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Computer Science

D-Index
54
Citations
25925
World Ranking
4433
National Ranking
2073

Overview

Tamara L. Berg is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily spans the field of Computer Science with a strong emphasis on Computer Vision and Pattern Recognition.

Their work is distributed across several subfields, including Artificial Intelligence, Biophysics, Human-Computer Interaction, and Signal Processing. Tamara L. Berg's research topics focus on:

  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Video Analysis and Summarization
  • Generative Adversarial Networks and Image Synthesis
  • Image Retrieval and Classification Techniques

Among their recent publications are the following papers:

  • Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling, 2021, arXiv (Cornell University)
  • VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation, 2021, arXiv (Cornell University)
  • CommerceMM, 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries, 2021, arXiv (Cornell University)
  • TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval, 2020, arXiv (Cornell University)

Tamara L. Berg has frequently published in venues such as:

  • arXiv (Cornell University)
  • UNC Libraries
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Lecture notes in computer science

Their collaborative work includes frequent co-authors:

  • Mohit Bansal
  • Licheng Yu
  • Jie Lei
  • Animesh A. Sinha
  • Alexander C. Berg

Best Publications

  • Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments

    Gary B. Huang;Marwan Mattar;Tamara Berg;Eric Learned-Miller

  • BabyTalk: Understanding and Generating Simple Image Descriptions

    Girish Kulkarni;Visruth Premraj;Vicente Ordonez;Sagnik Dhar

  • Shape matching and object recognition using low distortion correspondences

    A.C. Berg;T.L. Berg;J. Malik

  • Im2Text: Describing Images Using 1 Million Captioned Photographs

    Vicente Ordonez;Girish Kulkarni;Tamara L. Berg

  • ReferItGame: Referring to Objects in Photographs of Natural Scenes

    Sahar Kazemzadeh;Vicente Ordonez;Mark Matten;Tamara Berg

  • Modeling Context in Referring Expressions

    Licheng Yu;Patrick Poirson;Shan Yang;Alexander C. Berg

  • MAttNet: Modular Attention Network for Referring Expression Comprehension

    Licheng Yu;Zhe Lin;Xiaohui Shen;Jimei Yang

  • Baby talk: Understanding and generating simple image descriptions

    Girish Kulkarni;Visruth Premraj;Sagnik Dhar;Siming Li

  • Who are you with and where are you going

    Kota Yamaguchi;Alexander C. Berg;Luis E. Ortiz;Tamara L. Berg

  • High level describable attributes for predicting aesthetics and interestingness

    Sagnik Dhar;Vicente Ordonez;Tamara L Berg

  • Two-person interaction detection using body-pose features and multiple instance learning

    Kiwon Yun;Jean Honorio;Debaleena Chattopadhyay;Tamara L. Berg

  • Parsing clothing in fashion photographs

    Kota Yamaguchi;M. Hadi Kiapour;Luis E. Ortiz;Tamara L. Berg

  • Automatic attribute discovery and characterization from noisy web data

    Tamara L. Berg;Alexander C. Berg;Jonathan Shih

  • Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling

    Jie Lei;Linjie Li;Luowei Zhou;Zhe Gan

  • TVQA: Localized, Compositional Video Question Answering

    Jie Lei;Licheng Yu;Mohit Bansal;Tamara L. Berg

  • Names and faces in the news

    T.L. Berg;A.C. Berg;J. Edwards;M. Maire

  • Where to Buy It: Matching Street Clothing Photos in Online Shops

    M. Hadi Kiapour;Xufeng Han;Svetlana Lazebnik;Alexander C. Berg

  • Midge: Generating Image Descriptions From Computer Vision Detections

    Margaret Mitchell;Jesse Dodge;Amit Goyal;Kota Yamaguchi

  • Composing Simple Image Descriptions using Web-scale N-grams

    Siming Li;Girish Kulkarni;Tamara L. Berg;Alexander C. Berg

  • Collective Generation of Natural Image Descriptions

    Polina Kuznetsova;Vicente Ordonez;Alexander Berg;Tamara Berg

Frequent Co-Authors

Alexander C. Berg
Alexander C. Berg University of North Carolina at Chapel Hill
Mohit Bansal
Mohit Bansal University of North Carolina at Chapel Hill
Yejin Choi
Yejin Choi Stanford University
David Forsyth
David Forsyth University of Illinois at Urbana-Champaign
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
Hal Daumé
Hal Daumé University of Maryland, College Park
Dimitris Samaras
Dimitris Samaras Stony Brook University
Margaret Mitchell
Margaret Mitchell Hugging Face
Zhaowen Wang
Zhaowen Wang Adobe Systems (United States)
Gregory J. Zelinsky
Gregory J. Zelinsky Stony Brook University

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