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Sheng Guo

22 papers hereh-index 171.7k citations33 works total

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

author position
  • first author5
  • middle author16
  • last author1

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

fields
  • cs.CV22
same name
  • Sheng Guo — 11 papers, h 16
  • Sheng Guo — 8 papers, h 1
  • Sheng Guo — 6 papers, h 2
  • Sheng Guo — 5 papers, h 3
  • Sheng Guo — 4 papers, h 3
  • Sheng Guo — 3 papers, h 4

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
20152025
most citedKnowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs

157 citations · 510 across the 21 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 2 cited

Representation Sharing for Fast Object Detector Search and Beyond

Yujie Zhong, Zelu Deng, Sheng Guo +2

Region Proposal Network (RPN) provides strong support for handling the scale variation of objects in two-stage object detection. For one-stage detectors which do not have RPN, it i…

cs.CV2020★ 11 cited

Wavelet Integrated CNNs for Noise-Robust Image Classification

Qiufu Li, Linlin Shen, Sheng Guo +1

Convolutional Neural Networks (CNNs) are generally prone to noise interruptions, i.e., small image noise can cause drastic changes in the output. To suppress the noise effect to th…

cs.CV2020★ 2 cited

Knowledge Integration Networks for Action Recognition

Shiwen Zhang, Sheng Guo, Limin Wang +2

In this work, we propose Knowledge Integration Networks (referred as KINet) for video action recognition. KINet is capable of aggregating meaningful context features which are of g…

cs.CV2020★ 48 cited

V4D:4D Convolutional Neural Networks for Video-level Representation Learning

Shiwen Zhang, Sheng Guo, Weilin Huang +2

Most existing 3D CNNs for video representation learning are clip-based methods, and thus do not consider video-level temporal evolution of spatio-temporal features. In this paper,…

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