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Xin Su

4 papers hereh-index 10276 citations25 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV4
same name
  • Xin Su — 17 papers, h 5
  • Xin Su — 8 papers, h 3
  • Xin Su — 6 papers, h 1
  • Xin Su — 6 papers, h 4
  • Xin Su — 5 papers, h 17
  • Xin Su — 4 papers, h 2

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 citedObject Detection based on OcSaFPN in Aerial Images with Noise

3 citations · 6 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

REMM:Rotation-Equivariant Framework for End-to-End Multimodal Image Matching

Han Nie, Bin Luo, Jun Liu +3

We present REMM, a rotation-equivariant framework for end-to-end multimodal image matching, which fully encodes rotational differences of descriptors in the whole matching pipeline…

cs.CV2024★ 3 cited

Source-free Domain Adaptive Object Detection in Remote Sensing Images

Weixing Liu, Jun Liu, Xin Su +2

Recent studies have used unsupervised domain adaptive object detection (UDAOD) methods to bridge the domain gap in remote sensing (RS) images. However, UDAOD methods typically assu…

cs.CV2020★ 3 cited

Object Detection based on OcSaFPN in Aerial Images with Noise

Chengyuan Li, Jun Liu, Hailong Hong +5

Taking the deep learning-based algorithms into account has become a crucial way to boost object detection performance in aerial images. While various neural network representations…

cs.CV2020

DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation

Chenjie Wang, Bin Luo, Yun Zhang +6

Most SLAM algorithms are based on the assumption that the scene is static. However, in practice, most scenes are dynamic which usually contains moving objects, these methods are no…

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