Vu Minh Hieu Phan
11 papers · 2024–2026 · 5 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.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI · Artificial Intelligence
(8)
Computer Vision
(5)
Machine Learning
(5)
Core Methods
(4)
Healthcare & Medicine
(3)
Clinical
(3)
Deep Learning
(2)
Core AI · Computer Vision
(2)
Domain-Specific
(2)
Learning Types
(2)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Models
(1)
Keywords
medical imaging
(3)
vision-language pre-training
(2)
zero-shot learning
(1)
image segmentation
(1)
similarity learning
(1)
prototype learning
(1)
cross-modal learning
(1)
large multimodal model
(1)
visual localization
(1)
visual grounding
(1)
deep learning
(1)
medical image analysis
(1)
feature space
(1)
visual classification
(1)
deep neural network
(1)
semantic segmentation
(1)
decision boundary
(1)
vision-language model
(1)
contrastive learning
(1)
image classification
(1)
Papers
Beyond the Global Scores: Fine-Grained Token Grounding as a Robust Detector of LVLM Hallucinations
CVPR 2026
MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-Training
ACL 2026
Interactive Medical Image Analysis with Concept-based Similarity Reasoning
CVPR 2025
Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering
IJCAI 2025
Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models
ICCV 2025
Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding
ICCV 2025
Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting
MICCAI 2025
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis
MICCAI 2024
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
CVPR 2024
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework
CVPR 2024
Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis
MICCAI 2024