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Conference Publications (selected)

For the most updated list of publications, please look at google scholar

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Simple Post-Training Robustness using Test Time Augmentations and Random Forest

G. Cohen and R. Giryes

IEEE Winter Conference on Applications of Computer Vision (WACV), 2024

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Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models

Spotlight

S. Doveh, A. Arbelle, S. Harary, A. Alfassy, R. Herzig, D. Kim, R. Giryes, R. Feris, R. Panda, S. Ullman, L. Karlinsky

Advances in Neural Information Processing Systems (NeurIPS)}, 2023.

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AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder

T. Shaharabany, A. Dahan, R. Giryes, L. Wolf

British Machine Vision Conference (BMVC), 2023

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Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes

D. Cohen-Bar, E. Richardson, G. Metzer, R. Giryes, D. Cohen-Or

ICCV Workshop on AI for 3D Content Creation, 2023

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Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

G. Metzer, E. Richardson, O. Patashnik, R. Giryes, D. Cohen-Or

IEEE conference on computer vision and pattern recognition (CVPR), 2023

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Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Networks

E. Cohen-Karlik, I. Menuhin-Gruman, N. Cohen, R. Giryes, A. Globerson

International Conference on Learning Representations (ICLR), 2023

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Utilizing Excess Resources in Training Neural Networks

A. Henig and R. Giryes

IEEE international conference on image processing (ICIP), 2022

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Unsupervised Domain Generalization by Learning a Bridge Across Domains

S. Harary, E. Schwartz, A. Arbelle, P. Staar, S. Abu-Hussein, E. Amrani, R. Herzig, A. Alfassy, R. Giryes, H. Kuehne, D. Katabi, K. Saenko, R. Feris, L. Karlinsky

IEEE conference on computer vision and pattern recognition (CVPR), 2022

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A Spectral Perspective of DNN Robustness to Label Noise

O. Bar, A. Drory and R. Giryes

International Conference on
Artificial Intelligence and Statistics (AISTATS), 2022

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SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization

A. Hertz, O. Perel, R. Giryes, O. Sorkine-Hornung, D. Cohen-Or

Advances in Neural Information Processing Systems (NeurIPS), 2021.

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Extending the Vocabulary of Fictional Languages using Neural Networks

T. Zacharias, A. Taklikar and R. Giryes

NeurIPS Workshop on Machine Learning for Creativity and Design, 2021

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An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term

E. Yogev-Ofer, T. Tirer and R. Giryes

International Conference on Image Processing (ICIP), 2021

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Fine-grained Angular Contrastive Learning with Coarse Labels

G. Bukchin, E. Schwartz, K. Saenko, O. Shahar, R. Feris, R. Giryes, L. Karlinsky

IEEE conference on computer vision and pattern recognition (CVPR), 2021

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Stress-Testing Point Cloud Registration on Automotive LiDAR

A. Drory, R. Giryes, S. Avidan

NeurIPS Machine Learning for Autonomous Driving Workshop, 2022

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Face Authentication from Grayscale Coded Light Field

D. Weitzner, D. Mendelovic and R. Giryes

Intl. conference on image processing (ICIP), 2020.

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Deep Sparse Light Field Refocusing

Oral

S. Ben Dayan, D. Mendelovic and R. Giryes

British Machine Vision Conference (BMVC), 2020.

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TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification

M. Lichtenstein, P. Sattigeri, R. Feris, R. Giryes, L. Karlinsky

European Conference on Computer Vision (ECCV), 2020.

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BP-DIP: A backprojection based deep image prior

J. Zukerman, T. Tirer and R. Giryes

European Signal Processing Conference (EUSIPCO), 2020, Amsterdam, Netherlands.

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PointGMM: a Neural GMM Network for Point Clouds

A. Hertz, R. Hanocka, R. Giryes and D. Cohen-Or

IEEE conference on computer vision and pattern recognition (CVPR), 2020

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Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers

Oral and Paper Award Nominee

S. Abu Hussein, T. Tirer and R. Giryes

IEEE conference on computer vision and pattern recognition (CVPR), 2020

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On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein’s Unbiased Risk Estimator

S. Soltanayev, R. Giryes, S. Y. Chun and Y. C. Eldar

Intl. Conf. Acoustics Speech and Signal Processing (ICASSP), 2020, Barcelona, Spain.

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Supervised and Unsupervised Learning of Parameterized Color Enhancement

Y. Chai, R. Giryes and L. Wolf

IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.

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Utilizing the sparsity of quasi-distributed sensing systems for sub-Nyquist signal reconstruction

L. Shiloh, R. Giryes and A. Eyal

European Workshop on Optical Fibre Sensors, 2019

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LaSO: Label-Set Operations networks for multi-label few-shot learning

Oral

A. Alfassy, L. Karlinsky, A. Aides, J. Shtok, S. Harary, R. Feris, R. Giryes and A. M. Bronstein

IEEE conference on computer vision and pattern recognition (CVPR), 2019.

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Deep Radar Detector

D. Brodeski, I. Bilik and R. Giryes

IEEE Radar Conference (RadarConf), 2019.

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Membership Inference Attack Using Self Influence Functions

G. Cohen and R. Giryes

IEEE Winter Conference on Applications of Computer Vision (WACV), 2024.

