Raja Giryes
45 papers · 2017–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (13)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Grand Slam
π€
Dynamic Duo
(12)
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Keyword Champion
π
Conference Pioneer
π₯
Unstoppable
(9)
β‘
Prolific Year
(8)
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Trend Setter
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The Questioner
ποΈ
Keyword Collector
(182)
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Century Club
(43)
Conferences
CVPR (10)
ACL (6)
NIPS (6)
ECCV (4)
WACV (4)
AISTATS (3)
ICLR (3)
AAAI (2)
ICCV (2)
ICML (2)
EMNLP (1)
MIDL (1)
NAACL (1)
Top co-authors
Research topics
Keywords
few-shot learning
(5)
vision-language model
(4)
vision language model
(4)
convolutional neural network
(4)
neural network
(3)
image restoration
(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
ConlangCrafter: Constructing Languages with a Multi-Hop LLM Pipeline
ACL 2026
CARES: Context-Aware Resolution Selector for VLMs
ACL 2026
Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions
NAACL 2025
DeciMamba: Exploring the Length Extrapolation Potential of Mamba
ICLR 2025
LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content
ICLR 2025
Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models
ACL 2025
Teaching VLMs to Localize Specific Objects from In-context Examples
ICCV 2025
Mamba Knockout for Unraveling Factual Information Flow
ACL 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
Teaching Structured Vision & Language Concepts to Vision & Language Models
CVPR 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
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
NIPS 2023
Image Restoration by Deep Projected GSURE
WACV 2022
Unsupervised Domain Generalization by Learning a Bridge Across Domains
CVPR 2022
FLEX: Extrinsic Parameters-Free Multi-View 3D Human Motion Reconstruction
ECCV 2022
A Spectral Perspective of DNN Robustness to Label Noise
AISTATS 2022
Detector-Free Weakly Supervised Grounding by Separation
ICCV 2021
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
NIPS 2021
Fine-Grained Angular Contrastive Learning With Coarse Labels
CVPR 2021
StarNet: towards Weakly Supervised Few-Shot Object Detection
AAAI 2021
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers
CVPR 2020
PointGMM: A Neural GMM Network for Point Clouds
CVPR 2020
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
CVPR 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification
ECCV 2020
Supervised and Unsupervised Learning of Parameterized Color Enhancement
WACV 2020
Image-Adaptive GAN Based Reconstruction
AAAI 2020
Low Resource Sequence Tagging using Sentence Reconstruction
ACL 2020
ASAP: Architecture Search, Anneal and Prune
AISTATS 2020
Blind Visual Motif Removal From a Single Image
CVPR 2019
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
CVPR 2019
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
CVPR 2019
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
ECCV 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition
NIPS 2018
Generalization Error of Invariant Classifiers
AISTATS 2017