Keep up with Computer Vision: 15 Twitter Accounts to Follow

Posted in CV blog / Posted By: ad

Getting connected and learn from each other is an opportunity we have in today’s world. Twitter is one of the networks that can help us learn new things fast and get found in a matter of minutes. We have collected most top-notch Twitter accounts to follow if you are interested in computer vision and algorithms. Some of the accounts are kept by computer vision bloggers. Enjoy!


Sami Badawi

Sami have worked in NLP for several years but spent many years working in the cubicles, at: Goldman Sachs with market risk, Fitch / Algorithmics with operational risk, BlackRock with mortgage backed securities, DoubleClick with Internet advertisement infrastructure, Zyrinx / Scavenger with game development. He has MSc in mathematics and computer science from the University of Copenhagen.

In his twitter account, he shares news and his own articles related to natural language processing, map tech, data mining, machine learning, computer vision, math and category theory. He is also an avid enthusiast in science for kids.


Vincent Spruyt

Vincent Spruyt is a machine learning and pattern recognition aficionado, data scientist, currently working as VP Chief Scientist at Sentiance. He finished his PhD research at the University of Ghent (Belgium), where he was mainly working on computer vision and intelligent video processing (object detection and tracking, classification, segmentation, etc.). On his blog, he regularly posts thoughts, opinions, analyses, derivations and discussions related to computer vision and machine learning. His goal is to make this information as accessible as possible by providing code snippets, examples and background knowledge.

Vincent’s expertise lies mostly in self-adaptive and context-sensitive learning, big data and small data in high dimensional settings.


Andrej Karpathy

Andrej is currently a Computer Science PhD student at Stanford. His research centers around Deep Learning and its applications in Computer Vision, Natural Language Processing and their intersection. In particular, he is interested in fully end-to-end learning with Convolutional/Recurrent Neural Networks architectures and recent advances in Deep Reinforcement Learning. He had two internships at Google where he worked on large-scale feature learning over YouTube videos, and at Deep Reinforcement Learning and Generative Models. He also teaches undergraduate-level class on Convolutional Neural Networks for Visual Recognitionю

In a free time, he keeps a blog, tweet, and maintain several Deep Learning libraries written in Javascript (e.g. ConvNetJS, RecurrentJS, REINFORCEjs, t-sneJS). He also works on, which lets everyone search and sort through 10,000+ CV/LG/CL Arxiv papers over the last 3 years in the same pretty format.


Computer Vision News

Great resource for those searching for events and vacancies. All the aggregated news within the field of Computer Vision, Image Analysis, and Medical Image Analysis are shared here. Useful account to be subscribed to!


Greg Borenstein

Greg Borenstein is a game designer, technologist, and teacher. His work explores game design, computer vision, drawing, machine learning, and generative storytelling as media for play and design. He is a graduate of the NYU Interactive Telecommunications Program and the Playful Systems Group at the MIT Media Lab. He has experience working as a consulting technologist for Polaroid and Samsung Accelerator.

His tweets are mainly about OpenCV for Processing and future technologies.


Tomasz Malisiewicz

Tomasz is an Entrepreneur, Scientist, and the Co-Founder of Previously, he was a Postdoctoral Scholar at MIT’s Computer Science and Artificial Intelligence Laboratory, obtained a PhD in Robotics from Carnegie Mellon University, and studied Physics/CS as an undergraduate student.

He is a visioner of a future filled with intelligent machines that make our everyday lives easier and more enjoyable. That’s why he tweets about Machine Learning, Computer Vision, and recent advances in Deep Learning. He also keeps a blog dedicated to these topics.


Jamie Shotton

Jamie Shotton leads the Machine Intelligence & Perception group at Microsoft Research Cambridge.  He did his PhD in computer vision and machine learning for visual object recognition at the University of Cambridge. His work on machine learning for body part recognition for Kinect was awarded the Royal Academy of Engineering’s gold medal MacRobert Award 2011, and he shares Microsoft’s Outstanding Technical Achievement Award for 2012. In 2014 he received the PAMI Young Researcher Award, and in 2015 the MIT Technology Review Innovator Under 35 Award.

His research is focused at the intersection of computer vision, AI, machine learning, and graphics, with particular emphasis on systems that allow people to interact naturally with computers.


8. socher

Richard Socher

Richard is the Chief Scientist at Salesforce. Previously, he was the Founder and CEO/CTO of MetaMind which was acquired by Salesforce in 2016. His vision is to improve artificial intelligence and make it easily accessible to businesses and the world.I got my PhD in the CS Department at Stanford. Richard also teaches Deep Learning for Natural Language Processing at Stanford.

His interested are reflected in his research in deep learning, natural language processing, and computer vision. These are also the topics he tweets about.


Juan Carlos Niebles

Juan Carlos Niebles is a professor and researcher in computer vision. He is a Senior Research Scientist and Associate Director of Research at the Stanford AI Lab-Toyota Center for AI Research. He is also an Assistant Professor of Electrical and Electronic Engineering in Universidad del Norte (Colombia) since 2011. He received a Ph.D. degree in Electrical Engineering from Princeton University in 2011.

His research interests are in computer vision and machine learning, with a focus on visual recognition and understanding of human actions and activities, objects, scenes, and events.


Alex Vasilescu, PhD.

Alex is an Associate Director at Computer Vision and Graphics Lab in UCLA and a Chief Science Officer at Tensor Vision Technologies. She received her education at MIT and the University of Toronto.

She has published papers in computer vision and computer graphics, particularly in the areas of face recognition (TensorFaces), human motion analysis/synthesis, image-based rendering, and physics-based modeling (deformable models).

In her Twitter account, she shares links related to Tensor analysis and object detection.


Vahid Kazemi

Vahid is a Software Engineer at Machine Intelligence department of Google Research, where he has been responsible for developing machine learning algorithms used for visual object recognition and natural language processing using deep learning techniques. He holds a PhD from Royal Institute of Technology for my work in the field of computer vision. He is passionate about making computers perceive and behave like humans.

His research has been mainly oriented around face recognition and human pose estimation from visual images, so if anyone is interested in these topics, Vahid is the one to follow!

12. adduci

Michele Adduci

Michele is a Computer Engineer specialized in Software Architectures and Software Engineering, who currently works for OpenLimit SignCubes. He has been working on various domains and with strong experience and fundamentals in Computer Vision applications, including image processing, 3D reconstruction and object tracking.

He tweets on various of topics, including coding, design human-machine interfaces, and computer vision.


Levi Lister

Senior Robotics Engineer at Carnegie Mellon University’s National Robotics Engineering Center, Levi has a passion for building software using computer vision and 3D graphics with applications to autonomous robot perception and augmented reality systems.

Levi’s interests include Robotics, Computer Vision, Augmented Reality, so he


Anton Milan

Anton is a post-doctoral researcher at the Australian Centre for Visual Technologies at the University of Adelaide.

His main research interests are computer vision and machine learning with a particular interest in object detection and tracking. Anton is a frequent guest on different conferences and a reviewer of computer vision events organized by IEEE.

If you would like to follow news related to academic computer vision community, follow Anton’s on Twitter.

15. zheng

Shuai Kyle Zheng

Shuai is Graduate Research Assistant, working on computer vision problems such as semantic image segmentation at Torr-Vision group in the University of Oxford. He obtained his MEng in Pattern Recognition from CAS, and my BEng in information engineering (Optoelectronic) from Beijing Institute of Technology.His specialisations are large-scale deep learning, computer vision including image segmentation, object detection, and biometrics.

His specialisations are large-scale deep learning, computer vision including image segmentation, object detection, and biometrics.

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