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J. Barron

44 papers hereh-index 5935.7k citations91 works total

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

author position
  • sole author2
  • first author1
  • middle author35
  • last author6

Across the 44 of 44 papers where every author was matched, so the position is known.

fields
  • cs.CV36
  • cs.GR4
  • cs.AI1
  • cs.LG1
  • cs.RO1
  • eess.IV1
same name
  • J. Barron — 3 papers, h 3
  • J. Barron — 2 papers, h 1
  • J. Barron — 1 paper, h 0

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
20172026
most citedFourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

1.2k citations · 3.2k across the 21 of their papers we have counts for

collaborators
Showing cs.GRShow all

4 papers · 1 filter

cs.GR2020

A Convenient Generalization of Schlick's Bias and Gain Functions

Jonathan T. Barron

We present a generalization of Schlick's bias and gain functions -- simple parametric curve-shaped functions for inputs in [0, 1]. Our single function includes both bias and gain a…

cs.GR2020

Light Stage Super-Resolution: Continuous High-Frequency Relighting

Tiancheng Sun, Zexiang Xu, Xiuming Zhang +6

The light stage has been widely used in computer graphics for the past two decades, primarily to enable the relighting of human faces. By capturing the appearance of the human subj…

cs.GR2019★ 274 cited

Single Image Portrait Relighting

Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai +7

Lighting plays a central role in conveying the essence and depth of the subject in a portrait photograph. Professional photographers will carefully control the lighting in their st…

cs.GR2017★ 832 cited

Deep Bilateral Learning for Real-Time Image Enhancement

Michaël Gharbi, Jiawen Chen, Jonathan T. Barron +2

Performance is a critical challenge in mobile image processing. Given a reference imaging pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements an…

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