Massimiliano Mancini
32 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Hot Topic Early Bird
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Conference Polyglot
(7)
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Dynamic Duo
(16)
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Topic Evolution
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Century Club
(31)
📈
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Prolific Year
(6)
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Keyword Collector
(144)
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The Questioner
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Unstoppable
(10)
Conferences
CVPR (13)
ICCV (6)
NIPS (4)
ECCV (3)
WACV (3)
AAAI (1)
CONLL (1)
ICLR (1)
Top co-authors
Keywords
vision-language model
(8)
zero-shot learning
(6)
vision language model
(5)
large language model
(3)
image classification
(2)
feature representation
(2)
fine-grained classification
(2)
pretrained model
(2)
knowledge graph
(2)
zero-shot classification
(2)
compositional learning
(2)
convolutional neural network
(2)
catastrophic forgetting
(2)
fine-grained recognition
(2)
compositional zero-shot learning
(2)
transfer learning
(1)
probabilistic modeling
(1)
concept-based explanation
(1)
iterative optimization
(1)
continual learning
(1)
Papers
Safe Vision-Language Models via Unsafe Weights Manipulation
WACV 2026
Benchmarking XAI Explanations with Human-Aligned Evaluations
AAAI 2026
Compositional Caching for Training-free Open-vocabulary Attribute Detection
CVPR 2025
Can Text-to-Video Generation help Video-Language Alignment?
CVPR 2025
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
CVPR 2025
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
CVPR 2025
Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
CVPR 2025
Training-Free Personalization via Retrieval and Reasoning on Fingerprints
ICCV 2025
On Large Multimodal Models as Open-World Image Classifiers
ICCV 2025
One VLM to Keep it Learning: Generation and Balancing for Data-Free Continual Visual Question Answering
WACV 2025
3D Part Segmentation via Geometric Aggregation of 2D Visual Features
WACV 2025
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
CVPR 2024
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
CVPR 2024
Vision-by-Language for Training-Free Compositional Image Retrieval
ICLR 2024
Frustratingly Easy Test-Time Adaptation of Vision-Language Models
NIPS 2024
Harnessing Large Language Models for Training-free Video Anomaly Detection
CVPR 2024
Image-Free Classifier Injection for Zero-Shot Classification
ICCV 2023
PDiscoNet: Semantically consistent part discovery for fine-grained recognition
ICCV 2023
Vocabulary-free Image Classification
NIPS 2023
Iterative Superquadric Recomposition of 3D Objects from Multiple Views
ICCV 2023
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
NIPS 2023
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models
ICCV 2023
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
CVPR 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
ECCV 2022
Abstracting Sketches through Simple Primitives
ECCV 2022
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators
NIPS 2022
Open World Compositional Zero-Shot Learning
CVPR 2021
Modeling the Background for Incremental Learning in Semantic Segmentation
CVPR 2020
Towards Recognizing Unseen Categories in Unseen Domains
ECCV 2020
AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs
CVPR 2019
Boosting Domain Adaptation by Discovering Latent Domains
CVPR 2018
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
CONLL 2017