Publications
by topics:
Optimization
methods (Submodularity, matroids, convex optimization, etc.)
Srikumar
Ramalingam, Arvind Raghunathan, and Daniel Nikovski,
Submodular Function Maximization for Group
Elevator Scheduling, International conference on automated
scheduling and planning (ICAPS), 2017.
Srikumar Ramalingam, Chris Russell, L’ubor Ladický,
Philip H.S. Torr, Efficient
minimization of higher order submodular
functions using monotonic Boolean functions, Discrete Applied Mathematics
(DAM), 2017.
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, and Rama Chellappa, Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint, The IEEE Transaction of Pattern Analysis and Machine Intelligence (TPAMI), 2014.
Srikumar Ramalingam and Matthew Brand, Lifting 3D Manhattan Lines from a Single Image, International Conference on Computer Vision (ICCV), 2013.
Liu,
M-Y, Tuzel, O., Ramalingam, S., Chellappa,
R., Entropy
Rate Superpixel Segmentation, IEEE Conference on
Computer Vision and Pattern Recognition (CVPR), 2011.
Srikumar
Ramalingam, Pushmeet Kohli, Karteek Alahari, Philip H. S. Torr: Exact inference
in multi-label CRFs with higher order cliques, IEEE Conference on
Computer Vision and Pattern Recognition (CVPR), 2008.
Learning
algorithms (structured SVM, deep learning, etc.)
Xin Yu, Zhiding
Yu, and Srikumar Ramalingam, Learning Strict Identify Mappings in Deep
Residual Networks, CVPR 2018.
Sonali Patil*,
Teng-Yok Lee*, Srikumar Ramalingam, Yuichi Taguchi, and Bedrich
Benes, Barcode: Global Binary Patterns for Fast Visual Inference, 3DV 2017.
Zhiding Yu*, Chen Feng*, Ming-Yu Liu and
Srikumar Ramalingam, CASENet: Deep Category-Aware Semantic Edge Detection, IEEE
Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Sankaran,
B., Ramalingam,
S., Taguchi, Y. Parameter
Learning for Improving Binary Descriptor Matching Conference on Intelligent Robots and Systems (IROS), 2016.
Ming-Yu
Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel, Layered interpretation of street view images, Robotics: Science and Systems Conference (RSS) (Best
paper finalist), 2015, Rome, Italy.
Jian
Yao, Srikumar Ramalingam, Yuichi Taguchi, Yohei Miki,
and Raquel Urtasun, Estimating Drivable Collision-Free Space from Monocular Video,
WACV, 2015.
Nishit Soni, Anoop Namboodiri, C.V.
Jawahar and S. Ramalingam, Semantic classification of Boundaries of an RGBD Image,
British Machine Vision Conference (BMVC), 2015.
Rohit
Naini, Shantanu Rane, and Srikumar Ramalingam, A
vanishing point-based global descriptor for Manhattan scenes, ICASSP,
2014.
Srikumar
Ramalingam and Jaishaker Pillai, Arpit Jain, and
Yuichi Taguchi, Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes,
IEEE Conference on Computer Vision and Pattern Recognition, 2013.
Grégory Rogez, Jonathan Rihan, Srikumar Ramalingam, Carlos Orrite, Philip H. S. Torr: Randomized trees for human pose detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
Andrew
W. Fitzgibbon, Duncan P. Robertson, Antonio Criminisi, Srikumar
Ramalingam, Andrew
Blake: Learning
priors for calibrating families of stereo cameras. International
Conference on Computer Vision (ICCV), 2007.
Image-based
localization and robotics pose estimation
Wenzhen
Yuan and Srikumar Ramalingam, Fast Localization and Tracking using Event Sensors, International
Conference on Robotics and Automation (ICRA), 2016.
Ramalingam, S., Bouaziz, S., Sturm, P., "Pose Estimation using Both Points and Lines for Geo-Localization", International Conference on Robotics and Automation (ICRA), 2011.
Srikumar Ramalingam, Sofien Bouaziz, Peter Sturm, Matthew
Brand, "SKYLINE2GPS:
Localization in Urban Canyons Using Omni-skylines", IROS 2010.
Srikumar Ramalingam, Sofien Bouaziz, Peter Sturm, Matthew Brand, "Geolocalization using Skylines from Omni-Images", IEEE International Conference on Computer Vision Workshops (ICCV), 2009.
Multi-view
geometry and 3D Modeling
Sudeep
Pillai, Srikumar Ramalingam and John J. Leonard, High Performance and Tunable Stereo Reconstruction,
International Conference on Robotics and Automation (ICRA), 2016.
Srikumar
Ramalingam, Michel Antunes, Dan Snow, Gim Hee Lee, Sudeep Pillai, Line-Sweep:
Cross-Ratio For Wide-Baseline Matching and 3D Reconstruction,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Esra Ataer-Cansizoglu,
Yuichi Taguchi, Srikumar Ramalingam, and Yohei Miki, Calibration of Non-Overlapping Cameras Using
an External SLAM System,
3DV 2014.
Esra Ataer-Cansizoglu, Yuichi Taguchi,
Srikumar Ramalingam, and Tyler Garaas, Tracking an RGB-D Camera Using Points and Planes,
CDC4CV, 2013.
