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researcher

Qing Liao

4 papers hereh-index 9884 citations10 works total

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

author position
  • middle author4

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

fields
  • cs.CV2
  • cs.AI1
  • cs.LG1
same name
  • Qing Liao — 13 papers, h 7
  • Qing Liao — 7 papers, h 10
  • Qing Liao — 6 papers, h 46
  • Qing Liao — 4 papers, h 11
  • Qing Liao — 4 papers, h 5
  • Qing Liao — 3 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
20212023
most citedCalibrated One-class Classification for Unsupervised Time Series Anomaly Detection

17 citations · 38 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Unbiased Scene Graph Generation via Two-stage Causal Modeling

Shuzhou Sun, Shuaifeng Zhi, Qing Liao +2

Despite the impressive performance of recent unbiased Scene Graph Generation (SGG) methods, the current debiasing literature mainly focuses on the long-tailed distribution problem,…

cs.AI2023★ 7 cited

Deep Intellectual Property Protection: A Survey

Yuchen Sun, Tianpeng Liu, Panhe Hu +6

Deep Neural Networks (DNNs), from AlexNet to ResNet to ChatGPT, have made revolutionary progress in recent years, and are widely used in various fields. The high performance of DNN…

cs.LG2022★ 17 cited

Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection

Hongzuo Xu, Yijie Wang, Songlei Jian +3

Time series anomaly detection is instrumental in maintaining system availability in various domains. Current work in this research line mainly focuses on learning data normality de…

cs.CV2021★ 14 cited

Pixel Difference Networks for Efficient Edge Detection

Zhuo Su, Wenzhe Liu, Zitong Yu +5

Recently, deep Convolutional Neural Networks (CNNs) can achieve human-level performance in edge detection with the rich and abstract edge representation capacities. However, the hi…

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