Computer Vision

![Awesome

](https://github.com/mawady/awesome-cv)

AAAI

AAAI Conference on Artificial Intelligence · 20% acceptance · broad AI scope with strong CV track [[dblp](https://dblp.org/streams/conf/aaai)]

ACCV

Asian Conference on Computer Vision (Springer) [[dblp](https://dblp.org/streams/conf/accv)]

ACIVS

Conference on Advanced Concepts for Intelligent Vision Systems (Springer) [[dblp](https://dblp.org/streams/conf/acivs)]

ACMMM

ACM International Conference on Multimedia (ACM) [[dblp](https://dblp.org/streams/conf/mm)]

BMVC

British Machine Vision Conference (BMVA) [[dblp](https://dblp.org/streams/conf/bmvc)]

CAIP

International Conference on Computer Analysis of Images and Patterns (Springer) [[dblp](https://dblp.org/streams/conf/caip)]

CIC

Color and Imaging Conference (IS&T) [[dblp](https://dblp.org/streams/conf/imaging)]

CORE Conference Ranking

> Ranks follow . Acceptance rates are approximate, based on recent editions. Note: in CV and ML, conference prestige often exceeds journal prestige, unlike in most other fields.

CVCS

Colour and Visual Computing Symposium [[dblp](https://dblp.org/streams/conf/cvcs)]

CVPR

Conference on Computer Vision and Pattern Recognition (IEEE) · 22% acceptance · the highest-volume top-tier CV venue [[dblp](https://dblp.org/streams/conf/cvpr)]

ECCV

European Conference on Computer Vision (Springer) · 28% acceptance · held in even years only [[dblp](https://dblp.org/streams/conf/eccv)]

ETRA

ACM Symposium on Eye Tracking Research & Applications (ACM SIGCHI) [[dblp](https://dblp.org/streams/conf/etra)]

EUSIPCO

European Signal Processing Conference (EURASIP/IEEE) [[dblp](https://dblp.org/streams/conf/eusipco)]

EUVIP

European Workshop on Visual Information Processing (IEEE/EURASIP) [[dblp](https://dblp.org/streams/conf/euvip)]

ICASSP

International Conference on Acoustics, Speech, and Signal Processing (IEEE) [[dblp](https://dblp.org/streams/conf/icassp)]

ICCV

International Conference on Computer Vision (IEEE) · 26% acceptance · held in odd years only [[dblp](https://dblp.org/streams/conf/iccv)]

ICIAR

International Conference on Image Analysis and Recognition (Springer) [[dblp](https://dblp.org/streams/conf/iciar)]

ICIP

International Conference on Image Processing (IEEE) [[dblp](https://dblp.org/streams/conf/icip)]

ICISP

International Conference on Image and Signal Processing (Springer) [[dblp](https://dblp.org/streams/conf/icisp)]

ICLR

International Conference on Learning Representations · 32% acceptance · open-review format; major venue for deep learning and VLMs [[dblp](https://dblp.org/streams/conf/iclr)]

ICML

International Conference on Machine Learning · 28% acceptance · top ML venue with growing CV presence [[dblp](https://dblp.org/streams/conf/icml)]

ICPR

International Conference on Pattern Recognition (IEEE) [[dblp](https://dblp.org/streams/conf/icpr)]

ICRA

International Conference on Robotics and Automation (IEEE) [[dblp](https://dblp.org/streams/conf/icra)]

ICVS

International Conference on Computer Vision Systems (Springer) [[dblp](https://dblp.org/streams/conf/icvs)]

IROS

International Conference on Intelligent Robots and Systems (IEEE) · covers CV for robotics and perception [[dblp](https://dblp.org/streams/conf/iros)]

ISBI

IEEE International Symposium on Biomedical Imaging (IEEE) [[dblp](https://dblp.org/streams/conf/isbi)]

MICCAI

Conference on Medical Image Computing and Computer Assisted Intervention (Springer) · 30% acceptance · premier venue for medical imaging [[dblp](https://dblp.org/streams/conf/miccai)]

MIUA

Medical Image Understanding and Analysis (BMVA) · UK-focused medical imaging [[dblp](https://dblp.org/streams/conf/miua)]

NeurIPS

Conference on Neural Information Processing Systems · 26% acceptance · primary venue for ML theory and deep learning [[dblp](https://dblp.org/streams/conf/nips)]

VCIP

International Conference on Visual Communications and Image Processing (IEEE) [[dblp](https://dblp.org/streams/conf/vcip)]

VISAPP

International Conference on Vision Theory and Applications (SCITEPRESS) [[dblp](https://dblp.org/streams/conf/visapp)]

WACV

Winter Conference on Applications of Computer Vision (IEEE) · 29% acceptance · practical and applied CV; growing rapidly [[dblp](https://dblp.org/streams/conf/wacv)]

[dblp

[ICASSP](https://ieeeicassp.org): International Conference on Acoustics, Speech, and Signal Processing (IEEE) ]

[dblp

[ICIP](http://www.wikicfp.com/cfp/program?id=1390): International Conference on Image Processing (IEEE) ]

[dblp

DSP: International Conference on Digital Signal Processing (IEEE) ]

[dblp

[CVCS](https://www.cvcs.no): Colour and Visual Computing Symposium ]

[dblp

[CIC](https://www.imaging.org/site/IST/Conferences/ColorandImaging): Color and Imaging Conference (IS&T) ]

[dblp

[EUVIP](https://eurasip.org/workshops/): European Workshop on Visual Information Processing (IEEE/EURASIP) ]

