Cited by 946Image Enhancement TechniquesGenerative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

The DOI matches its Crossref record; 48 of the 51 references it cites were found in a registry or an index.

Learning Representations for Automatic Colorization

Larsson, Gustav, Maire, Michael, Shakhnarovich, Gregory·2016·Lecture Notes in Computer Science

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-319-46493-0_35

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

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Verification

Claims the paper makes

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Citations

Cites

Show all 51 references

Research works printed but not linked: 3

  1. Donahue, J., Krähenbühl, P., Darrell, T.: Adversarial feature learning (2016). arXiv preprint arXiv:1605.09782 · arXiv
  2. Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: convolutional architecture for fast feature embedding (2014). arXiv preprint arXiv:1408.5093 · arXiv
  3. Liu, W., Rabinovich, A., Berg, A.C.: Parsenet: looking wider to see better (2015). arXiv preprint arXiv:1506.04579 · arXiv

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Items 901–946 of 946

Metadata

Authors
Larsson, G., Maire, M., & Shakhnarovich, G.
Affiliations
  • University of Chicago (US)
  • Toyota Technological Institute at Chicago (US)
Corresponding author
Larsson, Gustav
Venue
Lecture Notes in Computer Science
Published
2016
Pages
577-593
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2308529009
Cited by
946
References
51
Citations by year
2026: 25 · 2025: 45 · 2024: 75 · 2023: 109 · 2022: 179 · 2021: 176 · 2020: 133 · 2019: 93 · 2018: 63 · 2017: 43 · 2016: 5
FWCI
23.60
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Keywords
image colorization, automatic colorization, self-supervised visual representation learning, semantic representation

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