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Zhenglong Sun

4 papers hereh-index 7221 citations9 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Zhenglong Sun — 3 papers, h 22
  • Zhenglong Sun — 3 papers, h 1
  • Zhenglong Sun — 2 papers, h 1
  • Zhenglong Sun — 2 papers
  • Zhenglong Sun — 1 paper

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

most citedImproving Contrastive Learning by Visualizing Feature Transformation

4 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 1 cited

Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition

Peipei Zhu, Xiao Wang, Yong Luo +4

The goal of unpaired image captioning (UIC) is to describe images without using image-caption pairs in the training phase. Although challenging, we except the task can be accomplis…

cs.CV2021★ 1 cited

Unsupervised Monocular Depth Perception: Focusing on Moving Objects

Hualie Jiang, Laiyan Ding, Zhenglong Sun +1

As a flexible passive 3D sensing means, unsupervised learning of depth from monocular videos is becoming an important research topic. It utilizes the photometric errors between the…

cs.CV2021★ 4 cited

Improving Contrastive Learning by Visualizing Feature Transformation

Rui Zhu, Bingchen Zhao, Jingen Liu +2

Contrastive learning, which aims at minimizing the distance between positive pairs while maximizing that of negative ones, has been widely and successfully applied in unsupervised…

cs.CV2021★ 1 cited

BORM: Bayesian Object Relation Model for Indoor Scene Recognition

Liguang Zhou, Jun Cen, Xingchao Wang +3

Scene recognition is a fundamental task in robotic perception. For human beings, scene recognition is reasonable because they have abundant object knowledge of the real world. The…

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