Jose Dolz

33 papers · 2017–2026 · 8 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🐝 Cross-Pollinator (8) 🏃 Academic Marathon (9) 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)

🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (63) 🤝 Dynamic Duo (26) ❓ The Questioner ⚡ Prolific Year (7) 🚀 Conference Pioneer 💎 Century Club (33) 📈 Trend Setter 🔥 Unstoppable (8) 🗃️ Keyword Collector (117)

Conferences

CVPR (9) WACV (8) MICCAI (6) MIDL (5) ICCV (2) ECCV (1) ICML (1) NIPS (1)

Top co-authors

Ismail Ben Ayed (26) Julio Silva-Rodríguez (9) Christian Desrosiers (7) Houda Bahig (5) Sina Hajimiri (4) Malik Boudiaf (4) Hoel Kervadec (4) Eric Granger (4) Pablo Piantanida (3) Balamurali Murugesan (3)

Keywords

semantic segmentation (7) few-shot learning (7) domain adaptation (5) image segmentation (4) vision-language model (4) transductive inference (3) mutual information (3) label smoothing (3) uncertainty quantification (3) prompt tuning (2) zero-shot learning (2) image classification (2) network calibration (2) clip model (2) convolutional neural network (2) weakly supervised learning (2) unsupervised learning (2) knowledge distillation (2) deep learning (2) transfer learning (1)

Papers

SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026 NERVE: Neighbourhood & Entropy-Guided Random-Walk for Training Free Open-Vocabulary Segmentation WACV 2026 Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation MICCAI 2025 Conformal Prediction for Zero-Shot Models CVPR 2025 Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection CVPR 2025 ViLU: Learning Vision-Language Uncertainties for Failure Prediction ICCV 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 Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation WACV 2025 ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training WACV 2025 A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models CVPR 2024 MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024 Robust Calibration of Large Vision-Language Adapters ECCV 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 Prompting Classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation WACV 2024 Parametric Information Maximization for Generalized Category Discovery ICCV 2023 GeoLS: Geodesic Label Smoothing for Image Segmentation MIDL 2023 A Strong Baseline for Generalized Few-Shot Semantic Segmentation CVPR 2023 Class Adaptive Network Calibration CVPR 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 Laplacian Regularized Few-Shot Learning ICML 2020 Information Maximization for Few-Shot Learning NIPS 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