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researcher

J. Ren

31 papers hereh-index 457.9k citations508 works total

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

author position
  • first author12
  • middle author17
  • last author1

Across the 30 of 31 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV4
  • cs.IT4
  • cond-mat.mtrl-sci3
  • cs.CR3
  • cs.PF3
same name
  • J. Ren — 33 papers, h 26
  • J. Ren — 10 papers, h 8
  • J. Ren — 7 papers, h 5
  • J. Ren — 5 papers, h 3
  • J. Ren — 3 papers
  • J. Ren — 3 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
20062023
most citedControlling complex networks: How much energy is needed?

424 citations · 801 across the 31 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection

Jie Ren, Wenya Yu, Jiapan Guo +2

Interest point detection methods have received increasing attention and are widely used in computer vision tasks such as image retrieval and 3D reconstruction. In this work, second…

cs.CV2022

Exemplar-Based Image Colorization with A Learning Framework

Zhenfeng Xue, Jiandang Yang, Jie Ren +1

Image learning and colorization are hot spots in multimedia domain. Inspired by the learning capability of humans, in this paper, we propose an automatic colorization method with a…

cs.CV2021

ESOD:Edge-based Task Scheduling for Object Detection

Yihao Wang, Ling Gao, Jie Ren +4

Object Detection on the mobile system is a challenge in terms of everything. Nowadays, many object detection models have been designed, and most of them concentrate on precision. H…

cs.CV2018★ 5 cited

Explaining Neural Networks Semantically and Quantitatively

Runjin Chen, Hao Chen, Ge Huang +2

This paper presents a method to explain the knowledge encoded in a convolutional neural network (CNN) quantitatively and semantically. The analysis of the specific rationale of eac…

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