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ORCIDMichal Irani
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- affiliation: Weizmann Institute of Science, Rehovot, Israel
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2020 – today
- 2024
[c77]Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf:
The Hidden Language of Diffusion Models. ICLR 2024- [i29]Roman Beliy, Navve Wasserman, Amit Zalcher, Michal Irani:
The Wisdom of a Crowd of Brains: A Universal Brain Encoder. CoRR abs/2406.12179 (2024) - [i28]Yakir Oz, Gilad Yehudai, Gal Vardi, Itai Antebi, Michal Irani, Niv Haim:
Reconstructing Training Data From Real World Models Trained with Transfer Learning. CoRR abs/2407.15845 (2024) - 2023
- [c76]Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani:
Imagic: Text-Based Real Image Editing with Diffusion Models. CVPR 2023: 6007-6017 - [c75]Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, Tali Dekel:
Teaching CLIP to Count to Ten. ICCV 2023: 3147-3157 - [c74]Yaniv Nikankin, Niv Haim, Michal Irani:
SinFusion: Training Diffusion Models on a Single Image or Video. ICML 2023: 26199-26214 - [c73]Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani:
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses. NeurIPS 2023 - [i27]Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, Tali Dekel:
Teaching CLIP to Count to Ten. CoRR abs/2302.12066 (2023) - [i26]Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Michal Irani:
Reconstructing Training Data from Multiclass Neural Networks. CoRR abs/2305.03350 (2023) - [i25]Hila Chefer, Oran Lang, Mor Geva
, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf:
The Hidden Language of Diffusion Models. CoRR abs/2306.00966 (2023) - [i24]Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani:
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses. CoRR abs/2307.01827 (2023) - 2022
- [j29]Guy Gaziv, Roman Beliy, Niv Granot, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani:
Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity. NeuroImage 254: 119121 (2022) - [c72]Niv Granot, Ben Feinstein, Assaf Shocher, Shai Bagon, Michal Irani:
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models. CVPR 2022: 13450-13459 - [c71]Michal Irani:
"Deep Internal Learning": Deep Learning and Visual Inference without Prior Examples. DeLTA 2022: 7 - [c70]Eyal Naor, Itai Antebi, Shai Bagon, Michal Irani:
Combining Internal and External Constraints for Unrolling Shutter in Videos. ECCV (17) 2022: 119-134 - [c69]Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Generation from a Single Video Made Possible. ECCV (17) 2022: 491-509 - [c68]Shiran Zada, Itay Benou, Michal Irani:
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images. ICML 2022: 25817-25833 - [c67]Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani:
Reconstructing Training Data From Trained Neural Networks. NeurIPS 2022 - [c66]Ron Mokady, Omer Tov, Michal Yarom, Oran Lang, Inbar Mosseri, Tali Dekel, Daniel Cohen-Or, Michal Irani:
Self-Distilled StyleGAN: Towards Generation from Internet Photos. SIGGRAPH (Conference Paper Track) 2022: 50:1-50:9 - [i23]Ron Mokady, Michal Yarom, Omer Tov, Oran Lang, Daniel Cohen-Or, Tali Dekel, Michal Irani, Inbar Mosseri:
Self-Distilled StyleGAN: Towards Generation from Internet Photos. CoRR abs/2202.12211 (2022) - [i22]Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Video Generation from a Single Video. CoRR abs/2205.05725 (2022) - [i21]Ganit Kupershmidt, Roman Beliy, Guy Gaziv, Michal Irani:
A Penny for Your (visual) Thoughts: Self-Supervised Reconstruction of Natural Movies from Brain Activity. CoRR abs/2206.03544 (2022) - [i20]Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani:
