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ORCIDRaja Giryes
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2020 – today
- 2025
[j50]Nir Yellinek, Leonid Karlinsky, Raja Giryes:
3VL: Using Trees to Improve Vision-Language Models' Interpretability. IEEE Trans. Image Process. 34: 495-509 (2025)- [i143]Noga Bar, Raja Giryes:
ZOQO: Zero-Order Quantized Optimization. CoRR abs/2501.06736 (2025) - 2024
- [j49]Alexandre Binninger
, Amir Hertz, Olga Sorkine-Hornung, Daniel Cohen-Or, Raja Giryes:
SENS: Part-Aware Sketch-based Implicit Neural Shape Modeling. Comput. Graph. Forum 43(2): i-iii (2024) - [j48]Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes:
MAEDAY: MAE for few- and zero-shot AnomalY-Detection. Comput. Vis. Image Underst. 241: 103958 (2024) - [j47]Tom Tirer, Raja Giryes, Se Young Chun, Yonina C. Eldar:
Deep Internal Learning: Deep learning from a single input. IEEE Signal Process. Mag. 41(4): 40-57 (2024) - [c76]Moran Yanuka, Morris Alper, Hadar Averbuch-Elor, Raja Giryes:
ICC : Quantifying Image Caption Concreteness for Multimodal Dataset Curation. ACL (Findings) 2024: 11048-11064 - [c75]Rajaei Khatib, Raja Giryes:
TriNeRFLet: A Wavelet Based Triplane NeRF Representation. ECCV (79) 2024: 358-374 - [c74]Assaf Ben-Kish, Moran Yanuka, Morris Alper, Raja Giryes, Hadar Averbuch-Elor:
Mitigating Open-Vocabulary Caption Hallucinations. EMNLP 2024: 22680-22698 - [c73]Nimrod Shabtay, Eli Schwartz, Raja Giryes:
Deep Phase Coded Image Prior. ICCP 2024: 1-12 - [c72]Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen:
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. ICML 2024 - [c71]Michael Eli Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré:
How do Transformers Perform In-Context Autoregressive Learning ? ICML 2024 - [c70]Lev Ayzenberg, Raja Giryes, Hayit Greenspan:
DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation. ISBI 2024: 1-5 - [c69]Shady Abu-Hussein, Raja Giryes:
UDPM: Upsampling Diffusion Probabilistic Models. NeurIPS 2024 - [c68]Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen:
Provable Benefits of Complex Parameterizations for Structured State Space Models. NeurIPS 2024 - [c67]Gilad Cohen, Raja Giryes:
Simple Post-Training Robustness using Test Time Augmentations and Random Forest. WACV 2024: 3984-3994 - [c66]Gilad Cohen, Raja Giryes:
Membership Inference Attack Using Self Influence Functions. WACV 2024: 4880-4889 - [i142]Rajaei Khatib, Raja Giryes:
TriNeRFLet: A Wavelet Based Multiscale Triplane NeRF Representation. CoRR abs/2401.06191 (2024) - [i141]Michael E. Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré:
How do Transformers perform In-Context Autoregressive Learning? CoRR abs/2402.05787 (2024) - [i140]Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen:
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. CoRR abs/2402.07875 (2024) - [i139]Moran Yanuka, Morris Alper, Hadar Averbuch-Elor, Raja Giryes:
ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation. CoRR abs/2403.01306 (2024) - [i138]Lev Ayzenberg, Raja Giryes, Hayit Greenspan:
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation. CoRR abs/2403.03273 (2024) - [i137]Nimrod Shabtay, Eli Schwartz, Raja Giryes:
Deep Phase Coded Image Prior. CoRR abs/2404.03906 (2024) - [i136]Raja Giryes, Lior Shafir, Avishai Wool:
A Flow is a Stream of Packets: A Stream-Structured Data Approach for DDoS Detection. CoRR abs/2405.07232 (2024) - [i135]Noga Bar, Raja Giryes:
Effective Subset Selection Through The Lens of Neural Network Pruning. CoRR abs/2406.01086 (2024) - [i134]Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky:
Comparison Visual Instruction Tuning. CoRR abs/2406.09240 (2024) - [i133]Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes:
DeciMamba: Exploring the Length Extrapolation Potential of Mamba. CoRR abs/2406.14528 (2024) - [i132]Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan:
