New: ICCV 2019 papers & workshops … see below!

We apply algebra, geometry, statistics and optimization to computer vision, robotics and machine learning.

We are part of Robotics and Machine Perception at the Czech Institute of Informatics, Robotics and Cybernetics and of the Center for Machine Perception  at the Czech Technical University in Prague.

We are funded by

  • ARtwin – Solutions for Industry and Construction 4.0
  • IMPACT – Intelligent Machine Perception Project
  • R4I – Robotics for Industry 4.0 Project
  • CONTINENTAL AG Research Collaboration
  • MAGIK Eye – CTU Laboratory

News

October 2019 – AAG (T Pajdla co-organizer) organizes
ICCV 2019 Workshop on 3D Reconstruction in the Wild

We are interested in 3D reconstruction techniques capable of operating in unconstrained conditions which are robust and/or real-time including multi-camera calibration, feature extraction, matching, data fusion, depth learning, and meshing techniques to 3D modeling approaches.

June 2019 – AAG (T Pajdla co-organizer) organizes
CVPR 2019 Tutorial on The Art of Solving Minimal Problems

Minimal solvers play an important role in many computer vision problems such as 3D Reconstruction, Visual Localization, Augmented/Mixed Reality, Visual Odometry or Robotics. The goal of the tutorial is to explain the principles behind solving minimal problems and give practical means for engineers and researchers to be able apply the recent methods.

June 2019 – AAG (T Pajdla program co-chair) organizes
CVPR 2019 Workshop on Workshop on Autonomous Driving

The CVPR 2019 Workshop on Autonomous Driving (WAD) gathers researchers and engineers from academia and industry to discuss the latest advances in perception for autonomous driving, arguably the most promising application of computer vision and AI in general.

June 2019 – AAG (T Pajdla co-organizer) organizes
CVPR 2019 Workshop on Long-Term Visual Localization under Changing Conditions

Visual localization is the problem of (accurately) estimating the position and orientation, i.e., the camera pose, from which an image was taken with respect to some scene representation. It is a vital component in many interesting Computer Vision and Robotics scenarios, including autonomous vehicles such as self-driving cars and other robots, Augmented/Mixed/Virtual Reality, Structure-from-Motion, and SLAM.

June 2019 – ARTWIN Solutions for Industry and construction 4.0
EU H-2020 Project (Partners: Q-PLAN, B<>COM, Siemens, CTU in Prague, Nokia Bell Labs, Holo-Light, Artefacto)

Project signed. Kick-off on 1 Oct 2019.

8 Dec 2018 – ACCV 2018 best paper
J Pritts, Z Kukelova, V Larsson, O Chum.
Rectification from Radially-Distorted Scales.
ACCV 2018

6 Dec 2018 – AAG Participated at creation of ELLIS Society – European Laboratory for Learning and Intelligent Systems

Recent Results

T Duff, K Kohn, A Leykin, T Pajdla. PLMP – Point-Line Minimal Problems in Complete Multi-View Visibility. ICCV 2019 | pdf (ORAL)


F Arrigoni, T Pajdla. Robust Motion Segmentation From Pairwise Matches. ICCV 2019 | pdf


H Taira, I Rocco, J Sedlar, M Okutomi, J Sivic, T Pajdla, T Sattler, A Torii. Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization . ICCV 2019 | pdf | project page


Z Li, J Sedlar, J Carpentier, I Laptev, N Mansard, J Sivic. Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video. CVPR 2019 | pdf (ORAL)


D Zhukov, J-B Alayrac, R G Cinbis, D Fouhey, I Laptev, J Sivic. Cross-Task Weakly Supervised Learning From Instructional Videos. CVPR 2019 | pdf


M Dusmanu, I Rocco, T Pajdla, M Pollefeys, J Sivic, A Torii, T Sattler. D2-Net: A Trainable CNN for Joint Description and Detection of Local Features. CVPR 2019 | pdf | supp


C Albl, Z Kukelova, V Larsson, T Pajdla. Rolling Shutter Camera Absolute Pose. IEEE PAMI 2019  | pdf


K Stepanova, T Pajdla, M Hoffmann. Robot Self-Calibration Using Multiple Kinematic Chains—A Simulation Study on the iCub Humanoid Robot. IEEE Robotics and Automation Letters 2019 (4)  | pdf


I Rocco, M Cimpoi, R Arandjelović, A Torii, T Pajdla, J Sivic. Neighbourhood Consensus Networks. NeurIPS 2018  | arXiv


Z Kukelova, C Albl, A Sugimoto, T Pajdla. Linear solution to the minimal absolute pose rolling shutter problem. ACCV 2018  | pdf


J Pritts, Z Kukelova, V Larsson, O Chum. Rectification from Radially-Distorted Scales. ACCV 2018 (ACCV 2018 Best Paper Award) | arXiv


L Magerand, A Del Bue. Revisiting Projective Structure for Motion: A Robust and Efficient Incremental Solution. IEEE PAMI 2018 | pdf


F Arrigoni, A Fusiello. Bearing-based Network Localizability: a Unifying View. IEEE PAMI 2018 | pdf


V Larsson, M Oskarsson, K Åström, A Wallis, Z Kukelova, T Pajdla. Beyond Gröbner Bases: Basis Selection for Minimal Solvers. CVPR 2018 pdf | arXiv


H Taira, M Okutomi, T Sattler, M Cimpoi, M Pollefeys, J Sivic, T Pajdla, A Torii. InLoc: Indoor Visual Localization with Dense Matching and View Synthesis. CVPR 2018 pdf | arXiv | project page


T Sattler, W Maddern, C Toft, A Torii, L Hammarstrand, E Stenborg, D Safari, M Okutomi, M Pollefeys, J Sivic, F Kahl, T Pajdla. Benchmarking 6DOF Urban Visual Localization in Changing Conditions. CVPR 2018 pdf | arXiv | benchmark


J Kileel, Z Kukelova, T Pajdla, B Sturmfels. Distortion varieties. Foundations of Computational Mathematics 2018| arXiv


A Torii, R Arandjelovic, J Sivic, M Okutomi, T Pajdla. 24/7 Place Recognition by View Synthesis. IEEE TPAMI 2018 pdf | CVPR 2015 pdf | Project page+data+code


R Arandjelovic, P Gronat, A Torii, T Pajdla and J Sivic. NetVLAD: CNN architecture for weakly supervised place recognition. IEEE PAMI 2018 pdf | CVPR 2016 (ORAL) pdf | Project page | video


See more results