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Journal papers

  • Survey on video anomaly detection in dynamic scenes with moving cameras
    R. Jiao, Y. Wan, F. Poiesi, Y. Wang
    Artificial Intelligence Review, early access, 2023

  • Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
    C. Saltori, F. Galasso, G. Fiameni, N. Sebe, F. Poiesi, E. Ricci
    IEEE Trans. on Pattern Analysis and Machine Intelligence, early access, 2023

  • PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding
    D. Boscaini, F. Poiesi
    Image and Vision Computing, early access, 2023

  • Attentive Multimodal Fusion for Optical and Scene Flow
    Y. Zhou, G. Mei, Y. Wang, F. Poiesi, Y. Wan
    IEEE Robotics Automation Letters, early access, 2023

  • Exploiting multi-granularity visual features for retinal layer segmentation in human eyes
    X. He, Y. Wang, F. Poiesi, W. Song, Q. Xu, Z. Feng, Y. Wan
    Frontiers in Bioengineering and Biotechnology, vol. 11, Jun 2023

  • Learning general and distinctive 3D local deep descriptors for point cloud registration
    F. Poiesi, D. Boscaini
    IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 45, pp. 3979-3985, Mar 2023

  • Deep Learning for Intelligent Human–Computer Interaction
    Z. Lv, F. Poiesi, Q. Dong, J. Lloret, H. Song
    Applied Sciences, vol. 12, no. 22, pp. 1-28, Nov 2022

  • Loop closure detection using local 3D deep descriptors
    Y. Zhou, Y. Wang, F. Poiesi, Q. Qin, Y. Wan
    IEEE Robotics Automation Letters, vol. 7, no. 3, pp. 6335-6342, Jul 2022

  • Performance Comparison of Image Enhancers with and without Deep Learning
    M. Lecca, F. Poiesi
    Journal of the Optical Society of America A, vol. 39, no. 19, pp. 610-620, Apr 2022

  • An open-source mobile-based system for synchronised multi-view capture and dynamic object reconstruction
    M. Bortolon, F. Poiesi
    Software Impacts, Elsevier, vol. 9, Aug 2021

  • Multi-view data capture for dynamic object reconstruction using handheld augmented reality mobiles
    M. Bortolon, L. Bazzanella, F. Poiesi
    Journal of Real-Time Image Processing, Springer, vol. 18, pp. 345–355, Mar 2021

  • Point Clouds from Smartphones - Cheap and Rapid 3D Modelling
    E. Nocerino, F. Poiesi, F. Remondino, L. Van Gool
    GIM International, vol. 32, no. 3, pp. 18-21, Mar 2018

  • Support Vector Motion Clustering
    I.A. Lawal, F. Poiesi, D. Anguita, A. Cavallaro
    IEEE Trans. on Circuits and Systems for Video Technology, vol. 27, no. 11, pp. 2395-2408, Nov 2017

  • Tracking multiple high-density homogeneous targets
    F. Poiesi, A. Cavallaro
    IEEE Trans. on Circuits and Systems for Video Technology, vol. 25, no. 4, pp. 623-637, Apr 2015

  • Predicting and recognizing human interactions in public spaces
    F. Poiesi, A. Cavallaro
    Journal of Real-Time Image Processing, Springer, vol. 10, pp. 785-803, Dec 2015

  • Measures of effective video tracking
    T. Nawaz, F. Poiesi, A. Cavallaro
    IEEE Trans. on Image Processing, vol. 23, no. 1, pp. 376-388, Jan 2014

  • Multi-target tracking on confidence maps: an application to people tracking
    F. Poiesi, R. Mazzon, A. Cavallaro
    Computer Vision and Image Understanding, Elsevier, vol. 117, no. 10, pp. 1257-1272, Oct 2013

Conference papers

  • Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection
    M.L. Mekhalfi, D.Boscaini, F. Poiesi
    British Machine Vision Conference (BMVC), Aberdeen, UK, Nov 2023

  • Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation
    J. Corsetti, D. Boscaini, F. Poiesi
    IEEE Proc. of International Conference on Computer Vision (ICCV) Workshops, Paris, FR, Oct 2023

  • VM-NeRF: Tackling Sparsity in NeRF with View Morphing
    M. Bortolon, A. Del Bue, F. Poiesi
    IEEE Proc. of International Conference on Image Analysis and Processing (ICIAP), Udine, IT, Sep 2023

  • Novel Class Discovery for 3D Point Cloud Semantic Segmentation
    L. Riz, C. Saltori, E. Ricci, F. Poiesi
    IEEE Proc. of Computer Vision and Pattern Recognition (CVPR), Vancouver, CA, Jun 2023

