Erik Bochinski

According to our database, Erik Bochinski authored at least 19 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image Compression.

Elvira Fleig, Jonas Geistert, Erik Bochinski, Rolf Jongebloed, Thomas Sikora

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

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

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

Utilizing Crowd Collectiveness to Enhance Bottleneck Detection Based on the Lagrangian Framework.

Maik Simon, Erik Bochinski, Markus Küchhold, Thomas Sikora

Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2019

Quantized and Regularized Optimization for Coding Images Using Steered Mixtures-of-Experts.

Rolf Jongebloed, Erik Bochinski, Lieven Lange, Thomas Sikora

Proceedings of the Data Compression Conference, 2019

Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes.

Maik Simon, Markus Küchhold, Tobias Senst, Erik Bochinski, Thomas Sikora

Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018

An MSE Approach For Training And Coding Steered Mixtures Of Experts.

Michael Tok, Rolf Jongebloed, Lieven Lange, Erik Bochinski, Thomas Sikora

Proceedings of the 2018 Picture Coding Symposium, 2018

Deep Active Learning for In Situ Plankton Classification.

Erik Bochinski, Ghassen Bacha, Volker Eiselein, Tim J. W. Walles, Jens C. Nejstgaard, Thomas Sikora

Proceedings of the Pattern Recognition and Information Forensics, 2018

Regularized Gradient Descent Training of Steered Mixture of Experts for Sparse Image Representation.

Erik Bochinski, Rolf Jongebloed, Michael Tok, Thomas Sikora

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results.

Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Haotian Wu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Lianjie Wang, Arne Schumann, Dan Wang, Diego Ortego, Elena Luna, Emmanouil Michail, Erik Bochinski, Feng Ni, Filiz Bunyak, Gege Zhang, Guna Seetharaman, Guorong Li, Hongyang Yu, Ioannis Kompatsiaris, Jianfei Zhao, Jie Gao, José M. Martínez, Juan C. SanMiguel, Kannappan Palaniappan, Konstantinos Avgerinakis, Lars Wilko Sommer, Martin Lauer, Mengkun Liu, Noor M. Al-Shakarji, Oliver Acatay, Panagiotis Giannakeris, Qijie Zhao, Qinghua Ma, Qingming Huang, Stefanos Vrochidis, Thomas Sikora, Tobias Senst, Wei Song, Wei Tian, Wenhua Zhang, Yanyun Zhao, Yidong Bai, Yinan Wu, Yongtao Wang, Yuxuan Li, Zhaoliang Pi, Zhiming Ma

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Optical Flow Dataset and Benchmark for Visual Crowd Analysis.

Gregory Schröder, Tobias Senst, Erik Bochinski, Thomas Sikora

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring.

Siwei Lyu, Ming-Ching Chang, Dawei Du, Wenbo Li, Yi Wei, Marco Del Coco, Pierluigi Carcagnì, Arne Schumann, Bharti Munjal, Dinh-Quoc-Trung Dang, Doo-Hyun Choi, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guna Seetharaman, Jang-Woon Baek, Jong Taek Lee, Kannappan Palaniappan, Kil-Taek Lim, Kiyoung Moon, Kwang-Ju Kim, Lars Sommer, Meltem Brandlmaier, Minsung Kang, Moongu Jeon, Noor M. Al-Shakarji, Oliver Acatay, Pyong-Kun Kim, Sikandar Amin, Thomas Sikora, Tien Ba Dinh, Tobias Senst, Vu-Gia-Hy Che, Young-Chul Lim, Young-min Song, Yun-Su Chung

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

Extending IOU Based Multi-Object Tracking by Visual Information.

Erik Bochinski, Tobias Senst, Thomas Sikora

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017

A consistent two-level metric for evaluation of automated abandoned object detection methods.

Patrick Krusch, Erik Bochinski, Volker Eiselein, Thomas Sikora

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Hyper-parameter optimization for convolutional neural network committees based on evolutionary algorithms.

Erik Bochinski, Tobias Senst, Thomas Sikora

Proceedings of the 2017 IEEE International Conference on Image Processing, 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, Lipeng Ke, Tao Hu, Marco Del Coco, Pierluigi Carcagnì, Dmitriy Anisimov, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guang Han, Hao Ye, Hong Wang, Kannappan Palaniappan, Koray Ozcan, Li Wang, Liang Wang, Martin Lauer, Nattachai Watcharapinchai, Nenghui Song, Noor M. Al-Shakarji, Shuo Wang, Sikandar Amin, Sitapa Rujikietgumjorn, Tatiana Khanova, Thomas Sikora, Tino Kutschbach, Volker Eiselein, Wei Tian, Xiangyang Xue, Xiaoyi Yu, Yao Lu, Yingbin Zheng, Yongzhen Huang, Yuqi Zhang

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 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

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

Assessing post-detection filters for a generic pedestrian detector in a tracking-by-detection scheme.

Volker Eiselein, Erik Bochinski, Thomas Sikora

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

High-Speed tracking-by-detection without using image information.

Erik Bochinski, Volker Eiselein, Thomas Sikora

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016

Training a convolutional neural network for multi-class object detection using solely virtual world data.

Erik Bochinski, Volker Eiselein, Thomas Sikora

Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016