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Dan Zecha
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2020 – today
- 2020
- [b1]Dan Zecha:
Motion Kinematics and Dynamics Prediction Using Human Pose Estimation in Videos - Towards Automated, Kinematical Profiling of Swimmers and Ski Jumpers. University of Augsburg, Germany, 2020
2010 – 2019
- 2019
- [c14]Dan Zecha, Moritz Einfalt, Rainer Lienhart:
Refining Joint Locations for Human Pose Tracking in Sports Videos. CVPR Workshops 2019: 2524-2532 - [c13]Philipp Harzig, Dan Zecha, Rainer Lienhart, Carolin Kaiser, René Schallner:
Image Captioning with Clause-Focused Metrics in a Multi-modal Setting for Marketing. MIPR 2019: 419-424 - [c12]Moritz Einfalt, Charles Dampeyrou, Dan Zecha, Rainer Lienhart:
Frame-Level Event Detection in Athletics Videos with Pose-Based Convolutional Sequence Networks. MMSports@MM 2019: 42-50 - [i5]Philipp Harzig, Dan Zecha, Rainer Lienhart, Carolin Kaiser, René Schallner:
Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for Marketing. CoRR abs/1905.01919 (2019) - 2018
- [j1]Rainer Lienhart, Moritz Einfalt, Dan Zecha:
Mining Automatically Estimated Poses from Video Recordings of Top Athletes. Int. J. Comput. Sci. Sport 17(2): 94-112 (2018) - [c11]Dan Zecha, Moritz Einfalt, Christian Eggert, Rainer Lienhart:
Kinematic Pose Rectification for Performance Analysis and Retrieval in Sports. CVPR Workshops 2018: 1791-1799 - [c10]Dan Zecha:
Session details: Session 2. MMSports@MM 2018 - [c9]Dan Zecha, Christian Eggert, Moritz Einfalt, Stephan Brehm, Rainer Lienhart:
A Convolutional Sequence to Sequence Model for Multimodal Dynamics Prediction in Ski Jumps. MMSports@MM 2018: 11-19 - [c8]Moritz Einfalt, Dan Zecha, Rainer Lienhart:
Activity-Conditioned Continuous Human Pose Estimation for Performance Analysis of Athletes Using the Example of Swimming. WACV 2018: 446-455 - [i4]Moritz Einfalt, Dan Zecha, Rainer Lienhart:
Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimming. CoRR abs/1802.00634 (2018) - [i3]Rainer Lienhart, Moritz Einfalt, Dan Zecha:
Mining Automatically Estimated Poses from Video Recordings of Top Athletes. CoRR abs/1804.08944 (2018) - 2017
- [c7]Dan Zecha, Christian Eggert, Rainer Lienhart:
Pose Estimation for Deriving Kinematic Parameters of Competitive Swimmers. Computer Vision Applications in Sports 2017: 21-29 - [c6]Christian Eggert, Stephan Brehm, Anton Winschel, Dan Zecha, Rainer Lienhart:
A closer look: Small object detection in faster R-CNN. ICME 2017: 421-426 - [c5]Christian Eggert, Dan Zecha, Stephan Brehm, Rainer Lienhart:
Improving Small Object Proposals for Company Logo Detection. ICMR 2017: 167-174 - [i2]Christian Eggert, Dan Zecha, Stephan Brehm, Rainer Lienhart:
Improving Small Object Proposals for Company Logo Detection. CoRR abs/1704.08881 (2017) - 2016
- [c4]Christian Eggert, Anton Winschel, Dan Zecha, Rainer Lienhart:
Saliency-guided selective magnification for company logo detection. ICPR 2016: 651-656 - 2015
- [c3]Dan Zecha, Rainer Lienhart:
Key-Pose Prediction in Cyclic Human Motion. WACV 2015: 86-93 - [i1]Dan Zecha, Rainer Lienhart:
Key-Pose Prediction in Cyclic Human Motion. CoRR abs/1504.05369 (2015) - 2012
- [c2]Robert Lorenz, Markus Huber, Christoph Etzel, Dan Zecha:
SYNOPS - Generation of Partial Languages and Synthesis of Petri Nets. PNSE 2012: 237-252 - [c1]Dan Zecha, Thomas Greif, Rainer Lienhart:
Swimmer detection and pose estimation for continuous stroke-rate determination. Multimedia on Mobile Devices / Multimedia Content Access: Algorithms and Systems 2012: 830410
Coauthor Index
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