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Weijun Li

6 papers hereh-index 272.8k citations105 works total

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

author position
  • middle author5

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
same name
  • Weijun Li — 12 papers, h 10
  • Weijun Li — 4 papers, h 4
  • Weijun Li — 4 papers, h 1
  • Weijun Li — 3 papers, h 3
  • Weijun Li — 3 papers, h 8
  • Weijun Li — 2 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
20202023
most citedNVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection

7 citations · 13 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023★ 1 cited

A Survey on Few-Shot Class-Incremental Learning

Songsong Tian, Lusi Li, Weijun Li +3

Large deep learning models are impressive, but they struggle when real-time data is not available. Few-shot class-incremental learning (FSCIL) poses a significant challenge for dee…

cs.CV2020★ 4 cited

GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian

Liping Zhang, Weijun Li, Lina Yu +5

Establishing mathematical models is a ubiquitous and effective method to understand the objective world. Due to complex physiological structures and dynamic behaviors, mathematical…

cs.CV2020★ 1 cited

A Local Descriptor with Physiological Characteristic for Finger Vein Recognition

Liping Zhang, Weijun Li, Xin Ning

Local feature descriptors exhibit great superiority in finger vein recognition due to their stability and robustness against local changes in images. However, most of these are met…

cs.CV2020

Continuous learning of face attribute synthesis

Xin Ning, Shaohui Xu, Xiaoli Dong +3

The generative adversarial network (GAN) exhibits great superiority in the face attribute synthesis task. However, existing methods have very limited effects on the expansion of ne…

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