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Computer Science

D-Index
51
Citations
10501
World Ranking
5337
National Ranking
2446

Overview

Nebojsa Jojic is affiliated with Microsoft in the United States. Their research primarily focuses on the field of Computer Science, with 60 publications in this area. Within computer science, they have contributed significantly to subfields such as Artificial Intelligence, Media Technology, Computer Vision and Pattern Recognition, Ecology, and Signal Processing.

The research topics covered by Nebojsa Jojic include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Remote-Sensing Image Classification
  • Speech and Dialogue Systems
  • Advanced Image Fusion Techniques
  • Remote Sensing in Agriculture
  • Anomaly Detection Techniques and Applications

Jojic has coauthored multiple publications with several frequent collaborators, including Nikolay Malkin, Caleb Robinson, Kolya Malkin, Pedram Ghamisi, and Ronny Hänsch.

Their work has appeared in various publication venues, with a notable presence in the following:

  • arXiv (Cornell University)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Magazine
  • Zenodo (CERN European Organization for Nuclear Research)
  • DOAJ (DOAJ: Directory of Open Access Journals)

Among recent publications, some selected papers include:

  • Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Diffusion models as plug-and-play priors, 2022, arXiv (Cornell University)
  • The Outcome of the 2021 IEEE GRSS Data Fusion Contest-Track MSD: Multitemporal Semantic Change Detection, 2022, DOAJ (DOAJ: Directory of Open Access Journals)
  • Evaluating Cognitive Maps and Planning in Large Language Models with CogEval, 2023, arXiv (Cornell University)
  • Compositional Processing Emerges in Neural Networks Solving Math Problems, 2021, arXiv (Cornell University)

Best Publications

  • LOCUS: learning object classes with unsupervised segmentation

    J. Winn;N. Jojic

  • System and method for visually tracking occluded objects in real time

    Nebojsa Jojic;Matthew A. Turk

  • Video Epitomes

    Vincent Cheung;Brendan J. Frey;Nebojsa Jojic

  • Learning flexible sprites in video layers

    N. Jojic;B.J. Frey

  • A comparison of algorithms for inference and learning in probabilistic graphical models

    B.J. Frey;N. Jojic

  • Deep learning of the regulatory grammar of yeast 5' untranslated regions from 500,000 random sequences.

    Josh T. Cuperus;Benjamin Groves;Anna Kuchina;Alexander B. Rosenberg

  • Detection and estimation of pointing gestures in dense disparity maps

    N. Jojic;B. Brumitt;B. Meyers;S. Harris

  • Consistent segmentation for optical flow estimation

    C.W. Zitnick;N. Jojic;Sing Bing Kang

  • Efficient Ranking from Pairwise Comparisons

    Fabian Wauthier;Michael Jordan;Nebojsa Jojic

  • Transformation-invariant clustering using the EM algorithm

    B.J. Frey;N. Jojic

  • A graphical model for audiovisual object tracking

    M.J. Beal;N. Jojic;H. Attias

  • A deep active learning system for species identification and counting in camera trap images

    Mohammad Sadegh Norouzzadeh;Mohammad Sadegh Norouzzadeh;Dan Morris;Sara Beery;Sara Beery;Neel Joshi

  • A Diagnosis for All Rare Genetic Diseases: The Horizon and the Next Frontiers

    Kym M. Boycott;Taila Hartley;Leslie G. Biesecker;Richard A. Gibbs

  • Online system, method, and computer readable medium to facilitate providing health and wellness assistance

    Heckerman David E;Mundie Craig J;Jojic Nebojsa;Hinrichs Randy J

  • System and method for video browsing using a cluster index

    Nebojsa Jojic;Sumit Basu

  • User interface for adaptive video fast forward

    Nebojsa Jojic;Nemanja Petrovic

  • Generative models for constructing panoramas from an image sequence

    Nebojsa Jojic;Brendan J. Frey

  • Tracking self-occluding articulated objects in dense disparity maps

    N. Jojic;M. Turk;T.S. Huang

  • Stel component analysis: Modeling spatial correlations in image class structure

    Nebojsa Jojic;Alessandro Perina;Marco Cristani;Vittorio Murino

  • Estimating mixture models of images and inferring spatial transformations using the EM algorithm

    B.J. Frey;N. Jojic

Frequent Co-Authors

Brendan J. Frey
Brendan J. Frey University of Toronto
David Heckerman
David Heckerman Microsoft (United States)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Vittorio Murino
Vittorio Murino University of Verona
Dan Morris
Dan Morris Google (United States)
Marco Cristani
Marco Cristani University of Verona
Simon Mallal
Simon Mallal Vanderbilt University Medical Center
Jianchao Yang
Jianchao Yang ByteDance
Jiashi Feng
Jiashi Feng ByteDance
Matthew Turk
Matthew Turk Toyota Technological Institute at Chicago

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