Expertise

Topics:  Human-Centered Robotics, Human-Robot Collaboration, Machine Learning Embedded in Systems, Neurorobotics, 3-D Vision and Recognition, Computer Vision, Visual Servoing and Visual Tracking, First-Person Vision, Sensing & Perception, Graphics & Creative Tools

Industries: Computer Networking, Automotive

Deva Ramanan is a professor in the Robotics Institute at Carnegie Mellon University and the director of the CMU Argo AI Center for Autonomous Vehicle Research. The Center engages in fundamental research to produce advanced perception and next-generation decision-making algorithms that enable vehicles to perceive and navigate autonomously in diverse real-world urban conditions. His research interests span computer vision and machine learning, with a focus on visual recognition often motivated by the task of understanding people from visual data. He served at the program chair of the IEEE Computer Vision and Pattern Recognition (CVPR) 2018. He is on the editorial board of the International Journal of Computer Vision and is an associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence. He regularly serves as a senior program committee member for CVPR, the International Conference on Computer Vision, and the European Conference on Computer Vision. He also regularly serves on NSF panels for computer vision and machine learning.

Media Experience

SpreeAI Is Redefining Retail With Virtual AI-Powered Try-Ons Curated by the Top in Tech and Fashion  — Associated Press
Deva Ramanan (Robotics Institute) believes SpreeAI is "assembling a team that understands both the deep technical challenges and their product impact." SpreeAI is an app that allows users to virtually try on outfits.

Generative modeling tool renders 2D sketches in 3D  — Tech Xplore
"As long as you can draw a sketch, you can make your own customized 3D model," said RI doctoral candidate Kangle Deng, who was part of the research team with Zhu, Professor Deva Ramanan and Ph.D. student Gengshan Yang.

Self-driving cars would be nowhere without HD maps  — Axios
"Even though a traffic light and the moon may resemble each other, a self-driving system should use a combination of contextual cues — including spatial, temporal and prior knowledge — to tell them apart," Deva Ramanan, principal scientist at self-driving tech competitor Argo AI explains in a blog post.

New Perception Metric Balances Reaction Time, Accuracy  — Carnegie Mellon University
The new metric, called streaming perception accuracy, was developed by Li, together with Deva Ramanan, associate professor in the Robotics Institute and principal scientist at Argo AI, and Yu-Xiong Wang, assistant professor at the University of Illinois at Urbana-Champaign. They presented it last month at the virtual European Conference on Computer Vision, where it received a best paper honorable mention award.

Carnegie Mellon, Argo AI to Create Self-Driving Vehicle Research Center  — Robotics Business Review
Deva Ramanan, an associate professor in the Robotics Institute who also serves as machine learning lead at Argo AI, will be the center’s principal investigator. The center’s research will involve faculty members and students from across CMU. The center will give students access to the fleet-scale data sets, vehicles and large-scale infrastructure that are crucial for advancing self-driving technologies and that otherwise would be difficult to obtain.

Beyond deep fakes: Transforming video content into another video's style, automatically  — EurekAlert!
Bansal will present the method today at ECCV 2018, the European Conference on Computer Vision, in Munich. His co-authors include Deva Ramanan, CMU associate professor of robotics.