Improving VLAD: Hierarchical coding and a refined local coordinate system. - Christian Eggert; Stefan Romberg; Rainer Lienhart (ICIP, 2014)

Fisher vector encoding of micro color features for (real world) jigsaw puzzles. - Fabian Richter 001; Christian Eggert; Rainer Lienhart (ICDAR, 2015)

On the Benefit of Synthetic Data for Company Logo Detection. - Christian Eggert; Anton Winschel; Rainer Lienhart (ACM Multimedia, 2015)

Saliency-guided selective magnification for company logo detection. - Christian Eggert; Anton Winschel; Dan Zecha; Rainer Lienhart (ICPR, 2016)

Diversity in Object Proposals. - Anton Winschel; Rainer Lienhart; Christian Eggert (CoRR, 2016)

Pose Estimation for Deriving Kinematic Parameters of Competitive Swimmers. - Dan Zecha; Christian Eggert; Rainer Lienhart (Computer Vision Applications in Sports, 2017)

A closer look: Small object detection in faster R-CNN. - Christian Eggert; Stephan Brehm; Anton Winschel; Dan Zecha; Rainer Lienhart (ICME, 2017)

Improving Small Object Proposals for Company Logo Detection. - Christian Eggert; Dan Zecha; Stephan Brehm; Rainer Lienhart (ICMR, 2017)

Kinematic Pose Rectification for Performance Analysis and Retrieval in Sports. - Dan Zecha; Moritz Einfalt; Christian Eggert; Rainer Lienhart (CVPR Workshops, 2018)

Visual Question Answering With a Hybrid Convolution Recurrent Model. - Philipp Harzig; Christian Eggert; Rainer Lienhart (ICMR, 2018)

A Convolutional Sequence to Sequence Model for Multimodal Dynamics Prediction in Ski Jumps. - Dan Zecha; Christian Eggert; Moritz Einfalt; Stephan Brehm; Rainer Lienhart (MMSports@MM, 2018)

Reliable Company Logo Detection with Deep Convolutional Neural Networks. - Christian Eggert (2019)