World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7590
World Ranking
10101
National Ranking
4261

Overview

Prem Natarajan is affiliated with Capital One in the United States, with a primary focus on computer science research.

Their research contributions span multiple subfields within computer science, including:

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

Main topics addressed in their work include:

  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Digital Media Forensic Detection
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications

Prem Natarajan has published extensively, with a strong presence in venues such as:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Annals of Oncology
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Recent papers from their research portfolio include:

  • "DEGREE: A Data-Efficient Generation-Based Event Extraction Model," 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • "Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Alexa Teacher Model," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • "SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model," 2022, arXiv (Cornell University)

Frequent collaborators in their work include:

  • Nanyun Peng
  • I-Hung Hsu
  • Kai-Wei Chang
  • Kuan-Hao Huang
  • Wael AbdAlmageed

Best Publications

  • Local Shannon entropy measure with statistical tests for image randomness

    Yue Wu;Yicong Zhou;George Saveriades;Sos Agaian

  • Deep Face Recognition: A Survey

    Iacopo Masi;Yue Wu;Tal Hassner;Prem Natarajan

  • Recurrent Convolutional Strategies for Face Manipulation Detection in Videos.

    Ekraam Sabir;Jiaxin Cheng;Ayush Jaiswal;Wael AbdAlmageed

  • BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization

    Yue Wu;Wael Abd-Almageed;Prem Natarajan

  • Pose-Aware Face Recognition in the Wild

    Iacopo Masi;Stephen Rawls;Gerard Medioni;Prem Natarajan

  • Facial Landmark Detection with Tweaked Convolutional Neural Networks

    Yue Wu;Tal Hassner;KangGeon Kim;Gerard Medioni

  • Face recognition using deep multi-pose representations

    Wael AbdAlmageed;Yue Wu;Stephen Rawls;Shai Harel

  • Multimodal feature fusion for robust event detection in web videos

    Unknown

  • Learn to Combine Modalities in Multimodal Deep Learning

    Kuan Liu;Yanen Li;Ning Xu;Prem Natarajan

  • Building and Using a Knowledge Graph to Combat Human Trafficking

    Pedro Szekely;Craig A. Knoblock;Jason Slepicka;Andrew Philpot

  • Deep Matching and Validation Network: An End-to-End Solution to Constrained Image Splicing Localization and Detection

    Yue Wu;Wael Abd-Almageed;Prem Natarajan

  • Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild

    Iacopo Masi;Feng-Ju Chang;Jongmoo Choi;Shai Harel

  • Image Copy-Move Forgery Detection via an End-to-End Deep Neural Network

    Yue Wu;Wael Abd-Almageed;Prem Natarajan

  • James–Stein Type Center Pixel Weights for Non-Local Means Image Denoising

    Yue Wu;B. Tracey;P. Natarajan;J. P. Noonan

  • Self-Organized Text Detection with Minimal Post-processing via Border Learning

    Yue Wu;Prem Natarajan

  • Probabilistic Non-Local Means

    Yue Wu;B. Tracey;P. Natarajan;J. P. Noonan

  • Gabor features for offline Arabic handwriting recognition

    Jin Chen;Huaigu Cao;Rohit Prasad;Anurag Bhardwaj

  • QATM: Quality-Aware Template Matching for Deep Learning

    Unknown

  • Multilingual machine printed OCR

    Premkumar Natajan;Zhidong Lu;Richard Schwartz;Issam Bazzi

  • Multi-lingual offline handwriting recognition using hidden Markov models: a script-independent approach

    Prem Natarajan;Shirin Saleem;Rohit Prasad;Ehry MacRostie

  • BBN VISER TRECVID 2011 Multimedia Event Detection System

    Pradeep Natarajan;Prem Natarajan;Vasant Manohar;Shuang Wu

  • Face Recognition Using Deep Multi-Pose Representations

    Wael AbdAlmageed;Yue Wua;Stephen Rawlsa;Shai Harel

Frequent Co-Authors

Gerard Medioni
Gerard Medioni Amazon (United States)
Tal Hassner
Tal Hassner Facebook (United States)
Jongmoo Choi
Jongmoo Choi University of Southern California
Nanyun Peng
Nanyun Peng University of California, Los Angeles
Shih-Fu Chang
Shih-Fu Chang Columbia University
Daniel P. Lopresti
Daniel P. Lopresti Lehigh University
Gokhan Tur
Gokhan Tur Amazon (United States)
Venu Govindaraju
Venu Govindaraju University at Buffalo, State University of New York
Craig A. Knoblock
Craig A. Knoblock University of Southern California
Pedro Szekely
Pedro Szekely Amazon (United States)

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