Main Publications

  • Multi-Flow Tracker with Independent Matching Quality Estimation
    Jonáš Šerých, Michal Neoral, and Jiří Matas
    Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, February 2025, Tuscon, Arizona USA.
    pdf
    arXiv
    supplementary
    code
    project page

  • MFT: Long-term Tracking of Every Pixel
    Michal Neoral, Jonáš Šerých, and Jiří Matas
    Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 6837–6847, January 2024, Waikoloa, Hawaii USA.
    pdf
    arXiv
    supplementary
    code
    project page

  • Monocular Arbitrary Moving Object Discovery and Segmentation
    Michal Neoral, Jan Šochman, and Jiří Matas
    In The 32nd British Machine Vision Conference, November 2021, Online.
    pdf
    code

  • Continual Occlusion and Optical Flow Estimation
    Michal Neoral, Jan Šochman, and Jiří Matas
    Computer Vision – ACCV 2018. Ed. by C.V. Jawahar et al. Cham: Springer International Publishing, 2019, pp. 159–174. ISBN: 978-3-030-20870-7.
    pdf
    arXiv

  • Object Scene Flow with Temporal Consistency
    Michal Neoral, and Jan Šochman
    In 22nd Computer Vision Winter Workshop (CVWW) Pattern Recognition and Image Processing Group; TU Wien \& PRIP Club; Vienna; Austria, February 2017, ISBN: 978-3-200-04969-7.
    pdf

Other Publications

  • Point Tracking in Surgery–The 2024 Surgical Tattoos in Infrared (STIR) Challenge
    Adam Schmidt, Mert Asim Karaoglu, Soham Sinha, Mingang Jang, Ho-Gun Ha, Kyungmin Jung, Kyeongmo Gu, Ihsan Ullah, Hyunki Lee, Jonáš Šerých, Michal Neoral, Jiří Matas, Rulin Zhou, Wenlong He, An Wang, Hongliang Ren, Bruno Silva, Sandro Queiros, Estevao Lima, Joao L. Vilac, Shunsuke Kikuchi, Atsushi Kouno, Hiroki Matsuzaki, Tongtong Li, Yulu Chen, Ling Li, Xiang Ma, Xiaojian Li, Mona Sheikh Zeinoddin, Xu Wang, Zafer Tandogdu, Greg Shaw, Evangelos Mazomenos, Danail Stoyanov, Yuxin Chen, Zijian Wu, Alexander Ladikos, Simon DiMaio, Septimiu E. Salcudean, and Omid Mohareri
    pdf
    arXiv
    project page

Theses

  • Dense Motion Estimation in a Monocular Video
    Michal Neoral, supervisor: prof. Ing. Jiří Matas, Ph.D., co-supervisor: Mgr. Jan Šochman, Ph.D.
    2025 Dissertation, in review process

  • Object Scene Flow in Video Sequences
    Michal Neoral, supervisor: Mgr. Jan Šochman, Ph.D.
    2017 Master Thesis, awarded with the Dean's Prize for outstanding master thesis.

  • Extraction of Features from Moving Garment
    Michal Neoral, supervisor: Ing. Pavel Krsek, Ph.D.
    2014 Bachelor Thesis.

Patents and Patent Applications

  • MONOCULAR-VISION-BASED DETECTION OF MOVING OBJECTS
    Nikolay Chumerin, Michal Neoral, Jan Šochman, and Jiří Matas (2023).
    EP Patent EP4174770B1, filed Oct 28, 2021, and issued Nov 29, 2023. Granted Patent

  • A METHOD AND SYSTEM FOR TRACKING A PIXEL IN A VIDEO
    Nikolay Chumerin, Jonáš Šerých, Michal Neoral, and Jiří Matas. (2024).
    EP Patent EP4465239A1, filed May 16, 2023, and issued Nov 20, 2024. Patent Application

  • MONOCULAR-VISION-BASED DETECTION OF MOVING OBJECTS
    Nikolay Chumerin, Michal Neoral, Jan Šochman, and Jiří Matas. (2023).
    EP Patent EP4174770A1, filed Oct 28, 2021, and issued May 03, 2023. Patent Application

  • METHODS FOR OPTICAL FLOW ESTIMATION
    Jan Šochman, Nikolay Chumerin, Jiří Matas, and Michal Neoral. (2020).
    WO Patent WO2020088766A1, filed Oct 31, 2018, and issued May 07, 2020. Patent Application