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researcher

Jan Kautz

15 papers hereh-index 172.4k citations22 works total

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

author position
  • middle author2
  • last author13

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV15
same name
  • Jan Kautz — 91 papers, h 44
  • Jan Kautz — 40 papers, h 30
  • Jan Kautz — 27 papers, h 21
  • Jan Kautz — 24 papers, h 24
  • Jan Kautz — 20 papers, h 18
  • Jan Kautz — 15 papers, h 15

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
20172021
most citedTwo-shot Spatially-varying BRDF and Shape Estimation

74 citations · 153 across the 12 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019

NRMVS: Non-Rigid Multi-View Stereo

Matthias Innmann, Kihwan Kim, Jinwei Gu +4

Scene reconstruction from unorganized RGB images is an important task in many computer vision applications. Multi-view Stereo (MVS) is a common solution in photogrammetry applicati…

cs.CV2019

Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera

Chao Liu, Jinwei Gu, Kihwan Kim +2

Depth sensing is crucial for 3D reconstruction and scene understanding. Active depth sensors provide dense metric measurements, but often suffer from limitations such as restricted…

cs.CV2019★ 6 cited

PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image

Chen Liu, Kihwan Kim, Jinwei Gu +2

This paper proposes a deep neural architecture, PlaneRCNN, that detects and reconstructs piecewise planar surfaces from a single RGB image. PlaneRCNN employs a variant of Mask R-CN…

cs.CV2019

Neural Inverse Rendering of an Indoor Scene from a Single Image

Soumyadip Sengupta, Jinwei Gu, Kihwan Kim +3

Inverse rendering aims to estimate physical attributes of a scene, e.g., reflectance, geometry, and lighting, from image(s). Inverse rendering has been studied primarily for single…

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