[dblp

[MIUA](https://www.bmva.org/miua): Medical Image Understanding and Analysis (BMVA) · UK-focused medical imaging ]

[dblp

[ICVS](http://www.wikicfp.com/cfp/program?id=1501): International Conference on Computer Vision Systems (Springer) ]

[dblp

[ICIAR](http://www.wikicfp.com/cfp/program?id=1381): International Conference on Image Analysis and Recognition (Springer) ]

[dblp

[ICISP](http://www.wikicfp.com/cfp/program?id=1399): International Conference on Image and Signal Processing (Springer) ]

[dblp

[CAIP](http://www.wikicfp.com/cfp/program?id=346): International Conference on Computer Analysis of Images and Patterns (Springer) ]

[dblp

[VCIP](http://www.wikicfp.com/cfp/program?id=2926): International Conference on Visual Communications and Image Processing (IEEE) ]

[dblp

[VISAPP](https://visapp.scitevents.org): International Conference on Vision Theory and Applications (SCITEPRESS) ]

[dblp

[ETRA](https://etra.acm.org/): ACM Symposium on Eye Tracking Research & Applications (ACM SIGCHI) ]

[dblp

[ACIVS](http://www.wikicfp.com/cfp/program?id=34): Conference on Advanced Concepts for Intelligent Vision Systems (Springer) ]

[dblp

[EUSIPCO](https://eurasip.org/eusipco-conferences/): European Signal Processing Conference (EURASIP/IEEE) ]

[dblp

[AAAI](https://aaai.org/conference/aaai): AAAI Conference on Artificial Intelligence · 20% acceptance · broad AI scope with strong CV track ]

[dblp

[ACMMM](https://acmmm.org): ACM International Conference on Multimedia (ACM) ]

[dblp

[ICRA](https://ieee-icra.org): International Conference on Robotics and Automation (IEEE) ]

[dblp

[MICCAI](https://miccai.org): Conference on Medical Image Computing and Computer Assisted Intervention (Springer) · 30% acceptance · premier venue for medical imaging ]

[dblp

[WACV](https://wacv.thecvf.com): Winter Conference on Applications of Computer Vision (IEEE) · 29% acceptance · practical and applied CV; growing rapidly ]

[dblp

[IROS](https://ieee-iros.org): International Conference on Intelligent Robots and Systems (IEEE) · covers CV for robotics and perception ]

[dblp

[ISBI](https://biomedicalimaging.org): IEEE International Symposium on Biomedical Imaging (IEEE) ]

[dblp

[BMVC](https://www.bmva.org/bmvc): British Machine Vision Conference (BMVA) ]

[dblp

[ICPR](http://www.wikicfp.com/cfp/program?id=1448): International Conference on Pattern Recognition (IEEE) ]

[dblp

[ACCV](http://www.wikicfp.com/cfp/program?id=22): Asian Conference on Computer Vision (Springer) ]

[dblp

[CVPR](https://cvpr.thecvf.com): Conference on Computer Vision and Pattern Recognition (IEEE) · 22% acceptance · the highest-volume top-tier CV venue ]

[dblp

[ICCV](https://iccv.thecvf.com): International Conference on Computer Vision (IEEE) · 26% acceptance · held in odd years only ]

[dblp

[NeurIPS](https://neurips.cc): Conference on Neural Information Processing Systems · 26% acceptance · primary venue for ML theory and deep learning ]

[dblp

[ICML](https://icml.cc): International Conference on Machine Learning · 28% acceptance · top ML venue with growing CV presence ]

[dblp

[ICLR](https://iclr.cc): International Conference on Learning Representations · 32% acceptance · open-review format; major venue for deep learning and VLMs ]

[dblp

[ECCV](https://eccv.ecva.net): European Conference on Computer Vision (Springer) · 28% acceptance · held in even years only ]

Advanced Computer Vision

· 2021 · Mubarak Shah · University of Central Florida

Advanced Deep Learning for Computer Vision

· 2020 · Laura Leal-Taixé / Matthias Niessner · Technical University of Munich

Advances in Computer Vision

· 2023 · William T. Freeman · MIT

Computer Vision

· 2021 · Andreas Geiger · University of Tübingen

Computer Vision

· 2021 · Yogesh S Rawat / Mubarak Shah · University of Central Florida

Computer Vision

· 2012 · Mubarak Shah · University of Central Florida

Convolutional Neural Networks for Visual Recognition

· 2017 · Fei-Fei Li · Stanford University

Deep Learning for Computer Vision

· 2025 · Fei-Fei Li · Stanford

Deep Learning for Computer Vision

· 2020 · Justin Johnson · University of Michigan

Image and video processing

· Guillermo Sapiro · Duke University

Introduction to Computer Vision

· 2026 · James Tompkin · Brown

Introduction to Computer Vision

· Aaron Bobick / Irfan Essa · Udacity

Introduction to Digital Image Processing

· 2015 · Rich Radke · Rensselaer Polytechnic Institute

Introduction to Digital Image Processing

· 2020 · Ahmadreza Baghaie · New York Institute of Technology

Machine Learning for Robotics and Computer Vision

· 2014 · Rudolph Triebel · Technical University of Munich

Multiple View Geometry

· 2013 · Daniel Cremers · Technical University of Munich

OpenCV for Python Developers

· 2023 · Patrick Crawford · LinkedIn Learning

Quantitative Imaging

· 2019 · Kevin Mader · ETH Zurich

Variational Methods for Computer Vision

· 2013 · Daniel Cremers · Technical University of Munich

CUHK Computer Vision

CVonline: Image Databases

, Edinburgh University, Thanks to Robert Fisher!

