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Long Chen

4 papers here

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

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • Long Chen — 4 papers, h 35
  • Long Chen — 3 papers, h 29
  • Long Chen — 3 papers, h 11
  • Long Chen — 3 papers, h 17
  • Long Chen — 3 papers
  • Long Chen — 3 papers

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

most citedUnderwater object detection using Invert Multi-Class Adaboost with deep learning

11 citations · 25 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2020★ 7 cited

Perceptual underwater image enhancement with deep learning and physical priors

Long Chen, Zheheng Jiang, Lei Tong +5

Underwater image enhancement, as a pre-processing step to improve the accuracy of the following object detection task, has drawn considerable attention in the field of underwater n…

eess.IV2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Kai Zhang, Martin Danelljan, Yawei Li +75

This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…

cs.CV2020★ 7 cited

A Benchmark dataset for both underwater image enhancement and underwater object detection

Long Chen, Lei Tong, Feixiang Zhou +5

Underwater image enhancement is such an important vision task due to its significance in marine engineering and aquatic robot. It is usually work as a pre-processing step to improv…

cs.CV2020★ 11 cited

Underwater object detection using Invert Multi-Class Adaboost with deep learning

Long Chen, Zhihua Liu, Lei Tong +4

In recent years, deep learning based methods have achieved promising performance in standard object detection. However, these methods lack sufficient capabilities to handle underwa…

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