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Xiaoyu Dong

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV3
  • cond-mat.str-el1
ORCID 0000-0001-6717-9779
same name
  • Xiaoyu Dong — 3 papers
  • Xiaoyu Dong — 3 papers
  • Xiaoyu Dong — 1 paper
  • Xiaoyu Dong — 1 paper

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 citedV2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception

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

collaborators

4 papers

cs.CV2023★ 1 cited

Understanding Dark Scenes by Contrasting Multi-Modal Observations

Xiaoyu Dong, Naoto Yokoya

Understanding dark scenes based on multi-modal image data is challenging, as both the visible and auxiliary modalities provide limited semantic information for the task. Previous m…

cond-mat.str-el2023

Nematic chiral spin liquid in a Kitaev magnet under external magnetic field

Shun-Yao Yu, Han Li, Qi-Rong Zhao +5

The possible existence of a quantum spin liquid (QSL) phase, an exotic state of matter with long-range quantum entanglement and fractionalized excitations, in α-RuCl3​ has spar…

cs.CV2023★ 4 cited

V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception

Runsheng Xu, Xin Xia, Jinlong Li +10

Modern perception systems of autonomous vehicles are known to be sensitive to occlusions and lack the capability of long perceiving range. It has been one of the key bottlenecks th…

cs.CV2022★ 1 cited

Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution

Xiaoyu Dong, Naoto Yokoya, Longguang Wang +1

Self-supervised cross-modal super-resolution (SR) can overcome the difficulty of acquiring paired training data, but is challenging because only low-resolution (LR) source and high…

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