Raja Giryes

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 216

Top Venues

Publications

Rajaei Khatib, Raja Giryes
TriNeRFLet: A Wavelet Based Multiscale Triplane NeRF Representation. CoRR (2024)
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 (2024)
Michael E. Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré
How do Transformers perform In-Context Autoregressive Learning? CoRR (2024)
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)
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
TEXTure: Text-Guided Texturing of 3D Shapes. SIGGRAPH (Conference Paper Track) (2023)
Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
Neural (Tangent Kernel) Collapse. CoRR (2023)
Yoav Kurtz, Noga Bar, Raja Giryes
Group Orthogonalization Regularization for Vision Models Adaptation and Robustness. BMVC (2023)
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) (2023)
Nir Yellinek, Leonid Karlinsky, Raja Giryes
3VL: using Trees to teach Vision & Language models compositional concepts. CoRR (2023)
Tal Shaharabany, Aviad Dahan, Raja Giryes, Lior Wolf
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder. CoRR (2023)
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) (2023)
Shady Abu Hussein, Raja Giryes
UDPM: Upsampling Diffusion Probabilistic Models. CoRR (2023)
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)
Tom Tirer, Raja Giryes, Se Young Chun, Yonina C. Eldar
Deep Internal Learning: Deep Learning from a Single Input. CoRR (2023)
Maayan Yaary, Uriel Barron, Luis Pascual Domínguez, Boping Chen, Liron Barak, Erez Etzion, Raja Giryes
Comparing machine learning models for tau triggers. CoRR (2023)
Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. CVPR (2023)
Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images. ISBI (2023)
Raja Giryes
A Function Space Analysis of Finite Neural Networks With Insights From Sampling Theory. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
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 (2023)
Alexandre Binninger, Amir Hertz, Olga Sorkine-Hornung, Daniel Cohen-Or, Raja Giryes
SENS: Sketch-based Implicit Neural Shape Modeling. CoRR (2023)
Dana Cohen-Bar, Elad Richardson, Gal Metzer, Raja Giryes, Daniel Cohen-Or
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes. CoRR (2023)
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)
Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
Mesh Draping: Parametrization-Free Neural Mesh Transfer. Comput. Graph. Forum 42 (1) (2023)
Noga Bar, Raja Giryes
Pruning at Initialization - A Sketching Perspective. CoRR (2023)
Daniel Jakubovitz, David Uliel, Miguel R. D. Rodrigues, Raja Giryes
An information-Theoretic Approach to Semi-supervised Transfer Learning. CoRR (2023)
Dana Weitzner, Raja Giryes
On The Relationship Between Universal Adversarial Attacks And Sparse Representations. CoRR (2023)
Erez Yosef, Raja Giryes
Tell Me What You See: Text-Guided Real-World Image Denoising. CoRR (2023)
Tal Shaharbany, Aviad Dahan, Raja Giryes, Lior Wolf
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder. BMVC (2023)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogerio Feris, Shimon Ullman, Leonid Karlinsky
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR (2023)
Edo Cohen-Karlik, Itamar Menuhin-Gruman, Raja Giryes, Nadav Cohen, Amir Globerson
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets. ICLR (2023)
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)
Assaf Ben-Kish, Moran Yanuka, Morris Alper, Raja Giryes, Hadar Averbuch-Elor
MOCHa: Multi-Objective Reinforcement Mitigating Caption Hallucinations. CoRR (2023)
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
TEXTure: Text-Guided Texturing of 3D Shapes. CoRR (2023)
Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
Neural (Tangent Kernel) Collapse. NeurIPS (2023)
Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels. CoRR (2023)
Yoav Kurtz, Noga Bar, Raja Giryes
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness. CoRR (2023)
Edo Cohen-Karlik, Itamar Menuhin-Gruman, Nadav Cohen, Raja Giryes, Amir Globerson
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network. CoRR (2022)
Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. CoRR (2022)
Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or
FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction. ECCV (33) (2022)
Nimrod Shabtay, Eli Schwartz, Raja Giryes
PIP: Positional-encoding Image Prior. CoRR (2022)
Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images. CoRR (2022)
Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein
Baby steps towards few-shot learning with multiple semantics. Pattern Recognit. Lett. 160 (2022)
Gilad Cohen, Raja Giryes
Membership Inference Attack Using Self Influence Functions. CoRR (2022)
Shahaf Ettedgui, Shady Abu Hussein, Raja Giryes
ProCST: Boosting Semantic Segmentation using Progressive Cyclic Style-Transfer. CoRR (2022)
Amnon Drory, Shai Avidan, Raja Giryes
Stress-Testing LiDAR Registration. CoRR (2022)
Gilad Cohen, Raja Giryes
Generative Adversarial Networks. CoRR (2022)
Amit Henig, Raja Giryes
Utilizing Excess Resources in Training Neural Networks. ICIP (2022)
Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, Daniel Cohen-Or
Z2P: Instant Visualization of Point Clouds. Comput. Graph. Forum 41 (2) (2022)
Rana Hanocka, Jackie Assa, Daniel Cohen-Or, Raja Giryes
