Jose Dolz

NERVE: Neighbourhood & Entropy-Guided Random-Walk for Training Free Open-Vocabulary Segmentation WACV 2026 ORION: ORthonormal Text Encoding for Universal VLM AdaptatION CVPR 2026 SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026 SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning CVPR 2026 Conformal Prediction for Zero-Shot Models CVPR 2025 Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection CVPR 2025 Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation MICCAI 2025 Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation WACV 2025 ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training WACV 2025 Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport MICCAI 2025 Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation MICCAI 2025 Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction MICCAI 2025 ViLU: Learning Vision-Language Uncertainties for Failure Prediction ICCV 2025 A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models CVPR 2024 Class and Region-Adaptive Constraints for Network Calibration MICCAI 2024 Few-shot Adaptation of Medical Vision-Language Models MICCAI 2024 LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP CVPR 2024 MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024 Prompting Classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation WACV 2024 Robust Calibration of Large Vision-Language Adapters ECCV 2024 A Strong Baseline for Generalized Few-Shot Semantic Segmentation CVPR 2023 Class Adaptive Network Calibration CVPR 2023 GeoLS: Geodesic Label Smoothing for Image Segmentation MIDL 2023 Parametric Information Maximization for Generalized Category Discovery ICCV 2023 The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration CVPR 2022 Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL 2021 Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021 On the Texture Bias for Few-Shot CNN Segmentation WACV 2021 Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation WACV 2021 Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision MIDL 2020 Information Maximization for Few-Shot Learning NeurIPS 2020 Laplacian Regularized Few-Shot Learning ICML 2020 On Direct Distribution Matching for Adapting Segmentation Networks MIDL 2020 Boundary loss for highly unbalanced segmentation MIDL 2019 DOPE: Distributed Optimization for Pairwise Energies CVPR 2017