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Xinjie Li

4 papers hereh-index 7365 citations11 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV3
  • cs.IR1
same name
  • Xinjie Li — 5 papers, h 2
  • Xinjie Li — 3 papers, h 2
  • Xinjie Li — 2 papers, h 1
  • Xinjie Li — 2 papers, h 2
  • Xinjie Li — 1 paper, h 4
  • Xinjie Li — 1 paper, h 2

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 citedSemantic Bilinear Pooling for Fine-Grained Recognition

4 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2023★ 1 cited

On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation

Haibo Ye, Xinjie Li, Yuan Yao +1

In recommender systems, knowledge graph (KG) can offer critical information that is lacking in the original user-item interaction graph (IG). Recent process has explored this direc…

cs.CV2022

SD-GAN: Semantic Decomposition for Face Image Synthesis with Discrete Attribute

Zhou Kangneng, Zhu Xiaobin, Gao Daiheng +3

Manipulating latent code in generative adversarial networks (GANs) for facial image synthesis mainly focuses on continuous attribute synthesis (e.g., age, pose and emotion), while…

cs.CV2021

Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising

Xinjie Li, Guojia Hou, Kunqian Li +1

Images captured underwater are often characterized by low contrast, color distortion, and noise. To address these visual degradations, we propose a novel scheme by constructing an…

cs.CV2019★ 4 cited

Semantic Bilinear Pooling for Fine-Grained Recognition

Xinjie Li, Chun Yang, Songlu Chen +2

Naturally, fine-grained recognition, e.g., vehicle identification or bird classification, has specific hierarchical labels, where fine categories are always harder to be classified…

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