Bio
I have moved to Google NYC. I do not have any new openings for interns or Ph.D. positions at the school of computing .
Srikumar Ramalingam worked as an associate professor in the school of computing at the University of Utah till 2021. Previously he worked as a senior principal research scientist for more than 8 years at Mitsubishi Electric Research Laboratories (MERL). His research interests are in computer vision, machine learning, and robotics. He has contributed broadly to perception and prediction using deep neural networks, theoretical modeling of deep neural networks, submodular optimization algorithms, inference in graphical models, 3D reconstruction, semantic segmentation, visual SLAM, and image-based localization. In particular, he has been developing strong geometrical and learning algorithms in the context of autonomous driving applications.
He has co-authored over 50 peer-reviewed publications and holds over 35 US and international patents. His work has received the INPG best thesis award in 2007, AFRIF best thesis honorable mention given by the french association for pattern recognition, honorable mention award in 2015 Robotics Science and Systems Conference (RSS), and the 2014 R&D 100 award-- awarded to 100 most innovative technology introduced in 2013.
He received his Ph.D. at INRIA Grenoble Rhône-Alpes research lab while being enrolled at INPG (National Polytechnical Institute of Grenoble), France. He was a recepient of Marie Curie Visitron scholarship during his Ph.D.
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News
- Service duties: AC for CVPR and 3DV. Workshop chair for CVPR 2018.
- I am giving an invited talk in the Workshop IV: Deep Geometric Learning of Big Data and Applications organized by Institute for Pure and Applied Mathematics (IPAM)
- I co-organized the workshop AutoNUE: Autonomous Navigation in Unconstrained Environments at ECCV 2018.
- I gave an invited talk at the workshop 3D Reconstruction in the Wild at ECCV 2018.
- 2018 Papers: 1 Paper accepted in ICML 2018, 2 papers in CVPR 2018, 1 paper in 3DV 2018, 2 papers in ECCV 2018
- Visited Elder's laboratory in lovely York University and gave an invited talk on 04/06/2018.
- 2018 Area Chair duties: CVPR 2018, ICVGIP 2018, computer vision co-chair in ISVC 2018
- Joined the faculty at the University of Utah in January 2017.
- Left Mitsubishi Electric Research Laboratories (MERL) after spending 8 wonderful years.
Acknowledgment
Sample
Research Videos
State of the art LiDAR SLAM. For more details contact siddhant.ranade@gmail.com
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
New SLC Marathon dataset (> 26 miles) will be released as part of semantic boundary based localization!
Holistic
Scene Understanding for Autonomous Driving
Semantic
Region and Boundary Segmentation methods
Line
Reconstruction from a Single Image
High-Performance
and Tunable Stereo Reconstruction
SKYLINE2GPS:
Localization in Urban Canyons using OmniSkylines
Image-based
Localization using points and lines in Urban Canyons
RGBD-SLAM
using points and planes