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researcher

Xiao Wang

Boston University

31 papers hereh-index 6621.4k citations713 works total

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

author position
  • first author5
  • middle author20
  • last author5

Across the 30 of 31 papers where every author was matched, so the position is known.

fields
  • cs.LG15
  • cs.CV4
  • cs.SI4
  • math.DS2
  • cs.CR1
  • cs.IR1
affiliations
  • Boston University
same name
  • Xiao Wang — 24 papers
  • Xiao Wang — 22 papers, h 35
  • Xiao Wang — 20 papers, h 38
  • Xiao Wang — 19 papers, h 6
  • Xiao Wang — 16 papers
  • Xiao Wang — 16 papers, h 7

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
20162023
most citedStructural Deep Embedding for Hyper-Networks

73 citations · 197 across the 19 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022★ 1 cited

Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach

Xixi Wang, Bo Jiang, Xiao Wang +1

Exploring sample relationships within each mini-batch has shown great potential for learning image representations. Existing works generally adopt the regular Transformer to model…

cs.CV2022★ 2 cited

Tiny Object Tracking: A Large-scale Dataset and A Baseline

Yabin Zhu, Chenglong Li, Yao Liu +4

Tiny objects, frequently appearing in practical applications, have weak appearance and features, and receive increasing interests in meany vision tasks, such as object detection an…

cs.CV2019

\emph{cm}SalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks

Bo Jiang, Zitai Zhou, Xiao Wang +2

Image salient object detection (SOD) is an active research topic in computer vision and multimedia area. Fusing complementary information of RGB and depth has been demonstrated to…

cs.CV2018

Tracking Multiple Moving Objects Using Unscented Kalman Filtering Techniques

Xi Chen, Xiao Wang, Jianhua Xuan

It is an important task to reliably detect and track multiple moving objects for video surveillance and monitoring. However, when occlusion occurs in nonlinear motion scenarios, ma…

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