Kaggle

PaperWithCode

, Meta

PyTorch - CV Datasets

, Meta

RoboFlow

Tensorflow - CV Datasets

, Google

VGG - University of Oxford

VisualData

Elsevier CBM

Computers in Biology and Medicine · Q1 [[dblp](https://dblp.org/streams/journals/cbm)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=17957&tip=sid)]

Elsevier CMIG

Computerized Medical Imaging and Graphics · Q1 [[dblp](https://dblp.org/streams/journals/cmig)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=23607&tip=sid)]

Elsevier CMPB

Computer Methods and Programs in Biomedicine · Q1 [[dblp](https://dblp.org/streams/journals/cmpb)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=23604&tip=sid)]

Elsevier CVIU

Computer Vision and Image Understanding · Q1 [[dblp](https://dblp.org/streams/journals/cviu)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24161&tip=sid)]

Elsevier ESWA

Expert Systems with Applications · Q1 · broad applied scope; high volume [[dblp](https://dblp.org/streams/journals/eswa)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24201&tip=sid)]

Elsevier IVC

Image and Vision Computing · Q1 [[dblp](https://dblp.org/streams/journals/ivc)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=25549&tip=sid)]

Elsevier JVCIR

Journal of Visual Communication and Image Representation · Q2 [[dblp](https://dblp.org/streams/journals/jvcir)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=25592&tip=sid)]

Elsevier MedIA

Medical Image Analysis · Q1 · leading venue in medical imaging [[dblp](https://dblp.org/streams/journals/mia)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=17271&tip=sid)]

Elsevier Neurocomputing

· Q1 [[dblp](https://dblp.org/streams/journals/ijon)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24807&tip=sid)]

Elsevier PR

Pattern Recognition · Q1 · broad scope; high volume [[dblp](https://dblp.org/streams/journals/pr)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24823&tip=sid)]

Elsevier PRL

Pattern Recognition Letters · Q1 · shorter-format work [[dblp](https://dblp.org/streams/journals/prl)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24825&tip=sid)]

IEEE Access

· Q1 · broad scope; fast publication; lower selectivity than the IEEE transactions [[dblp](https://dblp.org/streams/journals/access)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=21100374601&tip=sid)]

IEEE RAL

Robotics and Automation Letters · Q1 · fast-track letters; papers often presented at ICRA or IROS [[dblp](https://dblp.org/streams/journals/ral)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=21100900379&tip=sid)]

IEEE TCSVT

Transactions on Circuits and Systems for Video Technology · Q1 · video understanding, compression, and streaming [[dblp](https://dblp.org/streams/journals/tcsv)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=26027&tip=sid)]

IEEE TIP

Transactions on Image Processing · Q1 · image processing, analysis, and low-level vision [[dblp](https://dblp.org/streams/journals/tip)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=25534&tip=sid)]

IEEE TMI

Transactions on Medical Imaging · Q1 · premier journal for medical image analysis [[dblp](https://dblp.org/streams/journals/tmi)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=16733&tip=sid)]

IEEE TPAMI

Transactions on Pattern Analysis and Machine Intelligence · Q1 · the highest-prestige journal in CV/ML; publishes foundational and survey work [[dblp](https://dblp.org/streams/journals/pami)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24254&tip=sid)]

IEEE TVCG

Transactions on Visualization and Computer Graphics · Q1 · covers rendering, visual analytics, and 3D vision [[dblp](https://dblp.org/streams/journals/tvcg)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=25535&tip=sid)]

IET Computer Vision

· Q2 [[dblp](https://dblp.org/streams/journals/iet-cvi)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=7000153231&tip=sid)]

IET Image Processing

· Q2 [[dblp](https://dblp.org/streams/journals/iet-ipr)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=5400152646&tip=sid)]

IJCV

International Journal of Computer Vision (Springer) · Q1 · primary venue for long-form CV research [[dblp](https://dblp.org/streams/journals/ijcv)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=72242&tip=sid)]

MDPI Journal of Imaging

· Q2 · fully open access; no subscription required [[dblp](https://dblp.org/streams/journals/jimaging)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=21100900151&tip=sid)]

SCImago Journal Rank (SJR)

> Rankings use the indicator. SJR is a size-independent prestige metric: it weights citations by the influence of the citing journal, not just their count. Quartiles (Q1 to Q4) place each journal within its subject category; Q1 is the top 25%. In computer vision and machine learning, top conferences (CVPR, ICCV, ECCV) often carry more prestige than journals; many researchers publish conference papers first and submit extended versions to journals later.

SPIE JEI

Journal of Electronic Imaging · Q3 [[dblp](https://dblp.org/streams/journals/jei)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=25978&tip=sid)]

Springer JMIV

Journal of Mathematical Imaging and Vision · Q2 · mathematical foundations of imaging [[dblp](https://dblp.org/streams/journals/jmiv)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=28501&tip=sid)]

Springer MVA

Machine Vision and Applications · Q2 [[dblp](https://dblp.org/streams/journals/mva)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=12984&tip=sid)]

Springer NCA

Neural Computing and Applications · Q1 [[dblp](https://dblp.org/streams/journals/nca)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24800&tip=sid)]

Springer PAA

Pattern Analysis and Applications · Q2 [[dblp](https://dblp.org/streams/journals/paa)] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24822&tip=sid)]

[dblp

[IEEE TVCG](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2945): Transactions on Visualization and Computer Graphics · Q1 · covers rendering, visual analytics, and 3D vision ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=25535&tip=sid)]

