tracking across a Many-camera Network
Aakash Khochare
Aravindhan K. Krishnan
Yogesh L. Simmhan
VOT
39
15
0
14 Feb 2019
1