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Zhe Chen

University of Sydney

22 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 author7
  • middle author12
  • last author2

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV21
  • 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 — 14 papers, h 5

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
20152023
most citedProgressive LiDAR Adaptation for Road Detection

207 citations · 479 across the 22 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 30 cited

A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection

Zhe Chen, Wanli Ouyang, Tongliang Liu +1

Deep learning-based computer vision is usually data-hungry. Many researchers attempt to augment datasets with synthesized data to improve model robustness. However, the augmentatio…

cs.CV2019★ 1 cited

Human Keypoint Detection by Progressive Context Refinement

Jing Zhang, Zhe Chen, Dacheng Tao

Human keypoint detection from a single image is very challenging due to occlusion, blur, illumination and scale variance of person instances. In this paper, we find that context in…

cs.CV2019★ 207 cited

Progressive LiDAR Adaptation for Road Detection

Zhe Chen, Jing Zhang, Dacheng Tao

Despite rapid developments in visual image-based road detection, robustly identifying road areas in visual images remains challenging due to issues like illumination changes and bl…

cs.CV2019★ 30 cited

Pedestrian Attribute Recognition: A Survey

Xiao Wang, Shaofei Zheng, Rui Yang +4

Recognizing pedestrian attributes is an important task in the computer vision community due to it plays an important role in video surveillance. Many algorithms have been proposed…

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