Learning Camera Control in Dynamic Scenes from Limited Demonstrations. Comput. Graph. Forum 41 (1) (2022)
Yuri Feigin, Hedva Spitzer, Raja Giryes
Cluster with GANs. Comput. Vis. Image Underst. 225 (2022)
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 (2022)
Thomas Zacharias, Ashutosh Taklikar, Raja Giryes
Extending the Vocabulary of Fictional Languages using Neural Networks. CoRR (2022)
Shady Abu Hussein, Tom Tirer, Raja Giryes
ADIR: Adaptive Diffusion for Image Reconstruction. CoRR (2022)
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)
Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation. CoRR (2022)
Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes
MAEDAY: MAE for few and zero shot AnomalY-Detection. CoRR (2022)
Shady Abu Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes
Image Restoration by Deep Projected GSURE. WACV (2022)
Oshrat Bar, Amnon Drory, Raja Giryes
A Spectral Perspective of DNN Robustness to Label Noise. AISTATS (2022)
Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or
NeuralMLS: Geometry-Aware Control Point Deformation. Eurographics (Short Papers) (2022)
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) (2022)
Amit Henig, Raja Giryes
Utilizing Excess Resources in Training Neural Networks. CoRR (2022)
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) (2022)
Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or
DeepMLS: Geometry-Aware Control Point Deformation. CoRR (2022)
Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or
FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction. CoRR (2021)
Erez Yosef, Shay Elmalem, Raja Giryes
Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding. CoRR (2021)
Noga Bar, Tomer Koren, Raja Giryes
Multiplicative Reweighting for Robust Neural Network Optimization. CoRR (2021)
Tom Tirer, Joan Bruna, Raja Giryes
Kernel-Based Smoothness Analysis of Residual Networks. MSML (2021)
Einav Yogev-Ofer, Tom Tirer, Raja Giryes
An Interpretation Of Regularization By Denoising And Its Application With The Back-Projected Fidelity Term. ICIP (2021)
Einav Yogev-Ofer, Tom Tirer, Raja Giryes
An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term. CoRR (2021)
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) (2021)
Shady Abu Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes
Image Restoration by Deep Projected GSURE. CoRR (2021)
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)
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)
Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
Self-Sampling for Neural Point Cloud Consolidation. ACM Trans. Graph. 40 (5) (2021)
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)
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 (2021)
Itan Hezroni, Amnon Drory, Raja Giryes, Shai Avidan
DeepBBS: Deep Best Buddies for Point Cloud Registration. 3DV (2021)
Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, Daniel Cohen-Or
Z2P: Instant Rendering of Point Clouds. CoRR (2021)
Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
Progressive Encoding for Neural Optimization. CoRR (2021)
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 (2021)
Eli Schwartz, Alex M. Bronstein, Raja Giryes
ISP Distillation. CoRR (2021)
Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
Mesh Draping: Parametrization-Free Neural Mesh Transfer. CoRR (2021)
Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or
Orienting point clouds with dipole propagation. ACM Trans. Graph. 40 (4) (2021)
Dana Weitzner, Raja Giryes
Separable Joint Blind Deconvolution and Demixing. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
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 (2021)
Gilad Cohen, Raja Giryes
KATANA: Simple Post-Training Robustness Using Test Time Augmentations. CoRR (2021)
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 (2021)
Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter 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 (2021)
Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
Fine-Grained Angular Contrastive Learning With Coarse Labels. CVPR (2021)
Sivan Doveh, Raja Giryes
DEGAS: differentiable efficient generator search. Neural Comput. Appl. 33 (24) (2021)
Itan Hezroni, Amnon Drory, Raja Giryes, Shai Avidan
DeepBBS: Deep Best Buddies for Point Cloud Registration. CoRR (2021)
Tom Tirer, Raja Giryes
On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective. SIAM J. Imaging Sci. 14 (4) (2021)
Noa Barzilay, Tal Berkovitz Shalev, Raja Giryes
MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation. CoRR (2021)
Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or
Orienting Point Clouds with Dipole Propagation. CoRR (2021)
Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization. NeurIPS (2021)
Guy Leibovitz, Raja Giryes
Efficient Least Residual Greedy Algorithms for Sparse Recovery. IEEE Trans. Signal Process. 68 (2020)
Gilad Cohen, Guillermo Sapiro, Raja Giryes
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. CVPR (2020)
Guy Leibovitz, Raja Giryes
Efficient Least Residual Greedy Algorithms for Sparse Recovery. CoRR (2020)
Tom Tirer, Raja Giryes
Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems. IEEE Trans. Image Process. 29 (2020)
Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
Deep Geometric Texture Synthesis. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Raja Giryes