Irani Michal

Research output

Research output per year 2011 2013 2014 2016 2018 2019 2022 2023 2024 2024

• 15 Conference contribution
• 11 Article
• 9 Conference article
• 3 Paper
• 4 More
  • 2 Chapter
  • 1 Meeting Abstract
  • 1 Patent

Research output per year

Research output per year

Search results

• 2024

  Improving correlation based super-resolution microscopy images through image fusion by self-supervised deep learning

  Beck, L. M., Shocher, A., Rossman, U., Halfon, A., Irani, M. & Oron, D., 29 Jul 2024, In: Optics Express. 32, 16, p. 28195-28205 11 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Article › peer-review

  Open Access

• The Hidden Language of Diffusion Models

  Chefer, H., Lang, O., Geva, M., Polosukhin, V., Shocher, A., Irani, M., Mosseri, I. & Wolf, L., 2024. 20 p.

  Weizmann Institute of Science

  Research output: Contribution to conference › Paper › peer-review

  Open Access

• THE HIDDEN LANGUAGE OF DIFFUSION MODELS

  Chefer, H., Lang, O., Geva, M., Polosukhin, V., Shocher, A., Irani, M., Mosseri, I. & Wolf, L., 2024.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• Using generative AI to investigate medical imagery models and datasets

  Lang, O., Yaya-Stupp, D., Traynis, I., Cole-Lewis, H., Bennett, C. R., Lyles, C. R., Lau, C., Irani, M., Semturs, C., Webster, D. R., Corrado, G. S., Hassidim, A., Matias, Y., Liu, Y., Hammel, N. & Babenko, B., Apr 2024, In: EBioMedicine. 102, 105075.

  Weizmann Institute of Science, Bar-Ilan University

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Classifier 100%
  • Datasets 57%
  • Diagnostic Imaging 50%
  • Research Personnel 34%
  • Thorax 33%
• 2023

  Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses

  Buzaglo, G., Haim, N., Yehudai, G., Vardi, G., Oz, Y., Nikankin, Y. & Irani, M., 2 Nov 2023, (Submitted) In: arxiv.org. 21 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Article

  • Multilayer neural networks 100%
  • Neurons 89%
  • Convolutional neural networks 88%
  • Websites 83%
  • Classifiers 68%

• Imagic: Text-Based Real Image Editing with Diffusion Models

  Kawar, B., Zada, S., Lang, O., Tov, O., Chang, H., Dekel, T., Mosseri, I. & Irani, M., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 6007-6017 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Semantics 100%
  • Birds 85%
  • Masks 69%
  • Tuning 57%
  • Chemical analysis 47%

• Reconstructing Training Data from Multiclass Neural Networks

  Buzaglo, G., Haim, N., Yehudai, G., Vardi, G. & Irani, M., May 2023, (In preparation) In: arxiv.org. 10 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Article

• SinFusion: Training Diffusion Models on a Single Image or Video

  Nikankin, Y., Haim, N. & Irani, M., 2023, In: Proceedings of Machine Learning Research. 202, p. 26199-26214 16 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Diffusion Model 100%
  • Training 94%
  • Extrapolate 21%
  • Large dataset 19%
  • Large Data Sets 18%

• Teaching CLIP to Count to Ten

  Paiss, R., Ephrat, A., Tov, O., Zada, S., Mosseri, I., Irani, M. & Dekel, T., Oct 2023, 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023. p. 3147-3157 11 p. (IEEE International Conference on Computer Vision (ICCV), Proceedings).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Teaching 100%
  • Image retrieval 14%
• 2022

  Combining Internal and External Constraints for Unrolling Shutter in Videos

  Naor, E., Antebi, I., Bagon, S. & Irani, M., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media B.V., Vol. 13677. p. 119-134 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13677 LNCS).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  Open Access

  • Camera shutters 100%
  • Cameras 22%

• Diverse Generation from a Single Video Made Possible

  Haim, N., Feinstein, B., Granot, N., Shocher, A., Bagon, S., Dekel, T. & Irani, M., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media B.V., Vol. 13677. p. 491-509 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13677 LNCS).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Machinery 100%
  • Deep learning 92%

• Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models: In Defense of Patches Nearest Neighbors as Single Image Generative Models

  Granot, N., Feinstein, B., Shocher, A., Bagon, S. & Irani, M., Sep 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). p. 13450-13459 10 p.

