World's Best Scientists 2026 revealed!
Andrew Lippman

Andrew Lippman

D-Index & Metrics

Computer Science

D-Index
38
Citations
11415
World Ranking
9977
National Ranking
4201

Overview

Andrew Lippman is affiliated with MIT in the United States, with a research focus centered around computer science and its interdisciplinary applications. The scientist has contributed to fields including computer vision and pattern recognition, sociology and political science, signal processing, literature and literary theory, and philosophy.

Lippman's work often engages with themes such as misinformation and its impacts, media influence and health, rhetoric and communication studies, interactive and immersive displays, augmented reality applications, tactile and sensory interactions, and face recognition and analysis.

Frequent co-authors include Aruna Sankaranarayanan, Matthew Groh, Nikhil Singh, Dong Young Kim, and Rosalind W. Picard, indicating collaborative research efforts across various projects.

Publication venues primarily include arXiv (Cornell University), where four papers have appeared, alongside Nature Communications.

Recent papers encompass:

  • Human detection of political speech deepfakes across transcripts, audio, and video, 2024, Nature Communications
  • Trash to Treasure: Using text-to-image models to inform the design of physical artefacts, 2023, arXiv (Cornell University)
  • Invertible Frowns: Video-to-Video Facial Emotion Translation, 2021, arXiv (Cornell University)
  • Secure & Personalized Music-to-Video Generation via CHARCHA, 2025, arXiv (Cornell University)
  • Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills, 2025, arXiv (Cornell University)

Best Publications

  • A simple Cooperative diversity method based on network path selection

    A. Bletsas;A. Khisti;D.P. Reed;A. Lippman

  • MedRec: Using Blockchain for Medical Data Access and Permission Management

    Asaph Azaria;Ariel Ekblaw;Thiago Vieira;Andrew Lippman

  • Movie-maps: An application of the optical videodisc to computer graphics

    Andrew Lippman

  • A receiver-compatible enhanced definition television system

    William F. Schreiber;Andrew B. Lippman;Edward H. Adelson;Aran N. Netravali

  • Statistical models of video structure for content analysis and characterization

    N. Vasconcelos;A. Lippman

  • Video image compositing techniques

    Andrew B. Lippman;Walter R. Bender;Patrick G. McLean

  • Learning from User Feedback in Image Retrieval Systems

    Nuno Vasconcelos;Andrew Lippman

  • A Compatible High-Definition Television System Using the Noise-Margin Method of Hiding Enhancement Information

    W. F. Schreiber;E. H. Adelson;A. B. Lippman;Gong Rongshu

  • Multiscale coding of images

    Andrew B. Lippman;William J. Butera

  • A probabilistic architecture for content-based image retrieval

    N. Vasconcelos;A. Lippman

  • Spatio-temporal segmentation based on motion and static segmentation

    F. Dufaux;F. Moscheni;A. Lippman

  • Energy-efficient cooperative routing in multi-hop wireless ad hoc networks

    F. Li;K. Wu;A. Lippman

  • Towards semantically meaningful feature spaces for the characterization of video content

    N. Vasconcelos;A. Lippman

  • Bayesian modeling of video editing and structure: semantic features for video summarization and browsing

    N. Vasconcelos;A. Lippman

  • Models for automatic classification of video sequences

    Giridharan Iyengar;Andrew B. Lippman

  • Learning Mixture Hierarchies

    Nuno Vasconcelos;Andrew Lippman

  • Cooperative diversity with opportunistic relaying

    A. Bletsas;Hyundong Shin;M.Z. Win;A. Lippman

  • VRCodes: Unobtrusive and active visual codes for interaction by exploiting rolling shutter

    Grace Woo;Andy Lippman;Ramesh Raskar

  • Method and apparatus for controlling access to a computer network using tangible media

    Michael Hawley;Henry Holtzman;Andrew Lippman;Manish Tuteja

  • Separation of multiple passive RFID signals using Software Defined Radio

    Dawei Shen;Grace Woo;David P. Reed;Andrew B. Lippman

  • A spatiotemporal motion model for video summarization

    N. Vasconcelos;A. Lippman

Frequent Co-Authors

Nuno Vasconcelos
Nuno Vasconcelos University of California, San Diego
Aggelos Bletsas
Aggelos Bletsas Rutgers, The State University of New Jersey
Kui Wu
Kui Wu University of Victoria
Marshall Van Alstyne
Marshall Van Alstyne Boston University
Ashish Khisti
Ashish Khisti University of Toronto
Erik Stephen Ross
Erik Stephen Ross Bank of America
Jianwei Huang
Jianwei Huang Chinese University of Hong Kong, Shenzhen

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