Tomas Pajdla Associate Professor & Distinguished Researcher, Leader of AAG Group AAG - Applied Algebra & Geometry Group Czech Institute of Informatics, Robotics and Cybernetics Czech Technical University in Prague Visiting Associate Professor National Institute of Informatics, Tokyo  pajdla@cvut.cz  pajdla Get to us: Office B-638 CIIRC Building B Jugoslavskych partyzanu 3, 16000 Prague, Czechia				ELLIS Fellow CVF Member IEEE Member SIAM Member
News	Research	ResTopics	Software	Projects
2020 Nov ACCV 2020 Program Chair 2020 Sep ELLIS Unit @ CIIRC established 2020 Sep ECCV 2020 4 papers (1 spotlight) 2020 Jun CVPR 2020 3 papers (1 oral) 2019 Oct  ICCV 2019 Best Student Paper …see past news	Interests	Computer Vision, Applied Algebraic Geometry, Machine Learning, Robotics, Optimization
	Papers	See my Scholar, DBLP & arXiv
	Talks	Minimal Problems in Computer Vision @ ICERM 2018, Algebraic Geometry & 3D Reconstruction @ ISPRS 2016, Solving Minimal Problems in Computer Vision Tutorial @ ICCV 2015,  Omnidirectional Vision Course @ ICCV 2003, Stereo Geometries of Non-central Cameras 2001, How to write a good paper 2017
	Teaching	Geometry of Computer Vision and Computer Graphics (CTU in Prague), Advanced Robotics (CTU in Prague), Geometry of Computer Vision (Charles University in Prague), Geometry of Computer Vision (Ukrainian Catholic Uni in Lviv)
	Links	ELLIS, CVF, CMP, CIIRC Assembly, INRIA Willow, MAGIK Eye

Alumni

C Albl PhD 2019 (ETH Zurich)

P Hruby Bc 2019 (CTU Prague)
V Korotynskiy Bc, MSc 2020 (CTU Prague)
S Steidl MSc 2018 (CTU Prague)

P Trutman MSc/BSc 2018 (CTU Prague)
P Gronat PhD 2017 (AVAST)

O Rybkin BSc 2017 (U Penn)

J Heller PhD 2016 (MAGIK Eye)

F Srajer MSc 2016 (ETH Zurich)

V Smutny PhD 2016 (CTU Prague)

M. Polic MSc 2015 (CTU Prague)

M Jancosek PhD 2015 (Capturing Reality)

Z Kukelova PhD 2013 (Microsoft Resrch)

M Bujnak PhD 2013 (Capturing Reality)

M Havlena PhD 2012 (ETH Zurich)

C Albl MSc 2011 (CTU Prague)

J Smisek MSc 2011 (Delft University)

J Knopp MSc 2009 (KU Leuven)

T Ehlgen PhD 2008 (Bosch)

H Bakstein PhD 2006 (EU Patent Office)

B Micusik PhD 2004 (Stanford University)

D Martinec PhD 2003 (Microsoft)

J Sivic MSc 2002 (Oxford University)

O Chum MSc 2001 (CTU in Prague)

R Horcik MSc 2001 (CTU in Prague)

T Svoboda PhD 2000 (ETH Zurich)

