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2020 – today
- 2024
[c66]Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar:
Rethinking FID: Towards a Better Evaluation Metric for Image Generation. CVPR 2024: 9307-9315- [c65]Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar:
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation. CVPR 2024: 9316-9325 - [i37]Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar:
Rethinking FID: Towards a Better Evaluation Metric for Image Generation. CoRR abs/2401.09603 (2024) - [i36]Hanna Mazzawi, Pranjal Awasthi, Xavi Gonzalvo, Srikumar Ramalingam:
Simulated Overparameterization. CoRR abs/2402.05033 (2024) - [i35]Maximilian Böther, Abraham Sebastian, Pranjal Awasthi, Ana Klimovic, Srikumar Ramalingam:
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions. CoRR abs/2402.16442 (2024) - [i34]Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo:
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization. CoRR abs/2405.18754 (2024) - 2023
- [j11]André Mateus
, Siddhant Ranade, Srikumar Ramalingam, Pedro Miraldo:
Fast and Accurate 3D Registration from Line Intersection Constraints. Int. J. Comput. Vis. 131(8): 2044-2069 (2023) - [c64]Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang:
Leveraging Importance Weights in Subset Selection. ICLR 2023 - [i33]Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang:
Leveraging Importance Weights in Subset Selection. CoRR abs/2301.12052 (2023) - [i32]Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar:
SPEGTI: Structured Prediction for Efficient Generative Text-to-Image Models. CoRR abs/2308.10997 (2023) - [i31]Srikumar Ramalingam, Pranjal Awasthi, Sanjiv Kumar:
A Weighted K-Center Algorithm for Data Subset Selection. CoRR abs/2312.10602 (2023) - 2022
- [c63]Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia:
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision. CVPR 2022: 15989-15999 - [c62]Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe:
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks. ICML 2022: 25668-25683 - [i30]Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe:
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks. CoRR abs/2203.04466 (2022) - [i29]Arslan Chaudhry, Aditya Krishna Menon, Andreas Veit, Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar:
When does mixup promote local linearity in learned representations? CoRR abs/2210.16413 (2022) - 2021
- [c61]Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia:
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold. ICML 2021: 7882-7893 - [c60]Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam:
Scaling Up Exact Neural Network Compression by ReLU Stability. NeurIPS 2021: 27081-27093 - [i28]Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam:
Scaling Up Exact Neural Network Compression by ReLU Stability. CoRR abs/2102.07804 (2021) - [i27]Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia:
There and back again: Cycle consistency across sets for isolating factors of variation. CoRR abs/2103.03240 (2021) - [i26]Srikumar Ramalingam, Daniel Glasner, Kaushal Patel, Raviteja Vemulapalli, Sadeep Jayasumana, Sanjiv Kumar:
Balancing Constraints and Submodularity in Data Subset Selection. CoRR abs/2104.12835 (2021) - [i25]Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam, Cho-Jui Hsieh, Kishore Papineni, Sanjiv Kumar:
Balancing Robustness and Sensitivity using Feature Contrastive Learning. CoRR abs/2105.09394 (2021) - [i24]Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia:
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold. CoRR abs/2106.05965 (2021) - 2020
- [c59]Thiago Serra, Srikumar Ramalingam:
Empirical Bounds on Linear Regions of Deep Rectifier Networks. AAAI 2020: 5628-5635 - [c58]Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam:
