Calculated based on number of publications stored in Pure and citations from Scopus
20132024

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  • 2023

    Anomaly Detection Requires Better Representations

    Reiss, T., Cohen, N., Horwitz, E., Abutbul, R. & Hoshen, Y., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 56-68 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13804 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    5 Scopus citations
  • Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection

    Horwitz, E. & Hoshen, Y., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society, p. 2968-2977 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    4 Scopus citations
  • Mean-Shifted Contrastive Loss for Anomaly Detection

    Reiss, T. & Hoshen, Y., 27 Jun 2023, AAAI-23 Technical Tracks 2. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 2155-2162 8 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Scopus citations
  • Open-Vocabulary Semantic Segmentation Using Test-Time Distillation

    Zabari, N. & Hoshen, Y., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 56-72 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13802 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Out-of-Distribution Detection Without Class Labels

    Cohen, N., Abutbul, R. & Hoshen, Y., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 101-117 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13802 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors.

    Cohen, N., Kahana, J. & Hoshen, Y., 2023, 11th International Conference on Learning Representations, ICLR 2023. OpenReview, p. 1-20 20 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Unsupervised Word Segmentation Using Temporal Gradient Pseudo-Labels

    Fuchs, T. S. & Hoshen, Y., 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-5 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2023-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • 2022

    A Contrastive Objective for Learning Disentangled Representations

    Kahana, J. & Hoshen, Y., 2022, Computer Vision – ECCV 2022 - 17th European Conference, 2022, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 579-595 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13686 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • You Say Factorization Machine, I Say Neural Network-It's All in the Activation

    Almagor, C. & Hoshen, Y., 12 Sep 2022, RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 389-398 10 p. (RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2021

    An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild

    Gabbay, A., Cohen, N. & Hoshen, Y., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 9216-9228 13 p. (Advances in Neural Information Processing Systems; vol. 12).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    13 Scopus citations
  • Image Shape Manipulation from a Single Augmented Training Sample

    Vinker, Y., Horwitz, E., Zabari, N. & Hoshen, Y., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 13749-13758 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    9 Scopus citations
  • Membership Inference Attacks are Easier on Difficult Problems

    Shafran, A., Peleg, S. & Hoshen, Y., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 14800-14809 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    4 Scopus citations
  • PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation

    Reiss, T., Cohen, N., Bergman, L. & Hoshen, Y., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 2805-2813 9 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    119 Scopus citations
  • Scaling-up Disentanglement for Image Translation

    Gabbay, A. & Hoshen, Y., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 6763-6772 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    12 Scopus citations
  • 2020

    Classification-Based Anomaly Detection for General Data.

    Bergman, L. & Hoshen, Y., 2020, ICLR 2020: International Conference on Learning Representations. OpenReview, 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Demystifying Inter-Class Disentanglement.

    Gabbay, A. & Hoshen, Y., 2020, ICLR 2020: International Conference on Learning Representations. OpenReview, 17 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • 2019

    Neural separation of observed and unobserved distributions

    Halperin, T., Ephrat, A. & Hoshen, Y., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 4548-4557 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Scopus citations
  • Non-adversarial image synthesis with generative latent nearest neighbors

    Hoshen, Y., Li, K. & Malik, J., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 5804-5812 9 p. 8953233. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    32 Scopus citations
  • Towards Unsupervised Single-channel Blind Source Separation Using Adversarial Pair Unmix-and-remix

    Hoshen, Y., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3272-3276 5 p. 8682375. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    22 Scopus citations
  • 2018

    NAM: Non-adversarial unsupervised domain mapping

    Hoshen, Y. & Wolf, L., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Weiss, Y. & Hebert, M. (eds.). Springer Verlag, p. 455-470 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11218 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    2 Scopus citations
  • Non-adversarial unsupervised word translation

    Hoshen, Y. & Wolf, L., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 469-478 10 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    64 Scopus citations
  • Unsupervised Correlation Analysis

    Hoshen, Y. & Wolf, L., 14 Dec 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 3319-3328 10 p. 8578448. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    4 Scopus citations
  • 2016

    An Egocentric Look at Video Photographer Identity

    Hoshen, Y. & Peleg, S., 9 Dec 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 4284-4292 9 p. 7780833. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    27 Scopus citations
  • Visual learning of arithmetic operations

    Hoshen, Y. & Peleg, S., 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI Press, p. 3733-3739 7 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Scopus citations
  • 2015

    Live video synopsis for multiple cameras

    Hoshen, Y. & Peleg, S., 9 Dec 2015, 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society, p. 212-216 5 p. 7350790. (Proceedings - International Conference on Image Processing, ICIP; vol. 2015-December).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    13 Scopus citations
  • Speech acoustic modeling from raw multichannel waveforms

    Hoshen, Y., Weiss, R. J. & Wilson, K. W., 4 Aug 2015, 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4624-4628 5 p. 7178847. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2015-August).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    168 Scopus citations
  • The information in temporal histograms

    Hoshen, Y. & Peleg, S., 19 Feb 2015, Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015. Institute of Electrical and Electronics Engineers Inc., p. 412-419 8 p. 7045915. (Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2014

    Wisdom of the crowd in egocentric video curation

    Hoshen, Y., Ben-Artzi, G. & Peleg, S., 24 Sep 2014, Proceedings - 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014. IEEE Computer Society, p. 587-593 7 p. 6910039. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    16 Scopus citations
  • 2013

    Efficient representation of distributions for background subtraction

    Hoshen, Y., Arora, C., Poleg, Y. & Peleg, S., 2013, 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013. IEEE Computer Society, p. 276-281 6 p. 6636652. (2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    2 Scopus citations
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