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Computer Science

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39
Citations
15360
World Ranking
9489
National Ranking
153

Overview

Lihi Zelnik-Manor is affiliated with the Technion - Israel Institute of Technology in Israel. Their research primarily spans the field of Computer Science, with a particular focus on Artificial Intelligence and Computer Vision and Pattern Recognition. Additional areas of study include Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, and Control and Systems Engineering.

The scientist's main topics of research cover a range of advanced technologies and methodologies:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Machine Learning and Data Classification
  • Text and Document Classification Technologies
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition

Among the recent papers authored or coauthored by Lihi Zelnik-Manor are:

  • "Asymmetric Loss For Multi-Label Classification," published in 2021 at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Asymmetric Loss For Multi-Label Classification," published in 2020 via arXiv (Cornell University)
  • "An Image is Worth 16x16 Words, What is a Video Worth?," published in 2021 via arXiv (Cornell University)
  • "Multi-label Classification with Partial Annotations using Class-aware Selective Loss," published in 2022 at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Semantic Diversity Learning for Zero-Shot Multi-label Classification," published in 2021 at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Lihi has collaborated frequently with several coauthors throughout their work, including:

  • Asaf Noy
  • Emanuel Ben-Baruch
  • Itamar Friedman
  • Nadav Zamir
  • Tal Ridnik

The scientist's publications appear predominantly in venues such as:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • PLoS ONE
  • 2022 26th International Conference on Pattern Recognition (ICPR)

Best Publications

  • Context-Aware Saliency Detection

    Stas Goferman;Lihi Zelnik-Manor;Ayellet Tal

  • Context-aware saliency detection

    Stas Goferman;Lihi Zelnik-Manor;Ayellet Tal

  • Self-Tuning Spectral Clustering

    Lihi Zelnik-manor;Pietro Perona

  • How to Evaluate Foreground Maps

    Ran Margolin;Lihi Zelnik-Manor;Ayellet Tal

  • What Makes a Patch Distinct

    Ran Margolin;Ayellet Tal;Lihi Zelnik-Manor

  • Event-based analysis of video

    L. Zelnik-Manor;M. Irani

  • The 2018 PIRM Challenge on Perceptual Image Super-Resolution

    Yochai Blau;Roey Mechrez;Radu Timofte;Tomer Michaeli

  • The Contextual Loss for Image Transformation with Non-Aligned Data

    Roey Mechrez;Itamar Talmi;Lihi Zelnik-Manor

  • Beyond pairwise clustering

    S. Agarwal;Jongwoo Lim;L. Zelnik-Manor;P. Perona

  • Learning Video Saliency from Human Gaze Using Candidate Selection

    Dmitry Rudoy;Dan B. Goldman;Eli Shechtman;Lihi Zelnik-Manor

  • Sensing Matrix Optimization for Block-Sparse Decoding

    L. Zelnik-Manor;K. Rosenblum;Y. C. Eldar

  • Statistical analysis of dynamic actions

    L. Zelnik-Manor;M. Irani

  • Large Scale Max-Margin Multi-Label Classification with Priors

    Bharath Hariharan;Lihi Zelnik-manor;Manik Varma;S.v.n. Vishwanathan

  • Hybrid models for human motion recognition

    C. Fanti;L. Zelnik-Manor;P. Perona

  • Graph Embedded Pose Clustering for Anomaly Detection

    Amir Markovitz;Gilad Sharir;Itamar Friedman;Lihi Zelnik-Manor

  • Dictionary Optimization for Block-Sparse Representations

    L. Zelnik-Manor;K. Rosenblum;Y. C. Eldar

  • Degeneracies, dependencies and their implications in multi-body and multi-sequence factorizations

    L. Zelnik-Manor;M. Irani

  • Squaring the circle in panoramas

    L. Zelnik-Manor;G. Peters;P. Perona

  • Approximate Nearest Subspace Search

    R Basri;T Hassner;L Zelnik-Manor

  • Saliency for image manipulation

    Ran Margolin;Lihi Zelnik-Manor;Ayellet Tal

Frequent Co-Authors

Michal Irani
Michal Irani Weizmann Institute of Science
Ayellet Tal
Ayellet Tal Technion – Israel Institute of Technology
Pietro Perona
Pietro Perona California Institute of Technology
Tal Hassner
Tal Hassner Facebook (United States)
Daniel Cremers
Daniel Cremers Technical University of Munich
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Ronen Basri
Ronen Basri Weizmann Institute of Science
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Radu Timofte
Radu Timofte University of Wurzburg
Shai Avidan
Shai Avidan Tel Aviv University

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