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Jonáš Šerých

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
ORCID 0000-0002-8699-9980

identity via Semantic Scholar / OpenAlex

activity
20232025
collaborators

4 papers

cs.CV2025

Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) Challenge

Adam Schmidt, Mert Asim Karaoglu, Soham Sinha +37

Understanding tissue motion in surgery is crucial to enable applications in downstream tasks such as segmentation, 3D reconstruction, virtual tissue landmarking, autonomous probe-b…

cs.CV2024

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation

Jonas Serych, Michal Neoral, Jiri Matas

In this work, we present MFTIQ, a novel dense long-term tracking model that advances the Multi-Flow Tracker (MFT) framework to address challenges in point-level visual tracking in…

cs.CV2024

Dense Matchers for Dense Tracking

Tomáš Jelínek, Jonáš Šerých, Jiří Matas

Optical flow is a useful input for various applications, including 3D reconstruction, pose estimation, tracking, and structure-from-motion. Despite its utility, the field of dense…

cs.CV2023

Planar Object Tracking via Weighted Optical Flow

Jonas Serych, Jiri Matas

We propose WOFT -- a novel method for planar object tracking that estimates a full 8 degrees-of-freedom pose, i.e. the homography w.r.t. a reference view. The method uses a novel m…

◍wovepaper

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