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Jie Guo

13 papers hereh-index 181k citations79 works total

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

author position
  • first author1
  • middle author12

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.GR1
same name
  • Jie Guo — 17 papers, h 8
  • Jie Guo — 11 papers, h 17
  • Jie Guo — 11 papers, h 6
  • Jie Guo — 6 papers, h 10
  • Jie Guo — 6 papers, h 11
  • Jie Guo — 4 papers, h 1

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 citedImage Stitching Based on Planar Region Consensus

33 citations · 78 across the 13 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 2 cited

SVBRDF Recovery From a Single Image With Highlights using a Pretrained Generative Adversarial Network

Tao Wen, Beibei Wang, Lei Zhang +2

Spatially-varying bi-directional reflectance distribution functions (SVBRDFs) are crucial for designers to incorporate new materials in virtual scenes, making them look more realis…

cs.CV2021

A Transductive Maximum Margin Classifier for Few-Shot Learning

Fei Pan, Chunlei Xu, Jie Guo +1

Few-shot learning aims to train a classifier that can generalize well when just a small number of labeled examples per class are given. We introduce a transductive maximum margin c…

cs.CV2021★ 2 cited

Temporal Alignment Prediction for Few-Shot Video Classification

Fei Pan, Chunlei Xu, Jie Guo +1

The goal of few-shot video classification is to learn a classification model with good generalization ability when trained with only a few labeled videos. However, it is difficult…

cs.GR2021

Rendering Discrete Participating Media with Geometrical Optics Approximation

Jie Guo, Bingyang Hu, Yanjun Chen +3

We consider the scattering of light in participating media composed of sparsely and randomly distributed discrete particles. The particle size is expected to range from the scale o…

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