Research
	Long-Term Visual Localization Revisited C Toft, W Maddern, A Torii, L Hammarstrand, E Stenborg, D Safari, M Okutomi, M Pollefeys, J Sivic, T Pajdla, F Kahl, T Sattler IEEE TPAMI 2020 | pdf
	Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion Z Kukelova, C. Albl, A Sugimoto, T Pajdla, K Schindler ECCV 2020 (spotlight) | pdf | supp
	PL1P – Point-line Minimal Problems under Partial Visibility in Three Views T Duff, K Kohn, A Leykin, T Pajdla ECCV 2020 | pdf | supp | github
	On the Usage of the Trifocal Tensor in Motion Segmentation F Arrigoni, L Magri, T Pajdla ECCV 2020 | pdf | supp
	Making Affine Correspondences Work in Camera Geometry Computation D Barath, M Polic,  Z Kukelova, T Sattler, W Forstner, T Pajdla ECCV 2020 | pdf | supp
	NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences I Rocco, M Cimpoi, R Arandjelovic, A Torii, T Pajdla, J Sivic IEEE TPAMI 2020 pdf | NeurIPS 2018 pdf | arXiv | Project page
	Rolling Shutter Camera Absolute Pose C Albl, Z Kukelova, V Larsson, T Pajdla IEEE PAMI 42:(6) 1439-1452, 2020 | pdf | github
	From Two Rolling Shutters to One Global Shutter C Albl, Z Kukelova, V Larsson, M Polic, T Pajdla, K Schindler CVPR 2020 (oral) | pdf | supp | arXiv | github
	TRPLP – Trifocal Relative Pose from Lines at Points R Fabbri, T Duff, H Fan, M H Regan, D da Costa de Pinho, E Tsigaridas, C W Wampler, J D Hauenstein, P J Giblin, B Kimia, A Leykin, T Pajdla CVPR 2020 | paper | supp | arXiv | Minus @ github
	Robot Self-Calibration Using Multiple Kinematic Chains - A Simulation Study on the iCub Humanoid Robot K Stepanova, T Pajdla, M Hoffmann IEEE Robotics Automation Letters 2019 | IEEE Explore | pdf
	PLMP – Point-Line Minimal Problems in Complete Multi-View Visibility T Duff, K Kohn, A Leykin, T Pajdla ICCV 2019 | paper | arXiv | github (oral) The Best Student Paper
	Robust Motion Segmentation from Pairwise Matches. F Arrigoni, T Pajdla ICCV 2019 | paper | arXiv
	Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization H Taira, I Rocco, J Sedlar, M Okutomi, J Sivic, T Pajdla, T Sattler, A Torii ICCV 2019 | paper | arXiv | Project page
	D2-Net: A Trainable CNN for Joint Description and Detection of Local Features M Dusmanu, I Rocco, T Pajdla, M Pollefeys, J Sivic, A Torii, T Sattler CVPR 2019 | pdf | Supplementary material | Project page
	Linear solution to the minimal absolute pose rolling shutter problem Z Kukelova, C Albl, A Sugimoto, T Pajdla ACCV 2018 | paper |arXiv
	Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction M Polic, W Förstner, T Pajdla ECCV 2018 | paper |arXiv
	Beyond Gröbner Bases: Basis Selection for Minimal Solvers V Larsson, M Oskarsson, K Åström, A Wallis, Z Kukelova, T Pajdla CVPR 2018 pdf | paper |arXiv
	InLoc: Indoor Visual Localization with Dense Matching and View Synthesis H Taira, M Okutomi, T Sattler, M Cimpoi, M Pollefeys, J Sivic, T Pajdla, A Torii CVPR 2018 pdf | arXiv | Project page | bib
	Benchmarking 6DOF Urban Visual Localization in Changing Conditions T Sattler, W Maddern, C Toft, A Torii, L Hammarstrand, E Stenborg, D Safari, M Okutomi, M Pollefeys, J Sivic, F Kahl, T Pajdla CVPR 2018 pdf | arXiv | Project page
	24/7 Place Recognition by View Synthesis A Torii, R Arandjelovic, J Sivic, M Okutomi, T Pajdla IEEE TPAMI 2018 pdf | CVPR 2015 pdf | Project page+data+code
	NetVLAD: CNN architecture for weakly supervised place recognition R Arandjelovic, P Gronat, A Torii, T Pajdla and J Sivic IEEE PAMI 2018 pdf | CVPR 2016 pdf | Project page (oral) | video
	Camera Uncertainty Computation in Large 3D Reconstruction M Polic, T Pajdla 3DV 2017 pdf | Project page
	Nautilus: recovering regional symmetry transformations for image editing M Lukac, D Sykora, K Sunkavalli, E Shechtman, O Jamriska, N Carr, T Pajdla SIGGRAPH 2017 | ACM TOG Journal PDF | Project page
	Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization? T Sattler, A Torii, J Sivic, M Pollefeys, H Taira, M Okutomi, T Pajdla CVPR 2017 | pdf | Project page
	On the Two-View Geometry of Unsynchronized Cameras C Albl, Z Kukelova, A Fitzgibbon, J Heller, M Smid, T Pajdla CVPR 2017 | pdf | Supplementary | github
	A clever elimination strategy for efficient minimal solvers Z Kukelova, J Kileel, B Sturmfels, T Pajdla CVPR 2017 | pdf | Supplementary | arXiv
	Distortion varieties J Kileel, Z Kukelova, T Pajdla, B Sturmfels Foundations of Computational Mathematics | arXiv
	Degeneracies in rolling shutter SfM C Albl, A Sugimoto, T Pajdla ECCV 2016 | LNCS | pdf
	Globally optimal hand-eye calibration using branch-and-bound J Heller, M Havlena, T Pajdla IEEE TPAMI 2016 | pdf
	Learning and Calibrating Per-Location Classifiers for Visual Place Recognition P Gronat, J Sivic, G Obozinski, T Pajdla IJCV 2016 pdf | CVPR 2013 pdf
	GpoSolver: a Matlab/C++ toolbox for global polynomial optimization J Heller, T Pajdla Optimization Methods and Software 2016 | pdf | Software