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Neural (Tangent Kernel) Collapse

M. Seleznova, D. Weitzner, R. Giryes, G. Kutyniok, H. H. Chou

Advances in Neural Information Processing Systems (NeurIPS), 2023.

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Group Orthogonalization Regularization For Vision Models Adaptation and Robustness

Oral

Y. Kurtz, N. Bar, R. Giryes

British Machine Vision Conference (BMVC) 2023

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TEXTure: Text-Guided Texturing of 3D Shapes

E. Richardson, G. Metzer, Y. Alaluf, R. Giryes, D. Cohen-Or

SIGGRAPH Conference Proceedings, 2023

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Teaching Structured Vision and Language Concepts to Vision and Language Models

S. Doveh, A. Arbelle, S. Harary, R. Panda, R. Herzig, E. Schwartz, D. Kim, R. Giryes, R. Feris, S. Ullman, L. Karlinsky

IEEE conference on computer vision and pattern recognition (CVPR), 2023

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A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images

D. J. E. Waibel, E. Röell, B. Rieck, R. Giryes, C. Marr

IEEE International Symposium on Biomedical Imaging (ISBI), 2023

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FLEX: Extrinsic Parameter-free Multi-view 3D Human Motion Reconstruction

B. Gordon, S. Raab, G. Azov, R. Giryes, D. Cohen-Or

European Conference on Computer Vision (ECCV), 2022

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NeuralMLS: Geometry-Aware Control Point Deformation

M. Shechter, R. Hanocka, G. Metzer, R. Giryes, and D. Cohen-Or

Eurographics Short Paper, 2022

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Image Restoration by Deep Projected GSURE

S. Abu-Hussein, T. Tirer, S. Y. Chun, Y. C. Eldar and R. Giryes

Winter Conference on Applications of Computer Vision (WACV), 2022

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DeepBBS: Deep Best Buddies for Point Cloud Registration

I. Hezroni, A. Drory, R. Giryes, S. Avidan

International conference on 3D vision (3DV), 2021

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Detector-Free Weakly Supervised Grounding by Separation

A. Arbelle, S. Doveh, A. Alfassy, J. Shtok, G. Lev, E. Schwartz, H. Kuehne, H. Barak Levi, P. Sattigeri, R. Panda, C.-F. Chen, A. Bronstein, K. Saenko, S. Ullman, R. Giryes, R. Feris, L. Karlinsky

International Conference on Computer Vision (ICCV), 2021

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Kernel-Based Smoothness Analysis of Residual Networks

T. Tirer, J. Bruna and R. Giryes

Mathematical and Scientific Machine Learning (MSML)}, 2021

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StarNet: towards Weakly Supervised Few-Shot Object Detection

L. Karlinsky, J. Shtok, A. Alfassy, M. Lichtenstein, S. Harary, E. Schwartz, S. Doveh, P. Sattigeri, R. Feris, A. Bronstein, R. Giryes

AAAI, 2021

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Best Buddies Registration for Point Clouds

A. Drory, T. Shomer, S. Avidan and R. Giryes

Asian Conference on Computer Vision (ACCV), 2020.

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An ETF view of Dropout regularization

D. Bank, R. Giryes

British Machine Vision Conference (BMVC), 2020

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The Resistance to Label Noise in K-NN and DNN Depends on its Concentration‏

A. Drory, O. Ratzon, S. Avidan and R. Giryes

British Machine Vision Conference (BMVC), 2020.

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Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data

R. Levy-Leshem and R. Giryes

European Signal Processing Conference (EUSIPCO), 2020, Amsterdam, Netherlands.

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Low Resource Sequence Tagging using Sentence Reconstruction

T. Perl, S. Chaudhury and R. Giryes

Annual Meeting of the Association for Computational Linguistics (ACL), 2020.

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Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors

G. Cohen, G. Sapiro and R. Giryes

IEEE conference on computer vision and pattern recognition (CVPR), 2020

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Separable Optimization for Joint Blind Deconvolution and Demixing

D. Weitzner and R. Giryes

Intl. Conf. Acoustics Speech and Signal Processing (ICASSP), 2020, Barcelona, Spain.

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ASAP: Architecture Search, Anneal and Prune International Conference on

A. Noy, N. Nayman, T. Ridnik, N. Zamir, S. Doveh, I. Friedman, R. Giryes, L. Zelnik

Artificial Intelligence and Statistics (AISTATS) , 2020.

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Image-Adaptive GAN based Reconstruction

S. Abu Hussein, T. Tirer and R. Giryes

AAAI, 2020

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RepMet: Representative-based metric learning for classification and one-shot object detection

E. Schwartz, L. Karlinsky, J. Shtok, S. Harary, M. Marder, R. Feris, A. Kumar, S. Pankanti, R. Giryes and A. M. Bronstein

IEEE conference on computer vision and pattern recognition (CVPR), 2019.

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Blind Visual Motif Removal from a Single Image

Oral

A. Hertz, S. Fogel, R. Hanocka, R. Giryes and D. Cohen-Or

IEEE conference on computer vision and pattern recognition (CVPR), 2019

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Delta-encoder an effective sample synthesis method for few-shot object recognition

Spotlight

E. Schwartz, L. Karlinsky, J. Shtok, S. Harary, M. Marder, R. Feris, A. Kumar, R. Giryes and A. M Bronstein

Advances in Neural Information Processing Systems (NeurIPS), 2018, Montréal, Canada.

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