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Deep learning 100%

• Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images

  Zada, S., Benou, I. & Irani, M., 1 Jan 2022, In: Proceedings of Machine Learning Research. 162, p. 25817-25833 17 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Conference article › peer-review

  • Random Noise 100%
  • Additive noise 91%
  • Image classification 83%
  • Training 83%
  • Neural networks 47%

• Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity

  Gaziv, G., Beliy, R., Granot, N., Hoogi, A., Strappini, F., Golan, T. & Irani, M., 1 Jul 2022, In: NeuroImage. 254, 119121.

  Weizmann Institute of Science

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Computer-Assisted Image Processing 100%
  • Semantics 85%
  • Magnetic Resonance Imaging 54%
  • Brain 40%
• 2021

  Explaining in Style: Training a GAN to explain a classifier in StyleSpace

  Lang, O., Gandelsman, Y., Yarom, M., Wald, Y., Elidan, G., Hassidim, A., Freeman, W. T., Isola, P., Globerson, A., Irani, M. & Mosseri, I., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 673-682 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Classifiers 100%
  • Semantics 27%
  • Image classification 21%
  • Animals 19%

• Explaining in Style: Training a GAN to explain a classifier in StyleSpace: Training a GAN to explain a classifier in StyleSpace

  Lang, O., Gandelsman, Y., Yarom, M., Wald, Y., Elidan, G., Hassidim, A., Freeman, W. T., Isola, P., Globerson, A., Irani, M. & Mosseri, I., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 673-682 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

  Weizmann Institute of Science, Tel Aviv University

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Classifiers 100%
  • Semantics 27%
  • Image classification 21%
  • Animals 19%
• 2020

  Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning

  Zuckerman, L. P., Naor, E., Pisha, G., Bagon, S. & Irani, M., 9 Nov 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media B.V., p. 52-68 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12352 LNCS).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Motion Blur 100%
  • Super-resolution 76%
  • Aliasing 65%
  • Learning 45%
  • Interpolation 42%

• SpeedNet: Learning the Speediness in Videos

  Benaim, S., Ephrat, A., Lang, O., Mosseri, I., Freeman, W. T., Rubinstein, M., Irani, M. & Dekel, T., 2020, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 9919-9928 10 p., 9156879.

  Tel Aviv University, Weizmann Institute of Science

  Research output: Contribution to journal › Conference article › peer-review

  Open Access
• 2019

  "Blind" visual inference by composition

  Irani, M., 1 Jun 2019, In: Pattern Recognition Letters. 124, p. 39-54 16 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Article › peer-review

  • Optical properties 100%
  • Chemical analysis 52%
  • Inverse problems 43%
  • Optics 41%
  • Redundancy 34%

• Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks

  Grossman, S., Gaziv, G., Yeagle, E. M., Harel, M., Megevand, P., Groppe, D. M., Khuvis, S., Herrero, J. L., Irani, M., Mehta, A. D. & Malach, R., 30 Oct 2019, In: Nature Communications. 10, 1, 13 p., 4934.

