Srikumar Ramalingam

Srikumar Ramalingam
  • Phone: 617-621-7561
  • Email: ramalingam[at]merl[dot]com
  • Biography

    Srikumar's PhD thesis on generic imaging models received the INPG best thesis prize and the AFRIF thesis prize (honorable mention) from the French Association for Pattern Recognition. His research interests include multi-view geometry and discrete optimization. At MERL, he has been working on robotics and car-navigation projects.

  • News & Events

    •  NEWS   CVPR 2013: 3 publications by Yuichi Taguchi, Srikumar Ramalingam, C. Oncel Tuzel, Amit K. Agrawal and Ming-Yu Liu
      Date: June 23, 2013
      Where: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
      MERL Contacts: C. Oncel Tuzel; Srikumar Ramalingam; Yuichi Taguchi; Ming-Yu Liu
      Research Areas: Spatial Analysis, Computational Photography, Computer Vision
      Brief
      • The papers "Single Image Calibration of Multi-Axial Imaging Systems" by Agrawal, A. and Ramalingam, S., "Joint Geodesic Upsampling of Depth Images" by Liu, M-Y, Tuzel, O. and Taguchi, Y. and "Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes" by Ramalingam, S., Pillai, J.K., Jain, A. and Taguchi, Y. were presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    •  
    •  TALK   Holistic Models for Visual Perception in Autonomous Systems
      Date & Time: Thursday, May 23, 2013; 12:00 PM
      Speaker: Prof. Raquel Urtasun, TTI-Chicago
      MERL Host: Srikumar Ramalingam
      Research Area: Spatial Analysis
      Brief
      • The development of autonomous systems that can effectively assist people with everyday tasks is one of the grand challenges in modern computer science. Notable examples are personal robotics for the elderly and people with disabilities, as well as autonomous driving systems which can help decrease fatalities caused by traffic accidents. To achieve full autonomy, multiple perception tasks must be solved: Autonomous systems should sense the environment, recognize the 3D world and interact with it. While most approaches have tackled individual perceptual components in isolation, I believe that the next generation of perceptual systems should reason jointly about multiple tasks.

        In this talk I'll argue that there are four key aspects towards developing such holistic models: (i) learning, (ii) inference (iii) representation, and (iv) data. I'll describe efficient Markov random field learning and inference algorithms that exploit both the structure of the problem as well as parallel computation to achieve computational and memory efficiency. I'll demonstrate the effectiveness of our models on a wide variety of examples, and show representations and inference strategies that allow us to achieve state-of-the-art performance and result in several orders of magnitude speed-ups in a variety of challenging tasks, including 3D reconstruction, 3D layout parsing, object detection, semantic segmentation and free text exploitation for holistic visual recognition.
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  • MERL Publications

    •  Naini, R., Rane, S., Ramalingam, S., "A vanishing point-based global descriptor for Manhattan scenes", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP.2014.6854423, May 2014, pp. 4349-4353.
    •  Ataer-Cansizoglu, E., Taguchi, Y., Ramalingam, S., Garaas, T., "Tracking an RGB-D Camera Using Points and Planes", IEEE Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV), December 2013.
      BibTeX Download PDFRead TR2013-106
      • @inproceedings{Ataer-Cansizoglu2013dec,
      • author = {Ataer-Cansizoglu, E. and Taguchi, Y. and Ramalingam, S. and Garaas, T.},
      • title = {Tracking an RGB-D Camera Using Points and Planes},
      • booktitle = {IEEE Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV)},
      • year = 2013,
      • month = dec,
      • url = {http://www.merl.com/publications/TR2013-106}
      • }
    •  Ramalingam, S., Brand, M., "Lifting 3D Manhattan Lines from a Single Image", IEEE International Conference on Computer Vision (ICCV), December 2013.
      BibTeX Download PDFRead TR2013-110
      • @inproceedings{Ramalingam2013dec,
      • author = {Ramalingam, S. and Brand, M.},
      • title = {Lifting 3D Manhattan Lines from a Single Image},
      • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
      • year = 2013,
      • month = dec,
      • url = {http://www.merl.com/publications/TR2013-110}
      • }
    •  Liu, M-Y, Tuzel, O., Ramalingam, S., Chellappa, R., "Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint", IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2013.107, ISSN: 0162-8828, Vol. 36, No. 1, pp. 99-112, January 2014.
      BibTeX Download PDFRead TR2013-117
      • @article{Liu2013nov,
      • author = {Liu, M.-Y. and Tuzel, O. and Ramalingam, S. and Chellappa, R.},
      • title = {Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint},
      • journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
      • year = 2013,
      • volume = 36,
      • number = 1,
      • pages = {99--112},
      • month = nov,
      • doi = {10.1109/TPAMI.2013.107},
      • issn = {0162-8828},
      • url = {http://www.merl.com/publications/TR2013-117}
      • }
    •  Agrawal, A., Ramalingam, S., "Single Image Calibration of Multi-Axial Imaging Systems", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/CVPR.2013.184, ISSN: 1063-6919, June 2013, pp. 1399-1406.
      BibTeX Download PDFRead TR2013-041
      • @inproceedings{Agrawal2013jun1,
      • author = {Agrawal, A. and Ramalingam, S.},
      • title = {Single Image Calibration of Multi-Axial Imaging Systems},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2013,
      • pages = {1399--1406},
      • month = jun,
      • doi = {10.1109/CVPR.2013.184},
      • issn = {1063-6919},
      • url = {http://www.merl.com/publications/TR2013-041}
      • }
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  • MERL Issued Patents

