Home
How It Works
Solutions
For Academic Experts
Resources
Events
Blog
Case Studies
Request Demo
Sign Up
Login

Work with thought leaders and academic experts in computer vision pattern recognition

Companies can greatly benefit from working with experts in Computer Vision and Pattern Recognition. These professionals can help enhance image and video analysis, develop advanced surveillance systems, improve object recognition and tracking, automate quality control processes, enable facial recognition technology, and optimize augmented reality experiences. By collaborating with academic researchers in this field, companies can leverage cutting-edge technology, gain valuable insights, and stay ahead of the competition.

Experts on NotedSource with backgrounds in computer vision pattern recognition include Anna Jobin, Suhang Wang, Kayvan Najarian, Ali Kazemi Jahromi, Paul Schrater, and Elena Di Rosa.

Anna Jobin

Researcher at Alexander von Humboldt Institute for Internet and Society
Most Relevant Research Interests
Other Research Interests (25)
sciene & technology
digital ethics
artificial intelligence
Computer Networks and Communications
Hardware and Architecture
And 20 more
About
Anne Jobin is a Swiss sociologist and researcher who specializes in the areas of science, technology, and society (STS). She holds a Doctor of Social Sciences from Université de Lausanne, and has been a visiting research scholar at Tufts University and Cornell University. She is currently a researcher at the (ETH) and the École Polytechnique Fédérale de Lausanne.

Suhang Wang

Professor at Pennsylvania State University
Most Relevant Research Interests
Other Research Interests (31)
Machine learning
data mining
social media mining
deep learning
Data mining
And 26 more
About
Dr. Suhang Wang is an Assistant Professor of Computer Science and Engineering at Pennsylvania State University. He received his PhD in Computer Science from Arizona State University in 2018, and his Master's degree in Electrical Engineering: Systems from the University of Michigan in 2013. Before joining Penn State, Dr. Wang was a postdoctoral researcher at the University of California, Santa Barbara. His research interests include natural language processing, artificial intelligence, and machine learning. He was recognized for his work at the International Conference on Knowledge Discovery and Data Mining in 2017 and the Fifth ACM International Conference on Web Search and Data Mining in 2016.

Kayvan Najarian

Professor of Comp Med and Bioinf, Emergency Med, and Electrical and Comp Engineering
Most Relevant Research Interests
Other Research Interests (41)
biomedical inforamtics
bioinformatics
singal processing
image processing
machine learning
And 36 more

Ali Kazemi Jahromi

Senior Optical Scientist interested in research on novel optical devices, with an interest in machine learning and data science
Most Relevant Research Interests
Other Research Interests (14)
General Physics and Astronomy
General Biochemistry, Genetics and Molecular Biology
General Chemistry
Multidisciplinary
Computer Vision and Pattern Recognition
And 9 more

Paul Schrater

University of Minnesota
Most Relevant Research Interests
Other Research Interests (46)
Artificial Intelligence
Computational Psychology
Cognitive Science
General Neuroscience
Multidisciplinary
And 41 more

Elena Di Rosa

Philosophy Ph.D. Candidate, Princeton University
Most Relevant Research Interests
Other Research Interests (6)
Ethics
Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition
Human-Computer Interaction
And 1 more

Example computer vision pattern recognition projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on computer vision pattern recognition?

Enhancing Image and Video Analysis

An academic researcher in Computer Vision and Pattern Recognition can help companies improve their image and video analysis capabilities. By developing advanced algorithms and techniques, they can enhance object detection, segmentation, and classification, enabling more accurate and efficient analysis of visual data.

Developing Advanced Surveillance Systems

Collaborating with an expert in Computer Vision and Pattern Recognition can enable companies to develop advanced surveillance systems. These systems can utilize computer vision algorithms to detect and track objects, identify suspicious activities, and enhance security measures.

Improving Object Recognition and Tracking

Companies can benefit from the expertise of a researcher in Computer Vision and Pattern Recognition to improve their object recognition and tracking capabilities. By developing robust algorithms and models, they can accurately identify and track objects in real-time, enabling applications in autonomous vehicles, robotics, and more.

Automating Quality Control Processes

Academic researchers in Computer Vision and Pattern Recognition can help companies automate their quality control processes. By developing computer vision systems that can detect defects, anomalies, and inconsistencies in manufacturing processes, companies can improve efficiency, reduce errors, and ensure product quality.

Enabling Facial Recognition Technology

Collaborating with an expert in Computer Vision and Pattern Recognition can enable companies to leverage facial recognition technology. This can have applications in various industries, such as security, retail, and healthcare, allowing for personalized experiences, enhanced security measures, and improved customer service.

Optimizing Augmented Reality Experiences

Companies can benefit from the expertise of academic researchers in Computer Vision and Pattern Recognition to optimize their augmented reality (AR) experiences. By developing computer vision algorithms that accurately track and overlay virtual objects onto the real world, companies can create immersive and realistic AR applications.