Mapping of Sparse 3D Data Using Alternating Projection. ACCV (1) 2020: 295-313 - [c57]Thiago Serra, Abhinav Kumar, Srikumar Ramalingam:
Lossless Compression of Deep Neural Networks. CPAIOR 2020: 417-430 - [c56]G. Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa, Pedro Miraldo:
3DRegNet: A Deep Neural Network for 3D Point Registration. CVPR 2020: 7191-7201 - [c55]André Mateus, Srikumar Ramalingam, Pedro Miraldo:
Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines. CVPR 2020: 7232-7242 - [c54]Thiago Serra, Srikumar Ramalingam:
Empirical Bounds on Linear Regions of Deep Rectifier Networks. ISAIM 2020 - [i23]Thiago Serra, Abhinav Kumar, Srikumar Ramalingam:
Lossless Compression of Deep Neural Networks. CoRR abs/2001.00218 (2020) - [i22]Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam:
Mapping of Sparse 3D Data using Alternating Projection. CoRR abs/2010.02516 (2020) - [i21]Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar:
Kernelized Classification in Deep Networks. CoRR abs/2012.09607 (2020)
2010 – 2019
- 2019
- [j10]Wenwu Yang, Nathan Marshak, Daniel Sýkora, Srikumar Ramalingam, Ladislav Kavan:
Building anatomically realistic jaw kinematics model from data. Vis. Comput. 35(6-8): 1105-1118 (2019) - [c53]Pedro Miraldo, Surojit Saha, Srikumar Ramalingam:
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment. CVPR 2019: 9699-9708 - [i20]G. Dias Pais, Pedro Miraldo, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa:
3DRegNet: A Deep Neural Network for 3D Point Registration. CoRR abs/1904.01701 (2019) - [i19]Pedro Miraldo, Surojit Saha, Srikumar Ramalingam:
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment. CoRR abs/1904.03941 (2019) - [i18]Abhinav Kumar, Thiago Serra, Srikumar Ramalingam:
Equivalent and Approximate Transformations of Deep Neural Networks. CoRR abs/1905.11428 (2019) - [i17]Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam:
Can generalised relative pose estimation solve sparse 3D registration? CoRR abs/1906.05888 (2019) - 2018
- [c52]Siddhant Ranade, Srikumar Ramalingam:
Novel Single View Constraints for Manhattan 3D Line Reconstruction. 3DV 2018: 625-633 - [c51]Yiming Qian, Srikumar Ramalingam, James H. Elder:
LS3D: Single-View Gestalt 3D Surface Reconstruction from Manhattan Line Segments. ACCV (4) 2018: 399-416 - [c50]Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam:
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras. CVPR 2018: 2012-2021 - [c49]Xin Yu, Zhiding Yu, Srikumar Ramalingam:
Learning Strict Identity Mappings in Deep Residual Networks. CVPR 2018: 4432-4440 - [c48]Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz:
Simultaneous Edge Alignment and Learning. ECCV (3) 2018: 400-417 - [c47]Pedro Miraldo, Tiago J. Dias, Srikumar Ramalingam:
A Minimal Closed-Form Solution for Multi-perspective Pose Estimation using Points and Lines. ECCV (16) 2018: 490-507 - [c46]Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam:
Bounding and Counting Linear Regions of Deep Neural Networks. ICML 2018: 4565-4573 - [c45]Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam:
VLASE: Vehicle Localization by Aggregating Semantic Edges. IROS 2018: 3196-3203 - [e1]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Matt Turek, Srikumar Ramalingam, Kai Xu, Stephen Lin, Bilal Alsallakh, Jing Yang, Eduardo Cuervo, Jonathan Ventura:
Advances in Visual Computing - 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19-21, 2018, Proceedings. Lecture Notes in Computer Science 11241, Springer 2018, ISBN 978-3-030-03800-7 [contents] - [d1]Wenwu Yang, Nathan Marshak, Daniel Sýkora, Srikumar Ramalingam, Ladislav Kavan:
Jaw Motion and Jaw Kinematics Model. IEEE DataPort, 2018
