← Authors

Raja Giryes

43 papers · 2017–2025 · 13 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (13) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer πŸ† Grand Slam 🀝 Dynamic Duo (12) πŸ† Keyword Champion πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) ⚑ Prolific Year (8) πŸ“ˆ Trend Setter ❓ The Questioner πŸ—ƒοΈ Keyword Collector (182) πŸ’Ž Century Club (43)

Conferences

CVPR (10) NIPS (6) ACL (4) ECCV (4) WACV (4) AISTATS (3) ICLR (3) AAAI (2) ICCV (2) ICML (2) EMNLP (1) MIDL (1) NAACL (1)

Top co-authors

Leonid Karlinsky (12) Rogerio Feris (10) Eli Schwartz (8) Sivan Harary (7) Sivan Doveh (7) Assaf Arbelle (6) Joseph Shtok (5) Amit Alfassy (5) Daniel Cohen-or (5) Amir Globerson (4)

Research topics

Privacy (1)

Keywords

few-shot learning (5) convolutional neural network (4) vision language model (4) neural network (3) image restoration (3) vision-language model (3) deep neural network (2) representation learning (2) latent space (2) adversarial attack (2) deep learning (2) inverse problem (2) generative model (2) data augmentation (2) self-supervised learning (2) learning theory (2) contrastive learning (2) weakly supervised learning (2) object localization (2) image reconstruction (2)

Papers

Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models ACL 2025
Mamba Knockout for Unraveling Factual Information Flow ACL 2025
DeciMamba: Exploring the Length Extrapolation Potential of Mamba ICLR 2025
LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content ICLR 2025
Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions NAACL 2025
Teaching VLMs to Localize Specific Objects from In-context Examples ICCV 2025
Provable Benefits of Complex Parameterizations for Structured State Space Models NIPS 2024
UDPM: Upsampling Diffusion Probabilistic Models NIPS 2024
ICC : Quantifying Image Caption Concreteness for Multimodal Dataset Curation ACL 2024
TriNeRFLet: A Wavelet Based Triplane NeRF Representation ECCV 2024
Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States ICML 2024
How do Transformers Perform In-Context Autoregressive Learning ? ICML 2024
Video Polyp Segmentation using Implicit Networks MIDL 2024
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest WACV 2024
Membership Inference Attack Using Self Influence Functions WACV 2024
Neural (Tangent Kernel) Collapse NIPS 2023
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets ICLR 2023
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures CVPR 2023
Teaching Structured Vision & Language Concepts to Vision & Language Models CVPR 2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models NIPS 2023
Image Restoration by Deep Projected GSURE WACV 2022
FLEX: Extrinsic Parameters-Free Multi-View 3D Human Motion Reconstruction ECCV 2022
A Spectral Perspective of DNN Robustness to Label Noise AISTATS 2022
Unsupervised Domain Generalization by Learning a Bridge Across Domains CVPR 2022
StarNet: towards Weakly Supervised Few-Shot Object Detection AAAI 2021
Fine-Grained Angular Contrastive Learning With Coarse Labels CVPR 2021
Detector-Free Weakly Supervised Grounding by Separation ICCV 2021
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization NIPS 2021
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020
Low Resource Sequence Tagging using Sentence Reconstruction ACL 2020
ASAP: Architecture Search, Anneal and Prune AISTATS 2020
PointGMM: A Neural GMM Network for Point Clouds CVPR 2020
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers CVPR 2020
Image-Adaptive GAN Based Reconstruction AAAI 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification ECCV 2020
Supervised and Unsupervised Learning of Parameterized Color Enhancement WACV 2020
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019
Blind Visual Motif Removal From a Single Image CVPR 2019
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning CVPR 2019
Delta-encoder: an effective sample synthesis method for few-shot object recognition NIPS 2018
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization ECCV 2018
Generalization Error of Invariant Classifiers AISTATS 2017