Software from AAG

Minimal problem classification in M2

Automatic Generator of Minimal Solvers

YASM – Yet Another SfM

CMP SfM Webservice
CMPMVS  – MV Stereo (AliceVision)

GpoSolver – Global Polynom Optimization

radhomo-0.1 – Rad Dist Homogrphy [pdf]

F10-0.1 – Rad Relative Pose [pdf]

bbhec – BB Hand-Eye Optimization

mpherwc – Hand-Eye & R-W Cal [pdf]

minhec – Hand-Eye Cal Minimal [pdf]

polyopt  –  Polynom Opt by SDP Relax

TE-inversion – Uncertainty propag in SfM

Projects

2019 SPRING project (H 2020 EU)

2019 ARtwin project (H 2020 EU)

2017

2017 IMPACT Project (EU & MSMT)

2017  & CTU Research Lab

2016 LADIO Project (H2020 EU)

Student Research Topics	Research topics for PhD, MSc and BSc students.
	3D Scene Reconstruction from Images 3D scene reconstruction from images is a fundamental problem of computer vision. It finds many applications in industry ranging from autonomous driving to movie special effects. The topic is best for students with interest in algorithms, experimental work, and engineering of really working systems. Algebraic Methods in Computer Vision and Robotics Algebraic techniques have proved very useful in solving difficult problems in geometry of computer vision. We will aim at studying more advanced elements of algebraic geometry and applying them to real engineering problems. The topic is best for students with interest in applied mathematics. Image-based Scene Recognition and Visual Localization Visual scene recognition and image-based localization is an important problem in computer vision and machine learning. We will aim developing new approaches to place representation and its search. The topic is suitable for students with interest computer vision and machine learning applied to real engineering problems. Polynomial Optimization in Computer Vision and Robotics Polynomial optimization techniques proved very useful in solving interesting problems in geometry of computer vision and robotics. We will aim at studying more polynomial optimization techniques and applying them in computer vision and robotics. The topic is suitable for students with interest in applied mathematics but used on real engineering problems.
Past News	2019 Oct  ICCV 2019 1 oral + 2 papers, 2019 Oct  ICCV 2019 3DRW workshop, 2019 Aug SPRING H2020 project granted, 2019 Jun  CVPR 2019 paper, 2019 Mar  ARtwin H2020 Project granted, 2018 December ELLIS Founded, Papers @ NeurIPS 2018 & ACCV 2018, 2018 Sep-Dec. 2019 Feb/May, Visiting ICERM @ Brown University, 2018 September Paper @ ECCV 2018, 2018 June 3 Papers @ CVPR 2018, 2018 June  Minimal Problems Tutorial, 2018 June CVPR 2019 Workshop on Autonomous driving, 2018 June CVPR 2019 Workshop on LT Visual Localization ,2018 March GC of 3DRW Workshop @ ECCV 2018, 2017 September Continental project, 2017 September PC of 3DV 2018,  2017 July J Heller received CSKI Prize 4 his PhD, 2017 July 3 Papers @ CVPR 2017, 2017 June IMPACT project with INRIA started,  2017 May MAGIK Eye – CTU Common Lab founded, 2016 November PC of ACCV 2020, June 2016 3 papers @ CVPR 2016, June 2015 3 papers @ CVPR 2015, January 2015 LADIO EU Project starts.
	©Tomas Pajdla 2017-2021