Yuichi
Taguchi, Yong-Dian Jian, Srikumar Ramalingam, and Chen Feng, Point-Plane SLAM for Hand-Held 3D Sensors,
International Conference on Robotics and Automation (ICRA), 2013.
Srikumar
Ramalingam and Yuichi Taguchi, A
Theory of Minimal 3D Point to 3D Plane Registration and Its Generalization,
International Journal on Computer Vision
(IJCV), 2012.
Chari,
V., Agrawal, A., Taguchi, Y., Ramalingam, Convex Bricks: A New Primitive for Visual Hull
Modeling and Reconstruction, International Conference on
Robotics and Automation (ICRA), 2012.
Srikumar Ramalingam, Yuichi Taguchi, Tim Marks, Oncel Tuzel, "P2Pi: A Minimal Solution for Registration of 3D Points to 3D Planes", European Conference on Computer Vision (ECCV), 2010.
Srikumar
Ramalingam, Suresh K. Lodha, Peter F.
Sturm: A
generic structure-from-motion framework. Computer Vision and Image
Understanding (CVIU), 2006.
Srikumar
Ramalingam and Suresh K. Lodha, Adaptive Enhancement of 3D Scenes using Hierarchical Registration of
Texture-Mapped 3D Model, 3DIM 2003.
Robotic
Bin-Picking and Pose Estimation methods
Choi, C., Taguchi, Y., Tuzel, O., Liu, M-L, Ramalingam, S., Voting-based Pose Estimation for Robotic Assembly Using a 3D Sensor, International Conference on Robotics and Automation (ICRA), 2011.
Shroff,
N., Taguchi, R., Tuzel, O., Veeraraghavan,
A., Ramalingam, S., Okuda, H., "Finding
a Needle in a Specular Haystack", International Conference on Robotics
and Automation (ICRA), 2011.
Multi-perspective
and computational imaging
Pedro Miraldo,
Francisco Eiras, and Srikumar Ramalingam, Analytical Modeling of Vanishing
Points and Curves in Catadioptric Cameras, CVPR 2018.
Srikumar
Ramalingam and Peter Sturm, A Universal Theory for Camera Calibration, IEEE Transactions on Pattern Analysis and Machine
Intelligence (TPAMI), 2016.
Amit Agrawal and Srikumar Ramalingam, Single Image Calibration of Multi-Axial Imaging Systems, IEEE Conference on Computer Vision and Pattern Recognition, 2013.
Agrawal,
A., Ramalingam, S., Taguchi, Y., Chari, V., A Theory of Multi-Layer Flat Refractive Geometry,
IEEE Conference on Computer Vision and Pattern Recognition, 2012.
Agrawal,
A., Taguchi, Y., Ramalingam, S., "Beyond
Alhazen's Problem: Analytical Projection Model for Non-Central Catadioptric
Cameras with Quadric Mirrors", IEEE Conference on Computer Vision and
Pattern Recognition (CVPR), 2011.
Ramalingam,
S., Bouaziz, S., Sturm, P., Torr, P., The Light-Path Less
Traveled, IEEE Conference on Computer Vision and Pattern Recognition
(CVPR), 2011.
Sturm,
P.: Ramalingam, S., Tardif, J-P, Gasparini, S.,
Barreto, J., "Camera
Models and Fundamental Concepts Used in Geometric Computer Vision",
Foundations and Trends in Computer Graphics and Vision, 2011.
Taguchi,
Y., Agrawal, A., Veeraraghavan, A., Ramalingam, S., Raskar, R., "Axial-Cones:
Modeling Spherical Catadioptric Cameras for Wide-Angle Light Field Rendering", ACM
Transactions on Graphics (TOG), 2010.
Amit
Agrawal, Yuichi Taguchi, Srikumar Ramalingam, "Analytical
Forward Projection for Axial Non-Central Dioptric & Catadioptric Cameras",
European Conference on Computer Vision (ECCV), 2010.
Yuichi
Taguchi, Amit Agrawal, Srikumar Ramalingam, Ashok Veeraraghavan, "Axial Light
Field for Curved Mirrors: Reflect Your Perspective, Widen Your View",
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
Srikumar
Ramalingam, Peter Sturm and Suresh K. Lodha
"Generic Self-Calibration of Central Cameras", Computer
Vision and Image Understanding (CVIU), 2010.
Srikumar
Ramalingam, Peter Sturm, Minimal solutions for generic imaging
models, IEEE Conference on Computer Vision and Pattern Recognition, 2008.
Srikumar
Ramalingam, Peter Sturm, Edmond Boyer, A
Factorization Based Self-Calibration for Radially Symmetric Cameras, 3DPVT
2006.
Srikumar
Ramalingam, Peter Sturm, Suresh K. Lodha, Theory
and Calibration for Axial Cameras, Asian Conference on Computer Vision
(ACCV) 2006.
Srikumar
Ramalingam, Peter Sturm, Suresh K. Lodha,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2005.
Peter
Sturm and Srikumar Ramalingam, A Generic Concept
for Camera Calibration, European Conference on Computer
Vision (ECCV), 2004.