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Open Sans

IARPA Award for "Walk-Through Rendering From Images of Varying Altitudes

IEEE Computer Vision and Pattern Recognition (CVPR) 

International Journal of Computer Vision

IEEE Transactions on Pattern Analysis and Machine Intelligence

Edge-based Privacy-Sensitive Live Learning for Discovery of Training Data

Towards long-tailed 3d detection

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models

Reconstructing animatable categories from videos

Distilling Neural Fields for Real-Time Articulated Shape Reconstruction

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.

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

Carnegie Mellon University Profile 

Personal Website

Google Scholar Citations

SpreeAI Is Redefining Retail With Virtual AI-Powered Try-Ons Curated by the Top in Tech and Fashion

Generative modeling tool renders 2D sketches in 3D

Self-driving cars would be nowhere without HD maps

New Perception Metric Balances Reaction Time, Accuracy

Carnegie Mellon, Argo AI to Create Self-Driving Vehicle Research Center

Beyond deep fakes: Transforming video content into another video's style, automatically

Professor

Deva Ramanan's talk: MultiModal Perception of the 4D World for Autonomous Navigation: Flexible Maps, Fusion, and Forecasting at CVPR23 E2EAD Workshop, hosted by  @OpenDriveLab  (https://opendrivelab.com)

AD Challenge: https://opendrivelab.com/AD23Challenge.html
CVPR23 E2EAD Workshop: https://opendrivelab.com/e2ead/cvpr23.html

CVPR23 E2EAD | Deva Ramanan, Invited Talk

Talk given on 2021/06/20.

Deva Ramanan is an associate professor at the Robotics Institute at Carnegie-Mellon University and the director of the CMU Argo AI Center for Autonomous Vehicle Research. His research interests span computer vision and machine learning, with a focus on visual recognition. He was awarded the David Marr Prize in 2009, the PASCAL VOC Lifetime Achievement Prize in 2010, an NSF Career Award in 2010, the UCI Chancellor's Award for Excellence in Undergraduate Research in 2011, the IEEE PAMI Young Researcher Award in 2012, was named one of Popular Science's Brilliant 10 researchers in 2012, was named a National Academy of Sciences Kavli Fellow in 2013, and won the Longuet-Higgins Prize in 2018 for fundamental contributions in computer vision. His work is supported by NSF, ONR, DARPA, as well as industrial collaborations with Intel, Google, and Microsoft.

[CVPR'21 WAD] Keynote - Deva Ramanan, Argo/CMU

Deva Ramanan (CMU / Argo AI) "Embodied Perception In the Wild". 

Machines Can See 2020 is the 4th annual computer vision and machine learning summit organized by VisionLabs.
http://machinescansee.com/

MCS 2020. Day 1. Deva Ramanan

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