[dblp

[IEEE RAL](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7083369): Robotics and Automation Letters · Q1 · fast-track letters; papers often presented at ICRA or IROS ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=21100900379&tip=sid)]

[dblp

[IEEE TPAMI](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=34): Transactions on Pattern Analysis and Machine Intelligence · Q1 · the highest-prestige journal in CV/ML; publishes foundational and survey work ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24254&tip=sid)]

[dblp

[Springer JMIV](https://www.springer.com/journal/10851): Journal of Mathematical Imaging and Vision · Q2 · mathematical foundations of imaging ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=28501&tip=sid)]

[dblp

[Elsevier CMPB](https://www.journals.elsevier.com/computer-methods-and-programs-in-biomedicine): Computer Methods and Programs in Biomedicine · Q1 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=23604&tip=sid)]

[dblp

[SPIE JEI](https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging): Journal of Electronic Imaging · Q3 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=25978&tip=sid)]

[dblp

[Springer NCA](https://www.springer.com/journal/521): Neural Computing and Applications · Q1 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24800&tip=sid)]

[dblp

[IET Image Processing](https://ietresearch.onlinelibrary.wiley.com/journal/17519667) · Q2 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=5400152646&tip=sid)]

[dblp

[Elsevier CBM](https://www.journals.elsevier.com/computers-in-biology-and-medicine): Computers in Biology and Medicine · Q1 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=17957&tip=sid)]

[dblp

[Springer PAA](https://www.springer.com/journal/10044): Pattern Analysis and Applications · Q2 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24822&tip=sid)]

[dblp

[Elsevier Neurocomputing](https://www.journals.elsevier.com/neurocomputing) · Q1 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24807&tip=sid)]

[dblp

[Springer MVA](https://www.springer.com/journal/138): Machine Vision and Applications · Q2 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=12984&tip=sid)]

[dblp

[Elsevier CVIU](https://www.journals.elsevier.com/computer-vision-and-image-understanding): Computer Vision and Image Understanding · Q1 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24161&tip=sid)]

[dblp

[IEEE TCSVT](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=76): Transactions on Circuits and Systems for Video Technology · Q1 · video understanding, compression, and streaming ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=26027&tip=sid)]

[dblp

[IET Computer Vision](https://ietresearch.onlinelibrary.wiley.com/journal/17519640) · Q2 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=7000153231&tip=sid)]

[dblp

[Elsevier PRL](https://www.journals.elsevier.com/pattern-recognition-letters): Pattern Recognition Letters · Q1 · shorter-format work ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24825&tip=sid)]

[dblp

[Elsevier ESWA](https://www.journals.elsevier.com/expert-systems-with-applications): Expert Systems with Applications · Q1 · broad applied scope; high volume ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24201&tip=sid)]

[dblp

[IEEE Access](https://ieeeaccess.ieee.org) · Q1 · broad scope; fast publication; lower selectivity than the IEEE transactions ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=21100374601&tip=sid)]

[dblp

[Elsevier CMIG](https://www.journals.elsevier.com/computerized-medical-imaging-and-graphics): Computerized Medical Imaging and Graphics · Q1 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=23607&tip=sid)]

[dblp

[IJCV](https://www.springer.com/journal/11263): International Journal of Computer Vision (Springer) · Q1 · primary venue for long-form CV research ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=72242&tip=sid)]

[dblp

[MDPI Journal of Imaging](https://www.mdpi.com/journal/jimaging) · Q2 · fully open access; no subscription required ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=21100900151&tip=sid)]

[dblp

[Elsevier IVC](https://www.journals.elsevier.com/image-and-vision-computing): Image and Vision Computing · Q1 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=25549&tip=sid)]

[dblp

[Elsevier PR](https://www.journals.elsevier.com/pattern-recognition): Pattern Recognition · Q1 · broad scope; high volume ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=24823&tip=sid)]

[dblp

[IEEE TIP](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=83): Transactions on Image Processing · Q1 · image processing, analysis, and low-level vision ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=25534&tip=sid)]

[dblp

[Elsevier MedIA](https://www.journals.elsevier.com/medical-image-analysis): Medical Image Analysis · Q1 · leading venue in medical imaging ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=17271&tip=sid)]

[dblp

[IEEE TMI](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=42): Transactions on Medical Imaging · Q1 · premier journal for medical image analysis ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=16733&tip=sid)]

[dblp

[Elsevier JVCIR](https://www.journals.elsevier.com/journal-of-visual-communication-and-image-representation): Journal of Visual Communication and Image Representation · Q2 ] [[scimago](https://www.scimagojr.com/journalsearch.php?q=25592&tip=sid)]

[scimago

[IEEE Access](https://ieeeaccess.ieee.org) · Q1 · broad scope; fast publication; lower selectivity than the IEEE transactions [[dblp](https://dblp.org/streams/journals/access)] ]

[scimago

[Elsevier Neurocomputing](https://www.journals.elsevier.com/neurocomputing) · Q1 [[dblp](https://dblp.org/streams/journals/ijon)] ]

[scimago

[Springer NCA](https://www.springer.com/journal/521): Neural Computing and Applications · Q1 [[dblp](https://dblp.org/streams/journals/nca)] ]

[scimago

[IEEE RAL](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7083369): Robotics and Automation Letters · Q1 · fast-track letters; papers often presented at ICRA or IROS [[dblp](https://dblp.org/streams/journals/ral)] ]

[scimago

[Elsevier CMIG](https://www.journals.elsevier.com/computerized-medical-imaging-and-graphics): Computerized Medical Imaging and Graphics · Q1 [[dblp](https://dblp.org/streams/journals/cmig)] ]

