Vittorio Murino

Lifelong Imitation Learning with Multimodal Latent Replay and Incremental Adjustment CVPR 2026 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 MadCLIP: Few-shot Medical Anomaly Detection with CLIP MICCAI 2025 Pre-Trained Multiple Latent Variable Generative Models are Good Defenders Against Adversarial Attacks WACV 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 Audio-Visual Localization by Synthetic Acoustic Image Generation AAAI 2021 Distillation Multiple Choice Learning for Multimodal Action Recognition WACV 2021 S-VVAD: Visual Voice Activity Detection by Motion Segmentation WACV 2021 Transductive Zero-Shot Learning by Decoupled Feature Generation WACV 2021 Audio-Visual Model Distillation Using Acoustic Images WACV 2020 Generative Pseudo-label Refinement for Unsupervised Domain Adaptation WACV 2020 Leveraging Acoustic Images for Effective Self-Supervised Audio Representation Learning ECCV 2020 Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets ICCV 2019 Adversarial Feature Augmentation for Unsupervised Domain Adaptation CVPR 2018 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 NeurIPS 2018 Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation ICLR 2018 Modality Distillation with Multiple Stream Networks for Action Recognition ECCV 2018 Curriculum Dropout ICCV 2017 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 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 Learning With Dataset Bias in Latent Subcategory Models CVPR 2015 Sparse Representation Classification With Manifold Constraints Transfer CVPR 2015 Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NeurIPS 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 NeurIPS 2010 Free energy score space NeurIPS 2009 Clustering Under Prior Knowledge with Application to Image Segmentation NeurIPS 2006