Erik Bochinski

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 21

Top Topics

Convolutional Neural Network

Object Detection

Image Representation

Top Venues

Publications

Elvira Fleig, Jonas Geistert, Erik Bochinski, Rolf Jongebloed, Thomas Sikora
Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image Compression. ISCAS (2023)
Maik Simon, Erik Bochinski, Markus Küchhold, Thomas Sikora
Utilizing Crowd Collectiveness to Enhance Bottleneck Detection Based on the Lagrangian Framework. AVSS (2022)
Maik Simon, Erik Bochinski, Markus Küchhold, Thomas Sikora
Bottleneck Detection in Crowded Video Scenes Utilizing Lagrangian Motion Analysis Via Density and Arc Length Measures. ICME Workshops (2022)
Maik Simon, Markus Küchhold, Tobias Senst, Erik Bochinski, Thomas Sikora
Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes. AVSS (2019)
Maik Simon, Markus Küchhold, Tobias Senst, Erik Bochinski, Thomas Sikora
Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes. CoRR (2019)
Rolf Jongebloed, Erik Bochinski, Lieven Lange, Thomas Sikora
Quantized and Regularized Optimization for Coding Images Using Steered Mixtures-of-Experts. DCC (2019)
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
UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS (2018)
Michael Tok, Rolf Jongebloed, Lieven Lange, Erik Bochinski, Thomas Sikora
An MSE Approach For Training And Coding Steered Mixtures Of Experts. PCS (2018)
Erik Bochinski, Tobias Senst, Thomas Sikora
Extending IOU Based Multi-Object Tracking by Visual Information. AVSS (2018)
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
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results. ECCV Workshops (5) (2018)
Gregory Schröder, Tobias Senst, Erik Bochinski, Thomas Sikora
Optical Flow Dataset and Benchmark for Visual Crowd Analysis. AVSS (2018)
Erik Bochinski, Rolf Jongebloed, Michael Tok, Thomas Sikora
Regularized Gradient Descent Training of Steered Mixture of Experts for Sparse Image Representation. ICIP (2018)
Gregory Schröder, Tobias Senst, Erik Bochinski, Thomas Sikora
Optical Flow Dataset and Benchmark for Visual Crowd Analysis. CoRR (2018)
Erik Bochinski, Ghassen Bacha, Volker Eiselein, Tim J. W. Walles, Jens C. Nejstgaard, Thomas Sikora
Deep Active Learning for In Situ Plankton Classification. CVAUI/IWCF/MIPPSNA@ICPR (2018)
Erik Bochinski, Tobias Senst, Thomas Sikora
Hyper-parameter optimization for convolutional neural network committees based on evolutionary algorithms. ICIP (2017)
Patrick Krusch, Erik Bochinski, Volker Eiselein, Thomas Sikora
A consistent two-level metric for evaluation of automated abandoned object detection methods. ICIP (2017)
Tino Kutschbach, Erik Bochinski, Volker Eiselein, Thomas Sikora
Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data. AVSS (2017)
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
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS (2017)
Erik Bochinski, Volker Eiselein, Thomas Sikora
High-Speed tracking-by-detection without using image information. AVSS (2017)
Volker Eiselein, Erik Bochinski, Thomas Sikora
Assessing post-detection filters for a generic pedestrian detector in a tracking-by-detection scheme. AVSS (2017)
Erik Bochinski, Volker Eiselein, Thomas Sikora
Training a convolutional neural network for multi-class object detection using solely virtual world data. AVSS (2016)