[scimago

[Elsevier CMPB](https://www.journals.elsevier.com/computer-methods-and-programs-in-biomedicine): Computer Methods and Programs in Biomedicine · Q1 [[dblp](https://dblp.org/streams/journals/cmpb)] ]

[scimago

[Elsevier CVIU](https://www.journals.elsevier.com/computer-vision-and-image-understanding): Computer Vision and Image Understanding · Q1 [[dblp](https://dblp.org/streams/journals/cviu)] ]

[scimago

[Elsevier CBM](https://www.journals.elsevier.com/computers-in-biology-and-medicine): Computers in Biology and Medicine · Q1 [[dblp](https://dblp.org/streams/journals/cbm)] ]

[scimago

[Elsevier PRL](https://www.journals.elsevier.com/pattern-recognition-letters): Pattern Recognition Letters · Q1 · shorter-format work [[dblp](https://dblp.org/streams/journals/prl)] ]

[scimago

[IEEE TVCG](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2945): Transactions on Visualization and Computer Graphics · Q1 · covers rendering, visual analytics, and 3D vision [[dblp](https://dblp.org/streams/journals/tvcg)] ]

[scimago

[Elsevier IVC](https://www.journals.elsevier.com/image-and-vision-computing): Image and Vision Computing · Q1 [[dblp](https://dblp.org/streams/journals/ivc)] ]

[scimago

[Elsevier JVCIR](https://www.journals.elsevier.com/journal-of-visual-communication-and-image-representation): Journal of Visual Communication and Image Representation · Q2 [[dblp](https://dblp.org/streams/journals/jvcir)] ]

[scimago

[Springer JMIV](https://www.springer.com/journal/10851): Journal of Mathematical Imaging and Vision · Q2 · mathematical foundations of imaging [[dblp](https://dblp.org/streams/journals/jmiv)] ]

[scimago

[SPIE JEI](https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging): Journal of Electronic Imaging · Q3 [[dblp](https://dblp.org/streams/journals/jei)] ]

[scimago

[IEEE TCSVT](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=76): Transactions on Circuits and Systems for Video Technology · Q1 · video understanding, compression, and streaming [[dblp](https://dblp.org/streams/journals/tcsv)] ]

[scimago

[IET Image Processing](https://ietresearch.onlinelibrary.wiley.com/journal/17519667) · Q2 [[dblp](https://dblp.org/streams/journals/iet-ipr)] ]

[scimago

[Springer PAA](https://www.springer.com/journal/10044): Pattern Analysis and Applications · Q2 [[dblp](https://dblp.org/streams/journals/paa)] ]

[scimago

[Springer MVA](https://www.springer.com/journal/138): Machine Vision and Applications · Q2 [[dblp](https://dblp.org/streams/journals/mva)] ]

[scimago

[IET Computer Vision](https://ietresearch.onlinelibrary.wiley.com/journal/17519640) · Q2 [[dblp](https://dblp.org/streams/journals/iet-cvi)] ]

[scimago

[IJCV](https://www.springer.com/journal/11263): International Journal of Computer Vision (Springer) · Q1 · primary venue for long-form CV research [[dblp](https://dblp.org/streams/journals/ijcv)] ]

[scimago

[Elsevier ESWA](https://www.journals.elsevier.com/expert-systems-with-applications): Expert Systems with Applications · Q1 · broad applied scope; high volume [[dblp](https://dblp.org/streams/journals/eswa)] ]

[scimago

[Elsevier PR](https://www.journals.elsevier.com/pattern-recognition): Pattern Recognition · Q1 · broad scope; high volume [[dblp](https://dblp.org/streams/journals/pr)] ]

[scimago

[MDPI Journal of Imaging](https://www.mdpi.com/journal/jimaging) · Q2 · fully open access; no subscription required [[dblp](https://dblp.org/streams/journals/jimaging)] ]

[scimago

[IEEE TMI](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=42): Transactions on Medical Imaging · Q1 · premier journal for medical image analysis [[dblp](https://dblp.org/streams/journals/tmi)] ]

[scimago

[IEEE TIP](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=83): Transactions on Image Processing · Q1 · image processing, analysis, and low-level vision [[dblp](https://dblp.org/streams/journals/tip)] ]

[scimago

[Elsevier MedIA](https://www.journals.elsevier.com/medical-image-analysis): Medical Image Analysis · Q1 · leading venue in medical imaging [[dblp](https://dblp.org/streams/journals/mia)] ]

[scimago

[IEEE TPAMI](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=34): Transactions on Pattern Analysis and Machine Intelligence · Q1 · the highest-prestige journal in CV/ML; publishes foundational and survey work [[dblp](https://dblp.org/streams/journals/pami)] ]

Vision Science

, announcements about industry/academic jobs in computer vision around the world (in English).

bull-i3

, posts about job opportunities in computer vision in France (in French).

