Leaderboards/Image Processing Techniques and Applications

Image Processing Techniques and Applications

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Jingyun Liang
ETH Zurich
2
Syed Waqas Zamir
Inception Institute of Artificial Intelligence
3
Longguang Wang
PLA Air Force Aviation University
4
Wael Saideni
Unknown
5
Yinhao Li
Institute of Computing Technology
6
Yiqun Mei
University of Illinois Urbana-Champaign
7
Lucas von Chamier
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
8
Lahav Lipson
Princeton University
9
Yuning Cui
Technical University of Munich
10
Matthias Arzt
Max Planck Institute of Molecular Cell Biology and Genetics

Rising Stars Papers

1
Omni-Kernel Network for Image Restoration
Proceedings of the AAAI Conference on Artificial Intelligence|2024
222 cit.
2
VRT: A Video Restoration Transformer
IEEE Transactions on Image Processing|2024
181 cit.
3
Revitalizing Convolutional Network for Image Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence|2024
179 cit.
4
EENet: An effective and efficient network for single image dehazing
Pattern Recognition|2024
70 cit.
5
Modumer: Modulating Transformer for Image Restoration
IEEE Transactions on Neural Networks and Learning Systems|2025
30 cit.
6
Omni-Kernel Modulation for Universal Image Restoration
IEEE Transactions on Circuits and Systems for Video Technology|2024
26 cit.
7
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results
Unknown Journal|2024
23 cit.
8
Exploring the Potential of Pooling Techniques for Universal Image Restoration
IEEE Transactions on Image Processing|2025
19 cit.
9
Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds
IEEE Transactions on Pattern Analysis and Machine Intelligence|2024
17 cit.
10
Enhancing Local–Global Representation Learning for Image Restoration
IEEE Transactions on Industrial Informatics|2024
13 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Wenzhe Shi
Digital China Health (China)
2
Zehan Wang
Shandong University
3
Radu Timofte
ETH Zurich
4
Marius Pachitariu
Janelia Research Campus
5
Jonathon Shlens
Google (United States)
6
Guillaume Jacquemet
Åbo Akademi University
7
Dmitry Ulyanov
Skolkovo Institute of Science and Technology
8
Florian Jug
Center for Systems Biology Dresden
9
Löıc A. Royer
Chan Zuckerberg Initiative (United States)
10
Piotr Koniusz
Commonwealth Scientific and Industrial Research Organisation

Emerging Leaders Papers

1
Cellpose 2.0: how to train your own model
Nature Methods|2022
1.4k cit.
2
Spike sorting with Kilosort4
Nature Methods|2024
390 cit.
3
LABKIT: Labeling and Segmentation Toolkit for Big Image Data
Frontiers in Computer Science|2022
346 cit.
4
Cellpose3: one-click image restoration for improved cellular segmentation
Nature Methods|2025
306 cit.
5
Video super-resolution based on deep learning: a comprehensive survey
Artificial Intelligence Review|2022
220 cit.
6
DaXi—high-resolution, large imaging volume and multi-view single-objective light-sheet microscopy
Nature Methods|2022
150 cit.
7
Self-supervised deep learning encodes high-resolution features of protein subcellular localization
Nature Methods|2022
133 cit.
8
A multimodal zebrafish developmental atlas reveals the state-transition dynamics of late-vertebrate pluripotent axial progenitors
Cell|2024
93 cit.
9
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition
Unknown Journal|2023
87 cit.
10
Single-Model and Any-Modality for Video Object Tracking
Unknown Journal|2024
85 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Andrew Zisserman
University of Oxford
2
Kevin W. Eliceiri
University of Wisconsin–Madison
3
Kyoung Mu Lee
Seoul National University
4
William T. Freeman
IIT@MIT
5
Luc Van Gool
Sofia University "St. Kliment Ohridski"
6
Ming–Hsuan Yang
University of California, Merced
7
Tomáš Pajdla
Institute of Informatics of the Slovak Academy of Sciences
8
David M. Sabatini
Czech Academy of Sciences, Institute of Organic Chemistry and Biochemistry
9
Aydogan Özcan
California NanoSystems Institute
10
Nikolaus Grigorieff
Howard Hughes Medical Institute

Current Senior Leaders Papers

1
Very Deep Convolutional Networks for Large-Scale Image Recognition
arXiv (Cornell University)|2014
75.5k cit.
2
NIH Image to ImageJ: 25 years of image analysis
Nature Methods|2012
65.2k cit.
3
The Pascal Visual Object Classes (VOC) Challenge
International Journal of Computer Vision|2009
19.5k cit.
4
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding|2008
13.4k cit.
5
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Unknown Journal|2016
7.6k cit.
6
The Pascal Visual Object Classes Challenge: A Retrospective
International Journal of Computer Vision|2014
7.3k cit.
7
ImageJ2: ImageJ for the next generation of scientific image data
BMC Bioinformatics|2017
6.2k cit.
8
Phosphorylation and Regulation of Akt/PKB by the Rictor-mTOR Complex
Science|2005
6.2k cit.
9
CTFFIND4: Fast and accurate defocus estimation from electron micrographs
Journal of Structural Biology|2015
5.6k cit.
10
CellProfiler: image analysis software for identifying and quantifying cell phenotypes
Genome biology|2006
5.5k cit.

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