  Weizmann Institute of Science

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Facial Recognition 100%
  • human performance 23%
  • geometry 22%
  • tuning 20%
  • preserving 13%

• "Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors

  Gandelsman, Y., Shocher, A. & Irani, M., 9 Jan 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, p. 11018-11027 10 p. 8954420. (IEEE Conference on Computer Vision and Pattern Recognition).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Decomposition 100%
  • Statistics 77%
  • Transparency 35%
  • Image segmentation 32%
  • Computer vision 29%

• From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI

  Beliy, R., Gaziv, G., Hoogi, A., Strappini, F., Golan, T. & Irani, M., 1 Jan 2019, In: Advances in Neural Information Processing Systems. 32

  Weizmann Institute of Science

  Research output: Contribution to journal › Conference article › peer-review

  • Magnetic Resonance Imaging 100%
  • Image reconstruction 90%
  • Pixels 65%
  • Image recording 15%
  • Labeled data 11%

• InGAN: Capturing and Retargeting the "DNA" of a Natural Image

  Shocher, A., Bagon, S., Isola, P. & Irani, M., 2019, 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019). IEEE Computer Society, p. 4491-4500 10 p. 9009560. (IEEE International Conference on Computer Vision).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • DNA 100%
  • Aspect ratio 89%
  • Textures 77%
  • Statistics 72%

• Local transform-based data fusion for high resolution dynamic MRI

  Pollak-Zuckerman, L., Irani, M., Weizman, L., Eldar, Y. C., Ben Bashat, D. & Arzi, M., 5 Dec 2019, IPC No. A61B 5/ 055 A I, Patent No. WO2019229758, Priority date 31 May 2018, Priority No. IL20180259753

  Weizmann Institute of Science

  Research output: Patent

  Open Access

  • Magnetic Resonance Imaging 100%
• 2018

  Internal versus external denoising—Benefits and bounds

  Zontak, M. & Irani, M., 11 Sep 2018, (Published Online) Denoising of Photographic Images and Video. Bertalmio, M. (ed.). p. 151-174 24 p. (Advances in Computer Vision and Pattern Recognition).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Signal to noise ratio 100%
  • Image denoising 70%
  • Redundancy 51%
  • Computer vision 51%
  • Image processing 47%

• Laplacian pyramid based data fusion for high resolution dynamic MRI

  Pollack-Zuckerman, L., Weizman, L., Eldar, Y. C., Ben Bashat, D., Arzi, M. & Irani, M., Jun 2018.

  Weizmann Institute of Science

  Research output: Contribution to conference › Paper › peer-review

  • Data fusion 100%
  • Magnetic resonance imaging 98%
  • Optical resolving power 82%
  • Image resolution 33%
  • Tumors 32%

• Perceptual Dominance in Brief Presentations of Mixed Images: Human Perception vs. Deep Neural Networks

  Gruber, L. Z., Haruvi, A., Basri, R. & Irani, M., 24 Jul 2018, In: Frontiers in Computational Neuroscience. 12, 10 p., 57.

  Weizmann Institute of Science

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Computer Neural Networks 100%
  • Visual Perception 93%
  • Brain 37%

• "Zero-Shot" Super-Resolution using Deep Internal Learning

  Shocher, A., Cohen, N. & Irani, M., 14 Dec 2018, 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR). p. 3118-3126 9 p. (IEEE Conference on Computer Vision and Pattern Recognition).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Deep learning 100%
  • Optical resolving power 73%
  • Image resolution 60%
  • Image compression 56%
  • Sensors 28%
• 2017

  Non-uniform Blind Deblurring by Reblurring

  Bahat, Y., Efrat, N. & Irani, M., 22 Dec 2017, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. p. 3306-3314 9 p. 8237618. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2017-October).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Deep learning 100%
• 2016

  Blind dehazing using internal patch recurrence

  Bahat, Y. & Irani, M., 15 Jun 2016, 2016 IEEE International Conference on Computational Photography, ICCP 2016 - Proceedings. 9 p. 7492870. (2016 IEEE International Conference on Computational Photography, ICCP 2016 - Proceedings).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Fog 100%
  • Scattering 85%
  • haze 70%
  • Recovery 61%
  • Image denoising 53%

• Needle-Match: Reliable Patch Matching under High Uncertainty

  Lotan, O. & Irani, M., 2016, In: 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CPVR). p. 439-448 10 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Meeting Abstract › peer-review

  • Needles 100%
  • Uncertainty 59%
  • Image quality 58%
  • Degradation 44%

• Temporal-Needle: A view and appearance invariant video descriptor

  Yarom, M. & Irani, M., 14 Dec 2016, (Submitted) In: arXiv. 20 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Article

  • Needles 100%
  • Cameras 67%
  • Pixels 35%
• 2015

  Revealing and modifying non-local variations in a single image

  Dekel, T., Michaeli, T., Irani, M. & Freeman, W. T., Oct 2015, In: ACM Transactions on Graphics. 34, 6, 227.

