Srikumar Ramalingam

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 74

Top Venues

Grenoble Institute of Technology, France (PHD)

Education History

Grenoble Institute of Technology, France

PHD

Publications

Hanna Mazzawi, Pranjal Awasthi, Xavi Gonzalvo, Srikumar Ramalingam
Simulated Overparameterization. CoRR (2024)
Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar
Rethinking FID: Towards a Better Evaluation Metric for Image Generation. CoRR (2024)
Maximilian Böther, Abraham Sebastian, Pranjal Awasthi, Ana Klimovic, Srikumar Ramalingam
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions. CoRR (2024)
Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization. CoRR (2024)
Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar
SPEGTI: Structured Prediction for Efficient Generative Text-to-Image Models. CoRR (2023)
Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang
Leveraging Importance Weights in Subset Selection. ICLR (2023)
André Mateus, Siddhant Ranade, Srikumar Ramalingam, Pedro Miraldo
Fast and Accurate 3D Registration from Line Intersection Constraints. Int. J. Comput. Vis. 131 (8) (2023)
Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang
Leveraging Importance Weights in Subset Selection. CoRR (2023)
Srikumar Ramalingam, Pranjal Awasthi, Sanjiv Kumar
A Weighted K-Center Algorithm for Data Subset Selection. CoRR (2023)
Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks. CoRR (2022)
Arslan Chaudhry, Aditya Krishna Menon, Andreas Veit, Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar
When does mixup promote local linearity in learned representations? CoRR (2022)
Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision. CVPR (2022)
Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks. ICML (2022)
Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam, Cho-Jui Hsieh, Kishore Papineni, Sanjiv Kumar
Balancing Robustness and Sensitivity using Feature Contrastive Learning. CoRR (2021)
Srikumar Ramalingam, Daniel Glasner, Kaushal Patel, Raviteja Vemulapalli, Sadeep Jayasumana, Sanjiv Kumar
Balancing Constraints and Submodularity in Data Subset Selection. CoRR (2021)
Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam
Scaling Up Exact Neural Network Compression by ReLU Stability. NeurIPS (2021)
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)
Thiago Serra, Abhinav Kumar, Srikumar Ramalingam
Scaling Up Exact Neural Network Compression by ReLU Stability. CoRR (2021)
Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
There and back again: Cycle consistency across sets for isolating factors of variation. CoRR (2021)
Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold. CoRR (2021)
Thiago Serra, Srikumar Ramalingam
Empirical Bounds on Linear Regions of Deep Rectifier Networks. ISAIM (2020)
Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar
Kernelized Classification in Deep Networks. CoRR (2020)
Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam
Mapping of Sparse 3D Data Using Alternating Projection. ACCV (1) (2020)
Thiago Serra, Srikumar Ramalingam
Empirical Bounds on Linear Regions of Deep Rectifier Networks. AAAI (2020)
Thiago Serra, Abhinav Kumar, Srikumar Ramalingam
Lossless Compression of Deep Neural Networks. CoRR (2020)
Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam
Mapping of Sparse 3D Data using Alternating Projection. CoRR (2020)
André Mateus, Srikumar Ramalingam, Pedro Miraldo
Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines. CVPR (2020)
Thiago Serra, Abhinav Kumar, Srikumar Ramalingam
Lossless Compression of Deep Neural Networks. CPAIOR (2020)
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)
Wenwu Yang, Nathan Marshak, Daniel Sýkora, Srikumar Ramalingam, Ladislav Kavan
Building anatomically realistic jaw kinematics model from data. Vis. Comput. 35 (6-8) (2019)
Pedro Miraldo, Surojit Saha, Srikumar Ramalingam
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment. CVPR (2019)
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 (2019)
Abhinav Kumar, Thiago Serra, Srikumar Ramalingam
Equivalent and Approximate Transformations of Deep Neural Networks. CoRR (2019)
Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam
Can generalised relative pose estimation solve sparse 3D registration? CoRR (2019)
Pedro Miraldo, Surojit Saha, Srikumar Ramalingam
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment. CoRR (2019)
Siddhant Ranade, Srikumar Ramalingam
Novel Single View Constraints for Manhattan 3D Line Reconstruction. 3DV (2018)
Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras. CoRR (2018)
Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam
Bounding and Counting Linear Regions of Deep Neural Networks. ICML (2018)
Yiming Qian, Srikumar Ramalingam, James H. Elder
LS3D: Single-View Gestalt 3D Surface Reconstruction from Manhattan Line Segments. ACCV (4) (2018)
Thiago Serra, Srikumar Ramalingam
Empirical Bounds on Linear Regions of Deep Rectifier Networks. CoRR (2018)
Siddhant Ranade, Srikumar Ramalingam
Novel Single View Constraints for Manhattan 3D Line Reconstruction. CoRR (2018)
Pedro Miraldo, Tiago J. Dias, Srikumar Ramalingam
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines. CoRR (2018)
Wenwu Yang, Nathan Marshak, Daniel Sýkora, Srikumar Ramalingam, Ladislav Kavan
Building Anatomically Realistic Jaw Kinematics Model from Data. CoRR (2018)
Xin Yu, Zhiding Yu, Srikumar Ramalingam
Learning Strict Identity Mappings in Deep Residual Networks. CVPR (2018)
Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam
VLASE: Vehicle Localization by Aggregating Semantic Edges. CoRR (2018)
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)
Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam
VLASE: Vehicle Localization by Aggregating Semantic Edges. IROS (2018)
Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras. CVPR (2018)
Xin Yu, Zhiding Yu, Srikumar Ramalingam
Learning Strict Identity Mappings in Deep Residual Networks. CoRR (2018)
Pedro Miraldo, Tiago J. Dias, Srikumar Ramalingam
A Minimal Closed-Form Solution for Multi-perspective Pose Estimation using Points and Lines. ECCV (16) (2018)
Varun Manjunatha, Srikumar Ramalingam, Tim K. Marks, Larry S. Davis
Class Subset Selection for Transfer Learning using Submodularity. CoRR (2018)
Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam
How Could Polyhedral Theory Harness Deep Learning? CoRR (2018)
Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz
Simultaneous Edge Alignment and Learning. CoRR (2018)
Teng-Yok Lee, Sonali Patil, Srikumar Ramalingam, Yuichi Taguchi, Bedrich Benes
Barcode: Global Binary Patterns for Fast Visual Inference. 3DV (2017)
Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski
Submodular Function Maximization for Group Elevator Scheduling. ICAPS (2017)
Srikumar Ramalingam, Peter F. Sturm
A Unifying Model for Camera Calibration. IEEE Trans. Pattern Anal. Mach. Intell. 39 (7) (2017)
Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam
CASENet: Deep Category-Aware Semantic Edge Detection. CoRR (2017)
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 (2017)
Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam
CASENet: Deep Category-Aware Semantic Edge Detection. CVPR (2017)
Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski
Submodular Function Maximization for Group Elevator Scheduling. CoRR (2017)
Khalid Yousif, Yuichi Taguchi, Srikumar Ramalingam, Alireza Bab-Hadiashar
ROS2D: Image feature detector using rank order statistics. ICRA (2017)
Khalid Yousif, Yuichi Taguchi, Srikumar Ramalingam
MonoRGBD-SLAM: Simultaneous localization and mapping using both monocular and RGBD cameras. ICRA (2017)
Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam
Bounding and Counting Linear Regions of Deep Neural Networks. CoRR (2017)
Wenzhen Yuan, Srikumar Ramalingam
Fast localization and tracking using event sensors. ICRA (2016)
Bharath Sankaran, Srikumar Ramalingam, Yuichi Taguchi
Parameter learning for improving binary descriptor matching. IROS (2016)
Sudeep Pillai, Srikumar Ramalingam, John J. Leonard
High-performance and tunable stereo reconstruction. ICRA (2016)
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)
Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel
Layered Interpretation of Street View Images. Robotics: Science and Systems (2015)
Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel
Layered Interpretation of Street View Images. CoRR (2015)
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) (2015)
Jian Yao, Srikumar Ramalingam, Yuichi Taguchi, Yohei Miki, Raquel Urtasun
Estimating Drivable Collision-Free Space from Monocular Video. WACV (2015)
Sudeep Pillai, Srikumar Ramalingam, John J. Leonard
High-Performance and Tunable Stereo Reconstruction. CoRR (2015)
Srikumar Ramalingam, Michel Antunes, Daniel Snow, Gim Hee Lee, Sudeep Pillai
Line-sweep: Cross-ratio for wide-baseline matching and 3D reconstruction. CVPR (2015)
Nishit Soni, Anoop M. Namboodiri, C. V. Jawahar, Srikumar Ramalingam
Semantic Classification of Boundaries of an RGBD Image. BMVC (2015)
Rohit Naini, Shantanu Rane, Srikumar Ramalingam
A vanishing point-based global descriptor for Manhattan scenes. ICASSP (2014)
Esra Ataer Cansizoglu, Yuichi Taguchi, Srikumar Ramalingam, Yohei Miki
Calibration of Non-overlapping Cameras Using an External SLAM System. 3DV (2014)
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) (2014)
Amit K. Agrawal, Srikumar Ramalingam
Single Image Calibration of Multi-axial Imaging Systems. CVPR (2013)
Srikumar Ramalingam, Yuichi Taguchi
A Theory of Minimal 3D Point to 3D Plane Registration and Its Generalization. Int. J. Comput. Vis. 102 (1-3) (2013)
Yuichi Taguchi, Yong-Dian Jian, Srikumar Ramalingam, Chen Feng
Point-plane SLAM for hand-held 3D sensors. ICRA (2013)
Esra Ataer Cansizoglu, Yuichi Taguchi, Srikumar Ramalingam, Tyler W. Garaas
Tracking an RGB-D Camera Using Points and Planes. ICCV Workshops (2013)
Srikumar Ramalingam, Matthew Brand
Lifting 3D Manhattan Lines from a Single Image. ICCV (2013)
Srikumar Ramalingam, Jaishanker K. Pillai, Arpit Jain, Yuichi Taguchi
Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes. CVPR (2013)
Menglong Zhu, Srikumar Ramalingam, Yuichi Taguchi, Tyler W. Garaas
Monocular Visual Odometry and Dense 3D Reconstruction for On-Road Vehicles. ECCV Workshops (2) (2012)
Visesh Chari, Amit K. Agrawal, Yuichi Taguchi, Srikumar Ramalingam
Convex bricks: A new primitive for visual hull modeling and reconstruction. ICRA (2012)
Amit K. Agrawal, Srikumar Ramalingam, Yuichi Taguchi, Visesh Chari
A theory of multi-layer flat refractive geometry. CVPR (2012)
Changhyun Choi, Yuichi Taguchi, Oncel Tuzel, Ming-Yu Liu, Srikumar Ramalingam
Voting-based pose estimation for robotic assembly using a 3D sensor. ICRA (2012)
Yuichi Taguchi, Yong-Dian Jian, Srikumar Ramalingam, Chen Feng
SLAM using both points and planes for hand-held 3D sensors. ISMAR (2012)
Srikumar Ramalingam, Sofien Bouaziz, Peter F. Sturm
Pose estimation using both points and lines for geo-localization. ICRA (2011)
Amit K. Agrawal, Yuichi Taguchi, Srikumar Ramalingam
Beyond Alhazen's problem: Analytical projection model for non-central catadioptric cameras with quadric mirrors. CVPR (2011)
Nitesh Shroff, Yuichi Taguchi, Oncel Tuzel, Ashok Veeraraghavan, Srikumar Ramalingam, Haruhisa Okuda
Finding a needle in a specular haystack. ICRA (2011)
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa
Entropy rate superpixel segmentation. CVPR (2011)
Srikumar Ramalingam, Sofien Bouaziz, Peter F. Sturm, Philip H. S. Torr
The light-path less traveled. CVPR (2011)
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) (2011)
Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H. S. Torr
Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions CoRR (2011)
Srikumar Ramalingam, Yuichi Taguchi, Tim K. Marks, Oncel Tuzel
2Pi: A Minimal Solution for Registration of 3D Points to 3D Planes. ECCV (5) (2010)
Amit K. Agrawal, Yuichi Taguchi, Srikumar Ramalingam
Analytical Forward Projection for Axial Non-central Dioptric and Catadioptric Cameras. ECCV (3) (2010)
Srikumar Ramalingam, Sofien Bouaziz, Peter F. Sturm, Matthew Brand
SKYLINE2GPS: Localization in urban canyons using omni-skylines. IROS (2010)
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) (2010)
Yuichi Taguchi, Amit K. Agrawal, Srikumar Ramalingam, Ashok Veeraraghavan
Axial light field for curved mirrors: Reflect your perspective, widen your view. CVPR (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Srikumar Ramalingam