X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning. CoRR abs/2406.16109 (2024) - [i131]Lev Ayzenberg, Raja Giryes, Hayit Greenspan:
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models. CoRR abs/2407.07042 (2024) - [i130]Erez Yosef, Raja Giryes:
DifuzCam: Replacing Camera Lens with a Mask and a Diffusion Model. CoRR abs/2408.07541 (2024) - [i129]Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes:
LiveXiv - A Multi-Modal Live Benchmark Based on Arxiv Papers Content. CoRR abs/2410.10783 (2024) - [i128]Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen:
Provable Benefits of Complex Parameterizations for Structured State Space Models. CoRR abs/2410.14067 (2024) - [i127]Dana Weitzner, Mauricio Delbracio, Peyman Milanfar, Raja Giryes:
On the Relation Between Linear Diffusion and Power Iteration. CoRR abs/2410.14730 (2024) - [i126]Moran Yanuka, Assaf Ben-Kish, Yonatan Bitton, Idan Szpektor, Raja Giryes:
Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions. CoRR abs/2411.09018 (2024) - [i125]Sivan Doveh, Nimrod Shabtay, Wei Lin, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogério Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza:
Teaching VLMs to Localize Specific Objects from In-context Examples. CoRR abs/2411.13317 (2024) - [i124]Ido Cohen, Daniela Gottesman, Mor Geva, Raja Giryes:
Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models. CoRR abs/2412.14133 (2024) - 2023
- [j46]Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
Mesh Draping: Parametrization-Free Neural Mesh Transfer. Comput. Graph. Forum 42(1): 72-85 (2023) - [j45]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) - [j44]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) - [j43]Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye:
Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 40(2): 13-15 (2023) - [c65]Tal Shaharabany, Aviad Dahan, Raja Giryes, Lior Wolf:
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder. BMVC 2023: 530-533 - [c64]Yoav Kurtz, Noga Bar, Raja Giryes:
Group Orthogonalization Regularization for Vision Models Adaptation and Robustness. BMVC 2023: 912- - [c63]Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky:
Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR 2023: 2657-2668 - [c62]Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or:
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. CVPR 2023: 12663-12673 - [c61]Dana Cohen-Bar, Elad Richardson, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes. ICCV (Workshops) 2023: 2912-2921 - [c60]Edo Cohen-Karlik, Itamar Menuhin-Gruman, Raja Giryes, Nadav Cohen, Amir Globerson:
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets. ICLR 2023 - [c59]Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr:
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images. ISBI 2023: 1-5 - [c58]Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel:
Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. CaPTion@MICCAI 2023: 55-67 - [c57]Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky:
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS 2023 - [c56]Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou:
Neural (Tangent Kernel) Collapse. NeurIPS 2023 - [c55]Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or:
TEXTure: Text-Guided Texturing of 3D Shapes. SIGGRAPH (Conference Paper Track) 2023: 54:1-54:11 - [i123]Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or:
TEXTure: Text-Guided Texturing of 3D Shapes. CoRR abs/2302.01721 (2023) - [i122]Dana Cohen-Bar, Elad Richardson, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes. CoRR abs/2303.13450 (2023) - [i121]Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, Youngjin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li:
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. CoRR abs/2303.14828 (2023) - [i120]Shady Abu-Hussein, Raja Giryes:
