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Sen Jia

11 papers hereh-index 181.5k citations31 works total

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

author position
  • first author2
  • middle author8

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • eess.IV2
  • cs.LG1
same name
  • Sen Jia — 8 papers, h 6
  • Sen Jia — 4 papers, h 34
  • Sen Jia — 2 papers, h 3
  • Sen Jia — 1 paper, h 2
  • Sen Jia — 1 paper, h 3

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
20182021
most citedHow Much Position Information Do Convolutional Neural Networks Encode?

94 citations · 201 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 8 cited

Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications

Qing Li, Jiasong Zhu, Jun Liu +4

Estimating depth from RGB images can facilitate many computer vision tasks, such as indoor localization, height estimation, and simultaneous localization and mapping (SLAM). Recent…

eess.IV2020★ 3 cited

Deep Low-rank plus Sparse Network for Dynamic MR Imaging

Wenqi Huang, Ziwen Ke, Zhuo-Xu Cui +6

In dynamic magnetic resonance (MR) imaging, low-rank plus sparse (L+S) decomposition, or robust principal component analysis (PCA), has achieved stunning performance. However, the…

eess.IV2020★ 2 cited

Deep Low-rank Prior in Dynamic MR Imaging

Ziwen Ke, Wenqi Huang, Jing Cheng +8

The deep learning methods have achieved attractive performance in dynamic MR cine imaging. However, all of these methods are only driven by the sparse prior of MR images, while the…

cs.CV2020★ 94 cited

How Much Position Information Do Convolutional Neural Networks Encode?

Md Amirul Islam, Sen Jia, Neil D. B. Bruce

In contrast to fully connected networks, Convolutional Neural Networks (CNNs) achieve efficiency by learning weights associated with local filters with a finite spatial extent. An…

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