    • Title: "Method and System for Determining Poses of Vehicle-Mounted Cameras for In-Road Obstacle Detection"
      Inventors: Ramalingam, Srikumar; Taguchi, Yuichi; Zhu, Menglong
      Patent No.: 8,831,290
      Issue Date: Sep 9, 2014
    • Title: "Method and System for Determining Projections in Non-Central Catadioptric Optical Systems"
      Inventors: Agrawal, Amit K.; Taguchi, Yuichi; Ramalingam, Srikumar
      Patent No.: 8,630,446
      Issue Date: Jan 14, 2014
    • Title: "Method for Generating Convex Polyhedral Visual Hulls for 3D Objects from Polygonal Silhouettes"
      Inventors: Ramalingam, Srikumar; Agrawal, Amit K.; Taguchi, Yuichi
      Patent No.: 8,605,991
      Issue Date: Dec 10, 2013
    • Title: "Digital Refocusing for Wide-Angle Images Using Axial-Cone Cameras"
      Inventors: Taguchi, Yuichi; Agrawal, Amit K.; Veeraraghavan, Ashok N.; Ramalingam, Srikumar; Raskar, Ramesh N.
      Patent No.: 8,493,432
      Issue Date: Jul 23, 2013
    • Title: "Method for Determining 3D Poses Using Points and Lines"
      Inventors: Ramalingam, Srikumar
      Patent No.: 8,442,305
      Issue Date: May 14, 2013
    • Title: "Method for Segmenting Images Using Superpixels and Entropy Rate Clustering"
      Inventors: Tuzel, C. Oncel; Ramalingam, Srikumar; Liu, Ming-Yu
      Patent No.: 8,428,363
      Issue Date: Apr 23, 2013
    • Title: "Method and System for Localizing in Urban Environments From Omni-Direction Skyline Images"
      Inventors: Ramalingam, Srikumar; Brand, Matthew E.
      Patent No.: 8,311,285
      Issue Date: Nov 13, 2012
    • Title: "Method for Determining a Location From Images Acquired of an Environment with an Omni-Directional Camera"
      Inventors: Ramalingam, Srikumar; Brand, Matthew E.; Bouaziz, Sofien
      Patent No.: 8,249,302
      Issue Date: Aug 21, 2012
    • Title: "Method for Registering 3D Points with 3D Planes"
      Inventors: Ramalingam, Srikumar; Taguchi, Yuichi
      Patent No.: 8,224,071
      Issue Date: Jul 17, 2012
    • Title: "Method and System for Determining Poses of Specular Objects"
      Inventors: Ramalingam, Srikumar; Veeraraghavan, Ashok N.; Taguchi, Yuichi; Tuzel, C. Oncel; Shroff, Nitesh
      Patent No.: 8,165,403
      Issue Date: Apr 24, 2012
    • Title: "Method and System for Determining Projections in Non-Central Catadioptric Optical Systems"
      Inventors: Taguchi, Yuichi; Agrawal, Amit K.; Ramalingam, Srikumar
      Patent No.: 8,134,786
      Issue Date: Mar 13, 2012
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