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Xin Fan

31 papers hereh-index 388.8k citations224 works total

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

author position
  • first author2
  • middle author24
  • last author5

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CV24
  • eess.IV3
  • math.NA3
  • cs.LG1
same name
  • Xin Fan — 10 papers, h 24
  • Xin Fan — 7 papers, h 11
  • Xin Fan — 4 papers, h 4
  • Xin Fan — 3 papers, h 3
  • Xin Fan — 2 papers, h 8
  • Xin Fan — 2 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
20162023
most citedA Dataset And Benchmark Of Underwater Object Detection For Robot Picking

254 citations · 896 across the 31 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

eess.IV2019★ 1 cited

Converged Deep Framework Assembling Principled Modules for CS-MRI

Risheng Liu, Yuxi Zhang, Shichao Cheng +2

Compressed Sensing Magnetic Resonance Imaging (CS-MRI) significantly accelerates MR data acquisition at a sampling rate much lower than the Nyquist criterion. A major challenge for…

cs.CV2019★ 30 cited

Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling

Risheng Liu, Pan Mu, Jian Chen +2

Properly modeling latent image distributions plays an important role in a variety of image-related vision problems. Most exiting approaches aim to formulate this problem as optimiz…

cs.CV2019★ 3 cited

Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation

Risheng Liu, Long Ma, Yuxi Zhang +2

Enhancing visual qualities for underexposed images is an extensively concerned task that plays important roles in various areas of multimedia and computer vision. Most existing met…

cs.CV2019★ 25 cited

Real-world Underwater Enhancement: Challenges, Benchmarks, and Solutions

Risheng Liu, Xin Fan, Ming Zhu +2

Underwater image enhancement is such an important low-level vision task with many applications that numerous algorithms have been proposed in recent years. These algorithms develop…

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