← Authors

Ismail Ben Ayed

68 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (90) 🧭 Keyword Pioneer 🏠 Conference Loyalist (21) πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (9) 🀝 Dynamic Duo (26) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸ’Ž Century Club (68) ⚑ Prolific Year (13) πŸ”₯ Unstoppable (10) ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (210) πŸš€ Conference Pioneer

Conferences

CVPR (21) WACV (15) ICCV (8) MICCAI (6) NIPS (6) MIDL (5) ECCV (3) AAAI (2) ICML (2)

Top co-authors

Jose Dolz (26) Christian Desrosiers (15) Eric Granger (14) Mehrdad Noori (12) David Osowiechi (12) Ali Bahri (11) Moslem Yazdanpanah (10) Julio Silva-RodrΓ­guez (9) Malik Boudiaf (9) Milad Cheraghalikhani (8)

Keywords

few-shot learning (12) vision-language model (10) semantic segmentation (10) image segmentation (9) domain adaptation (9) test-time adaptation (9) weakly supervised learning (7) transductive inference (6) domain shift (6) image classification (5) mutual information (5) zero-shot learning (5) distribution shift (4) convolutional neural network (3) adversarial attack (3) graph cut (3) transductive learning (3) unsupervised learning (3) convex optimization (3) energy minimization (3)

Papers

Revisiting Layer Normalization for Point Cloud Test Time Adaptation WACV 2026
Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language Adaptation WACV 2026
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples AAAI 2025
CLIPArTT: Adaptation of CLIP to New Domains at Test Time WACV 2025
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation WACV 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging WACV 2025
Spectral Informed Mamba for Robust Point Cloud Processing CVPR 2025
Conformal Prediction for Zero-Shot Models CVPR 2025
Realistic Test-Time Adaptation of Vision-Language Models CVPR 2025
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning CVPR 2025
Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation MICCAI 2025
Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token purging ICCV 2025
SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds ICML 2025
Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction MICCAI 2025
Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation MICCAI 2025
Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport MICCAI 2025
ViLU: Learning Vision-Language Uncertainties for Failure Prediction ICCV 2025
FDS: Feedback-Guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization WACV 2025
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation ICCV 2025
Robust Calibration of Large Vision-Language Adapters ECCV 2024
When is an Embedding Model More Promising than Another? NIPS 2024
Prompting Classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation WACV 2024
Bag of Tricks for Fully Test-Time Adaptation WACV 2024
WATT: Weight Average Test Time Adaptation of CLIP NIPS 2024
Boosting Vision-Language Models with Transduction NIPS 2024
NC-TTT: A Noise Constrastive Approach for Test-Time Training CVPR 2024
On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do We Really Need Prompt Learning? CVPR 2024
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models CVPR 2024
Transductive Zero-Shot and Few-Shot CLIP CVPR 2024
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP CVPR 2024
Few-shot Adaptation of Medical Vision-Language Models MICCAI 2024
Class and Region-Adaptive Constraints for Network Calibration MICCAI 2024
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos WACV 2023
Proximal Splitting Adversarial Attack for Semantic Segmentation CVPR 2023
Open-Set Likelihood Maximization for Few-Shot Learning CVPR 2023
A Strong Baseline for Generalized Few-Shot Semantic Segmentation CVPR 2023
Class Adaptive Network Calibration CVPR 2023
ClusT3: Information Invariant Test-Time Training ICCV 2023
Parametric Information Maximization for Generalized Category Discovery ICCV 2023
TTTFlow: Unsupervised Test-Time Training With Normalizing Flow WACV 2023
Parameter-Free Online Test-Time Adaptation CVPR 2022
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling WACV 2022
Negative Evidence Matters in Interpretable Histology Image Classification MIDL 2022
The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration CVPR 2022
Augmented Lagrangian Adversarial Attacks ICCV 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL 2021
Learning Data Augmentation With Online Bilevel Optimization for Image Classification WACV 2021
Deep Active Learning for Joint Classification & Segmentation With Weak Annotator WACV 2021
On the Texture Bias for Few-Shot CNN Segmentation WACV 2021
Variational Fair Clustering AAAI 2021
Realistic evaluation of transductive few-shot learning NIPS 2021
Information Maximization for Few-Shot Learning NIPS 2020
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses ECCV 2020
On Direct Distribution Matching for Adapting Segmentation Networks MIDL 2020
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision MIDL 2020
Laplacian Regularized Few-Shot Learning ICML 2020
Pose Guided Gated Fusion for Person Re-identification WACV 2020
Boundary loss for highly unbalanced segmentation MIDL 2019
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019
Beyond Gradient Descent for Regularized Segmentation Losses CVPR 2019
On Regularized Losses for Weakly-supervised CNN Segmentation ECCV 2018
Scalable Laplacian K-modes NIPS 2018
DOPE: Distributed Optimization for Pairwise Energies CVPR 2017
Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions ICCV 2015
Secrets of GrabCut and Kernel K-Means ICCV 2015
Submodularization for Binary Pairwise Energies CVPR 2014
Auxiliary Cuts for General Classes of Higher Order Functionals CVPR 2013