ElencoCode

Loris Nanni's CV functions, University of Padova · ⚠️ legacy

MLV

Mid-level Vision Toolbox, BWLab, University of Toronto · ✅ active

PMT

Piotr's Computer Vision MATLAB Toolbox, P. Dollar · ⚠️ legacy

VLFeat

Open source library of popular CV algorithms (SIFT, VLAD, Fisher Vectors, SLIC), A. Vedaldi and B. Fulkerson · ⚠️ legacy

matlabfns

MATLAB and Octave functions for computer vision and image processing, P. Kovesi, University of Western Australia · ⚠️ legacy

[paper

[ViT, 2020] Dosovitskiy, Alexey, et al. "An image is worth 16x16 words." ICLR (2021). ] — brought transformers to vision and reshaped every sub-field

[paper

[Attention, 2017] Vaswani, Ashish, et al. "Attention is all you need." NeurIPS (2017). ] — the transformer architecture that ViT and every modern foundation model is built on

[paper

[ResNet, 2016] He, Kaiming, et al. "Deep residual learning for image recognition." CVPR (2016). ] — residual connections solved the vanishing gradient problem; still the most-used backbone

[paper

[U-Net, 2015] Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. "U-Net: Convolutional networks for biomedical image segmentation." MICCAI (2015). ] — the default architecture for segmentation tasks

[paper

[Backprop, 1986] Rumelhart, David E., Geoffrey E. Hinton, and Ronald J. Williams. "Learning representations by back-propagating errors." Nature 323 (1986): 533-536. ]

[paper

[GAN, 2014] Goodfellow, Ian, et al. "Generative adversarial nets." NeurIPS (2014). ] — introduced the GAN framework that underpins generative CV

[paper

[AlexNet, 2012] Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "ImageNet classification with deep convolutional neural networks." NeurIPS (2012). ] — the paper that started the deep learning era in CV

[paper

[ImageNet, 2009] Deng, Jia, et al. "ImageNet: A large-scale hierarchical image database." CVPR (2009). ] — the benchmark that enabled the deep learning era

[paper

[HOG, 2005] Dalal, Navneet, and Bill Triggs. "Histograms of oriented gradients for human detection." CVPR (2005). ] — foundation of pedestrian and object detection

[paper

[SIFT, 2004] Lowe, David G. "Distinctive image features from scale-invariant keypoints." IJCV 60.2 (2004): 91-110. ] — the dominant feature descriptor for a decade

[paper

[LeNet-5, 1998] LeCun, Yann, et al. "Gradient-based learning applied to document recognition." Proceedings of the IEEE 86.11 (1998). ] — established CNNs as the standard for visual recognition

[paper

[BoVW, 2003/2004] Sivic, and Zisserman. "Video Google: A text retrieval approach to object matching in videos." Proceedings ninth IEEE international conference on computer vision. IEEE, 2003. Csurka, Gabriella, et al. "Visual categorization with bags of keypoints." Workshop on statistical learning in computer vision, ECCV. Vol. 1. No. 1-22. 2004. ] — introduced the bag-of-visual-words framework using visual vocabularies for image classification

Mahotas

Fast computer vision algorithms in Python · ⚠️ legacy

OpenCV

Open Source Computer Vision Library · ✅ active

Pillow

The friendly PIL fork (Python Imaging Library) · ✅ active

SciPy

Open-source software for mathematics, science, and engineering · ✅ active

SimpleCV

Open Source Framework for Machine Vision · 🗄️ archived

imutils

Convenience functions for basic image processing operations · ✅ active

kornia

Open source differentiable computer vision library for PyTorch · ✅ active

mmcv

OpenMMLab foundational library for computer vision research · ✅ active

pgmagick

Python wrapper for GraphicsMagick/ImageMagick · ⚠️ legacy

scikit-image

Collection of algorithms for image processing · ✅ active

[Goodreads

Szeliski, Richard. "Computer Vision - Algorithms and Applications" Texts in Computer Science (2010). · ]

[Goodreads

Stockman, George C. and Linda G. Shapiro. "Computer Vision" (2001). · ]

[Goodreads

Harltey, Andrew and Andrew Zisserman. "Multiple view geometry in computer vision (2. ed.)" (2003). · ]

[Goodreads

Bishop, Charles M.. "Pattern recognition and machine learning, 5th Edition" Information science and statistics (2007). · ]

[Goodreads

Antonio Torralba, Phillip Isola, William T. Freeman. "Foundations of Computer Vision" MIT Press, (2024). · ]

[Goodreads

Nixon, Mark, and Alberto Aguado. "Feature extraction and image processing for computer vision" Academic press, (2019). · ]

[Goodreads

González, Rafael Corsino and Richard E. Woods. "Digital image processing, 4th Edition" (2018). · ]

[Goodreads

E.R. Davies. "Computer Vision: Principles, Algorithms, Applications, Learning" Academic press, (2017). · ]

[Goodreads

Prince, Simon. "Computer Vision: Models, Learning, and Inference" (2012). · ]

[Goodreads

Forsyth, David Alexander and Jean Ponce. "Computer Vision - A Modern Approach, Second Edition" (2011). · ]

Alibi

[XAI] Algorithms for explaining machine learning models.

Bringing-Old-Photos-Back-to-Life

[ImgEnh] Microsoft's CVPR 2020 oral paper implementation for restoring old and damaged photos.

Captum

[XAI] PyTorch team's library for model interpretability and understanding.

CutMix-PyTorch

[DatAug] Official PyTorch implementation of the CutMix regularizer.

DALLE2-pytorch

[TexImg] PyTorch implementation of OpenAI's DALL-E 2 text-to-image synthesis network.

EasyOCR

[OCR] Ready-to-use OCR supporting 80+ languages and all popular writing scripts.

FaceDetection-DSFD

[ObjDet] Tencent's state-of-the-art face detector.

FastAI

[GenLib] Library over PyTorch used for learning and practicing machine learning and deep learning.

ITK

[GenLib] Open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration.

Keract

[XAI] Keras tool for extracting layer outputs and gradients.

MONAI

[GenLib] PyTorch-based, open-source framework for deep learning in healthcare imaging.

MediaPipe

[ObjDet] [ObjSeg] [ObjTrk] [GenLib] Google's cross-platform framework supporting face detection, hand/pose tracking, object detection, hair segmentation, and more.

