A curated list of some of the best research groups in Computer Vision
| Research Group | Institution | Focus Areas | Website |
|---|---|---|---|
| Robotics Institute | Carnegie Mellon University | 3D reconstruction, autonomous systems, medical imaging | Link |
| Computer Science and AI Laboratory (CSAIL) | MIT | Object recognition, scene understanding, foundational work with faculty like Antonio Torralba | Link |
| Stanford AI Lab (SAIL) and Vision Lab | Stanford University | Pioneering work in deep learning for vision, including Fei-Fei Li's ImageNet project | Link |
| Berkeley Artificial Intelligence Research (BAIR) | UC Berkeley | Applications in robotics and augmented reality, segmentation, motion analysis | Link |
| Computer Vision Group | University of Toronto | Neural networks, strong ties to the Vector Institute | Link |
| Computer Vision Lab | ETH Zurich | Drone navigation, biomedical imaging, engineering applications | Link |
| Computational and Biological Learning (CBL) | Cambridge University | Machine learning for vision, with researchers like Ghahramani, Rasmussen, Turner | Link |
| Gatsby Unit | University College London (UCL) | Statistical machine learning and neuroscience approaches to vision | Link |
| Computer Vision Group | MPI Tübingen | Core vision problems and biological vision systems | Link |
| Amsterdam Machine Learning Lab (AMLab) | University of Amsterdam | Led by Max Welling, focuses on deep generative models | Link |
| Bayesian and Neural Systems | University of Edinburgh | Probabilistic methods and deep learning for vision | Link |
| Machine Intelligence Group | University of Edinburgh | Computer vision and machine learning integration | Link |
| Computer Vision Group | Imperial College London | Medical image analysis and general vision problems | Link |
| Visual Geometry Group (VGG) | University of Oxford | Geometric approaches to vision problems, renowned for VGGNet | Link |
| Applied and Theoretical ML Group | University of Oxford | Uncertainty in deep learning for vision, led by Yarin Gal | Link |
| Dalle Molle Institute (IDSIA) | USI-SUPSI, Lugano | Neural networks for vision, led by Jürgen Schmidhuber | Link |
| SIERRA Team | ENS, INRIA Paris | Statistical machine learning for vision applications | Link |
| Machine Learning Group | Technical University Berlin | SVMs, neural networks, kernel methods for vision | Link |
| Computer Vision Group | Stony Brook University | Ranked in top 10 nationally, focuses on various vision tasks | Link |
| Optimization for Vision and Learning | University of Oxford | Optimization methods for vision problems, led by M. Pawan Kumar | Link |
| Mila | University of Montreal | Deep learning for vision, led by Yoshua Bengio | Link |
| Computational Vision Lab | Caltech | Visual recognition and human visual system modeling | Link |
| UCLA Vision Lab | UCLA | Image analysis and understanding, video interpretation | Link |
| CI2CV Lab | Various Affiliations | Mobile computer vision, model-based vision, alignment and learning | Link |
| Computer Vision Center (CVC) | Universitat Autònoma de Barcelona | Document analysis, medical imaging, intelligent transportation | Link |
| Willow Team | INRIA Paris | Large-scale visual recognition and scene understanding | Link |
| GRAIL | University of Washington | Graphics and imaging applications for computer vision | Link |
| Computer Vision Group | TU Munich | 3D reconstruction, autonomous navigation, medical imaging | Link |
| Computer Vision Group | University of Illinois at Urbana-Champaign | Object recognition, scene understanding, activity recognition | Link |
| Multimedia Laboratory | The Chinese University of Hong Kong | Image/video analysis, deep learning for vision | Link |
| Computer Vision Lab | KAIST | Visual recognition, 3D vision, medical imaging | Link |
| Computer Vision Lab | Seoul National University | Scene understanding, visual recognition | Link |
| Australian Institute for Machine Learning | University of Adelaide | Visual recognition, medical imaging, surveillance | Link |
| Computer Vision Laboratory | University of Maryland | Object recognition, scene understanding, video analysis | Link |
| Toyota Technological Institute | Chicago | Vision algorithms for autonomous systems | Link |
| Computer Vision Group | University of Michigan | 3D reconstruction, object recognition, medical imaging | Link |
| Computer Vision Group | Cornell University | Scene understanding, activity recognition | Link |
| Visual Computing Group | Harvard University | Graphics and vision integration | Link |
| Computer Vision Laboratory | Columbia University | 3D modeling, motion analysis, object recognition | Link |
| Computer Vision and Active Perception Lab | KTH Royal Institute of Technology | Robotics vision, human-computer interaction | Link |
| Center for Research in Computer Vision | University of Central Florida | Action recognition, anomaly detection, surveillance | Link |
| Computer Vision Lab | Penn State University | Medical imaging, biometrics, surveillance | Link |
| Vision, Dynamics and Learning Lab | Johns Hopkins University | Motion analysis, medical imaging | Link |
| Image Processing Group | Heidelberg University | 3D reconstruction, biomedical imaging | Link |