  • The MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios
    L. Riz, A. Caraffa, M. Bortolon, M.L. Mekhalfi, D. Boscani, A. Moura, J. Antunes, A. Dias, H. Silva, A. Leonidou, C. Constantinides, C. Keleshis, D. Abate, F. Poiesi
    IEEE Proc. of Computer Vision and Pattern Recognition (CVPR) Workshops, Vancouver, CA, Jun 2023

  • 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
    B. Kiefer, M. Kristan, J. Pers, L. Zust, F. Poiesi, et al.
    IEEE Proc. of Winter Conference on Applications of Computer Vision (WACV) Workshops, Waikoloa, US, Jan 2023

  • Overlap-guided Gaussian Mixture Models for Point Cloud Registration
    G. Mei, F. Poiesi, C. Saltori, J. Zhang, E. Ricci, N. Sebe
    IEEE Proc. of Winter Conference on Applications of Computer Vision (WACV), Waikoloa, US, Jan 2023

  • Detection-aware multi-object tracking evaluation
    J.C. SanMiguel, J. Munoz, F. Poiesi
    IEEE Proc. of Advanced Video and Signal-Based Surveillance (AVSS), Madrid, ES, Nov 2022

  • Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
    G. Mei, C. Saltori, F. Poiesi, J. Zhang, E. Ricci, N. Sebe, Q. Wu
    Proc. of British Machine Vision Conference (BMVC), London, UK, Nov 2022 (Oral)

  • CoSMix: Compositional semantic mix for domain adaptation in 3D LiDAR segmentation
    C. Saltori, F. Galasso, G. Fiameni, N. Sebe, E. Ricci and F. Poiesi
    Proc. of European Conference on Computer Vision (ECCV), Tel Aviv, IL, Oct 2022 (Poster)

  • GIPSO: Geometrically informed propagation for online adaptation in 3D LiDAR segmentation
    C. Saltori, E. Krivosheev, S. Lathuiliere, N. Sebe, F. Galasso, G. Fiameni, E. Ricci and F. Poiesi
    Proc. of European Conference on Computer Vision (ECCV), Tel Aviv, IL, Oct 2022 (Poster)

  • Distinctive 3D local deep descriptors
    F. Poiesi, D. Boscaini
    IEEE Proc. of Int'l Conference on Pattern Recognition (ICPR), Virtual Milan, IT, Jan 2021 (Poster)

  • Localisation of defects in volumetric Computed Tomography scans of valuable wood logs
    D. Boscaini, F. Poiesi, S. Messelodi, A. Younes, D.A. Grande
    Int'l Workshop on Industrial Machine Learning @ IEEE ICPR, Virtual Milan, IT, Jan 2021 (Oral)

  • Novel-View Human Action Synthesis
    M.I. Lakhal, D. Boscaini, F. Poiesi, O. Lanz, A. Cavallaro
    Asian Conference on Computer Vision (ACCV), Virtual Kyoto, JP, Nov 2020 (Poster)

  • Multi-view data capture using edge-synchronised mobiles
    M. Bortolon, P. Chippendale, S. Messelodi, F. Poiesi
    Int'l Conference on Computer Vision Theory and Applications (VISAPP), Valletta, Malta, Feb 2020 (Oral)

  • 3D Shape Segmentation with Geometric Deep Learning
    D. Boscaini, F. Poiesi
    Int'l Conference on Image Analysis and Processing (ICIAP), Trento, IT, Sep 2019 (Spotlight)

  • Seamless bare-hand interaction in Mixed Reality
    C. Battisti, S. Messelodi, F. Poiesi
    IEEE Proc. of Int'l Symposium on Mixed and Augmented Reality (ISMAR), Munich, DE, Oct 2018 (Poster)

  • A distributed vision-based consensus model for aerial-robotic teams
    F. Poiesi, A. Cavallaro
    IEEE Proc. of Intelligent Robots and Systems (IROS), Madrid, ES, Oct 2018 (Oral)

  • Distributed data exchange with Leap Motion
    M. Pani, F. Poiesi
    Int. Conference on Augmented Reality, Virtual Reality and Computer Graphics, Lecce, IT, Jun 2018 (Oral)

  • 3Dnow: image-based 3D reconstruction and modeling via web
    Y. Tefera, F. Poiesi, D. Morabito, F. Remondino, E. Nocerino, P. Chippendale
    Towards photogrammetry 2020, Trento, IT, Jun 2018 (Oral)

  • Cloud-based collaborative 3D reconstruction using smartphones
    F. Poiesi, A. Locher, P. Chippendale, E. Nocerino, F. Remondino, L. Van Gool
    European Conference on Visual Media Production (CVMP), London, UK, Dec 2017 (Oral)

  • Towards gesture-based multi-user interactions in collaborative virtual environments
    N. Pretto, F. Poiesi
    Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 203-208, 2017 (Oral)

