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ORCIDErik Bochinski
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Conference and Workshop Papers
- 2024
[c20]Conrad Orglmeister, Erik Bochinski, Volker Eiselein, Elvira Fleig:
Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection. SAFECOMP (Workshops) 2024: 365-378- 2023
- [c19]Elvira Fleig, Jonas Geistert, Erik Bochinski, Rolf Jongebloed, Thomas Sikora:
Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image Compression. ISCAS 2023: 1-5 - 2022
- [c18]Maik Simon, Erik Bochinski, Markus Küchhold, Thomas Sikora:
Utilizing Crowd Collectiveness to Enhance Bottleneck Detection Based on the Lagrangian Framework. AVSS 2022: 1-8 - [c17]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: 1-6 - 2019
- [c16]Maik Simon, Markus Küchhold, Tobias Senst, Erik Bochinski, Thomas Sikora:
Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes. AVSS 2019: 1-8 - [c15]Rolf Jongebloed, Erik Bochinski, Lieven Lange, Thomas Sikora:
Quantized and Regularized Optimization for Coding Images Using Steered Mixtures-of-Experts. DCC 2019: 359-368 - 2018
- [c14]Erik Bochinski, Tobias Senst
, Thomas Sikora:
Extending IOU Based Multi-Object Tracking by Visual Information. AVSS 2018: 1-6 - [c13]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: 1-6 - [c12]Gregory Schröder, Tobias Senst, Erik Bochinski, Thomas Sikora:
Optical Flow Dataset and Benchmark for Visual Crowd Analysis. AVSS 2018: 1-6 - [c11]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: 496-518 - [c10]Erik Bochinski, Rolf Jongebloed, Michael Tok, Thomas Sikora:
Regularized Gradient Descent Training of Steered Mixture of Experts for Sparse Image Representation. ICIP 2018: 3873-3877 - [c9]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: 5-15 - [c8]Michael Tok, Rolf Jongebloed, Lieven Lange, Erik Bochinski, Thomas Sikora:
An MSE Approach For Training And Coding Steered Mixtures Of Experts. PCS 2018: 273-277 - 2017
- [c7]Erik Bochinski, Volker Eiselein, Thomas Sikora:
High-Speed tracking-by-detection without using image information. AVSS 2017: 1-6 - [c6]Volker Eiselein, Erik Bochinski, Thomas Sikora:
Assessing post-detection filters for a generic pedestrian detector in a tracking-by-detection scheme. AVSS 2017: 1-6 - [c5]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: 1-5 - [c4]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: 1-7 - [c3]Erik Bochinski, Tobias Senst, Thomas Sikora:
Hyper-parameter optimization for convolutional neural network committees based on evolutionary algorithms. ICIP 2017: 3924-3928 - [c2]Patrick Krusch, Erik Bochinski, Volker Eiselein, Thomas Sikora:
A consistent two-level metric for evaluation of automated abandoned object detection methods. ICIP 2017: 4352-4356 - 2016
- [c1]Erik Bochinski, Volker Eiselein, Thomas Sikora:
Training a convolutional neural network for multi-class object detection using solely virtual world data. AVSS 2016: 278-285
Informal and Other Publications
- 2019
- [i2]Maik Simon, Markus Küchhold, Tobias Senst, Erik Bochinski, Thomas Sikora:
Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes. CoRR abs/1908.07772 (2019) - 2018
- [i1]Gregory Schröder, Tobias Senst, Erik Bochinski, Thomas Sikora:
Optical Flow Dataset and Benchmark for Visual Crowd Analysis. CoRR abs/1811.07170 (2018)
Coauthor Index
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