publications

2025

  1. LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones
    Moritz Nottebaum, Matteo Dunnhofer, and Christian Micheloni
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
    arXiv

2024

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    Visual tracking in camera-switching outdoor sport videos: Benchmark and baselines for skiing
    Matteo Dunnhofer, and Christian Micheloni
    Computer Vision and Image Understanding, 2024
    HTML Video Code Website
  2. Tracking Skiers from the Top to the Bottom
    Matteo Dunnhofer, Luca Sordi, Niki Martinel, and Christian Micheloni
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
    arXiv HTML Video Code Website

2023

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    Visual Object Tracking in First Person Vision
    Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, and Christian Micheloni
    International Journal of Computer Vision, 2023
    arXiv HTML Code Website
  2. cvprw2023.jpg
    Visualizing Skiers’ Trajectories in Monocular Videos
    Matteo Dunnhofer, Luca Sordi, and Christian Micheloni
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), CVsports workshop, 2023
    arXiv HTML Video Website
  3. Automatic Video-Based Reconstruction of the Trajectories Performed by Skiers
    Matteo Dunnhofer, and Christian Micheloni
    In 9th International Congress on Science and Skiing (ICSS), 2023
  4. LBKENet: Lightweight Blur Kernel Estimation Network for Blind Image Super-Resolution
    Asif Hussain Khan, Rao Muhammad Umer, Matteo Dunnhofer, Christian Micheloni, and Niki Martinel
    In International Conference on Image Analysis and Processing (ICIAP), 2023
    HTML
  5. The First Visual Object Tracking Segmentation VOTS2023 Challenge Results
    Matej Kristan, Jiřı́ Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Čehovin Zajc, Alan Lukežič, and 4 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Visual Object Tracking Segmentation Challenge VOTS2023 workshop, 2023
    HTML

2022

  1. Young drivers’ pedestrian anti-collision braking operation data modelling for ADAS development
    Matteo Miani, Matteo Dunnhofer, Christian Micheloni, Andrea Marini, and Nicola Baldo
    Transportation Research Procedia, Living and Walking in Cities Conference (LWC) 2021, 2022
    HTML
  2. imavis2022.png
    Combining complementary trackers for enhanced long-term visual object tracking
    Matteo Dunnhofer, Kristian Simonato, and Christian Micheloni
    Image and Vision Computing, 2022
    HTML Code
  3. Visual Object Tracking with Deep Learning
    Matteo Dunnhofer
    University of Udine, 2022
    HTML
  4. Deep convolutional feature details for better knee disorder diagnoses in magnetic resonance images
    Matteo Dunnhofer, Niki Martinel, and Christian Micheloni
    Computerized Medical Imaging and Graphics, 2022
    HTML Code
  5. CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking
    Matteo Dunnhofer, and Christian Micheloni
    In International Conference on Pattern Recognition (ICPR), 2022
    arXiv HTML Code
  6. The tenth visual object tracking vot2022 challenge results
    Matej Kristan, Aleš Leonardis, Jiřı́ Matas, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, and 4 more authors
    In European Conference on Computer Vision (ECCV), Visual Object Tracking Challenge VOT2022 workshop, 2022
    HTML

2021

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    Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation
    Matteo Dunnhofer, Niki Martinel, and Christian Micheloni
    IEEE Robotics and Automation Letters, 2021
    arXiv HTML Video
  2. Lord of the Rings: Hanoi Pooling and Self-Knowledge Distillation for Fast and Accurate Vehicle Re-Identification
    Niki Martinel, Matteo Dunnhofer, Rita Pucci, Gian Luca Foresti, and Christian Micheloni
    IEEE Transactions on Industrial Informatics, 2021
    HTML
  3. Surrogate Safety Measures Prediction at Multiple Timescales in V2P Conflicts Based on Gated Recurrent Unit
    Matteo Miani, Matteo Dunnhofer, Christian Micheloni, Andrea Marini, and Nicola Baldo
    Sustainability, 2021
    HTML
  4. Bituminous Mixtures Experimental Data Modeling Using a Hyperparameters-Optimized Machine Learning Approach
    Matteo Miani, Matteo Dunnhofer, Fabio Rondinella, Evangelos Manthos, Jan Valentin, Christian Micheloni, and Nicola Baldo
    Applied Sciences, 2021
    HTML
  5. midl2021.png
    Improving MRI-based knee disorder diagnosis with pyramidal feature details
    Matteo Dunnhofer, Niki Martinel, and Christian Micheloni
    In International Conference on Medical Imaging with Deep Learning (MIDL), 2021
    HTML Video Code Poster Website
  6. Is First Person Vision Challenging for Object Tracking?
    Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, and Christian Micheloni
    In IEEE/CVF International Conference on Computer Vision (ICCV), Visual Object Tracking Challenge VOT2021 workshop, 2021
    arXiv HTML Video Code Website
  7. The Ninth Visual Object Tracking VOT2021 Challenge Results
    Matej Kristan, Jiřı́ Matas, Aleš Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, and 4 more authors
    In IEEE/CVF International Conference on Computer Vision (ICCV), Visual Object Tracking Challenge VOT2021 workshop, 2021
    HTML Video Code

