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Advanced Vision and Imaging

Advanced Vision and Imaging is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 67k research works in it since 1950. 9.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on various aspects of stereo vision, depth estimation, optical flow, and scene reconstruction. It covers topics such as multi-view stereo, unsupervised learning for depth estimation, monocular depth estimation using deep learning, visual servoing, and the use of light field cameras for scene reconstruction.

  • Stereo Vision
  • Depth Estimation
  • Optical Flow
  • Convolutional Networks
  • Multi-View Stereo
  • Unsupervised Learning
  • Monocular Depth Estimation
  • Visual Servoing
  • Light Field
  • Scene Reconstruction
Research works
67k
fractional, since 1950
In the world top 10%
6.5k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+13%
the tick is no change
Largest producer
China
60% of the 10 largest, 2022-now

Which countries lead Advanced Vision and Imaging research?

By volume, China and the United States publish the most (6k and 1.2k works in 2022-now).

By volume, 2022-now

  1. 1 China 6k works
  2. 2 United States 1.2k works
  3. 3 South Korea 541 works
  4. 4 Japan 484 works
  5. 5 India 408 works
  6. 6 Germany 371 works
  7. 7 United Kingdom 319 works
  8. 8 France 250 works
  9. 9 Canada 199 works
  10. 10 Italy 172 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 60.4%United States: 11.8%South Korea: 5.5%Japan: 4.9%6 others listed: 17.4%60%largest
China5,967 · 60.4%United States1,165 · 11.8%South Korea541 · 5.5%Japan484 · 4.9%6 others listed1,718 · 17.4%

Shares of the rows listed above, not of the whole node.

Which institutions lead Advanced Vision and Imaging research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Advanced Vision and Imaging research, followed by Tsinghua University and Shanghai Jiao Tong University.

Who are the leading researchers in Advanced Vision and Imaging?

The most-cited researchers publishing on Advanced Vision and Imaging include Kaiming He, Yoshua Bengio and Geoffrey E. Hinton.

  1. 1 Kaiming He Israel 562k citations
  2. 2 Yoshua Bengio Canada 476k citations
  3. 3 Geoffrey E. Hinton Canada 454k citations
  4. 4 Ross Girshick Israel 356k citations
  5. 5 Xiangyu Zhang 327k citations
  6. 6 Jian Sun 281k citations
  7. 7 Heng Li United States 270k citations
  8. 8 Wei Huang China 267k citations
  9. 9 Xiaogang Wang China 260k citations
  10. 10 Yann LeCun United States 256k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Advanced Vision and Imaging?

The most cited paper in Advanced Vision and Imaging is "Very Deep Convolutional Networks for Large-Scale Image Recognition" (Karen Simonyan, Andrew Zisserman, 2014), with 75,434 citations. Next come "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks" (22,468) and "Snakes: Active contour models" (17,142).

Most cited papers
#PaperReleasedCitations
1 Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) PreprintOpen access 4 Sep 2014 75,434
2 Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks Jun-Yan Zhu, Taesung Park, Phillip Isola et al. Conference paperOpen access Oct 2017 22,468
3 Snakes: Active contour models Michael Kass, Andrew Witkin, Demetri Terzopoulos · International Journal of Computer Vision 1988 17,142
4 Nonlinear Dimensionality Reduction by Locally Linear Embedding Sam T. Roweis, Lawrence K. Saul · Science 22 Dec 2000 15,156
5 A flexible new technique for camera calibration Zheng Zhang · IEEE Transactions on Pattern Analysis and Machine Intelligence 2000 14,989
All 99 most cited papers, with filters and sorting

Where is Advanced Vision and Imaging research done?

The largest centres of Advanced Vision and Imaging research in 2022-now are Beijing (China), Shanghai (China), Xi'an (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in San Jose and Santa Clara.

Largest cities, 2022-now

  1. 1 BeijingChina 1.2k works
  2. 2 ShanghaiChina 488 works
  3. 3 Xi'anChina 311 works
  4. 4 NanjingChina 308 works
  5. 5 WuhanChina 308 works
  6. 6 HangzhouChina 290 works
  7. 7 SeoulSouth Korea 261 works
  8. 8 ShenzhenChina 258 works
  9. 9 GuangzhouChina 212 works
  10. 10 TokyoJapan 191 works

Where it is the local speciality

  1. San JoseUS · 32.7 works8.4×
  2. Santa ClaraUS · 22.3 works7.7×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Vision and Imaging than the world average.

See Advanced Vision and Imaging on the map

Where is the best place to study Advanced Vision and Imaging?

Among universities, judged by research, University of Hong Kong, Nanyang Technological University and ETH Zurich score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 24.86%fractional works in this field (log) →share of work in the world top 10% →ETH ZurichStanford UniversityUniversity of Hong K…Nanyang Technologica…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Citation excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1University of Hong KongChina 70.628.8%4.5×42 +89.4%
2Nanyang Technological UniversitySingapore 69.424.0%7.6×60 +54.0%
3ETH ZurichSwitzerland 69.230.0%4.9×34 -14.0%
4Stanford UniversityUnited States 68.728.9%1.8×27 +22.2%
5Hong Kong University of Science and TechnologyChina 68.422.7%9.6×40 +27.0%
6Tsinghua UniversityChina 67.416.2%6.7×154 +38.9%
7University of OxfordUnited Kingdom 66.735.7%1.6×23 +0.2%
8Zhejiang UniversityChina 65.218.3%4.9×132 +44.1%
9University of Science and Technology of ChinaChina 65.017.4%8.0×95 +43.5%
10University of California, BerkeleyUnited States 63.426.6%2.8×26 +55.6%

Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Advanced Vision and Imaging, country by country

Is Advanced Vision and Imaging research growing?

Output in 2022-2025 was 13% higher than in 2018-2021, peaking in 2023. The fastest-growing topics are Advanced Vision and Imaging.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Advanced Vision and Imaging as a percentage of every work published that year, 0.050% in 2024.

still counting0.10%0.20%Advanced Vision and Imaging0.044% in 202519801990200020102020

Fractional works of Advanced Vision and Imaging over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Advanced Vision and Imaging9.5% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

Discussion

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