Tomáš Hodaň

TOMÁŠ HODAŇ

PhD student in computer vision, supervised by prof. Jiří Matas
Center for Machine Perception, Czech Technical University in Prague

E-mail: hodantom@cmp.felk.cvut.cz
Office: G3, Karlovo náměstí 13, Prague (map)
Curriculum vitae | Google Scholar | LinkedIn | GitHub | Twitter

NEWS

PUBLICATIONS

T. Hodaň, D. Baráth, J. Matas
EPOS: Estimating 6D Pose of Objects with Symmetries
Conference on Computer Vision and Pattern Recognition (CVPR) 2020, Seattle
T. Hodaň, V. Vineet, R. Gal, E. Shalev, J. Hanzelka, T. Connell, P. Urbina,
S. N. Sinha, B. Guenter
Photorealistic Image Synthesis for Object Instance Detection
International Conference on Image Processing (ICIP) 2019, Taipei
T. Hodaň, F. Michel, E. Brachmann, W. Kehl, A. G. Buch, D. Kraft, B. Drost, J. Vidal, S. Ihrke, X. Zabulis, C. Sahin, F. Manhardt, F. Tombari, T.-K. Kim, J. Matas, C. Rother
BOP: Benchmark for 6D Object Pose Estimation
European Conference on Computer Vision (ECCV) 2018, Munich
T. Hodaň, P. Haluza, Š. Obdržálek, J. Matas, M. Lourakis, X. Zabulis
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
Winter Conference on Applications of Computer Vision (WACV) 2017, Santa Rosa
T. Hodaň, J. Matas, Š. Obdržálek
On Evaluation of 6D Object Pose Estimation
European Conference on Computer Vision Workshops (ECCVW) 2016, Amsterdam
Detection and Fine 3D Pose Estimation of Texture-less Objects in RGB-D Images
T. Hodaň, X. Zabulis, M. Lourakis, Š. Obdržálek, J. Matas
Detection and Fine 3D Pose Estimation of Texture-less Objects in RGB-D Images
International Conference on Intelligent Robots and Systems (IROS) 2015, Hamburg
Efficient Texture-less Object Detection for Augmented Reality Guidance
T. Hodaň, D. Damen, W. Mayol-Cuevas, J. Matas
Efficient Texture-less Object Detection for Augmented Reality Guidance
International Symposium on Mixed and Augmented Reality Workshops (ISMARW) 2015, Fukuoka

ORGANIZED WORKSHOPS ON RECOVERING 6D OBJECT POSE

6th edition (ECCV 2020, Glasgow), 5th edition (ICCV 2019, Seoul), 4th edition - summary (ECCV 2018, Munich), 3rd edition (ICCV 2017, Venice), 2nd edition (ECCV 2016, Amsterdam), 1st edition (ICCV 2015, Santiago)

RESEARCH REPORTS

T. Hodaň, R. Kouskouridas, T.-K. Kim, F. Tombari, K. Bekris, B. Drost, T. Groueix, K. Walas, V. Lepetit, A. Leonardis, C. Steger, F. Michel, C. Sahin, C. Rother, J. Matas
A Summary of the 4th International Workshop on Recovering 6D Object Pose
European Conference on Computer Vision Workshops (ECCVW) 2018, Munich

T. Hodaň, Texture-less Object Detection - PhD thesis proposal, 2015

T. Hodaň, Reflection Detection and Removal from Image Sequences - Master's thesis, 2013, supervised by Robby T. Tan (Utrecht University) and Adam Herout (Brno University of Technology)

PROJECTS

BOP Challenge 2019, SIXD Challenge 2017 - To capture the state of the art in estimating the 6D pose of rigid objects in RGB/RGB-D images.

DARWIN - A dexterous assembler robot working with embodied intelligence.

TEACHING

Pattern Recognition and Machine Learning - a course at Faculty of Electrical Engineering, CTU