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Sen Jia

4 papers hereh-index 345.3k citations108 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • Sen Jia — 11 papers, h 18
  • Sen Jia — 8 papers, h 6
  • 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
20202022
most citedA Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples

373 citations · 378 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 4 cited

Multiscale Convolutional Transformer with Center Mask Pretraining for Hyperspectral Image Classification

Sen Jia, Yifan Wang

Hyperspectral images (HSI) not only have a broad macroscopic field of view but also contain rich spectral information, and the types of surface objects can be identified through sp…

cs.CV2021★ 373 cited

A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples

Sen Jia, Shuguo Jiang, Zhijie Lin +3

With the rapid development of deep learning technology and improvement in computing capability, deep learning has been widely used in the field of hyperspectral image (HSI) classif…

eess.IV2021★ 1 cited

Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images

Zhiyu Zhu, Hui Liu, Junhui Hou +2

This paper investigates the problem of recovering hyperspectral (HS) images from single RGB images. To tackle such a severely ill-posed problem, we propose a physically-interpretab…

cs.CV2020

Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve

Sen Jia, Neil D. B. Bruce

Saliency detection has been widely studied because it plays an important role in various vision applications, but it is difficult to evaluate saliency systems because each measure…

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