- [i16]Varun Manjunatha, Srikumar Ramalingam, Tim K. Marks, Larry S. Davis:
Class Subset Selection for Transfer Learning using Submodularity. CoRR abs/1804.00060 (2018) - [i15]Xin Yu, Zhiding Yu, Srikumar Ramalingam:
Learning Strict Identity Mappings in Deep Residual Networks. CoRR abs/1804.01661 (2018) - [i14]Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam:
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras. CoRR abs/1804.09460 (2018) - [i13]Wenwu Yang, Nathan Marshak, Daniel Sýkora, Srikumar Ramalingam, Ladislav Kavan:
Building Anatomically Realistic Jaw Kinematics Model from Data. CoRR abs/1805.05903 (2018) - [i12]Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam:
How Could Polyhedral Theory Harness Deep Learning? CoRR abs/1806.06365 (2018) - [i11]Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam:
VLASE: Vehicle Localization by Aggregating Semantic Edges. CoRR abs/1807.02536 (2018) - [i10]Pedro Miraldo, Tiago J. Dias, Srikumar Ramalingam:
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines. CoRR abs/1807.09970 (2018) - [i9]Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz:
Simultaneous Edge Alignment and Learning. CoRR abs/1808.01992 (2018) - [i8]Thiago Serra, Srikumar Ramalingam:
Empirical Bounds on Linear Regions of Deep Rectifier Networks. CoRR abs/1810.03370 (2018) - [i7]Siddhant Ranade, Srikumar Ramalingam:
Novel Single View Constraints for Manhattan 3D Line Reconstruction. CoRR abs/1810.03737 (2018) - 2017
- [j9]Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H. S. Torr:
Efficient minimization of higher order submodular functions using monotonic Boolean functions. Discret. Appl. Math. 220: 1-19 (2017) - [j8]Srikumar Ramalingam, Peter F. Sturm:
A Unifying Model for Camera Calibration. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1309-1319 (2017) - [c44]Teng-Yok Lee, Sonali Patil, Srikumar Ramalingam, Yuichi Taguchi, Bedrich Benes:
Barcode: Global Binary Patterns for Fast Visual Inference. 3DV 2017: 630-639 - [c43]Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski:
Submodular Function Maximization for Group Elevator Scheduling. ICAPS 2017: 233-241 - [c42]Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam:
CASENet: Deep Category-Aware Semantic Edge Detection. CVPR 2017: 1761-1770 - [c41]Khalid Yousif, Yuichi Taguchi, Srikumar Ramalingam:
MonoRGBD-SLAM: Simultaneous localization and mapping using both monocular and RGBD cameras. ICRA 2017: 4495-4502 - [c40]Khalid Yousif, Yuichi Taguchi, Srikumar Ramalingam, Alireza Bab-Hadiashar:
ROS2D: Image feature detector using rank order statistics. ICRA 2017: 4515-4522 - [i6]Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam:
CASENet: Deep Category-Aware Semantic Edge Detection. CoRR abs/1705.09759 (2017) - [i5]Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski:
Submodular Function Maximization for Group Elevator Scheduling. CoRR abs/1707.00617 (2017) - [i4]Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam:
Bounding and Counting Linear Regions of Deep Neural Networks. CoRR abs/1711.02114 (2017) - 2016
- [c39]Esra Ataer Cansizoglu, Yuichi Taguchi, Srikumar Ramalingam:
Pinpoint SLAM: A hybrid of 2D and 3D simultaneous localization and mapping for RGB-D sensors. ICRA 2016: 1300-1307 - [c38]Sudeep Pillai, Srikumar Ramalingam, John J. Leonard:
High-performance and tunable stereo reconstruction. ICRA 2016: 3188-3195 - [c37]Wenzhen Yuan, Srikumar Ramalingam:
Fast localization and tracking using event sensors. ICRA 2016: 4564-4571 - [c36]Bharath Sankaran, Srikumar Ramalingam, Yuichi Taguchi:
Parameter learning for improving binary descriptor matching. IROS 2016: 4892-4897 - 2015
- [j7]Karteek Alahari, Dhruv Batra, Srikumar Ramalingam, Nikos Paragios, Richard S. Zemel:
Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 37(7): 1321-1322 (2015) - [c35]Nishit Soni, Anoop M. Namboodiri, C. V. Jawahar, Srikumar Ramalingam:
Semantic Classification of Boundaries of an RGBD Image. BMVC 2015: 114.1-114.12 - [c34]Srikumar Ramalingam, Michel Antunes, Daniel Snow, Gim Hee Lee, Sudeep Pillai:
Line-sweep: Cross-ratio for wide-baseline matching and 3D reconstruction. CVPR 2015: 1238-1246 - [c33]Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel:
Layered Interpretation of Street View Images. Robotics: Science and Systems 2015 - [c32]Jian Yao, Srikumar Ramalingam, Yuichi Taguchi, Yohei Miki, Raquel Urtasun:
Estimating Drivable Collision-Free Space from Monocular Video. WACV 2015: 420-427 - [i3]Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel:
Layered Interpretation of Street View Images. CoRR abs/1506.04723 (2015) - [i2]Sudeep Pillai, Srikumar Ramalingam, John J. Leonard:
High-Performance and Tunable Stereo Reconstruction. CoRR abs/1511.00758 (2015) - 2014
- [j6]Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa:
Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 99-112 (2014) - [c31]Esra Ataer Cansizoglu, Yuichi Taguchi, Srikumar Ramalingam, Yohei Miki:
Calibration of Non-overlapping Cameras Using an External SLAM System. 3DV 2014: 509-516 - [c30]Rohit Naini, Shantanu Rane, Srikumar Ramalingam:
A vanishing point-based global descriptor for Manhattan scenes. ICASSP 2014: 4349-4353 - [r3]Srikumar Ramalingam:
Catadioptric Camera. Computer Vision, A Reference Guide 2014: 85-89 - [r2]Srikumar Ramalingam:
Center of Projection. Computer Vision, A Reference Guide 2014: 89-94 - [r1]Srikumar Ramalingam:
Field of View. Computer Vision, A Reference Guide 2014: 294-297 - 2013
- [j5]Srikumar Ramalingam, Yuichi Taguchi:
A Theory of Minimal 3D Point to 3D Plane Registration and Its Generalization. Int. J. Comput. Vis. 102(1-3): 73-90 (2013) - [c29]Amit K. Agrawal, Srikumar Ramalingam:
Single Image Calibration of Multi-axial Imaging Systems. CVPR 2013: 1399-1406 - [c28]Srikumar Ramalingam, Jaishanker K. Pillai, Arpit Jain, Yuichi Taguchi:
Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes. CVPR 2013: 3065-3072 - [c27]Srikumar Ramalingam, Matthew Brand:
Lifting 3D Manhattan Lines from a Single Image. ICCV 2013: 497-504 - [c26]Esra Ataer Cansizoglu, Yuichi Taguchi, Srikumar Ramalingam, Tyler W. Garaas:
Tracking an RGB-D Camera Using Points and Planes. ICCV Workshops 2013: 51-58 - [c25]Yuichi Taguchi, Yong-Dian Jian, Srikumar Ramalingam, Chen Feng:
Point-plane SLAM for hand-held 3D sensors. ICRA 2013: 5182-5189 - 2012
- [c24]Amit K. Agrawal, Srikumar Ramalingam, Yuichi Taguchi, Visesh Chari:
A theory of multi-layer flat refractive geometry. CVPR 2012: 3346-3353 - [c23]Menglong Zhu, Srikumar Ramalingam, Yuichi Taguchi, Tyler W. Garaas:
Monocular Visual Odometry and Dense 3D Reconstruction for On-Road Vehicles. ECCV Workshops (2) 2012: 596-606 - [c22]Visesh Chari, Amit K. Agrawal, Yuichi Taguchi, Srikumar Ramalingam:
Convex bricks: A new primitive for visual hull modeling and reconstruction. ICRA 2012: 770-777 - [c21]Changhyun Choi, Yuichi Taguchi, Oncel Tuzel, Ming-Yu Liu, Srikumar Ramalingam:
Voting-based pose estimation for robotic assembly using a 3D sensor. ICRA 2012: 1724-1731 - [c20]Yuichi Taguchi, Yong-Dian Jian, Srikumar Ramalingam, Chen Feng:
SLAM using both points and planes for hand-held 3D sensors. ISMAR 2012: 321-322 - 2011
- [j4]Peter F. Sturm, Srikumar Ramalingam, Jean-Philippe Tardif, Simone Gasparini, João Pedro Barreto:
Camera Models and Fundamental Concepts Used in Geometric Computer Vision. Found. Trends Comput. Graph. Vis. 6(1-2): 1-183 (2011) - [c19]Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa:
Entropy rate superpixel segmentation. CVPR 2011: 2097-2104 - [c18]Amit K. Agrawal, Yuichi Taguchi, Srikumar Ramalingam:
