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Computer Science

D-Index
59
Citations
117756
World Ranking
3309
National Ranking
1602

Overview

Alexander C. 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 specific focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, and Computer Graphics and Computer-Aided Design.

Their recent scholarly output includes several publications listed as follows:

  • Segment Anything, 2023, arXiv (Cornell University)
  • Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • ImageNet Large Scale Visual Recognition Challenge, 2024, arXiv (Cornell University)
  • Point-Level Region Contrast for Object Detection Pre-Training, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Boundary IoU: Improving Object-Centric Image Segmentation Evaluation, 2021, arXiv (Cornell University)

Their work covers a range of main topics, notably in Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Advanced Image Processing Techniques, and Advanced Neural Network Applications. Other notable topics include Computer Graphics and Visualization Techniques, Domain Adaptation and Few-Shot Learning, and Machine Learning and Algorithms.

Alexander C. Berg frequently collaborates with other researchers. Frequent co-authors include Vicente Ordóñez, Nikhila Ravi, Edward Chou, Tamara L. Berg, and Ronghang Hu. These collaborations have contributed to publications across various venues.

The scientist's research is regularly published in several prominent venues, including arXiv (Cornell University), UNC Libraries, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the Proceedings of the AAAI Conference on Artificial Intelligence.

Best Publications

  • SSD: Single Shot MultiBox Detector

    Wei Liu;Dragomir Anguelov;Dumitru Erhan;Christian Szegedy

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

  • DSSD : Deconvolutional Single Shot Detector.

    Cheng-Yang Fu;Wei Liu;Ananth Ranga;Ambrish Tyagi

  • Attribute and simile classifiers for face verification

    Neeraj Kumar;Alexander C. Berg;Peter N. Belhumeur;Shree K. Nayar

  • SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition

    Hao Zhang;A.C. Berg;M. Maire;J. Malik

  • BabyTalk: Understanding and Generating Simple Image Descriptions

    Girish Kulkarni;Visruth Premraj;Vicente Ordonez;Sagnik Dhar

  • ParseNet: Looking Wider to See Better

    Wei Liu;Andrew Rabinovich;Alexander C. Berg

  • Classification using intersection kernel support vector machines is efficient

    S. Maji;A.C. Berg;J. Malik

  • Shape matching and object recognition using low distortion correspondences

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

  • MatchNet: Unifying feature and metric learning for patch-based matching

    Xufeng Han;Thomas Leung;Yangqing Jia;Rahul Sukthankar

  • Modeling Context in Referring Expressions

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

  • 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

  • What does classifying more than 10,000 image categories tell us?

    Jia Deng;Alexander C. Berg;Kai Li;Li Fei-Fei

  • Describable Visual Attributes for Face Verification and Image Search

    N. Kumar;A. Berg;P. N. Belhumeur;S. Nayar

  • Automatic attribute discovery and characterization from noisy web data

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

  • 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

  • Recognizing Action at a Distance

    Alexei A. Efros;Alexander C. Berg;Greg Mori;Jitendra Malik

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

Frequent Co-Authors

Tamara L. Berg
Tamara L. Berg University of North Carolina at Chapel Hill
Jia Deng
Jia Deng Princeton University
Jitendra Malik
Jitendra Malik University of California, Berkeley
Yejin Choi
Yejin Choi Stanford University
Yung-Hsiang Lu
Yung-Hsiang Lu Purdue University West Lafayette
Jana Kosecka
Jana Kosecka George Mason University
Li Fei-Fei
Li Fei-Fei Stanford University
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
Hal Daumé
Hal Daumé University of Maryland, College Park

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