Vittorio Murino
34 papers · 2006–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (11)
πΊοΈ
Taxonomy Completionist
(11)
π
Renaissance Researcher
(5)
π§
Keyword Pioneer
π€
Dynamic Duo
(13)
π
Keyword Champion
π
Grand Slam
π
Century Club
(34)
π
Trend Setter
π₯
Unstoppable
(10)
π
Conference Pioneer
β‘
Prolific Year
(6)
ποΈ
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
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 oneβs visual experience
NIPS 2010
Free energy score space
NIPS 2009
Clustering Under Prior Knowledge with Application to Image Segmentation
NIPS 2006