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Srikumar Ramalingam

Srikumar Ramalingam

Overview

Srikumar Ramalingam is a researcher affiliated with Google in the United States, specializing in computer science with a primary focus on artificial intelligence and related subfields. They have contributed to a range of topics including machine learning, data classification, domain adaptation, few-shot learning, face and expression recognition, as well as algorithms and adversarial robustness in machine learning.

Their research spans multiple areas within computer science, concentrating on:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Information Systems and Management

The main topics addressed in their work include:

  • Machine Learning and Data Classification
  • Domain Adaptation and Few-Shot Learning
  • Face and Expression Recognition
  • Machine Learning and Algorithms
  • Algorithms and Data Compression
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications

Their publication record features several papers primarily appearing in venues such as arXiv (Cornell University) and Zenodo (CERN European Organization for Nuclear Research). Notable recent publications are:

  • Less is more: Selecting informative and diverse subsets with balancing constraints, 2021, arXiv (Cornell University)
  • Kernelized Classification in Deep Networks, 2020, arXiv (Cornell University)
  • Balancing Robustness and Sensitivity using Feature Contrastive Learning, 2021, arXiv (Cornell University)
  • On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions, 2024, arXiv (Cornell University)
  • CASENet: Deep Category-Aware Semantic Edge Detection, 2023, Zenodo (CERN European Organization for Nuclear Research)

Frequent collaboration is evident with several coauthors including Sanjiv Kumar, Daniel Gläsner, Sadeep Jayasumana, Kaushal Patel, and Raviteja Vemulapalli. Their joint work has contributed to advancing understanding in their respective fields.

Best Publications

  • Entropy rate superpixel segmentation

    Ming-Yu Liu;Oncel Tuzel;Srikumar Ramalingam;Rama Chellappa

  • CASENet: Deep Category-Aware Semantic Edge Detection

    Zhiding Yu;Chen Feng;Ming-Yu Liu;Srikumar Ramalingam

  • Point-plane SLAM for hand-held 3D sensors

    Yuichi Taguchi;Yong-Dian Jian;Srikumar Ramalingam;Chen Feng

  • Camera Models And Fundamental Concepts Used In Geometric Computer Vision

    Peter Sturm;Srikumar Ramalingam;Jean-Philippe Tardif;Simone Gasparini

  • A Generic Concept for Camera Calibration

    Peter F. Sturm;Srikumar Ramalingam

  • 3DRegNet: A Deep Neural Network for 3D Point Registration

    G. Dias Pais;Srikumar Ramalingam;Venu Madhav Govindu;Jacinto C. Nascimento

  • A theory of multi-layer flat refractive geometry

    Amit Agrawal;Srikumar Ramalingam;Yuichi Taguchi;Visesh Chari

  • Randomized trees for human pose detection

    G. Rogez;J. Rihan;S. Ramalingam;C. Orrite

  • Voting-based pose estimation for robotic assembly using a 3D sensor

    Changhyun Choi;Yuichi Taguchi;Oncel Tuzel;Ming-Yu Liu

  • Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint

    Ming-Yu Liu;Oncel Tuzel;Srikumar Ramalingam;Rama Chellappa

  • Digital Refocusing for Wide-Angle Images Using Axial-Cone Cameras

    Yuichi Taguchi;Amit K. Agrawal;Ashok N. Veeraraghavan;Srikumar Ramalingam

  • Exact inference in multi-label CRFs with higher order cliques

    S. Ramalingam;P. Kohli;K. Alahari;P. Torr

  • Bounding and Counting Linear Regions of Deep Neural Networks

    Thiago Serra;Christian Tjandraatmadja;Srikumar Ramalingam

  • Towards complete generic camera calibration

    Srikumar Ramalingam;P. Sturm;S.K. Lodha

  • SKYLINE2GPS: Localization in urban canyons using omni-skylines

    Srikumar Ramalingam;Sofien Bouaziz;Peter Sturm;Matthew Brand

  • Method for Calibrating Cameras with Non-Overlapping Views

    Yuichi Taguchi;Esra Cansizoglu;Srikumar Ramalingam;Yohei Miki

  • A generic structure-from-motion framework

    Srikumar Ramalingam;Suresh K. Lodha;Peter Sturm

  • Simultaneous Edge Alignment and Learning

    Zhiding Yu;Weiyang Liu;Yang Zou;Chen Feng

  • Pose estimation using both points and lines for geo-localization

    Srikumar Ramalingam;Sofien Bouaziz;Peter Sturm

  • Analytical forward projection for axial non-central dioptric and catadioptric cameras

    Amit Agrawal;Yuichi Taguchi;Srikumar Ramalingam

Frequent Co-Authors

Yuichi Taguchi
Yuichi Taguchi Mitsubishi Electric (United States)
Ming-Yu Liu
Ming-Yu Liu Nvidia (United States)
Oncel Tuzel
Oncel Tuzel Apple (United States)
Ashok Veeraraghavan
Ashok Veeraraghavan Rice University
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Rama Chellappa
Rama Chellappa Johns Hopkins University
Gim Hee Lee
Gim Hee Lee National University of Singapore
Sanjiv Kumar
Sanjiv Kumar Google (United States)
Chris Russell
Chris Russell University of Oxford

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