ORBSLAM2

[SLAM] Real-time SLAM for monocular, stereo and RGB-D cameras with loop detection and relocalization.

Object-Detection-Metrics

[ObjDet] The most popular metrics used to evaluate object detection algorithms.

PaddleOCR

[OCR] Practical ultra-lightweight OCR system supporting 80+ languages with tools for training and deployment across server, mobile, and IoT devices.

PaddleSeg

[ObjSeg] Easy-to-use image segmentation library supporting semantic, interactive, panoptic, and 3D segmentation among others.

PsychoPy

[EyeTrk] Library for running psychology and neuroscience experiments.

PyTorch image models

[ObjCls] A wide collection of PyTorch image classification models, scripts, and pretrained weights.

Random-Erasing

[DatAug] Random erasing data augmentation implemented in PyTorch.

RobustVideoMatting

[VidMat] Robust video matting supporting PyTorch, TensorFlow, ONNX, and CoreML.

SAHI

[ObjDet] [ObjSeg] Lightweight vision library for large-scale object detection and instance segmentation.

SHAP

[XAI] Game-theoretic approach to explain the output of any machine learning model.

TensorWatch

[XAI] Microsoft's debugging, monitoring, and visualization tool for Python ML and data science.

U-2-Net

[ObjDet] U²-Net: nested U-structure architecture for salient object detection.

VTK

[GenLib] Open-source software system for image processing, 3D graphics, volume rendering and visualization.

WeightWatcher

[XAI] Open-source diagnostic tool for analyzing deep neural networks without needing training or test data.

aesthetics

[AesAss] Image aesthetics toolkit using Fisher Vectors.

albumentations

[DatAug] Fast image augmentation library with an easy-to-use wrapper around other libraries.

alibi-detect

[NvlDet] Algorithms for outlier, adversarial, and drift detection.

computervision-recipes

[GenLib] Microsoft's best practices, code samples, and documentation for Computer Vision.

darknet

[ObjDet] YOLOv4 / Scaled-YOLOv4 / YOLOv3 / YOLOv2 implementations.

detectron2

[ObjDet] [ObjSeg] Facebook FAIR's next-generation platform for object detection, segmentation, and other visual recognition tasks.

detr

[ObjDet] Facebook's end-to-end object detection with transformers.

faceclassification

[ObjCls] [ObjDet] Real-time face detection and emotion/gender classification.

fastdup

[NvlDet] [CBIR] Unsupervised and free tool for image and video dataset analysis.

iNNvestigate

[XAI] TensorFlow toolbox for investigating neural network predictions.

ignite

[GenLib] PyTorch's high-level library to help with training and evaluating neural networks flexibly and transparently.

image-match

[CBIR] Fast image retrieval system capable of searching over billions of images.

image-quality-assessment

[AesAss] Idealo's NIMA model to predict the aesthetic and technical quality of images.

imagededup

[CBIR] Simple tool to find and remove duplicate images from datasets.

imagen-pytorch

[TexImg] PyTorch implementation of Google's Imagen text-to-image neural network.

keras-cv

[GenLib] Library of modular computer vision oriented Keras components.

keras-vis

[XAI] Neural network visualization toolkit for Keras.

libfacedetection

[ObjDet] Open source library for face detection in images, achieving 1000FPS.

mmaction

[ActRec] OpenMMLab's open-source toolbox for action understanding based on PyTorch.

mmclassification

[ObjCls] OpenMMLab's image classification toolbox and benchmark.

mmdetection

[ObjDet] OpenMMLab's image detection toolbox and benchmark.

mmocr

[OCR] OpenMMLab's text detection, recognition and understanding toolbox.

mmsegmentation

[ObjSeg] OpenMMLab's semantic segmentation toolbox and benchmark.

mmtracking

[ObjTrk] OpenMMLab's video perception toolbox for object detection and tracking.

ncnn

[GenLib] Tencent's high-performance neural network inference framework optimized for mobile platforms.

openpose

[PosEst] Real-time multi-person keypoint detection for body, face, hands, and feet.

pjreddie/darknet

| [AlexeyAB/darknet](https://github.com/AlexeyAB/darknet) | [ObjDet] | YOLOv4 / Scaled-YOLOv4 / YOLOv3 / YOLOv2 |

pyod

[NvlDet] Python toolbox for scalable outlier and anomaly detection.

pytesseract

[OCR] A Python wrapper for Google's Tesseract OCR engine.

pytorch-cnn-visualizations

[XAI] PyTorch implementations of convolutional neural network visualization techniques.

pytorch-grad-cam

[XAI] Advanced AI explainability for computer vision in PyTorch.

pytorch-lightning

[GenLib] Lightweight PyTorch wrapper for high-performance AI research.

pytorchgeometric

[GenLib] Graph Neural Network Library for PyTorch.

segmentationmodels.pytorch

[ObjSeg] PyTorch segmentation models with pretrained backbones.

vit-pytorch

[ObjCls] SOTA implementations of vision transformers in PyTorch.

yolov5

[ObjDet] Ultralytics' YOLOv5 object detection framework.

