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Jie Hu

7 papers hereh-index 446 citations5 works total

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

author position
  • middle author5

Across the 5 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
  • cs.RO1
same name
  • Jie Hu — 18 papers, h 18
  • Jie Hu — 16 papers, h 10
  • Jie Hu — 14 papers, h 7
  • Jie Hu — 11 papers, h 4
  • Jie Hu — 10 papers, h 5
  • Jie Hu — 10 papers, h 8

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
20212026
most citedRethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective

1 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

Self-Supervised Representation Learning with Meta Comprehensive Regularization

Huijie Guo, Ying Ba, Jie Hu +3

Self-Supervised Learning (SSL) methods harness the concept of semantic invariance by utilizing data augmentation strategies to produce similar representations for different deforma…

cs.CV2023

Information Theory-Guided Heuristic Progressive Multi-View Coding

Jiangmeng Li, Hang Gao, Wenwen Qiang +1

Multi-view representation learning aims to capture comprehensive information from multiple views of a shared context. Recent works intuitively apply contrastive learning to differe…

cs.CV2023★ 1 cited

Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation

Xingzhe Su, Wenwen Qiang, Jie Hu +3

Generative adversarial networks (GANs) have achieved remarkable progress in the natural image field. However, when applying GANs in the remote sensing (RS) image generation task, a…

cs.CV2021★ 1 cited

Information Theory-Guided Heuristic Progressive Multi-View Coding

Jiangmeng Li, Wenwen Qiang, Hang Gao +5

Multi-view representation learning captures comprehensive information from multiple views of a shared context. Recent works intuitively apply contrastive learning (CL) to learn rep…

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