| Visual Computing Group | University of Bath | Graphics and vision integration, AR/VR | Link |
| Image and Vision Computing Group | University of Warwick | Medical imaging, industrial inspection | Link |
| Machine Intelligence Lab | University of Cambridge | Probabilistic models for vision, led by Zoubin Ghahramani | Link |
| Computer Vision Lab | National University of Singapore | Scene understanding, 3D reconstruction | Link |
| Computational Perception Lab | Georgia Tech | Human-centered perception systems | Link |
| Vision and AI Lab (VAL) | Indian Institute of Science Bangalore | Computer Vision and ML | Link |
| Image Processing and Computer Vision (IPCV) Lab | Indian Institute of Technology Madras | Multi-Modal CV, 3D Recovery and Image Synthesis | Link |
| Research Group | Company | Focus Areas | Website |
|---|---|---|---|
| Meta AI Research (FAIR) | Meta | Foundational research, open-source tools like Detectron2 and DINOv2 | Link |
| DeepMind | Google/Alphabet | Reinforcement learning, general AI capabilities for vision | Link |
| Microsoft Research | Microsoft | Computer vision with researchers like Nowozin, Fitzgibbon, Minka | Link |
| Amazon Science | Amazon | Vision applications for retail, robotics, cloud services | Link |
| Google Research | Vision algorithms for various Google products and services | Link | |
| Disney Research | Disney | Entertainment-focused computer vision applications | Link |
| Apple Computer Vision Research | Apple | Vision systems for Apple devices and services | Link |
| SenseTime | SenseTime | Chinese leader in computer vision and deep learning | Link |
| MegVii | MegVii | Face recognition and general vision systems | Link |
| viso.ai | viso.ai | No-code computer vision platform for enterprises | Link |
| NAUTO | NAUTO | Computer vision for autonomous vehicle safety | Link |
| Verkada | Verkada | AI-powered security cameras and systems | Link |
| Tractable | Tractable | AI for accident and disaster recovery | Link |
| Airobotics | Airobotics | Autonomous drone systems with computer vision | Link |
| Hawk-Eye Innovations | Hawk-Eye | Sports video analysis and officiating systems | Link |
| Trigo | Trigo | Autonomous store checkout systems | Link |
| Movidius | Intel | Vision processing units (VPUs) for edge devices | Link |
| Standard Cognition | Standard Cognition | Autonomous checkout for retail | Link |
| Orbital Insight | Orbital Insight | Geospatial analytics using satellite imagery | Link |
| Regna | Regna | Computer vision applications for enterprises | Link |
| AnyClip | AnyClip | Video content analysis and management platform | Link |
| Bossa Nova Robotics | Bossa Nova | Retail inventory management using robots and vision | Link |
| Descartes Labs | Descartes Labs | Geospatial data analysis platform | Link |
| Zebra Medical Vision | Zebra Medical | AI-powered medical imaging analysis | Link |
| Neuromation | Neuromation | Synthetic data generation for computer vision | Link |
| Shield AI | Shield AI | AI systems for defense applications | Link |
| EyeSight | EyeSight | AI vision technology for automotive and consumer electronics | Link |
| Onfido | Onfido | Identity verification using computer vision | Link |
| Nuro | Nuro | Autonomous delivery vehicles | Link |
| UiPath | UiPath | Computer vision for robotic process automation | Link |
| Cerence | Cerence | AI for automotive assistant systems | Link |
| Cyngn | Cyngn | Autonomous vehicle systems for industrial applications | Link |
| NVIDIA Research | NVIDIA | GPU-accelerated computer vision algorithms | Link |
| Intel AI Lab | Intel | Vision algorithms optimized for Intel hardware | Link |
| Qualcomm AI Research | Qualcomm | On-device AI for mobile vision applications | Link |
| Adobe Research | Adobe | Vision for creative applications and content analysis | Link |
| IBM Research AI | IBM | Enterprise computer vision applications | Link |
| Baidu Research | Baidu | Chinese leader in vision and deep learning research | Link |
| Tencent AI Lab | Tencent | Vision systems for social and gaming applications | Link |
| Samsung AI Center | Samsung | Vision for mobile devices and smart appliances | Link |
| Huawei Noah's Ark Lab | Huawei | Vision research for mobile and cloud applications | Link |
| ByteDance AI Lab | ByteDance | Vision for social media and content platforms | Link |
| Alibaba DAMO Academy | Alibaba | E-commerce and cloud-based vision solutions | Link |
| Preferred Networks | Preferred Networks | Deep learning for IoT and industrial applications | Link |
| Element AI | ServiceNow | Enterprise AI solutions with vision components | Link |
| Waymo | Alphabet | Computer vision for autonomous vehicles | Link |
| Cruise | GM | Autonomous vehicle perception systems | Link |
| Scale AI | Scale | Data annotation and synthetic data for vision | Link |
| Clarifai | Clarifai | Visual recognition APIs and platforms | Link |
| Affectiva | Affectiva | Emotion recognition from visual data | Link |
| Dataminr | Dataminr | Real-time visual data analysis for alerts | Link |
| H2O.ai | H2O.ai | Automated machine learning for vision applications | Link |
| Graphcore | Graphcore | Hardware accelerators for vision processing | Link |
| Landing AI | Landing AI | Manufacturing-focused computer vision solutions | Link |