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Xi Yang

5 papers here

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

author position
  • first author2
  • middle author2
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LO1
same name
  • Xi Yang — 13 papers, h 11
  • Xi Yang — 8 papers, h 16
  • Xi Yang — 7 papers, h 4
  • Xi Yang — 6 papers
  • Xi Yang — 6 papers, h 4
  • Xi Yang — 5 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
20182026
most citedTowards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin

6 citations · 6 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective

Songsong Duan, Xi Yang, Nannan Wang +1

Current RGB-D methods usually leverage large-scale backbones to improve accuracy but sacrifice efficiency. Meanwhile, several existing lightweight methods are difficult to achieve…

cs.CV2024

SA3DIP: Segment Any 3D Instance with Potential 3D Priors

Xi Yang, Xu Gu, Xingyilang Yin +1

The proliferation of 2D foundation models has sparked research into adapting them for open-world 3D instance segmentation. Recent methods introduce a paradigm that leverages superp…

cs.CV2022★ 6 cited

Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin

Hangyu Li, Nannan Wang, Xi Yang +2

Only parts of unlabeled data are selected to train models for most semi-supervised learning methods, whose confidence scores are usually higher than the pre-defined threshold (i.e.…

cs.CV2018

Saliency deep embedding for aurora image search

Xi Yang, Xinbo Gao, Bin Song +2

Deep neural networks have achieved remarkable success in the field of image search. However, the state-of-the-art algorithms are trained and tested for natural images captured with…

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