Reconstructing Training Data from Trained Neural Networks. CoRR abs/2206.07758 (2022) - [i19]Eyal Naor, Itai Antebi, Shai Bagon, Michal Irani:
Combining Internal and External Constraints for Unrolling Shutter in Videos. CoRR abs/2207.11725 (2022) - [i18]Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani:
Imagic: Text-Based Real Image Editing with Diffusion Models. CoRR abs/2210.09276 (2022) - [i17]Yaniv Nikankin, Niv Haim, Michal Irani:
SinFusion: Training Diffusion Models on a Single Image or Video. CoRR abs/2211.11743 (2022) - 2021
- [c65]Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri:
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. ICCV 2021: 673-682 - [i16]Niv Granot, Assaf Shocher, Ben Feinstein, Shai Bagon, Michal Irani:
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models. CoRR abs/2103.15545 (2021) - [i15]Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri:
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. CoRR abs/2104.13369 (2021) - [i14]Guy Gaziv, Michal Irani:
More than meets the eye: Self-supervised depth reconstruction from brain activity. CoRR abs/2106.05113 (2021) - [i13]Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Generation from a Single Video Made Possible. CoRR abs/2109.08591 (2021) - [i12]Shiran Zada, Itay Benou, Michal Irani:
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images. CoRR abs/2112.08810 (2021) - 2020
- [c64]Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. CVPR 2020: 7455-7464 - [c63]Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel:
SpeedNet: Learning the Speediness in Videos. CVPR 2020: 9919-9928 - [c62]Liad Pollak Zuckerman, Eyal Naor, George Pisha, Shai Bagon, Michal Irani:
Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning. ECCV (7) 2020: 52-68 - [i11]Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. CoRR abs/2003.06221 (2020) - [i10]Liad Pollak Zuckerman, Shai Bagon, Eyal Naor, George Pisha, Michal Irani:
Across Scales \& Across Dimensions: Temporal Super-Resolution using Deep Internal Learning. CoRR abs/2003.08872 (2020) - [i9]Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel:
SpeedNet: Learning the Speediness in Videos. CoRR abs/2004.06130 (2020) - [i8]Assaf Shocher, Ben Feinstein, Niv Haim, Michal Irani:
From Discrete to Continuous Convolution Layers. CoRR abs/2006.11120 (2020)
2010 – 2019
- 2019
- [j28]Michal Irani:
"Blind" visual inference by composition. Pattern Recognit. Lett. 124: 39-54 (2019) - [c61]Yossi Gandelsman, Assaf Shocher, Michal Irani:
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. CVPR 2019: 11026-11035 - [c60]Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani:
InGAN: Capturing and Retargeting the "DNA" of a Natural Image. ICCV 2019: 4491-4500 - [c59]Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops 2019: 3575-3583 - [c58]Michal Irani:
Unsupervised Internal Learning. ICPRAM 2019: 7 - [c57]Sefi Bell-Kligler, Assaf Shocher, Michal Irani:
Blind Super-Resolution Kernel Estimation using an Internal-GAN. NeurIPS 2019: 284-293 - [c56]Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani:
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI. NeurIPS 2019: 6514-6524 - [i7]Yuval Bahat, Michal Irani, Gregory Shakhnarovich:
Natural and Adversarial Error Detection using Invariance to Image Transformations. CoRR abs/1902.00236 (2019) - [i6]Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani:
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI. CoRR abs/1907.02431 (2019) - [i5]Sefi Bell-Kligler, Assaf Shocher, Michal Irani:
Blind Super-Resolution Kernel Estimation using an Internal-GAN. CoRR abs/1909.06581 (2019) - 2018
- [j27]Liron Z. Gruber, Aia Haruvi, Ronen Basri, Michal Irani:
Perceptual Dominance in Brief Presentations of Mixed Images: Human Perception vs. Deep Neural Networks. Frontiers Comput. Neurosci. 12: 57 (2018) - [c55]Assaf Shocher, Nadav Cohen, Michal Irani:
"Zero-Shot" Super-Resolution Using Deep Internal Learning. CVPR 2018: 3118-3126 - [i4]Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani:
Internal Distribution Matching for Natural Image Retargeting. CoRR abs/1812.00231 (2018) - [i3]Yossi Gandelsman, Assaf Shocher, Michal Irani:
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. CoRR abs/1812.00467 (2018) - 2017
- [c54]Yuval Bahat, Netalee Efrat, Michal Irani:
Non-uniform Blind Deblurring by Reblurring. ICCV 2017: 3306-3314 - [i2]Assaf Shocher, Nadav Cohen, Michal Irani:
"Zero-Shot" Super-Resolution using Deep Internal Learning. CoRR abs/1712.06087 (2017) - 2016
- [c53]Or Lotan, Michal Irani:
Needle-Match: Reliable Patch Matching under High Uncertainty. CVPR 2016: 439-448 - [c52]Yuval Bahat, Michal Irani:
Blind dehazing using internal patch recurrence. ICCP 2016: 1-9 - [i1]Michal Yarom, Michal Irani:
Temporal-Needle: A view and appearance invariant video descriptor. CoRR abs/1612.04854 (2016) - 2015
- [j26]Tali Dekel, Tomer Michaeli, Michal Irani, William T. Freeman:
Revealing and modifying non-local variations in a single image. ACM Trans. Graph. 34(6): 227:1-227:11 (2015) - 2014
- [j25]Alon Faktor, Michal Irani:
"Clustering by Composition" - Unsupervised Discovery of Image Categories. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1092-1106 (2014) - [c51]Alon Faktor, Michal Irani:
Video Segmentation by Non-Local Consensus voting. BMVC 2014 - [c50]Tomer Michaeli, Michal Irani:
Blind Deblurring Using Internal Patch Recurrence. ECCV (3) 2014: 783-798 - 2013
- [c49]Maria Zontak, Inbar Mosseri, Michal Irani:
Separating Signal from Noise Using Patch Recurrence across Scales. CVPR 2013: 1195-1202 - [c48]Inbar Mosseri, Maria Zontak, Michal Irani:
Combining the power of Internal and External denoising. ICCP 2013: 1-9 - [c47]Tomer Michaeli, Michal Irani:
Nonparametric Blind Super-resolution. ICCV 2013: 945-952 - [c46]Alon Faktor, Michal Irani:
Co-segmentation by Composition. ICCV 2013: 1297-1304 - 2012
- [c45]Alon Faktor, Michal Irani:
"Clustering by Composition" - Unsupervised Discovery of Image Categories. ECCV (7) 2012: 474-487 - 2011
- [c44]Maria Zontak, Michal Irani:
Internal statistics of a single natural image. CVPR 2011: 977-984 - [c43]Oded Shahar, Alon Faktor, Michal Irani:
Space-time super-resolution from a single video. CVPR 2011: 3353-3360 - 2010
- [c42]Shai Bagon, Or Brostovski, Meirav Galun, Michal Irani:
Detecting and sketching the common. CVPR 2010: 33-40 - [c41]Eli Shechtman, Alex Rav-Acha, Michal Irani, Steven M. Seitz:
Regenerative morphing. CVPR 2010: 615-622
2000 – 2009
- 2009
- [c40]Daniel Glasner, Shai Bagon, Michal Irani:
Super-resolution from a single image. ICCV 2009: 349-356 - 2008
- [c39]Oren Boiman, Eli Shechtman, Michal Irani:
In defense of Nearest-Neighbor based image classification. CVPR 2008 - [c38]Denis Simakov, Yaron Caspi, Eli Shechtman, Michal Irani:
Summarizing visual data using bidirectional similarity. CVPR 2008 - [c37]Shai Bagon, Oren Boiman, Michal Irani:
What Is a Good Image Segment? A Unified Approach to Segment Extraction. ECCV (4) 2008: 30-44 - 2007
- [j24]Oren Boiman, Michal Irani:
Detecting Irregularities in Images and in Video. Int. J. Comput. Vis. 74(1): 17-31 (2007) - [j23]Yonatan Wexler, Eli Shechtman, Michal Irani:
Space-Time Completion of Video. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 463-476 (2007) - [j22]Eli Shechtman, Michal Irani:
Space-Time Behavior-Based Correlation - OR - How to Tell If Two Underlying Motion Fields Are Similar Without Computing Them? IEEE Trans. Pattern Anal. Mach. Intell. 29(11): 2045-2056 (2007) - [j21]Lena Gorelick, Moshe Blank, Eli Shechtman, Michal Irani, Ronen Basri:
Actions as Space-Time Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2247-2253 (2007) - [c36]Eli Shechtman, Michal Irani:
Matching Local Self-Similarities across Images and Videos. CVPR 2007 - [c35]Michal Irani:
Seeing the Invisible and Predicting the Unexpected. IbPRIA (1) 2007: 7-8 - 2006
- [j20]Lihi Zelnik-Manor, Michal Irani:
On Single-Sequence and Multi-Sequence Factorizations. Int. J. Comput. Vis. 67(3): 313-326 (2006) - [j19]Lihi Zelnik-Manor, Moshe Machline, Michal Irani:
Multi-body Factorization with Uncertainty: Revisiting Motion Consistency. Int. J. Comput. Vis. 68(1): 27-41 (2006) - [j18]Yaron Caspi, Denis Simakov, Michal Irani:
Feature-Based Sequence-to-Sequence Matching. Int. J. Comput. Vis. 68(1): 53-64 (2006) - [j17]Lihi Zelnik-Manor, Michal Irani:
Statistical Analysis of Dynamic Actions. IEEE Trans. Pattern Anal. Mach. Intell. 28(9): 1530-1535 (2006) - [c34]Yaron Ukrainitz, Michal Irani:
Aligning Sequences and Actions by Maximizing Space-Time Correlations. ECCV (3) 2006: 538-550 - [c33]Oren Boiman, Michal Irani:
Similarity by Composition. NIPS 2006: 177-184 - 2005
- [j16]Eli Shechtman, Yaron Caspi, Michal Irani:
Space-Time Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 27(4): 531-545 (2005) - [c32]Eli Shechtman, Michal Irani:
Space-Time Behavior Based Correlation. CVPR (1) 2005: 405-412 - [c31]Bernard Sarel, Michal Irani:
Separating Transparent Layers of Repetitive Dynamic Behaviors. ICCV 2005: 26-32 - [c30]Oren Boiman, Michal Irani:
Detecting Irregularities in Images and in Video. ICCV 2005: 462-469 - [c29]Moshe Blank, Lena Gorelick, Eli Shechtman, Michal Irani, Ronen Basri:
Actions as Space-Time Shapes. ICCV 2005: 1395-1402 - 2004
- [c28]Yonatan Wexler, Eli Shechtman, Michal Irani:
Space-Time Video Completion. CVPR (1) 2004: 120-127 - [c27]Bernard Sarel, Michal Irani:
Separating Transparent Layers through Layer Information Exchange. ECCV (4) 2004: 328-341 - [c26]Lihi Zelnik-Manor, Michal Irani:
Temporal Factorization vs. Spatial Factorization. ECCV (2) 2004: 434-445 - 2003
- [c25]Lihi Zelnik-Manor, Michal Irani:
Degeneracies, Dependencies and their Implications in Multi-body and Multi-Sequence Factorizations. CVPR (2) 2003: 287-293 - 2002
- [j15]Yaron Caspi, Michal Irani:
Aligning Non-Overlapping Sequences. Int. J. Comput. Vis. 48(1): 39-51 (2002) - [j14]Michal Irani:
Multi-Frame Correspondence Estimation Using Subspace Constraints. Int. J. Comput. Vis. 48(3): 173-194 (2002) - [j13]P. Anandan, Michal Irani:
Factorization with Uncertainty. Int. J. Comput. Vis. 49(2-3): 101-116 (2002) - [j12]Lihi Zelnik-Manor, Michal Irani:
Multiview Constraints on Homographies. IEEE Trans. Pattern Anal. Mach. Intell. 24(2): 214-223 (2002) - [j11]Yaron Caspi, Michal Irani:
Spatio-Temporal Alignment of Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 24(11): 1409-1424 (2002) - [j10]Michal Irani, P. Anandan, Meir Cohen:
Direct Recovery of Planar-Parallax from Multiple Frames. IEEE Trans. Pattern Anal. Mach. Intell. 24(11): 1528-1534 (2002) - [c24]Eli Shechtman, Yaron Caspi, Michal Irani:
Increasing Space-Time Resolution in Video. ECCV (1) 2002: 753-768 - [c23]Michal Irani, Tal Hassner, P. Anandan:
What Does the Scene Look Like from a Scene Point? ECCV (2) 2002: 883-897 - 2001
- [c22]Lihi Zelnik-Manor, Michal Irani:
Event-Based Analysis of Video. CVPR (2) 2001: 123-130 - [c21]Yaron Caspi, Michal Irani:
Alignment of Non-Overlapping Sequences. ICCV 2001: 76-83 - 2000
- [j9]Lihi Zelnik-Manor, Michal Irani:
Multi-Frame Estimation of Planar Motion. IEEE Trans. Pattern Anal. Mach. Intell. 22(10): 1105-1116 (2000) - [c20]Yaron Caspi, Michal Irani:
Step towards Sequence-to-Sequence Alignment. CVPR 2000: 2682-2689 - [c19]Michal Irani, P. Anandan:
Factorization with Uncertainty. ECCV (1) 2000: 539-553