  Weizmann Institute of Science, Technion - Israel Institute of Technology

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Color 100%
• 2014

  Blind deblurring using internal patch recurrence

  Michaeli, T. & Irani, M., 2014, Computer Vision, ECCV 2014 - 13th European Conference, Proceedings. PART 3 ed. p. 783-798 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8691 LNCS, no. PART 3).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Deblurring 100%
  • Patch 69%
  • Recurrence 62%
  • Internal 54%
  • Super-resolution 12%

• Blind Deblurring Using Internal Patch Recurrence

  Michaeli, T. & Irani, M., 2014, In: COMPUTER VISION - ECCV 2014, PT III. 8691, p. 783-798 16 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Conference article › peer-review

  • Deblurring 100%
  • Patch 69%
  • Recurrence 62%
  • Internal 54%
  • Super-resolution 12%

• "Clustering by composition" - Unsupervised discovery of image categories

  Faktor, A. & Irani, M., Jun 2014, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 36, 6, p. 1092-1106 15 p., 6684535.

  Weizmann Institute of Science

  Research output: Contribution to journal › Article › peer-review

  • Volatile organic compounds 100%
  • Clustering 78%
  • Chemical analysis 53%
  • Affine transformation 18%
  • Search Algorithm 9%
• 2013

  Combining the Power of Internal and External Denoising

  Mosseri, I., Zontak, M. & Irani, M., 2013, In: 2013 Ieee International Conference On Computational Photography (Iccp 2013). 9 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Conference article › peer-review

  • Image denoising 100%
  • Signal to noise ratio 35%

• Nonparametric blind super-resolution

  Michaeli, T. & Irani, M., 2013, Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013. p. 945-952 8 p. 6751227. (Proceedings of the IEEE International Conference on Computer Vision).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Cameras 100%
  • Optical transfer function 90%
  • Low pass filters 77%
  • Image resolution 75%

• Separating signal from noise using patch recurrence across scales

  Zontak, M., Mosseri, I. & Irani, M., 2013, In: 2013 Ieee Conference On Computer Vision And Pattern Recognition (Cvpr). p. 1195-1202 8 p., 6619002.

  Weizmann Institute of Science

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Image denoising 100%
  • Experiments 30%
• 2012

  "Clustering by Composition" - Unsupervised Discovery of Image Categories

  Faktor, A. & Irani, M., 2012, Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012. Proceedings, Part VII. Fitzgibbon, A. (ed.). 6 ed. Springer Verlag, Vol. 36. p. 474-487 15 p. (Lecture Notes in Computer Science; vol. 7578).

  Weizmann Institute of Science

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Volatile organic compounds 100%
  • Chemical analysis 53%
• 2011

  Internal Statistics of a Single Natural Image

  Zontak, M. & Irani, M., 2011, In: 2011 Ieee Conference On Computer Vision And Pattern Recognition (Cvpr). p. 977-984 8 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Conference article › peer-review

  • Statistics 100%
  • Redundancy 16%
  • Computer vision 16%

• Space-Time Super-Resolution from a Single Video

  Shahar, O., Faktor, A. & Irani, M., 2011, In: 2011 Ieee Conference On Computer Vision And Pattern Recognition (Cvpr). p. 60 8 p.

  Weizmann Institute of Science

  Research output: Contribution to journal › Conference article › peer-review

  • Video recording 100%
  • Pixels 29%