2020

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    Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images
    Matteo Dunnhofer, Maria Antico, Fumio Sasazawa, Yu Takeda, Saskia Camps, Niki Martinel, Christian Micheloni, and 2 more authors
    Medical Image Analysis, 2020
    HTML Video
  2. Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy
    M Antico, F Sasazawa, M Dunnhofer, SM Camps, AT Jaiprakash, AK Pandey, R Crawford, and 2 more authors
    Ultrasound in Medicine & Biology, 2020
    HTML
  3. Automatic Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region, Using Deep Learning
    SM Camps, T Houben, G Carneiro, C Edwards, M Antico, M Dunnhofer, EGHJ Martens, and 4 more authors
    Ultrasound in Medicine & Biology, 2020
    HTML
  4. accv2020.jpg
    Tracking-by-Trackers with a Distilled and Reinforced Model
    Matteo Dunnhofer, Niki Martinel, and Christian Micheloni
    In Asian Conference on Computer Vision (ACCV), 2020
    arXiv HTML Video Code Website
  5. The eighth visual object tracking VOT2020 challenge results
    Matej Kristan, Aleš Leonardis, Jiřı́ Matas, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, and 4 more authors
    In European Conference on Computer Vision (ECCV), Visual Object Tracking Challenge VOT2020 workshop, 2020
    HTML
  6. An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers
    Matteo Dunnhofer, Niki Martinel, and Christian Micheloni
    In European Conference on Computer Vision (ECCV), Visual Object Tracking Challenge VOT2020 workshop, 2020
    arXiv HTML Video

2019

  1. iccvw2019.png
    Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator
    Matteo Dunnhofer, Niki Martinel, Gian Luca Foresti, and Christian Micheloni
    In IEEE/CVF International Conference on Computer Vision (ICCV), Visual Object Tracking Challenge VOT2019 workshop, 2019
    arXiv HTML Video Poster
  2. The seventh visual object tracking vot2019 challenge results
    Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Luka ˇCehovin Zajc, and 4 more authors
    In IEEE/CVF International Conference on Computer Vision (ICCV), Visual Object Tracking Challenge VOT2019 workshop, 2019
    HTML

2018

  1. Unsupervised Smoke Detection in Normally Smoking Environments
    Matteo Chini, Niki Martinel, Matteo Dunnhofer, Carlo Ceschia, and Christian Micheloni
    In International Conference on Distributed Smart Cameras (ICDSC), 2018
    DOI
  2. One-class Gaussian process regressor for quality assessment of transperineal ultrasound images
    Saskia Camps, Tim Houben, Davide Fontanarosa, Christopher Edwards, Maria Antico, Matteo Dunnhofer, Esther Martens, and 4 more authors
    In International Conference on Medical Imaging with Deep Learning (MIDL), 2018
    HTML
  3. Quality assessment of transperineal ultrasound images of the male pelvic region using deep learning
    Saskia Camps, Tim Houben, Christopher Edwards, Maria Antico, Matteo Dunnhofer, Esther Martens, Jose Baeza, and 4 more authors
    In IEEE International Ultrasonics Symposium (IUS), 2018
    HTML

2017

  1. Person re-identification via unsupervised transfer of learned visual representations
    Niki Martinel, Matteo Dunnhofer, Gian Luca Foresti, and Christian Micheloni
    In International Conference on Distributed Smart Cameras (ICDSC), 2017
    HTML