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Zhiqiang Shen

4 papers here

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CV4
ORCID 0000-0002-4560-5092
same name
  • Zhiqiang Shen — 32 papers, h 33
  • Zhiqiang Shen — 24 papers, h 16
  • Zhiqiang Shen — 17 papers, h 5
  • Zhiqiang Shen — 14 papers, h 9
  • Zhiqiang Shen — 12 papers, h 3
  • Zhiqiang Shen — 9 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
20142023
most citedDo More Dropouts in Pool5 Feature Maps for Better Object Detection

7 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning

Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao

We present a new self-supervised paradigm on point cloud sequence understanding. Inspired by the discriminative and generative self-supervised methods, we design two tasks, namely…

cs.CV2023★ 2 cited

PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos

Zhiqiang Shen, Xiaoxiao Sheng, Longguang Wang +3

Self-supervised learning can extract representations of good quality from solely unlabeled data, which is appealing for point cloud videos due to their high labelling cost. In this…

cs.CV2021★ 2 cited

A Fast Knowledge Distillation Framework for Visual Recognition

Zhiqiang Shen, Eric Xing

While Knowledge Distillation (KD) has been recognized as a useful tool in many visual tasks, such as supervised classification and self-supervised representation learning, the main…

cs.CV2014★ 7 cited

Do More Dropouts in Pool5 Feature Maps for Better Object Detection

Zhiqiang Shen, Xiangyang Xue

Deep Convolutional Neural Networks (CNNs) have gained great success in image classification and object detection. In these fields, the outputs of all layers of CNNs are usually con…

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