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Pu Li

4 papers hereh-index 5126 citations10 works total

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

author position
  • first author4

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

fields
  • cs.CV3
  • q-bio.QM1
same name
  • Pu Li — 7 papers, h 16
  • Pu Li — 6 papers, h 4
  • Pu Li — 6 papers, h 4
  • Pu Li — 4 papers, h 4
  • Pu Li — 4 papers, h 3
  • Pu Li — 2 papers, h 19

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 citedLearning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms

14 citations · 19 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

Learning Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial Video

Pu Li, Xiaobai Liu

This paper presents an unsupervised approach that leverages raw aerial videos to learn to estimate planar homographic transformation between consecutive video frames. Previous lear…

cs.CV2023★ 14 cited

Learning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms

Pu Li, Marie Roch, Holger Klinck +5

Whistle contour extraction aims to derive animal whistles from time-frequency spectrograms as polylines. For toothed whales, whistle extraction results can serve as the basis for a…

cs.CV2023

SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations

Pu Li, Jianwei Guo, Xiaopeng Zhang +1

Reverse engineering CAD models from raw geometry is a classic but strenuous research problem. Previous learning-based methods rely heavily on labels due to the supervised design pa…

q-bio.QM2020★ 4 cited

Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours

Pu Li, Xiaobai Liua, K. J. Palmer +8

We present a learning-based method for extracting whistles of toothed whales (Odontoceti) in hydrophone recordings. Our method represents audio signals as time-frequency spectrogra…

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