Raja Giryes
45 papers · 2017–2026 · 13 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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πΊοΈ Taxonomy Completionist (80) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(12)
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Grand Slam
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Conference Pioneer
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Unstoppable Β· Silver
β
The Questioner
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Prolific Year Β· Prolific
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Century Club Β· Bronze
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Renaissance Researcher
(8)
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Trend Setter
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Keyword Collector
(219)
Venues
Top co-authors
Research topics
Machine Learning
(30)
Deep Learning
(25)
Artificial Intelligence
(19)
Computer Vision
(16)
Learning Types Β· Machine Learning
(15)
Core AI
(13)
Core Methods
(13)
Learning Types Β· Deep Learning
(11)
Architectures
(10)
Analysis
(8)
Learning Paradigms
(8)
Models
(7)
Optimization & Theory
(7)
Application Areas
(6)
Processing
(6)
Keywords
vision-language model
(6)
few-shot learning
(5)
neural network
(4)
convolutional neural network
(4)
state space model
(3)
image restoration
(3)
adversarial attack
(2)
gradient descent
(2)
diffusion model
(2)
multimodal learning
(2)
representation learning
(2)
deep learning
(2)
in-context learning
(2)
generative model
(2)
image reconstruction
(2)
self-supervised learning
(2)
visual question answering
(2)
weakly supervised learning
(2)
contrastive learning
(2)
learning theory
(2)
Papers
CARES: Context-Aware Resolution Selector for VLMs
ACL 2026
ConlangCrafter: Constructing Languages with a Multi-Hop LLM Pipeline
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
Mamba Knockout for Unraveling Factual Information Flow
ACL 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
How do Transformers Perform In-Context Autoregressive Learning ?
ICML 2024
ICC : Quantifying Image Caption Concreteness for Multimodal Dataset Curation
ACL 2024
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
ICML 2024
Membership Inference Attack Using Self Influence Functions
WACV 2024
Mitigating Open-Vocabulary Caption Hallucinations
EMNLP 2024
Provable Benefits of Complex Parameterizations for Structured State Space Models
NeurIPS 2024
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest
WACV 2024
TriNeRFLet: A Wavelet Based Triplane NeRF Representation
ECCV 2024
UDPM: Upsampling Diffusion Probabilistic Models
NeurIPS 2024
Video Polyp Segmentation using Implicit Networks
MIDL 2024
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
NeurIPS 2023
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
CVPR 2023
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
ICLR 2023
Neural (Tangent Kernel) Collapse
NeurIPS 2023
Teaching Structured Vision & Language Concepts to Vision & Language Models
CVPR 2023
A Spectral Perspective of DNN Robustness to Label Noise
AISTATS 2022
FLEX: Extrinsic Parameters-Free Multi-View 3D Human Motion Reconstruction
ECCV 2022
Image Restoration by Deep Projected GSURE
WACV 2022
Unsupervised Domain Generalization by Learning a Bridge Across Domains
CVPR 2022
Detector-Free Weakly Supervised Grounding by Separation
ICCV 2021
Fine-Grained Angular Contrastive Learning With Coarse Labels
CVPR 2021
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
NeurIPS 2021
StarNet: towards Weakly Supervised Few-Shot Object Detection
AAAI 2021
ASAP: Architecture Search, Anneal and Prune
AISTATS 2020
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers
CVPR 2020
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
CVPR 2020
Image-Adaptive GAN Based Reconstruction
AAAI 2020
Low Resource Sequence Tagging using Sentence Reconstruction
ACL 2020
PointGMM: A Neural GMM Network for Point Clouds
CVPR 2020
Supervised and Unsupervised Learning of Parameterized Color Enhancement
WACV 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification
ECCV 2020
Blind Visual Motif Removal From a Single Image
CVPR 2019
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
CVPR 2019
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
CVPR 2019
Delta-encoder: an effective sample synthesis method for few-shot object recognition
NeurIPS 2018
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
ECCV 2018
Generalization Error of Invariant Classifiers
AISTATS 2017