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Jie Cao

26 papers hereh-index 216.7k citations42 works total

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

author position
  • first author7
  • middle author19

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV20
  • cs.LG3
  • cs.SD1
  • cs.SI1
  • eess.IV1
same name
  • Jie Cao — 16 papers, h 2
  • Jie Cao — 12 papers, h 19
  • Jie Cao — 12 papers, h 9
  • Jie Cao — 9 papers, h 3
  • Jie Cao — 8 papers, h 22
  • Jie Cao — 7 papers, h 3

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
20172023
most citedLocalViT: Analyzing Locality in Vision Transformers

285 citations · 670 across the 26 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 1 cited

ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data

Jie Cao, Mandi Luo, Junchi Yu +2

Generative Adversarial Networks (GANs) typically suffer from overfitting when limited training data is available. To facilitate GAN training, current methods propose to use data-sp…

cs.CV2022★ 4 cited

Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification

Jijie Wu, Dongliang Chang, Aneeshan Sain +5

The main challenge for fine-grained few-shot image classification is to learn feature representations with higher inter-class and lower intra-class variations, with a mere few labe…

cs.CV2022★ 19 cited

Vision Transformer with Super Token Sampling

Huaibo Huang, Xiaoqiang Zhou, Jie Cao +2

Vision transformer has achieved impressive performance for many vision tasks. However, it may suffer from high redundancy in capturing local features for shallow layers. Local self…

cs.CV2022

Styleverse: Towards Identity Stylization across Heterogeneous Domains

Jia Li, Jie Cao, JunXian Duan +1

We propose a new challenging task namely IDentity Stylization (IDS) across heterogeneous domains. IDS focuses on stylizing the content identity, rather than completely swapping it…

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