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X. An

4 papers hereh-index 151.3k citations79 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CV3
  • cs.LG1
same name
  • X. An — 21 papers, h 20
  • X. An — 15 papers, h 5
  • X. An — 4 papers, h 18
  • X. An — 4 papers, h 18
  • X. An — 2 papers, h 46
  • X. An — 1 paper, 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 citedVisual Saliency Based on Scale-Space Analysis in the Frequency Domain

580 citations · 580 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2026

SH-WRNN: Implicit Spherical Harmonics Weight Field Routing Neural Networks for Asymmetric Edge Intelligence

Zhibin Jiao, Xiangjing An

Deep learning architectures remain rigidly built upon traditional fully connected layers. While networks scale up, few challenge this foundational root. In this work, we reshape th…

cs.CV2026

EdgeFM: Efficient Edge Inference for Vision-Language Models

Mengling Deng, Yuanpeng Chen, Sheng Yang +12

Vision-language models (VLMs) have demonstrated strong applicability in edge industrial applications, yet their deployment remains severely constrained by requirements for determin…

cs.CV2016

Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene

Keyu Lu, Jian Li, Xiangjing An +1

Vision-based object detection is one of the fundamental functions in numerous traffic scene applications such as self-driving vehicle systems and advance driver assistance systems…

cs.CV2016★ 580 cited

Visual Saliency Based on Scale-Space Analysis in the Frequency Domain

Jian Li, Martin Levine, Xiangjing An +2

We address the issue of visual saliency from three perspectives. First, we consider saliency detection as a frequency domain analysis problem. Second, we achieve this by employing…

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