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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)- [c80]Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes:
DeciMamba: Exploring the Length Extrapolation Potential of Mamba. ICLR 2025 - [c79]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. ICLR 2025 - [c78]Moran Yanuka, Assaf Ben-Kish, Yonatan Bitton, Idan Szpektor, Raja Giryes:
Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions. NAACL (Long Papers) 2025: 10497-10518 - [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) - [c77]Moran Yanuka, Morris Alper, Hadar Averbuch-Elor, Raja Giryes:
ICC : Quantifying Image Caption Concreteness for Multimodal Dataset Curation. ACL (Findings) 2024: 11048-11064 - [c76]Rajaei Khatib, Raja Giryes:
TriNeRFLet: A Wavelet Based Triplane NeRF Representation. ECCV (79) 2024: 358-374 - [c75]Assaf Ben-Kish, Moran Yanuka, Morris Alper, Raja Giryes, Hadar Averbuch-Elor:
Mitigating Open-Vocabulary Caption Hallucinations. EMNLP 2024: 22680-22698 - [c74]Nimrod Shabtay, Eli Schwartz, Raja Giryes:
Deep Phase Coded Image Prior. ICCP 2024: 1-12 - [c73]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 - [c72]Michael Eli Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré:
How do Transformers Perform In-Context Autoregressive Learning ? ICML 2024 - [c71]Lev Ayzenberg, Raja Giryes, Hayit Greenspan:
DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation. ISBI 2024: 1-5 - [c70]Aviad Dahan, Tal Shaharabany, Raja Giryes, Lior Wolf:
Video Polyp Segmentation using Implicit Networks. MIDL 2024: 326-337 - [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 - [d1]Elad Dvash, Yam Peleg, Shay Zucker, Raja Giryes:
StrudelTAU/ShallowTransitsDL: V1.0.0. Zenodo, 2022
- [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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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-06-15 20:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