UDPM: Upsampling Diffusion Probabilistic Models. CoRR abs/2305.16269 (2023) - [i119]Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou:
Neural (Tangent Kernel) Collapse. CoRR abs/2305.16427 (2023) - [i118]Noga Bar, Raja Giryes:
Pruning at Initialization - A Sketching Perspective. CoRR abs/2305.17559 (2023) - [i117]Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky:
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR abs/2305.19595 (2023) - [i116]Alexandre Binninger, Amir Hertz, Olga Sorkine-Hornung, Daniel Cohen-Or, Raja Giryes:
SENS: Sketch-based Implicit Neural Shape Modeling. CoRR abs/2306.06088 (2023) - [i115]Tal Shaharabany, Aviad Dahan, Raja Giryes, Lior Wolf:
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder. CoRR abs/2306.06370 (2023) - [i114]Daniel Jakubovitz, David Uliel, Miguel R. D. Rodrigues, Raja Giryes:
An information-Theoretic Approach to Semi-supervised Transfer Learning. CoRR abs/2306.06731 (2023) - [i113]Maayan Yaary, Uriel Barron, Luis Pascual Domínguez, Boping Chen, Liron Barak, Erez Etzion, Raja Giryes:
Comparing machine learning models for tau triggers. CoRR abs/2306.06743 (2023) - [i112]Yoav Kurtz, Noga Bar, Raja Giryes:
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness. CoRR abs/2306.10001 (2023) - [i111]Dana Weitzner, Raja Giryes:
On The Relationship Between Universal Adversarial Attacks And Sparse Representations. CoRR abs/2311.08265 (2023) - [i110]Assaf Ben-Kish, Moran Yanuka, Morris Alper, Raja Giryes, Hadar Averbuch-Elor:
MOCHa: Multi-Objective Reinforcement Mitigating Caption Hallucinations. CoRR abs/2312.03631 (2023) - [i109]Tom Tirer, Raja Giryes, Se Young Chun, Yonina C. Eldar:
Deep Internal Learning: Deep Learning from a Single Input. CoRR abs/2312.07425 (2023) - [i108]Erez Yosef, Raja Giryes:
Tell Me What You See: Text-Guided Real-World Image Denoising. CoRR abs/2312.10191 (2023) - [i107]Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes:
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels. CoRR abs/2312.15972 (2023) - [i106]Nir Yellinek, Leonid Karlinsky, Raja Giryes:
3VL: using Trees to teach Vision & Language models compositional concepts. CoRR abs/2312.17345 (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) - [c54]Oshrat Bar, Amnon Drory, Raja Giryes:
A Spectral Perspective of DNN Robustness to Label Noise. AISTATS 2022: 3732-3752 - [c53]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 - [c52]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 - [c51]Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
NeuralMLS: Geometry-Aware Control Point Deformation. Eurographics (Short Papers) 2022: 65-68 - [c50]Amit Henig, Raja Giryes:
Utilizing Excess Resources in Training Neural Networks. ICIP 2022: 1941-1945 - [c49]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) - [c48]Itan Hezroni, Amnon Drory, Raja Giryes, Shai Avidan:
DeepBBS: Deep Best Buddies for Point Cloud Registration. 3DV 2021: 342-351 - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]Dana Cohen Hochberg, Raja Giryes, Hayit Greenspan:
Style encoding for class-specific image generation. Image Processing 2021 - [c42]Tom Tirer, Joan Bruna, Raja Giryes:
Kernel-Based Smoothness Analysis of Residual Networks. MSML 2021: 921-954 - [c41]Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, YoungJin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li:
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. NeurIPS (Competition and Demos) 2021: 104-118 - [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]Asaf Noy, Niv Nayman, Tal Ridnik, Nadav Zamir, Sivan Doveh, Itamar Friedman, Raja Giryes, Lihi Zelnik-Manor:
ASAP: Architecture Search, Anneal and Prune. CoRR abs/1904.04123 (2019) - [i49]Eli Schwartz, Leonid Karlinsky, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
Baby steps towards few-shot learning with multiple semantics. CoRR abs/1906.01905 (2019) - [i48]Shady Abu Hussein, Tom Tirer, Raja Giryes:
