Topic · Advanced Vision and Imaging
Most cited papers in Advanced Vision and Imaging
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).
Showing 50 of 99 papers. Every paper with more than 2,820 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) | 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. | 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 |
| 6 | Are we ready for autonomous driving? The KITTI vision benchmark suite Andreas Geiger, Pascal Lenz, R. Urtasun | Jun 2012 | 14,924 |
| 7 | Speeded-Up Robust Features (SURF) Herbert Bay, Andreas Ess, Tinne Tuytelaars et al. · Computer Vision and Image Understanding | 7 Jan 2008 | 13,545 |
| 8 | Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network Christian Ledig, Lucas Theis, Ferenc Huszár et al. | Jul 2017 | 12,615 |
| 9 | An Iterative Image Registration Technique with an Application to Stereo Vision Bruce D. Lucas, Takeo Kanade | 24 Aug 1981 | 11,597 |
| 10 | Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin M. Johnson, Alexandre Alahi, Li Fei-Fei · Lecture notes in computer science | 2016 | 10,170 |
| 11 | Determining optical flow Berthold K. P. Horn, Brian G. Schunck · Artificial Intelligence | Aug 1981 | 10,151 |
| 12 | Image Super-Resolution Using Deep Convolutional Networks Chao Dong, Chen Change Loy, Kaiming He et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2 Jun 2015 | 10,149 |
| 13 | Learning Spatiotemporal Features with 3D Convolutional Networks Du Tran, Lubomir Bourdev, Rob Fergus et al. | Dec 2015 | 9,921 |
| 14 | Overview of the High Efficiency Video Coding (HEVC) Standard Gary J. Sullivan, Jens-Rainer Ohm, Woo-Jin Han et al. · IEEE Transactions on Circuits and Systems for Video Technology | 30 Sep 2012 | 8,309 |
| 15 | Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee | Jun 2016 | 7,784 |
| 16 | Fast approximate energy minimization via graph cuts Yuri Boykov, Olga Veksler, Ramin Zabih · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2001 | 7,066 |
| 17 | Good features to track Jianbo Shi, Tomasi | 1994 | 7,017 |
| 18 | Adaptive background mixture models for real-time tracking Chris Stauffer, W. Eric L. Grimson | 20 Jan 2003 | 6,956 |
| 19 | A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms Daniel Scharstein, Rick Szeliski · International Journal of Computer Vision | Apr 2002 | 6,797 |
| 20 | NeRF Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik et al. · Communications of the ACM | 17 Dec 2021 | 6,590 |
| 21 | Structure-from-Motion Revisited Johannes L. Schönberger, Jan‐Michael Frahm | Jun 2016 | 6,276 |
| 22 | ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras Raul Mur-Artal, Juan D. Tardos · IEEE Transactions on Robotics | 12 Jun 2017 | 6,248 |
| 23 | Image Style Transfer Using Convolutional Neural Networks Leon A. Gatys, Alexander S. Ecker, Matthias Bethge | Jun 2016 | 6,164 |
| 24 | The Laplacian Pyramid as a Compact Image Code P.M.S. Burt, Edward H. Adelson · IRE Transactions on Communications Systems | Apr 1983 | 6,102 |
| 25 | High-Speed Tracking with Kernelized Correlation Filters João F. Henriques, Rui Caseiro, Pedro Martins et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | Aug 2014 | 5,866 |
| 26 | "GrabCut" Carsten Rother, Vladimir Kolmogorov, Andrew Blake · ACM Transactions on Graphics | Aug 2004 | 5,822 |
| 27 | Indoor Segmentation and Support Inference from RGBD Images Nathan Silberman, Derek Hoiem, Pushmeet Kohli et al. · Lecture notes in computer science | 2012 | 5,770 |
| 28 | Learning a Deep Convolutional Network for Image Super-Resolution Chao Dong, Chen Change Loy, Kaiming He et al. · Lecture notes in computer science | 2014 | 5,746 |
| 29 | Image Super-Resolution Using Very Deep Residual Channel Attention Networks Yulun Zhang, Kunpeng Li, Kai Li et al. · Lecture notes in computer science | 2018 | 5,660 |
| 30 | 3D Gaussian Splatting for Real-Time Radiance Field Rendering Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler et al. · ACM Transactions on Graphics | 26 Jul 2023 | 5,593 |
| 31 | Guided Image Filtering Kaiming He, Jian Zhong Sun, Xiaoou Tang · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2 Oct 2012 | 5,494 |
| 32 | NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik et al. · Lecture notes in computer science | 2020 | 5,159 |
| 33 | Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization Xun Cheng Huang, Serge Belongie | Oct 2017 | 5,077 |
| 34 | From few to many: illumination cone models for face recognition under variable lighting and pose Athinodoros S. Georghiades, Peter N. Belhumeur, David Kriegman · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jun 2001 | 4,998 |
| 35 | 3D ShapeNets: A deep representation for volumetric shapes Zhirong Wu, Shuran Song, Aditya Khosla et al. | Jun 2015 | 4,793 |
| 36 | VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator Tong Qin, Peiliang Li, Shaojie Shen · IEEE Transactions on Robotics | 27 Jul 2018 | 4,713 |
| 37 | Kernel-based object tracking Dorin Comaniciu, Visvanathan Ramesh, Peter Meer · IEEE Transactions on Pattern Analysis and Machine Intelligence | May 2003 | 4,582 |
| 38 | High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu et al. | Jun 2018 | 4,526 |
| 39 | Machine Learning for High-Speed Corner Detection Edward Rosten, Tom W. Drummond · Lecture notes in computer science | 2006 | 4,448 |
| 40 | Generalizing the Hough transform to detect arbitrary shapes D.H. Ballard · Pattern Recognition | 1981 | 4,400 |
| 41 | Stereo Processing by Semiglobal Matching and Mutual Information Heiko Hirschmüller · IEEE Transactions on Pattern Analysis and Machine Intelligence | 20 Dec 2007 | 4,328 |
| 42 | FlowNet: Learning Optical Flow with Convolutional Networks Alexey Dosovitskiy, Philipp F. Fischer, Eddy Ilg et al. | Dec 2015 | 4,315 |
| 43 | Parallel Tracking and Mapping for Small AR Workspaces Georg Klein, David W. Murray | Nov 2007 | 4,314 |
| 44 | Performance of optical flow techniques John A. Barron, David J. Fleet, Steven S. Beauchemin · International Journal of Computer Vision | Feb 1994 | 4,306 |
| 45 | NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study Eirikur Agustsson, Radu Timofte | Jul 2017 | 4,203 |
| 46 | ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM Carlos Campos, Richard Elvira, Juan J. Gomez Rodriguez et al. · IEEE Transactions on Robotics | 25 May 2021 | 4,192 |
| 47 | Residual Dense Network for Image Super-Resolution Yulun Zhang, Yapeng Tian, Yu Xiang George Kong et al. | Jun 2018 | 4,180 |
| 48 | Closed-form solution of absolute orientation using unit quaternions Berthold K. P. Horn · Journal of the Optical Society of America A | Apr 1987 | 4,165 |
| 49 | Contrast Limited Adaptive Histogram Equalization Karel J. Zuiderveld · Elsevier eBooks | 1994 | 4,088 |
| 50 | A benchmark for the evaluation of RGB-D SLAM systems Jrgen Sturm, Nikolas Engelhard, Felix Endres et al. | Oct 2012 | 4,086 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.