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Zihao Li

8 papers hereh-index 8273 citations14 works total

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

author position
  • first author4
  • middle author3
  • last author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • q-bio.QM2
  • eess.IV1
  • math.NA1
same name
  • Zihao Li — 26 papers, h 11
  • Zihao Li — 23 papers, h 11
  • Zihao Li — 15 papers, h 7
  • Zihao Li — 11 papers, h 7
  • Zihao Li — 11 papers, h 7
  • Zihao Li — 10 papers, h 4

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
20192023
most citedLatent Space Diffusion Models of Cryo-EM Structures

12 citations · 18 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Dynamic Local Feature Aggregation for Learning on Point Clouds

Zihao Li, Pan Gao, Hui Yuan +1

Existing point cloud learning methods aggregate features from neighbouring points relying on constructing graph in the spatial domain, which results in feature update for each poin…

cs.CV2022

Generative Modeling in Structural-Hankel Domain for Color Image Inpainting

Zihao Li, Chunhua Wu, Shenglin Wu +3

In recent years, some researchers focused on using a single image to obtain a large number of samples through multi-scale features. This study intends to a brand-new idea that requ…

cs.CV2020

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices

Shu Zhang, Jincheng Xu, Yu-Chun Chen +4

Universal lesion detection from computed tomography (CT) slices is important for comprehensive disease screening. Since each lesion can locate in multiple adjacent slices, 3D conte…

cs.CV2019

MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection

Zihao Li, Shu Zhang, Junge Zhang +3

Universal lesion detection (ULD) on computed tomography (CT) images is an important but underdeveloped problem. Recently, deep learning-based approaches have been proposed for ULD,…

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