World's Best Scientists 2026 revealed!
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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
13767
World Ranking
3624
National Ranking
69

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Elisa Ricci is a researcher affiliated with Fondazione Bruno Kessler in Italy, with a primary focus in the field of Computer Science. Their work concentrates notably on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Aerospace Engineering, and Computer Networks and Communications.

The scientist's research covers several main topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Generative Adversarial Networks and Image Synthesis
  • 3D Shape Modeling and Analysis

Recent publications authored or coauthored by Elisa Ricci include:

  • Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound, 2020, IEEE Transactions on Medical Imaging
  • Modeling the Background for Incremental Learning in Semantic Segmentation, 2020, Institutional Research Information System (Università degli Studi di Trento)
  • Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • First Order Motion Model for Image Animation, 2020, arXiv (Cornell University)
  • A Unified Objective for Novel Class Discovery, 2021, IRIS UNIMORE (University of Modena and Reggio Emilia)

Frequent publication venues for their work are diverse, with notable contributions in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Computer Vision and Image Understanding

In addition to journal and conference papers, Elisa Ricci has participated in book publications, such as the contribution to "Image Analysis and Processing - ICIAP 2022" published by Springer Science+Business Media.

Collaborations have involved several frequent coauthors, reflecting ongoing research partnerships. These coauthors include:

  • Nicu Sebe
  • Paolo Rota
  • Subhankar Roy
  • Stéphane Lathuilière
  • Yiming Wang

Best Publications

  • Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification

    E. Ricci;R. Perfetti

  • Learning Deep Representations of Appearance and Motion for Anomalous Event Detection

    Dan Xu;Elisa Ricci;Yan Yan;Jingkuan Song

  • Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound

    Subhankar Roy;Willi Menapace;Sebastiaan Oei;Ben Luijten

  • Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation

    Dan Xu;Elisa Ricci;Wanli Ouyang;Xiaogang Wang

  • First Order Motion Model for Image Animation

    Aliaksandr Siarohin;Stéphane Lathuilière;Sergey Tulyakov;Elisa Ricci

  • Detecting anomalous events in videos by learning deep representations of appearance and motion

    Dan Xu;Yan Yan;Elisa Ricci;Elisa Ricci;Nicu Sebe

  • Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions

    Sergey Tulyakov;Xavier Alameda-Pineda;Elisa Ricci;Lijun Yin

  • Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation

    Dan Xu;Wei Wang;Hao Tang;Hong Liu

  • Animating Arbitrary Objects via Deep Motion Transfer

    Aliaksandr Siarohin;Stephane Lathuiliere;Sergey Tulyakov;Elisa Ricci

  • AutoDIAL: Automatic Domain Alignment Layers

    Fabio Maria Cariucci;Lorenzo Porzi;Barbara Caputo;Elisa Ricci

  • Modeling the Background for Incremental Learning in Semantic Segmentation

    Fabio Cermelli;Massimiliano Mancini;Samuel Rota Bulo;Elisa Ricci

  • Support Vector Machines.

    Nello Cristianini;Elisa Ricci

  • Learning Cross-Modal Deep Representations for Robust Pedestrian Detection

    Dan Xu;Wanli Ouyang;Elisa Ricci;Xiaogang Wang

  • A Unified Objective for Novel Class Discovery

    Unknown

  • Multitask Linear Discriminant Analysis for View Invariant Action Recognition

    Yan Yan;Elisa Ricci;Ramanathan Subramanian;Gaowen Liu

  • Self-Supervised Models are Continual Learners

    Unknown

  • Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction

    Guanglei Yang;Hao Tang;Mingli Ding;Nicu Sebe

  • Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks

    Andrea Pilzer;Dan Xu;Mihai Puscas;Elisa Ricci

  • Egocentric Daily Activity Recognition via Multitask Clustering

    Yan Yan;Elisa Ricci;Gaowen Liu;Nicu Sebe

  • Boosting Domain Adaptation by Discovering Latent Domains

    Massimiliano Mancini;Lorenzo Porzi;Samuel Rota Bulo;Barbara Caputo

  • Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss

    Subhankar Roy;Aliaksandr Siarohin;Enver Sangineto;Samuel Rota Bulo

  • SALSA: A Novel Dataset for Multimodal Group Behavior Analysis

    Xavier Alameda-Pineda;Jacopo Staiano;Ramanathan Subramanian;Ligia Batrinca

  • Support Vector Machines

    Mamoun Awad;Latifur Khan

Frequent Co-Authors

Nicu Sebe
Nicu Sebe University of Trento
Samuel Rota Bulò
Samuel Rota Bulò Facebook (United States)
Yan Yan
Yan Yan Illinois Institute of Technology
Barbara Caputo
Barbara Caputo Polytechnic University of Turin
Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Jingkuan Song
Jingkuan Song Columbia University
Nello Cristianini
Nello Cristianini University of Bath
Bruno Lepri
Bruno Lepri Fondazione Bruno Kessler
Tijl De Bie
Tijl De Bie Ghent University

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