Monday, February 3rd
11:00 – 13:00 Arrival and registration
12:30 – 14:00 Lunch
14:00 – 14:10 Opening
14:10 – 15:00 Invited talk: Tatiana Tommasi
(title: Learning to Generalize with Self-Supervision)
15:00 – 15:30 Coffee Break
15:30 – 17:00 Session 1: Recognition, Segmentation and Biometrics
17:00 – 19:00 Free time: swimming
19:00 – 21:00 Dinner
21:00 – later Free time

Tuesday, February 4th
7:00 – 9:00 Breakfast
9:00 – 10:30 Session 2: 3D Computer Vision (1/2)
10:30 – 11:00 Coffee break
11:00 – 12:30 Session 3: 3D Computer Vision (1/2)
12:30 – 14:00 Lunch
14:00 – 15:30 Session 4: Video Analysis, Motion and Tracking
15:45 – 17:30 Social event: guided tour of the Rogaška glasswork
17:30 – 18:30 Free time: swimming
18:30 – 21:00 Dinner

Wednesday, February, 5th
7:00 – 9:00 Breakfast
9:00 – 10:30 Session 5: Vision Applications and Systems, Vision for Robotics
10:30 – 11:00 Coffee break
11:00 – 12:30 Session 6: Dataset and Evaluation
12:30 – 13:00 Awards, closing, CVWW2021
13:00 – 14:00 Lunch


Session 1: Recognition, segmentation and biometrics (session chair: Franc Solina)

  1. On Learning Vehicle Detection in Satellite Video
    Roman Pflugfelder*, Axel Weissenfeld, Julian Wagner
  2. EPOS: Estimating 6D Pose of Objects with Symmetries
    Tomas Hodan*, Dániel Baráth, Jiri Matas
  3. Training end-to-end neural network for weakly labeled defect detection
    Jakob Božič*, Danijel Skočaj, Domen Tabernik
  4. Learning privacy-enhancing face representations through feature disentanglement
    Marija Ivanovska, Blaž Bortolato*, Peter Rot, Peter Peer, Vitomir Štruc

Session 2: 3D Computer Vision (1/2) (session chair: Jiri Matas)

  1. MAGSAC++, a fast, reliable and accurate robust estimator
    Dániel Baráth*, Jiri Matas, Jana Noskova, Maksym Ivashechkin
  2. Novel Ways to Estimate Affine Transformations from Image Pairs
    Levente Hajder*, Zoltán Pusztai, Nghia Le Minh
  3. Homography Estimation from Images of a Vehicle-mounted Camera for Vertical and Horizontal Planes
    István Gergő Gál*, Dániel Baráth, Levente Hajder
  4. USACv20: robust essential, fundamental and homography matrix estimation
    Maksym Ivashechkin*, Dániel Baráth, Jiri Matas

Session 3: 3D Computer Vision (2/2) (session chair: Danijel Skočaj)

  1. General 3D Room Layout from a Single View by Render-and-Compare
    Sinisa Stekovic*, Friedrich Fraundorfer, Vincent Lepetit
  2. Sphere-based LiDAR-Camera Calibration
    Tekla Tóth*, Levente Hajder, Zoltán Pusztai
  3. Refining corresponding image regions under multi-view constraints
    Iván Eichhardt*, Dániel Baráth
  4. Segmentation and Recovery of Superquadric Models using Convolutional Neural Networks
    Jaka Šircelj*, Tim Oblak, Klemen Grm, Uroš Petković, Aleš Jaklic, Peter Peer, Vitomir Štruc, Franc Solina

Session 4: Video Analysis, Motion and Tracking (session chair: Matej Kristan)

  1. D3S – A Discriminative Single Shot Segmentation Tracker
    Alan Lukežič*, Jiri Matas, Matej Kristan
  2. Towards Data-driven Multi-target Tracking for Autonomous Driving
    Christian Fruhwirth-Reisinger*, Georg Krispel, Horst Possegger, Horst Bischof
  3. A new semi-supervised method improving optical flow on distant domains
    Tomáš Novák*, Jan Sochman, Jiri Matas
  4. movie2trailer:Unsupervised trailer generation using Anomaly detection
    Orest Rehusevych*

Session 5: Vision Applications and Systems, Vision for Robotics
(session chair: Vaclav Hlavac)

  1. Kornia — an Open Source Differentiable Computer Vision Library for PyTorch
    Edgar Riba, Dmytro Mishkin*, Daniel Ponsa, Ethan Rublee, Gary R Bradski
  2. A water-obstacle separation and refinement network for unmanned surface vehicles
    Borja Bovcon*, Matej Kristan
  3. Learning to Predict Lidar Intensities
    Patrik Vacek*, Otakar Jasek, Karel Zimmermann, Tomas Svoboda
  4. Fungi Recognition: A Practical Use Case
    Milan Sulc*, Lukas Picek, Jiri Matas, Thomas Jeppesen, Jacob Heilmann-Clausen

Session 6: Dataset and Evaluation (session chair: Roman Pflugfelder)

  1. Image Matching across Wide Baselines: From Paper to Practice
    Yuhe Jin, Dmytro Mishkin*, Anastasiia Mishchuk, Pascal Fua, Jiri Matas, Kwang Moo Yi, Eduard Trulls
  2. CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images
    Mariia Dobko*, Bohdan Petryshak, Oles Dobosevych
  3. HOnnotate: A method for 3D Annotation of Hand and Objects Poses
    Shreyas Hampali*, Mahdi Rad, Markus Oberweger, Vincent Lepetit
  4. Practical high-speed motion sensing: event cameras vs. global shutter
    Ondrej Holesovsky*, Vaclav Hlavac, Radoslav Skoviera, Roman Vítek