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Vittorio Murino

34 papers · 2006–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (20) πŸ—ΊοΈ Taxonomy Completionist (11) 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer 🀝 Dynamic Duo (13) πŸ† Keyword Champion πŸ† Grand Slam πŸ’Ž Century Club (34) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (153)

Conferences

WACV (11) CVPR (6) NIPS (5) ICCV (4) ECCV (2) AAAI (1) AISTATS (1) ICLR (1) ICML (1) JMLR (1) MICCAI (1)

Top co-authors

Pietro Morerio (13) Riccardo Volpi (5) Alessandro Perina (4) Alessio Del Bue (4) Jacopo Cavazza (4) Marco Cristani (4) Marco San Biagio (3) Valentina Sanguineti (3) Loris Bazzani (3) Nebojsa Jojic (3)

Keywords

multimodal learning (4) unsupervised learning (4) image classification (3) reproducing kernel hilbert space (3) domain adaptation (3) unsupervised domain adaptation (3) adversarial learning (3) semi-supervised learning (3) multi-view learning (2) action recognition (2) generative model (2) domain generalization (2) semantic segmentation (2) transfer learning (2) video understanding (2) manifold regularization (2) knowledge distillation (2) data augmentation (2) feature space (2) support vector machine (2)

Papers

Lose Your Self (LoYS): An Adversarial Entropy-based Unsupervised Approach for Model Debiasing WACV 2026
Looking at Model Debiasing through the Lens of Anomaly Detection WACV 2025
Pre-Trained Multiple Latent Variable Generative Models are Good Defenders Against Adversarial Attacks WACV 2025
MadCLIP: Few-shot Medical Anomaly Detection with CLIP MICCAI 2025
Leveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos WACV 2024
Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation WACV 2022
Dual-Head Contrastive Domain Adaptation for Video Action Recognition WACV 2022
Distillation Multiple Choice Learning for Multimodal Action Recognition WACV 2021
Audio-Visual Localization by Synthetic Acoustic Image Generation AAAI 2021
S-VVAD: Visual Voice Activity Detection by Motion Segmentation WACV 2021
Transductive Zero-Shot Learning by Decoupled Feature Generation WACV 2021
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation WACV 2020
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation Learning ECCV 2020
Audio-Visual Model Distillation Using Acoustic Images WACV 2020
Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets ICCV 2019
Dropout as a Low-Rank Regularizer for Matrix Factorization AISTATS 2018
Excitation Backprop for RNNs CVPR 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation NIPS 2018
Adversarial Feature Augmentation for Unsupervised Domain Adaptation CVPR 2018
Modality Distillation with Multiple Stream Networks for Action Recognition ECCV 2018
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation ICLR 2018
Summarization and Classification of Wearable Camera Streams by Learning the Distributions Over Deep Features of Out-Of-Sample Image Sequences ICCV 2017
Unsupervised Adaptive Re-Identification in Open World Dynamic Camera Networks CVPR 2017
Curriculum Dropout ICCV 2017
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification CVPR 2016
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning JMLR 2016
Sparse Representation Classification With Manifold Constraints Transfer CVPR 2015
Learning With Dataset Bias in Latent Subcategory Models CVPR 2015
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NIPS 2014
A unifying framework for vector-valued manifold regularization and multi-view learning ICML 2013
Heterogeneous Auto-similarities of Characteristics (HASC): Exploiting Relational Information for Classification ICCV 2013
Structural epitome: a way to summarize one’s visual experience NIPS 2010
Free energy score space NIPS 2009
Clustering Under Prior Knowledge with Application to Image Segmentation NIPS 2006