Image-Adaptive GAN based Reconstruction. CoRR abs/1906.05284 (2019) - [i47]Tom Tirer, Raja Giryes:
Back-Projection based Fidelity Term for Ill-Posed Linear Inverse Problems. CoRR abs/1906.06794 (2019) - [i46]Daniel Brodeski, Igal Bilik, Raja Giryes:
Deep Radar Detector. CoRR abs/1906.12187 (2019) - [i45]Gilad Cohen, Guillermo Sapiro, Raja Giryes:
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. CoRR abs/1909.06872 (2019) - [i44]Yotam Gil, Shay Elmalem, Harel Haim, Emanuel Marom, Raja Giryes:
MonSter: Awakening the Mono in Stereo. CoRR abs/1910.13708 (2019) - [i43]Shady Abu Hussein, Tom Tirer, Raja Giryes:
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. CoRR abs/1912.00157 (2019) - [i42]Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky:
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification. CoRR abs/1912.00412 (2019) - [i41]Sivan Doveh, Raja Giryes:
DEGAS: Differentiable Efficient Generator Search. CoRR abs/1912.00606 (2019) - 2018
- [j15]Harel Haim, Shay Elmalem, Raja Giryes, Alexander M. Bronstein, Emanuel Marom:
Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask. IEEE Trans. Computational Imaging 4(3): 298-310 (2018) - [j14]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Class-Aware Fully Convolutional Gaussian and Poisson Denoising. IEEE Trans. Image Process. 27(11): 5707-5722 (2018) - [j13]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems. IEEE Trans. Signal Process. 66(7): 1676-1690 (2018) - [c18]Daniel Jakubovitz, Raja Giryes:
Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization. ECCV (12) 2018: 525-541 - [c17]Tom Tirer, Raja Giryes:
Task-Driven Dictionary Learning based on Convolutional Neural Network Features. EUSIPCO 2018: 1885-1889 - [c16]Hillel Sreter, Raja Giryes:
Learned Convolutional Sparse Coding. ICASSP 2018: 2191-2195 - [c15]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
The Learned Inexact Project Gradient Descent Algorithm. ICASSP 2018: 6767-6771 - [c14]Elad Plaut, Raja Giryes:
Matching Pursuit Based Convolutional Sparse Coding. ICASSP 2018: 6847-6851 - [c13]Ofir Nabati, David Mendlovic, Raja Giryes:
Fast and accurate reconstruction of compressed color light field. ICCP 2018: 1-11 - [c12]Tom Tirer, Raja Giryes:
An Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring. ICIP 2018: 973-977 - [c11]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
Delta-encoder: an effective sample synthesis method for few-shot object recognition. NeurIPS 2018: 2850-2860 - [i40]Eli Schwartz, Raja Giryes, Alexander M. Bronstein:
DeepISP: Learning End-to-End Image Processing Pipeline. CoRR abs/1801.06724 (2018) - [i39]Ofir Nabati, David Mendlovic, Raja Giryes:
Fast and Accurate Reconstruction of Compressed Color Light Field. CoRR abs/1801.10351 (2018) - [i38]Daniel Jakubovitz, Raja Giryes:
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization. CoRR abs/1803.08680 (2018) - [i37]Amnon Drory, Shai Avidan, Raja Giryes:
On the Resistance of Neural Nets to Label Noise. CoRR abs/1803.11410 (2018) - [i36]Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or:
ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning. CoRR abs/1804.08497 (2018) - [i35]Chaim Baskin, Eli Schwartz, Evgenii Zheltonozhskii, Natan Liss, Raja Giryes, Alexander M. Bronstein, Avi Mendelson:
UNIQ: Uniform Noise Injection for the Quantization of Neural Networks. CoRR abs/1804.10969 (2018) - [i34]Gilad Cohen, Guillermo Sapiro, Raja Giryes:
DNN or k-NN: That is the Generalize vs. Memorize Question. CoRR abs/1805.06822 (2018) - [i33]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-based metric learning for classification and one-shot object detection. CoRR abs/1806.04728 (2018) - [i32]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
Delta-encoder: an effective sample synthesis method for few-shot object recognition. CoRR abs/1806.04734 (2018) - [i31]Tal Levy, Alireza Vahid, Raja Giryes:
Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion. CoRR abs/1806.05419 (2018) - [i30]Daniel Jakubovitz, Raja Giryes, Miguel R. D. Rodrigues:
Generalization Error in Deep Learning. CoRR abs/1808.01174 (2018) - [i29]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising. CoRR abs/1808.06562 (2018) - [i28]Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or:
MeshCNN: A Network with an Edge. CoRR abs/1809.05910 (2018) - [i27]Chaim Baskin, Natan Liss, Yoav Chai, Evgenii Zheltonozhskii, Eli Schwartz, Raja Giryes, Avi Mendelson, Alexander M. Bronstein:
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. CoRR abs/1810.00162 (2018) - [i26]Dor Bank, Raja Giryes:
On the relationship between Dropout and Equiangular Tight Frames. CoRR abs/1810.06049 (2018) - [i25]Natan Liss, Chaim Baskin, Avi Mendelson, Alexander M. Bronstein, Raja Giryes:
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware. CoRR abs/1811.10869 (2018) - [i24]Tom Tirer, Raja Giryes:
Super-Resolution based on Image-Adapted CNN Denoisers: Incorporating Generalization of Training Data and Internal Learning in Test Time. CoRR abs/1811.12866 (2018) - [i23]Elad Plaut, Raja Giryes:
A Greedy Approach to 𝓁0, ∞ Based Convolutional Sparse Coding. CoRR abs/1812.10538 (2018) - [i22]Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked:
TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set. CoRR abs/1812.11006 (2018) - 2017
- [j12]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Robust Large Margin Deep Neural Networks. IEEE Trans. Signal Process. 65(16): 4265-4280 (2017) - [c10]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Generalization Error of Invariant Classifiers. AISTATS 2017: 1094-1103 - [c9]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep class-aware image denoising. ICIP 2017: 1895-1899 - [c8]Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes:
White Matter Fiber Representation Using Continuous Dictionary Learning. MICCAI (1) 2017: 566-574 - [i21]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep Convolutional Denoising of Low-Light Images. CoRR abs/1701.01687 (2017) - [i20]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep Class Aware Denoising. CoRR abs/1701.01698 (2017) - [i19]Tom Tirer, Raja Giryes:
Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces. CoRR abs/1703.01920 (2017) - [i18]Tom Tirer, Raja Giryes:
Image Restoration by Iterative Denoising and Backward Projections. CoRR abs/1710.06647 (2017) - [i17]René Vidal, Joan Bruna, Raja Giryes, Stefano Soatto:
Mathematics of Deep Learning. CoRR abs/1712.04741 (2017) - 2016
- [j11]Raja Giryes:
A greedy algorithm for the analysis transform domain. Neurocomputing 173: 278-289 (2016) - [j10]Arie Rond, Raja Giryes, Michael Elad:
Poisson inverse problems by the Plug-and-Play scheme. J. Vis. Commun. Image Represent. 41: 96-108 (2016) - [j9]Yehuda Dar, Alfred M. Bruckstein, Michael Elad, Raja Giryes:
Postprocessing of Compressed Images via Sequential Denoising. IEEE Trans. Image Process. 25(7): 3044-3058 (2016) - [j8]Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein:
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? IEEE Trans. Signal Process. 64(13): 3444-3457 (2016) - [i16]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Margin Preservation of Deep Neural Networks. CoRR abs/1605.08254 (2016) - [i15]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems. CoRR abs/1605.09232 (2016) - [i14]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Generalization Error of Invariant Classifiers. CoRR abs/1610.04574 (2016) - 2015
- [j7]Raja Giryes, Deanna Needell:
Near oracle performance and block analysis of signal space greedy methods. J. Approx. Theory 194: 157-174 (2015) - [j6]Raja Giryes, Michael Elad, Alfred M. Bruckstein:
Sparsity Based Methods for Overparameterized Variational Problems. SIAM J. Imaging Sci. 8(3): 2133-2159 (2015) - [j5]Raja Giryes, Yaniv Plan, Roman Vershynin:
On the Effective Measure of Dimension in the Analysis Cosparse Model. IEEE Trans. Inf. Theory 61(10): 5745-5753 (2015) - [c7]Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein:
On the Stability of Deep Networks. ICLR (Workshop) 2015 - [i13]Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein:
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? CoRR abs/1504.08291 (2015) - [i12]Yehuda Dar, Alfred M. Bruckstein, Michael Elad, Raja Giryes:
Postprocessing of Compressed Images via Sequential Denoising. CoRR abs/1510.09041 (2015) - [i11]Arie Rond, Raja Giryes, Michael Elad:
Poisson Inverse Problems by the Plug-and-Play scheme. CoRR abs/1511.02500 (2015) - 2014
- [b1]Raja Giryes:
Sparsity models for signals: theory and applications. Technion - Israel Institute of Technology, Israel, 2014 - [j4]Raja Giryes, Michael Elad:
Sparsity-Based Poisson Denoising With Dictionary Learning. IEEE Trans. Image Process. 23(12): 5057-5069 (2014) - [c6]Raja Giryes, Michael Elad:
Sparsity based poisson inpainting. ICIP 2014: 2839-2843 - [i10]Raja Giryes, Deanna Needell:
Near Oracle Performance of Signal Space Greedy Methods. CoRR abs/1402.2601 (2014) - [i9]Raja Giryes, Michael Elad, Alfred M. Bruckstein:
Sparsity Based Methods for Overparametrized Variational Problems. CoRR abs/1405.4969 (2014) - [i8]Raja Giryes, Yaniv Plan, Roman Vershynin:
On the Effective Measure of Dimension in the Analysis Cosparse Model. CoRR abs/1410.0989 (2014) - [i7]Raja Giryes:
Sampling in the Analysis Transform Domain. CoRR abs/1410.6558 (2014) - 2013
- [c5]Raja Giryes, Michael Elad:
Can we allow linear dependencies in the dictionary in the sparse synthesis framework? ICASSP 2013: 5459-5463 - [i6]Raja Giryes, Michael Elad:
Can we allow linear dependencies in the dictionary in the sparse synthesis framework? CoRR abs/1303.5655 (2013) - [i5]Raja Giryes, Deanna Needell:
Greedy Signal Space Methods for incoherence and beyond. CoRR abs/1309.2676 (2013) - [i4]Raja Giryes, Michael Elad:
Sparsity Based Poisson Denoising with Dictionary Learning. CoRR abs/1309.4306 (2013) - [i3]Raja Giryes:
Greedy Algorithm for the Analysis Transform Domain. CoRR abs/1309.7298 (2013) - 2012
- [j3]Alfred M. Bruckstein, Tuvi Etzion, Raja Giryes, Noam Gordon, Robert J. Holt, Doron Shuldiner:
Simple and Robust Binary Self-Location Patterns. IEEE Trans. Inf. Theory 58(7): 4884-4889 (2012) - [j2]Raja Giryes, Michael Elad:
RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT. IEEE Trans. Signal Process. 60(3): 1465-1468 (2012) - [c4]Raja Giryes, Michael Elad:
Cosamp and SP for the cosparse analysis model. EUSIPCO 2012: 964-968 - 2011
- [c3]Raja Giryes, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Iterative cosparse projection algorithms for the recovery of cosparse vectors. EUSIPCO 2011: 1460-1464 - [c2]Raja Giryes, Michael Elad:
Denoising with greedy-like pursuit algorithms. EUSIPCO 2011: 1475-1479 - [c1]Raja Giryes, Volkan Cevher:
Online performance guarantees for sparse recovery. ICASSP 2011: 2020-2023 - [i2]Alfred M. Bruckstein, Tuvi Etzion, Raja Giryes, Noam Gordon, Robert J. Holt, Doron Shuldiner:
Simple and Robust Binary Self-Location Patterns. CoRR abs/1112.4253 (2011) - 2010
- [j1]Michael Elad, Raja Giryes:
Iterative signal recovery from incomplete samples: technical perspective. Commun. ACM 53(12): 92 (2010) - [i1]Raja Giryes, Michael Elad, Yonina C. Eldar:
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods. CoRR abs/1003.3985 (2010)
Coauthor Index
Shady Abu-Hussein
aka: Shady Abu Hussein
aka: Shady Abu Hussein
Alexander M. Bronstein
aka: Alex M. Bronstein
aka: Alex M. Bronstein
Rogério Feris
aka: Rogério Schmidt Feris
aka: Rogério Schmidt Feris
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last updated on 2025-02-20 19:49 CET by the dblp team
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