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Wenjun Zhang

21 papers hereh-index 4610k citations405 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author15

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.IT8
  • cs.CV7
  • cs.MM2
  • cs.NI2
  • eess.IV1
  • eess.SP1
same name
  • Wenjun Zhang — 37 papers, h 9
  • Wenjun Zhang — 36 papers, h 17
  • Wenjun Zhang — 18 papers, h 7
  • Wenjun Zhang — 16 papers, h 13
  • Wenjun Zhang — 14 papers, h 7
  • Wenjun Zhang — 9 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102021
most citedThe Performance Analysis of Coded Cache in Wireless Fading Channel

42 citations · 107 across the 21 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 8 cited

Adversarial Domain Adaptation with Domain Mixup

Minghao Xu, Jian Zhang, Bingbing Ni +4

Recent works on domain adaptation reveal the effectiveness of adversarial learning on filling the discrepancy between source and target domains. However, two common limitations exi…

cs.NI2019★ 1 cited

An Algorithm for Transmitting VR Video Based on Adaptive Modulation

Jie Feng, Yongpeng Wu, Guangtao Zhai +2

Virtual reality (VR) is making waves around the world recently. However, traditional video streaming is not suitable for VR video because of the huge size and view switch requireme…

cs.CV2019★ 1 cited

Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks

Muming Zhao, Jian Zhang, Chongyang Zhang +1

High-density object counting in surveillance scenes is challenging mainly due to the drastic variation of object scales. The prevalence of deep learning has largely boosted the obj…

cs.CV2019★ 3 cited

Online Multi-Object Tracking with Dual Matching Attention Networks

Ji Zhu, Hua Yang, Nian Liu +3

In this paper, we propose an online Multi-Object Tracking (MOT) approach which integrates the merits of single object tracking and data association methods in a unified framework t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.