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2020 – today
- 2023
[j44]Raja Giryes
:
A Function Space Analysis of Finite Neural Networks With Insights From Sampling Theory. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 27-37 (2023)- [j43]Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye:
Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. IEEE Signal Process. Mag. 40(1): 28-30 (2023) - 2022
- [j42]Rana Hanocka, Jackie Assa, Daniel Cohen-Or, Raja Giryes:
Learning Camera Control in Dynamic Scenes from Limited Demonstrations. Comput. Graph. Forum 41(1): 427-437 (2022) - [j41]Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, Daniel Cohen-Or:
Z2P: Instant Visualization of Point Clouds. Comput. Graph. Forum 41(2): 461-471 (2022) - [j40]Yuri Feigin, Hedva Spitzer, Raja Giryes:
Cluster with GANs. Comput. Vis. Image Underst. 225: 103571 (2022) - [j39]Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein:
Baby steps towards few-shot learning with multiple semantics. Pattern Recognit. Lett. 160: 142-147 (2022) - [j38]Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes:
A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels. IEEE Trans. Medical Imaging 41(12): 3509-3519 (2022) - [j37]Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
SPAGHETTI: editing implicit shapes through part aware generation. ACM Trans. Graph. 41(4): 106:1-106:20 (2022) - [c51]Oshrat Bar, Amnon Drory, Raja Giryes:
A Spectral Perspective of DNN Robustness to Label Noise. AISTATS 2022: 3732-3752 - [c50]Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky:
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR 2022: 5270-5280 - [c49]Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or:
FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction. ECCV (33) 2022: 176-196 - [c48]Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
NeuralMLS: Geometry-Aware Control Point Deformation. Eurographics (Short Papers) 2022: 65-68 - [c47]Shady Abu Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes:
Image Restoration by Deep Projected GSURE. WACV 2022: 91-100 - [i105]Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
DeepMLS: Geometry-Aware Control Point Deformation. CoRR abs/2201.01873 (2022) - [i104]Thomas Zacharias, Ashutosh Taklikar, Raja Giryes:
Extending the Vocabulary of Fictional Languages using Neural Networks. CoRR abs/2201.07288 (2022) - [i103]Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation. CoRR abs/2201.13168 (2022) - [i102]Gilad Cohen, Raja Giryes:
Generative Adversarial Networks. CoRR abs/2203.00667 (2022) - [i101]Amnon Drory, Shai Avidan, Raja Giryes:
Stress-Testing LiDAR Registration. CoRR abs/2204.07719 (2022) - [i100]Shahaf Ettedgui, Shady Abu Hussein, Raja Giryes:
ProCST: Boosting Semantic Segmentation using Progressive Cyclic Style-Transfer. CoRR abs/2204.11891 (2022) - [i99]Gilad Cohen, Raja Giryes:
Membership Inference Attack Using Self Influence Functions. CoRR abs/2205.13680 (2022) - [i98]Amit Henig, Raja Giryes:
Utilizing Excess Resources in Training Neural Networks. CoRR abs/2207.05532 (2022) - [i97]Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr:
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images. CoRR abs/2208.14125 (2022) - [i96]Edo Cohen-Karlik, Itamar Menuhin-Gruman, Nadav Cohen, Raja Giryes, Amir Globerson:
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network. CoRR abs/2210.14064 (2022) - [i95]Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or:
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. CoRR abs/2211.07600 (2022) - [i94]Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky:
Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR abs/2211.11733 (2022) - [i93]Nimrod Shabtay, Eli Schwartz, Raja Giryes:
PIP: Positional-encoding Image Prior. CoRR abs/2211.14298 (2022) - [i92]Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes:
MAEDAY: MAE for few and zero shot AnomalY-Detection. CoRR abs/2211.14307 (2022) - [i91]Shady Abu Hussein, Tom Tirer, Raja Giryes:
ADIR: Adaptive Diffusion for Image Reconstruction. CoRR abs/2212.03221 (2022) - 2021
