Training a convolutional neural network for multi-class object detection using solely virtual world data. - Erik Bochinski; Volker Eiselein; Thomas Sikora (AVSS, 2016)

High-Speed tracking-by-detection without using image information. - Erik Bochinski; Volker Eiselein; Thomas Sikora (AVSS, 2017)

Assessing post-detection filters for a generic pedestrian detector in a tracking-by-detection scheme. - Volker Eiselein; Erik Bochinski; Thomas Sikora (AVSS, 2017)

Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data. - Tino Kutschbach; Erik Bochinski; Volker Eiselein; Thomas Sikora (AVSS, 2017)

UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. - Siwei Lyu; Ming-Ching Chang; Dawei Du; Longyin Wen; Honggang Qi; Yuezun Li; Yi Wei 006; Lipeng Ke; Tao Hu 011; Marco Del Coco; Pierluigi Carcagnì; Dmitriy Anisimov; et al. (AVSS, 2017)

Hyper-parameter optimization for convolutional neural network committees based on evolutionary algorithms. - Erik Bochinski; Tobias Senst; Thomas Sikora (ICIP, 2017)

A consistent two-level metric for evaluation of automated abandoned object detection methods. - Patrick Krusch; Erik Bochinski; Volker Eiselein; Thomas Sikora (ICIP, 2017)

Extending IOU Based Multi-Object Tracking by Visual Information. - Erik Bochinski; Tobias Senst; Thomas Sikora (AVSS, 2018)

UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. - Siwei Lyu; Ming-Ching Chang; Dawei Du; Wenbo Li 001; Yi Wei 006; Marco Del Coco; Pierluigi Carcagnì; Arne Schumann; Bharti Munjal; Dinh-Quoc-Trung Dang; Doo-Hyun Choi; Erik Bochinski; et al. (AVSS, 2018)

Optical Flow Dataset and Benchmark for Visual Crowd Analysis. - Gregory Schröder; Tobias Senst; Erik Bochinski; Thomas Sikora (AVSS, 2018)

VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results. - Pengfei Zhu 001; Longyin Wen; Dawei Du; Xiao Bian; Haibin Ling; Qinghua Hu; Haotian Wu 006; Qinqin Nie; Hao Cheng 010; Chenfeng Liu; Xiaoyu Liu 005; Wenya Ma; et al. (ECCV Workshops (5), 2018)

Regularized Gradient Descent Training of Steered Mixture of Experts for Sparse Image Representation. - Erik Bochinski; Rolf Jongebloed; Michael Tok; Thomas Sikora (ICIP, 2018)

Deep Active Learning for In Situ Plankton Classification. - Erik Bochinski; Ghassen Bacha; Volker Eiselein; Tim J. W. Walles; Jens C. Nejstgaard; Thomas Sikora (CVAUI/IWCF/MIPPSNA@ICPR, 2018)

An MSE Approach For Training And Coding Steered Mixtures Of Experts. - Michael Tok; Rolf Jongebloed; Lieven Lange; Erik Bochinski; Thomas Sikora (PCS, 2018)

Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes. - Maik Simon; Markus Küchhold; Tobias Senst; Erik Bochinski; Thomas Sikora (AVSS, 2019)

Quantized and Regularized Optimization for Coding Images Using Steered Mixtures-of-Experts. - Rolf Jongebloed; Erik Bochinski; Lieven Lange; Thomas Sikora (DCC, 2019)

Utilizing Crowd Collectiveness to Enhance Bottleneck Detection Based on the Lagrangian Framework. - Maik Simon; Erik Bochinski; Markus Küchhold; Thomas Sikora (AVSS, 2022)

Bottleneck Detection in Crowded Video Scenes Utilizing Lagrangian Motion Analysis Via Density and Arc Length Measures. - Maik Simon; Erik Bochinski; Markus Küchhold; Thomas Sikora (ICME Workshops, 2022)

Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image Compression. - Elvira Fleig; Jonas Geistert; Erik Bochinski; Rolf Jongebloed; Thomas Sikora (ISCAS, 2023)

Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection. - Conrad Orglmeister; Erik Bochinski; Volker Eiselein; Elvira Fleig (SAFECOMP (Workshops), 2024)