About
Elisa Ricci is a Full Professor in the Department of Information Engineering and Computer Science (DISI) at the University of Trento and a Senior Researcher at Fondazione Bruno Kessler (FBK). She is the scientific manager of the Joint Laboratory on Vision and Learning between FBK and DISI. Her research interests are mainly in the areas of computer vision, robotics, machine learning, and human behaviour analysis.
Research Interests
Computer Vision
Papers (73)
2026
From Weights to Concepts: Data-Free Interpretability of CLIP via Singular Vector Decomposition
Francesco Gentile, Nicola Dall'Asen, Francesco Tonini, Massimiliano Mancini, Lorenzo Vaquero, Elisa Ricci
How to Take a Memorable Picture? Empowering Users with Actionable Feedback
Specificity-aware reinforcement learning for fine-grained open-world classification
Large Multimodal Models as General In-Context Classifiers
Organizing Unstructured Image Collections using Natural Language
SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models
Quentin Guimard, Federico Bartsch, Simone Caldarella, Rahaf Aljundi, Elisa Ricci, Massimiliano Mancini
2025
ConViS-Bench: Estimating Video Similarity Through Semantic Concepts
Dynamic Scoring with Enhanced Semantics for Training-Free Human-Object Interaction Detection
FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models
Mainak Singha, Subhankar Roy, Sarthak Mehrotra, Ankit Jha, Moloud Abdar, Biplap Banerjee, Elisa Ricci
On Large Multimodal Models as Open-World Image Classifiers
Superpowering Open-Vocabulary Object Detectors for X-ray Vision
Pablo García Fernández, Lorenzo Vaquero, Mingxuan Liu, Feng Xue, Daniel Cores, Nicu Sebe, Manuel Mucientes, Elisa Ricci
Automatic benchmarking of large multimodal models via iterative experiment programming
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
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Compositional Caching for Training-free Open-vocabulary Attribute Detection
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Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
Collaborative Neural Painting
Group-robust Machine Unlearning
Unlearning Personal Data from a Single Image
2024
Retrieval-enriched zero-shot image classification in low-resource domains
AL-GTD: Deep Active Learning for Gaze Target Detection
Delving into CLIP latent space for Video Anomaly Recognition
Harnessing Large Language Models for Training-free Video Anomaly Detection
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
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SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
Mingxuan Liu, Tyler L. Hayes, Gabriela Csurka, Elisa Ricci, Riccardo Volpi
Test-Time Zero-Shot Temporal Action Localization
Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning
Democratizing Fine-grained Visual Recognition with Large Language Models
Conditioned Prompt-Optimization for Continual Deepfake Detection
Text-Enhanced Zero-Shot Action Recognition: A training-free approach
Frustratingly Easy Test-Time Adaptation of Vision-Language Models
2023
AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation
Novel Class Discovery for 3D Point Cloud Semantic Segmentation
Luigi Riz, Cristiano Saltori, Elisa Ricci, Fabio Poiesi
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Quantum Multi-Model Fitting
Oral
A soft nearest-neighbor framework for continual semi-supervised learning
Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari
Object-aware Gaze Target Detection
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
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
Cristiano Saltori, Aljoša Ošep, Elisa Ricci, Laura Leal-Taixé
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
Vocabulary-free Image Classification
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing
Overlap-guided Gaussian Mixture Model for Point Cloud Registration
2022
Graph-based generative face anonymisation with pose preservation
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
Playable Environments: Video Manipulation in Space and Time
Willi Menapace, Stéphane Lathuilière, Aliaksandr Siarohin, Christian Theobalt, Sergey Tulyakov, Vladislav Golyanik, Elisa Ricci
Self-Supervised Models are Continual Learners
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
Class-incremental Novel Class Discovery
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi
Quantum Motion Segmentation
Federica Arrigoni, Willi Menapace, Marcel Seelbach Benkner, Elisa Ricci, Vladislav Golyanik
Multimodal Across Domains Gaze Target Detection
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss
Unsupervised Domain Adaptation for Video Transformers in Action Recognition
Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci
Revisiting Viewing Graph Solvability: an Effective Approach Based on Cycle Consistency
Federica Arrigoni, Andrea Fusiello, Romeo Rizzi, Elisa Ricci, Tomas Pajdla
Variational Structured Attention Networks for Deep Visual Representation Learning
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci
Multi-frame motion segmentation by combining two-frame results
Federica Arrigoni, Elisa Ricci, Tomas Pajdla
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
Dual-Head Contrastive Domain Adaptation for Video Action Recognition
Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci
2021
Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation
Pierfrancesco Ardino, Yahui Liu, Elisa Ricci, Bruno Lepri, Marco De Nadai
2020
SF-UDA<sup>3D</sup>: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection
Learning to Cluster under Domain Shift
Willi Menapace, Stéphane Lathuilière, Elisa Ricci
Online Continual Learning under Extreme Memory Constraints
Towards Generalization Across Depth for Monocular 3D Object Detection
Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Elisa Ricci, Peter Kontschieder
Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound
Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli, Emanuele Peschiera, Riccardo Trevisan, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J G van Sloun, Elisa Ricci, Libertario Demi
Learning How to Smile: Expression Video Generation with Conditional Adversarial Recurrent Nets
Demystifying Pseudo-LiDAR for Monocular 3D Object Detection
Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Elisa Ricci
2019
Unsupervised domain adaptation using feature-whitening and consensus loss
2018