Beyond Alhazen's problem: Analytical projection model for non-central catadioptric cameras with quadric mirrors. CVPR 2011: 2993-3000 - [c17]Srikumar Ramalingam, Sofien Bouaziz, Peter F. Sturm, Philip H. S. Torr:
The light-path less traveled. CVPR 2011: 3145-3152 - [c16]Srikumar Ramalingam, Sofien Bouaziz, Peter F. Sturm:
Pose estimation using both points and lines for geo-localization. ICRA 2011: 4716-4723 - [c15]Nitesh Shroff, Yuichi Taguchi, Oncel Tuzel, Ashok Veeraraghavan, Srikumar Ramalingam, Haruhisa Okuda:
Finding a needle in a specular haystack. ICRA 2011: 5963-5970 - [i1]Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H. S. Torr:
Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions. CoRR abs/1109.2304 (2011) - 2010
- [j3]Srikumar Ramalingam, Peter F. Sturm, Suresh K. Lodha:
Generic self-calibration of central cameras. Comput. Vis. Image Underst. 114(2): 210-219 (2010) - [j2]Yuichi Taguchi, Amit K. Agrawal, Ashok Veeraraghavan, Srikumar Ramalingam, Ramesh Raskar:
Axial-cones: modeling spherical catadioptric cameras for wide-angle light field rendering. ACM Trans. Graph. 29(6): 172 (2010) - [c14]Yuichi Taguchi, Amit K. Agrawal, Srikumar Ramalingam, Ashok Veeraraghavan:
Axial light field for curved mirrors: Reflect your perspective, widen your view. CVPR 2010: 499-506 - [c13]Amit K. Agrawal, Yuichi Taguchi, Srikumar Ramalingam:
Analytical Forward Projection for Axial Non-central Dioptric and Catadioptric Cameras. ECCV (3) 2010: 129-143 - [c12]Srikumar Ramalingam, Yuichi Taguchi, Tim K. Marks, Oncel Tuzel:
P2Pi: A Minimal Solution for Registration of 3D Points to 3D Planes. ECCV (5) 2010: 436-449 - [c11]Srikumar Ramalingam, Sofien Bouaziz, Peter F. Sturm, Matthew Brand:
SKYLINE2GPS: Localization in urban canyons using omni-skylines. IROS 2010: 3816-3823
2000 – 2009
- 2009
- [c10]Srikumar Ramalingam, Sofien Bouaziz, Peter Sturm, Matthew Brand:
Geolocalization using skylines from omni-images. ICCV Workshops 2009: 23-30 - 2008
- [c9]Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari, Philip H. S. Torr:
Exact inference in multi-label CRFs with higher order cliques. CVPR 2008 - [c8]Srikumar Ramalingam, Peter F. Sturm:
Minimal solutions for generic imaging models. CVPR 2008 - [c7]Grégory Rogez, Jonathan Rihan, Srikumar Ramalingam, Carlos Orrite, Philip H. S. Torr:
Randomized trees for human pose detection. CVPR 2008 - 2007
- [c6]Andrew W. Fitzgibbon, Duncan P. Robertson, Antonio Criminisi, Srikumar Ramalingam, Andrew Blake:
Learning priors for calibrating families of stereo cameras. ICCV 2007: 1-8 - 2006
- [b1]Srikumar Ramalingam:
Generic Imaging Models: Calibration and 3D Reconstruction Algorithms. (Modèles de formation d'image génériques : calibrage et algorithmes de reconstruction 3D). Grenoble Institute of Technology, France, 2006 - [j1]Srikumar Ramalingam, Suresh K. Lodha, Peter F. Sturm:
A generic structure-from-motion framework. Comput. Vis. Image Underst. 103(3): 218-228 (2006) - [c5]Srikumar Ramalingam, Peter F. Sturm, Edmond Boyer:
A Factorization Based Self-Calibration for Radially Symmetric Cameras. 3DPVT 2006: 480-487 - [c4]Srikumar Ramalingam, Peter F. Sturm, Suresh K. Lodha:
Theory and Calibration for Axial Cameras. ACCV (1) 2006: 704-713 - 2005
- [c3]Srikumar Ramalingam, Peter F. Sturm, Suresh K. Lodha:
Towards Complete Generic Camera Calibration. CVPR (1) 2005: 1093-1098 - 2004
- [c2]Peter F. Sturm, Srikumar Ramalingam:
A Generic Concept for Camera Calibration. ECCV (2) 2004: 1-13 - 2003
- [c1]Srikumar Ramalingam, Suresh K. Lodha:
Adaptive Enhancement of 3D Scenes using Hierarchical Registration of Texture-Mapped 3D models. 3DIM 2003: 203-210
Coauthor Index
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