Maurice Pagnucco
20 papers · 2013–2026 · 9 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
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πΊοΈ Taxonomy Completionist (46) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π€ Dynamic Duo (15)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(95)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Computer Vision
(8)
Core AI Β· Artificial Intelligence
(8)
Deep Learning
(7)
Analysis
(6)
Application Areas
(4)
Core Methods
(4)
Architectures
(3)
Domain-Specific
(3)
Core AI Β· Computer Vision
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Keywords
anomaly detection
(2)
graph neural network
(2)
image classification
(2)
prototype learning
(2)
large language model
(2)
video recognition
(1)
domain adaptation
(1)
contrastive learning
(1)
automated planning
(1)
feature learning
(1)
logical reasoning
(1)
visual question answering
(1)
object detection
(1)
self-supervised learning
(1)
multimodal learning
(1)
weakly supervised learning
(1)
image captioning
(1)
trajectory prediction
(1)
neural architecture search
(1)
feature extraction
(1)
Papers
Principles2Plan: LLM-Guided System for Operationalising Ethical Principles into Plans
AAAI 2026
Interpretable Image Classification via Non-parametric Part Prototype Learning
CVPR 2025
Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation
MICCAI 2025
MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects
CVPR 2025
Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation
CVPR 2025
Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
ICCV 2025
Structure based SAT dataset for analysing GNN generalisation
AISTATS 2025
Temporal Alignment of Time Sensitive Facts with Activation Engineering
EMNLP 2025
Decoupled Optimisation for Long-Tailed Visual Recognition
AAAI 2024
Formalisation and Evaluation of Properties for Consequentialist Machine Ethics
IJCAI 2024
Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products
NeurIPS 2024
XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification
MICCAI 2024
LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering
NeurIPS 2023
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
ICLR 2023
Epistemic Logic of Likelihood and Belief
IJCAI 2022
GrainSpace: A Large-Scale Dataset for Fine-Grained and Domain-Adaptive Recognition of Cereal Grains
CVPR 2022
Graph-Based Spatial Transformer With Memory Replay for Multi-Future Pedestrian Trajectory Prediction
CVPR 2022
A Framework for Integrating Symbolic and Sub-Symbolic Representations
IJCAI 2016
Belief Revision and Progression of Knowledge Bases in the Epistemic Situation Calculus
IJCAI 2015
Definability of Horn Revision from Horn Contraction
IJCAI 2013