Our Publications

Selected work

ICCV

2023

ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models

ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models

Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini
StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model

StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model

The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation

The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation

Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation

Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation

Cristiano Saltori, Aljoša Ošep, Elisa Ricci, Laura Leal-Taixé

ICIAP

2023

Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations

Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations

ICIP

2023

Exploring Diffusion Models for Unsupervised Video Anomaly Detection

Exploring Diffusion Models for Unsupervised Video Anomaly Detection

ICML

2023

Latent Traversals in Generative Models as Potential Flows

Latent Traversals in Generative Models as Potential Flows

Yue Song, T. Anderson Keller, Niculae Sebe, Max Welling

IEEE Access

2023

Unleashing the Transferability Power of Unsupervised Pre-Training for Emotion Recognition in Masked and Unmasked Facial Images

Unleashing the Transferability Power of Unsupervised Pre-Training for Emotion Recognition in Masked and Unmasked Facial Images

Moreno D'inca', Cigdem Beyan, Radoslaw Niewiadomski, Simone Barattin, Niculae Sebe