Image

Encoding and decoding images in Rust · ✅ active

ImageProc

Image processing operations built on the image crate · ✅ active

OpenCV-Rust

Rust bindings for OpenCV 3.4, 4.x, and 5.x · ✅ active

Photon

Rust/WebAssembly image processing library · ⚠️ legacy

BMVA CVSS

British Computer Vision Summer School [2013-Present], UK · Organized by BMVA · ✅ active

ICVSS

International Computer Vision Summer School [2007-Present], Sicily, Italy · competitive application · winner of the IEEE PAMI Mark Everingham Prize (2017) · ✅ active

VISUM

Machine Intelligence and Visual Computing Summer School [2013-2020], Porto, Portugal · 🗄️ concluded

CORE Conference Ranking

Frida de Sigley

anomaly-detection-resources

, Anomaly detection related books, papers, videos, and toolboxes

awesome-FaceRecognition

, Computer vision papers about faces.

awesome-satellite-imagery-datasets

List of satellite image training datasets with annotations for computer vision and deep learning

benthecoder/yt-channels-DS-AI-ML-CS

the-incredible-pytorch

, Curated list of tutorials, papers, projects, communities and more relating to PyTorch

@AAmini

[Individual], Alexander Amini: Research Affilliate at MIT, videos about deep learning and data science.

@AICoffeeBreak

[Individual], AI Coffee Break with Letitia: short, accessible walkthroughs of recent AI and CV research.

@AladdinPersson

[Individual], Aladdin Persson: clear implementations of ML and CV papers from scratch in PyTorch and TensorFlow.

@AurelienGeron

[Individual], Aurélien Géron: former lead of YouTube's video classification team, and author of the O'Reilly book Hands-On Machine Learning with Scikit-Learn and TensorFlow.

@CodeEmporium

[Individual], The Code Emporium: intuitive explanations of ML concepts and architectures.

@ComputerVisionFoundation

[Conferences], Computer Vision Foundation (CVF): co-sponsored conferences on computer vision (e.g. CVPR and ICCV).

@DeepFindr

[Individual], Videos about all kinds of Machine Learning / Data Science topics.

@KapilSachdeva

[Individual], Kapil Sachdeva: in-depth explanations of ML research and engineering.

@LesHouches-iu6nv

[Talks], Summer school on Statistical Physics of Machine learning held in Les Houches, July 4 - 29, 2022.

@LondonMachineLearningMeetup

[Talks], Largest machine learning community in Europe.

@MachineLearningStreetTalk

[Talks], top AI podcast on Spotify.

@MatthiasNiessner

[Individual], Matthias Niessner: Professor at the Technical University of Munich and head of the Visual Computing Lab.

@MichaelBronsteinGDL

[Individual], Michael Bronstein: DeepMind Professor of AI, University of Oxford / Head of Graph Learning Research, Twitter.

@PieterAbbeel

[Individual], Pieter Abbeel: professor of electrical engineering and computer sciences, University of California, Berkeley.

@PreserveKnowledge

[Talks], Canada higher education media organization that focuses on advances in mathematics, computer science, and artificial intelligence.

@SmithaKolan

[Individual], Smitha Kolan: computer vision tutorials focused on practical applications.

@TheAIEpiphany

[Papers], Aleksa Gordić: x-Google DeepMind, x-Microsoft engineer explaining AI papers.

@TubingenML

[University], Machine Learning groups at the University of Tübingen.

@TwoMinutePapers

[Papers], Two Minute Papers: Explaining AI papers in few mins.

@UCFCRCV

[University], Center for Research in Computer Vision at University of Central Florida.

@WeightsBiases

[Talks], Weights and Biases team's conversations with industry experts, and researchers.

@WhatsAI

[Individual], Louis-François Bouchard: PhD in MILA, videos about AI.

@YannicKilcher

[Individual], Yannic Kilcher: videos about machine learning research papers, programming, and issues of the AI community, and the broader impact of AI in society.

@alfcnz

[Individual], Alfredo Canziani: assistant professor at NYU, deep learning theory and practice.

@arpai

[Individual], Jay Alammar: applied ML and computer vision projects.

@bmvabritishmachinevisionas8529

[Conferences], BMVA: British Machine Vision Association.

@bycloudAI

[Papers], bycloud: covers the latest AI tech/research papers for fun.

@computervisiontalks4659

[Talks], Computer Vision Talks.

@cvprtum

[University], Computer Vision Group at Technical University of Munich.

@deeplizard

[Individual], Videos about building collective intelligence.

@dynamicvisionandlearninggr1022

[University], Dynamic Vision and Learning research group channel! Technical University of Munich.

@freecodecamp

[Talks], Videos to learn how to code.

@howardjeremyp

[Individual], Jeremy Howard: former president and chief scientist of Kaggle, and co-founder of fast.ai.

@mildlyoverfitted

[Individual], Mildly Overfitted: hands-on CV and ML tutorials with clean code.

@pascalpoupart3507

[Individual], Pascal Poupart: professor in the David R. Cheriton School of Computer Science at the University of Waterloo.

@sentdex

[Individual], sentdex: provides Python programming tutorials in machine learning, finance, data analysis, robotics, web development, game development and more.

NicholasRenotte

[Individual], Nicholas Renotte: videos about computer vision, natural language processign and reinforcement learning applications.

abhishekkrthakur

[Individual], Abhishek Thakur: world's first Quadruple Grand Master on Kaggle, videos about applied machine learning, deep learning, and data science.

marksaroufim

[Individual], Mark Saroufim: PyTorch engineer at Meta (Facebook), videos about AI.

mrdbourke

[Individual], Daniel Bourke: ML engineer in healthcare, videos about AI.

Awesome Computer Vision Resources

A structured learning reference covering computer vision foundations, classical methods, deep learning, modern research, libraries, courses, conferences, datasets and repositories.

CS231n: Deep Learning for Computer Vision

Advanced course on neural methods for visual recognition, including convolutional networks, transformers, self-supervised learning and generative vision models.