- [j36]Dana Weitzner, Raja Giryes:
Separable Joint Blind Deconvolution and Demixing. IEEE J. Sel. Top. Signal Process. 15(3): 657-671 (2021) - [j35]Sivan Doveh, Raja Giryes:
DEGAS: differentiable efficient generator search. Neural Comput. Appl. 33(24): 17173-17184 (2021) - [j34]Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky:
MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognit. Lett. 149: 130-136 (2021) - [j33]Noa Barzilay, Tal Berkovitz Shalev, Raja Giryes:
MISS GAN: A Multi-IlluStrator style generative adversarial network for image to illustration translation. Pattern Recognit. Lett. 151: 140-147 (2021) - [j32]Tom Tirer, Raja Giryes:
On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective. SIAM J. Imaging Sci. 14(4): 1504-1531 (2021) - [j31]Yotam Gil, Shay Elmalem, Harel Haim, Emanuel Marom, Raja Giryes:
Online Training of Stereo Self-Calibration Using Monocular Depth Estimation. IEEE Trans. Computational Imaging 7: 812-823 (2021) - [j30]Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or:
Orienting point clouds with dipole propagation. ACM Trans. Graph. 40(4): 165:1-165:14 (2021) - [j29]Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Self-Sampling for Neural Point Cloud Consolidation. ACM Trans. Graph. 40(5): 191:1-191:14 (2021) - [c46]Itan Hezroni, Amnon Drory, Raja Giryes, Shai Avidan:
DeepBBS: Deep Best Buddies for Point Cloud Registration. 3DV 2021: 342-351 - [c45]Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes:
StarNet: towards Weakly Supervised Few-Shot Object Detection. AAAI 2021: 1743-1753 - [c44]Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky:
Fine-Grained Angular Contrastive Learning With Coarse Labels. CVPR 2021: 8730-8740 - [c43]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. ICCV 2021: 1781-1792 - [c42]Einav Yogev-Ofer, Tom Tirer, Raja Giryes:
An Interpretation Of Regularization By Denoising And Its Application With The Back-Projected Fidelity Term. ICIP 2021: 1649-1653 - [c41]Tom Tirer, Joan Bruna, Raja Giryes:
Kernel-Based Smoothness Analysis of Residual Networks. MSML 2021: 921-954 - [c40]Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization. NeurIPS 2021: 8820-8832 - [i90]Eli Schwartz, Alex M. Bronstein, Raja Giryes:
ISP Distillation. CoRR abs/2101.10203 (2021) - [i89]Einav Yogev-Ofer, Tom Tirer, Raja Giryes:
An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term. CoRR abs/2101.11599 (2021) - [i88]Shady Abu Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes:
Image Restoration by Deep Projected GSURE. CoRR abs/2102.02485 (2021) - [i87]Noga Bar, Tomer Koren, Raja Giryes:
Multiplicative Reweighting for Robust Neural Network Optimization. CoRR abs/2102.12192 (2021) - [i86]Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
Progressive Encoding for Neural Optimization. CoRR abs/2104.09125 (2021) - [i85]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. CoRR abs/2104.09829 (2021) - [i84]Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or:
Orienting Point Clouds with Dipole Propagation. CoRR abs/2105.01604 (2021) - [i83]Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or:
FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction. CoRR abs/2105.01937 (2021) - [i82]Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, Daniel Cohen-Or:
Z2P: Instant Rendering of Point Clouds. CoRR abs/2105.14548 (2021) - [i81]Noa Barzilay, Tal Berkovitz Shalev, Raja Giryes:
MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation. CoRR abs/2108.05693 (2021) - [i80]Gilad Cohen, Raja Giryes:
KATANA: Simple Post-Training Robustness Using Test Time Augmentations. CoRR abs/2109.08191 (2021) - [i79]Itan Hezroni, Amnon Drory, Raja Giryes, Shai Avidan:
DeepBBS: Deep Best Buddies for Point Cloud Registration. CoRR abs/2110.03016 (2021) - [i78]Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
Mesh Draping: Parametrization-Free Neural Mesh Transfer. CoRR abs/2110.05433 (2021) - [i77]Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky:
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR abs/2112.02300 (2021) - [i76]Erez Yosef, Shay Elmalem, Raja Giryes:
Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding. CoRR abs/2112.14768 (2021) - 2020
- [j28]Tom Tirer, Raja Giryes:
Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems. IEEE Trans. Image Process. 29: 6164-6179 (2020) - [j27]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Deep geometric texture synthesis. ACM Trans. Graph. 39(4): 108 (2020) - [j26]Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
Point2Mesh: a self-prior for deformable meshes. ACM Trans. Graph. 39(4): 126 (2020) - [j25]Raja Giryes, Guillermo Sapiro, Alex M. Bronstein:
Corrections to "Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?". IEEE Trans. Signal Process. 68: 529-531 (2020) - [j24]Guy Leibovitz, Raja Giryes:
Efficient Least Residual Greedy Algorithms for Sparse Recovery. IEEE Trans. Signal Process. 68: 3707-3722 (2020) - [c39]Shady Abu Hussein, Tom Tirer, Raja Giryes:
Image-Adaptive GAN Based Reconstruction. AAAI 2020: 3121-3129 - [c38]Amnon Drory, Tal Shomer, Shai Avidan, Raja Giryes:
Best Buddies Registration for Point Clouds. ACCV (1) 2020: 314-329 - [c37]Tal Perl, Sriram Chaudhury, Raja Giryes:
Low Resource Sequence Tagging using Sentence Reconstruction. ACL 2020: 2692-2698 - [c36]Asaf Noy, Niv Nayman, Tal Ridnik, Nadav Zamir, Sivan Doveh, Itamar Friedman, Raja Giryes, Lihi Zelnik:
ASAP: Architecture Search, Anneal and Prune. AISTATS 2020: 493-503 - [c35]Dor Bank, Raja Giryes:
An ETF view of Dropout regularization. BMVC 2020 - [c34]Shachar Ben Dayan, David Mendlovic, Raja Giryes:
Deep Sparse Light Field Refocusing. BMVC 2020 - [c33]Amnon Drory, Oria Ratzon, Shai Avidan, Raja Giryes:
The Resistance to Label Noise in K-NN and DNN Depends on its Concentration. BMVC 2020 - [c32]Shady Abu Hussein, Tom Tirer, Raja Giryes:
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. CVPR 2020: 1425-1434 - [c31]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
PointGMM: A Neural GMM Network for Point Clouds. CVPR 2020: 12051-12060 - [c30]Gilad Cohen, Guillermo Sapiro, Raja Giryes:
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. CVPR 2020: 14441-14450 - [c29]Moshe Lichtenstein, Prasanna Sattigeri, Rogério Feris, Raja Giryes, Leonid Karlinsky:
TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification. ECCV (7) 2020: 522-539 - [c28]Roee Levy Leshem, Raja Giryes:
Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data. EUSIPCO 2020: 391-395 - [c27]Jenny Zukerman, Tom Tirer, Raja Giryes:
BP-DIP: A Backprojection based Deep Image Prior. EUSIPCO 2020: 675-679 - [c26]Shakarim Soltanayev, Raja Giryes, Se Young Chun, Yonina C. Eldar:
On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator. ICASSP 2020: 3592-3596 - [c25]Dana Weitzner, Raja Giryes:
Separable Optimization for Joint Blind Deconvolution and Demixing. ICASSP 2020: 5989-5993 - [c24]Dana Weitzner, David Mendlovic, Raja Giryes:
Face Authentication From Grayscale Coded Light Field. ICIP 2020: 2611-2615 - [c23]Yoav Chai, Raja Giryes, Lior Wolf:
Supervised and Unsupervised Learning of Parameterized Color Enhancement. WACV 2020: 981-989 - [i75]Yoav Chai, Raja Giryes, Lior Wolf:
Supervised and Unsupervised Learning of Parameterized Color Enhancement. CoRR abs/2001.05843 (2020) - [i74]Shay Elmalem, Raja Giryes, Emanuel Marom:
Motion Deblurring using Spatiotemporal Phase Aperture Coding. CoRR abs/2002.07483 (2020) - [i73]Lihi Shiloh-Perl, Raja Giryes:
Introduction to deep learning. CoRR abs/2003.03253 (2020) - [i72]Jenny Zukerman, Tom Tirer, Raja Giryes:
BP-DIP: A Backprojection based Deep Image Prior. CoRR abs/2003.05417 (2020) - [i71]Dor Bank, Noam Koenigstein, Raja Giryes:
Autoencoders. CoRR abs/2003.05991 (2020) - [i70]Moshe Lichtenstein, Prasanna Sattigeri, Rogério Schmidt Feris, Raja Giryes, Leonid Karlinsky:
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification. CoRR abs/2003.06670 (2020) - [i69]Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes:
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. CoRR abs/2003.06798 (2020) - [i68]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