  • 3D Reconstruction with a collaborative approach based on smartphones and a cloud-based server
    E. Nocerino, F. Poiesi, A. Locher, Y.T. Tefera, F. Remondino, P. Chippendale, L. Van Gool
    Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 187-194, 2017 (Oral)

  • A Smartphone-based pipeline for the creative industry - The REPLICATE project
    E. Nocerino, F. Lago, D. Morabito, F. Remondino, L. Porzi, F. Poiesi, S. Rota Bulo', P. Chippendale, A. Locher, M. Havlena, L. Van Gool, M. Eder, A. Fotschl, A. Hilsmann, L. Kausch, P. Eisert
    Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3, 535-541, 2017 (Oral)

  • Online multi-target tracking with strong and weak detections
    R. Sanchez Matilla, F. Poiesi, A. Cavallaro
    European Conference on Computer Vision (ECCV): Benchmarking Multi-target Tracking: MOTChallenge 2016, Amsterdam, NL, Oct 2016 (Oral)

  • Detection of fast incoming objects with a moving camera
    F. Poiesi, A. Cavallaro
    British Machine Vision Conference (BMVC), York, UK, Sep 2016 (Oral)

  • Distributed vision-based flying cameras to film a moving target
    F. Poiesi, A. Cavallaro
    IEEE Proc. of Intelligent Robots and Systems (IROS), Hamburg, GE, Sep 2015 (Oral)

  • Self-positioning of a team of flying smart cameras
    F. Poiesi, A. Cavallaro
    IEEE Proc. of Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Singapore, Apr 2015 (Oral)

  • MTTV: an interactive trajectory visualization and analysis tool
    F. Poiesi, A. Cavallaro
    Proc. of Information Visualization Theory and Applications (IVAPP), Berlin, GE, Mar 2015 (Poster)

  • Assessing tracking assessment measures
    T. Nawaz, F. Poiesi, A. Cavallaro
    IEEE Proc. of Image Processing (ICIP), Paris, FR, Oct 2014 (Poster)

  • Detection and tracking of groups in crowd
    R. Mazzon, F. Poiesi, A. Cavallaro
    IEEE Proc. of Advanced Video and Signal-Based Surveillance (AVSS), Krakow, PL, Aug 2013 (Poster)

  • Detector-less ball localization using context and motion flow analysis
    F. Poiesi, F. Daniyal, A. Cavallaro
    IEEE Proc. of Image Processing (ICIP), Hong Kong, CN, Sep 2010 (Poster)

Book chapters

  • Towards cognitive and perceptive video systems
    T. Akgun, C. Attwood, A. Cavallaro, C. Fabre, F. Poiesi, P. Szczuko
    Human Behaviour Understanding in Networked Sensing, Springer, Dec 2014

  • Multi-target tracking in video
    F. Poiesi, A. Cavallaro
    Academic Press Library in Signal Processing: Volume 4, (Ed. S. Theodoridis), Elsevier, Sep 2013

Demos

  • 3D reconstruction in your pocket
    F. Poiesi and P. Chippendale
    Mathematics for Computer Vision, Trento, IT, Feb 2018
    pdf

  • REPLICATE project
    M. Galanti, A. Ragazzon, F. Poiesi, P. Chippendale
    EuroVR, Laval, FR, Dec 2017

  • 360-video authoring pipeline using user-generated 3D models
    F. Poiesi, P. Chippendale, J. Ceballos, R. Harris, E. Nocerino, F. Remondino
    European Conference on Visual Media Production (CVMP), London, UK, Dec 2017
    pdf

  • REPLICATE project
    A. Foetschl, F. Poiesi, P.Chippendale
    AWE Europe, Munich, DE, Oct 2017

  • Replicare in 3D
    F. Poiesi, E. Nocerino
    European Researchers' Night, Trento, IT, Sep 2017
    video (local news - RTTR)

Theses

  • Multi-target tracking and performance evaluation on videos
    F. Poiesi
    PhD Thesis, Queen Mary University of London, United Kingdom, Dec 2013
    Advisor: Prof. Andrea Cavallaro. Examiners: Dr. Krystian Mikolajczyk (University of Surrey, UK), Dr. Lewis Griffin (University College London, UK)
    QMUL webpage

  • Motion-based ball localisation through motion flow analysis
    F. Poiesi
    MSc Thesis, Universita' degli studi di Brescia, Italy, Mar 2010
    Advisor: Prof. Riccardo Leonardi. Co-advisor: Prof. Andrea Cavallaro

  • Development of an application for the visualisation of dynamic video summaries
    F. Poiesi
    BSc Thesis, Universita' degli studi di Brescia, Italy, Nov 2007
    Advisor: Dr. Sergio Benini. Co-advisor: Dr. Pierangelo Migliorati