1990 – 1999
- 1999
- [c18]Lihi Zelnik-Manor, Michal Irani:
Multi-Frame Alignment of Planes. CVPR 1999: 1151-1156 - [c17]Michal Irani:
Multi-Frame Optical Flow Estimation using Subspace Constraints. ICCV 1999: 626-633 - [c16]Lihi Zelnik-Manor, Michal Irani:
Multi-View Subspace Constraints on Homographies. ICCV 1999: 710-715 - [c15]Michal Irani, P. Anandan, Meir Cohen:
Direct Recovery of Planar-Parallax from Multiple Frames. Workshop on Vision Algorithms 1999: 85-99 - [c14]Michal Irani, P. Anandan:
About Direct Methods. Workshop on Vision Algorithms 1999: 267-277 - 1998
- [j8]Michal Irani, P. Anandan:
A Unified Approach to Moving Object Detection in 2D and 3D Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 20(6): 577-589 (1998) - [j7]Michal Irani, P. Anandan:
Video indexing based on mosaic representations. Proc. IEEE 86(5): 905-921 (1998) - [c13]Michal Irani, P. Anandan, Daphna Weinshall:
From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications. ECCV (2) 1998: 829-845 - [c12]Michal Irani, P. Anandan:
Robust Multi-Sensor Image Alignment. ICCV 1998: 959-966 - [c11]Daphna Weinshall, P. Anandan, Michal Irani:
From Ordinal to Euclidean Reconstruction with Partial Scene Calibration. SMILE 1998: 208-223 - 1997
- [j6]Michal Irani, Benny Rousso, Shmuel Peleg:
Recovery of Ego-Motion Using Region Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 19(3): 268-272 (1997) - [c10]Michal Irani, Harpreet S. Sawhney, Rakesh Kumar, P. Anandan:
Interactive content-based video indexing and browsing. MMSP 1997: 313-318 - 1996
- [j5]Michal Irani, P. Anandan, Jim Bergen, Rakesh Kumar, Steven C. Hsu:
Efficient representations of video sequences and their applications. Signal Process. Image Commun. 8(4): 327-351 (1996) - [c9]Michal Irani, P. Anandan:
Parallax Geometry of Pairs of Points for 3D Scene Analysis. ECCV (1) 1996: 17-30 - [c8]Michal Irani, P. Anandan:
A unified approach to moving object detection in 2D and 3D scenes. ICPR 1996: 712-717 - 1995
- [j4]Michal Irani, Steven C. Hsu, P. Anandan:
Video compression using mosaic representations. Signal Process. Image Commun. 7(4-6): 529-552 (1995) - [c7]Michal Irani, P. Anandan, Steven C. Hsu:
Mosaic Based Representations of Video Sequences and Their Applications. ICCV 1995: 605-611 - [c6]P. Anandan, Michal Irani, Rakesh Kumar, James R. Bergen:
Video as an image data source: efficient representations and applications. ICIP 1995: 318-321 - 1994
- [j3]Michal Irani, Benny Rousso, Shmuel Peleg:
Computing occluding and transparent motions. Int. J. Comput. Vis. 12(1): 5-16 (1994) - [c5]Michal Irani, Benny Rousso, Shmuel Peleg:
Recovery of ego-motion using image stabilization. CVPR 1994: 454-460 - 1993
- [b1]Michal Irani:
Isolating multiple 2D image motions for image enhancement and for 3D motion analysis (בדוד תנועות דו-ממדיות מרבות בתמונות לצרך שפור איכות התמונות ולאנליזה של תנועה תלת-ממדית.). Hebrew University of Jerusalem, Israel, 1993 - [j2]Michal Irani, Shmuel Peleg:
Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency. J. Vis. Commun. Image Represent. 4(4): 324-335 (1993) - [c4]Michal Irani, Benny Rousso, Shmuel Peleg:
Robust Recovery of Ego-Motion. CAIP 1993: 371-378 - 1992
- [c3]Michal Irani, Shmuel Peleg:
Image sequence enhancement using multiple motions analysis. CVPR 1992: 216-221 - [c2]Michal Irani, Benny Rousso, Shmuel Peleg:
Detecting and Tracking Multiple Moving Objects Using Temporal Integration. ECCV 1992: 282-287 - 1991
- [j1]Michal Irani, Shmuel Peleg:
Improving resolution by image registration. CVGIP Graph. Model. Image Process. 53(3): 231-239 (1991) - 1990
- [c1]Michal Irani, Shmuel Peleg:
Super resolution from image sequences. ICPR (2) 1990: 115-120
Coauthor Index
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