PointGMM: a Neural GMM Network for Point Clouds. CoRR abs/2003.13326 (2020) - [i67]Guy Leibovitz, Raja Giryes:
Efficient Least Residual Greedy Algorithms for Sparse Recovery. CoRR abs/2004.06661 (2020) - [i66]Raja Giryes:
A function space analysis of finite neural networks with insights from sampling theory. CoRR abs/2004.06989 (2020) - [i65]Tom Tirer, Raja Giryes:
On the Convergence Rate of Projected Gradient Descent for a Back-Projection based Objective. CoRR abs/2005.00959 (2020) - [i64]Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
Point2Mesh: A Self-Prior for Deformable Meshes. CoRR abs/2005.11084 (2020) - [i63]Dana Weitzner, David Mendlovic, Raja Giryes:
Face Authentication from Grayscale Coded Light Field. CoRR abs/2006.00473 (2020) - [i62]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Deep Geometric Texture Synthesis. CoRR abs/2007.00074 (2020) - [i61]Sapir Kaplan, Raja Giryes:
Self-supervised Neural Architecture Search. CoRR abs/2007.01500 (2020) - [i60]Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Self-Sampling for Neural Point Cloud Consolidation. CoRR abs/2008.06471 (2020) - [i59]Shachar Ben Dayan, David Mendlovic, Raja Giryes:
Deep Sparse Light Field Refocusing. CoRR abs/2009.02582 (2020) - [i58]Tom Tirer, Joan Bruna, Raja Giryes:
Kernel-Based Smoothness Analysis of Residual Networks. CoRR abs/2009.10008 (2020) - [i57]Amnon Drory, Tal Shomer, Shai Avidan, Raja Giryes:
Best Buddies Registration for Point Clouds. CoRR abs/2010.01912 (2020) - [i56]Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky:
Fine-grained Angular Contrastive Learning with Coarse Labels. CoRR abs/2012.03515 (2020) - [i55]Yuri Feigin, Hedva Spitzer, Raja Giryes:
GMM-Based Generative Adversarial Encoder Learning. CoRR abs/2012.04525 (2020)
2010 – 2019
- 2019
- [j23]Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked:
TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set. Medical Image Anal. 57: 176-185 (2019) - [j22]Elad Plaut, Raja Giryes:
A Greedy Approach to ℓ0, ∞-Based Convolutional Sparse Coding. SIAM J. Imaging Sci. 12(1): 186-210 (2019) - [j21]Tom Tirer, Raja Giryes:
Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning. IEEE Signal Process. Lett. 26(7): 1080-1084 (2019) - [j20]Eli Schwartz, Raja Giryes, Alexander M. Bronstein:
DeepISP: Toward Learning an End-to-End Image Processing Pipeline. IEEE Trans. Image Process. 28(2): 912-923 (2019) - [j19]Tom Tirer, Raja Giryes:
Image Restoration by Iterative Denoising and Backward Projections. IEEE Trans. Image Process. 28(3): 1220-1234 (2019) - [j18]Chaim Baskin, Natan Liss, Eli Schwartz, Evgenii Zheltonozhskii, Raja Giryes, Alex M. Bronstein, Avi Mendelson:
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks. ACM Trans. Comput. Syst. 37(1-4): 4:1-4:15 (2019) - [j17]Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or:
ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning. ACM Trans. Graph. 38(1): 1:1-1:14 (2019) - [j16]Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or:
MeshCNN: a network with an edge. ACM Trans. Graph. 38(4): 90:1-90:12 (2019) - [c22]Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. CVPR 2019: 5197-5206 - [c21]Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. CVPR 2019: 6548-6557 - [c20]Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Blind Visual Motif Removal From a Single Image. CVPR 2019: 6858-6867 - [c19]Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes:
Lautum Regularization for Semi-Supervised Transfer Learning. ICCV Workshops 2019: 763-767 - [i54]Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations networks for multi-label few-shot learning. CoRR abs/1902.09811 (2019) - [i53]Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes:
Lautum Regularization for Semi-supervised Transfer Learning. CoRR abs/1904.01670 (2019) - [i52]Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Blind Visual Motif Removal from a Single Image. CoRR abs/1904.02756 (2019) - [i51]Roee Levy Leshem, Raja Giryes:
Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data. CoRR abs/1904.03522 (2019) - [i50]