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Zhe Chen

University of Sydney

21 papers hereh-index 263.1k citations63 works total

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

author position
  • first author6
  • middle author12
  • last author2

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

fields
  • cs.CV20
  • cs.MM1
affiliations
  • University of Sydney
same name
  • Zhe Chen — 23 papers, h 19
  • Zhe Chen — 22 papers, h 19
  • Zhe Chen — 17 papers, h 22
  • Zhe Chen — 16 papers, h 16
  • Zhe Chen — 15 papers, h 10
  • Zhe Chen — 13 papers, h 6

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
20192023
most citedProgressive LiDAR Adaptation for Road Detection

207 citations · 291 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021

Recurrent Glimpse-based Decoder for Detection with Transformer

Zhe Chen, Jing Zhang, Dacheng Tao

Although detection with Transformer (DETR) is increasingly popular, its global attention modeling requires an extremely long training period to optimize and achieve promising detec…

cs.CV2021★ 4 cited

Expression Snippet Transformer for Robust Video-based Facial Expression Recognition

Yuanyuan Liu, Wenbin Wang, Chuanxu Feng +3

The recent success of Transformer has provided a new direction to various visual understanding tasks, including video-based facial expression recognition (FER). By modeling visual…

cs.CV2021

VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows

Xiao Wang, Jianing Li, Lin Zhu +6

Different from visible cameras which record intensity images frame by frame, the biologically inspired event camera produces a stream of asynchronous and sparse events with much lo…

cs.CV2021

Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking

Xiao Wang, Zhe Chen, Jin Tang +4

Most of the existing single object trackers track the target in a unitary local search window, making them particularly vulnerable to challenging factors such as heavy occlusions a…

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