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ORCIDSergey Kosov
Person information
- affiliation: University of Siegen, Department ETI, Germany
- affiliation: Leibnitz University, Institute of Photogrammerty and GeoInformation, Hannover, Germany
- affiliation: Max Planck Institute for Informatics, Saarbrücken, Germany
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2020 – today
- 2023
[j5]Frank Kulwa, Chen Li
, Marcin Grzegorzek, Md Mamunur Rahaman, Kimiaki Shirahama, Sergey Kosov:
Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features. Biomed. Signal Process. Control. 79(Part): 104168 (2023)- 2022
- [i3]Frank Kulwa, Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Kimiaki Shirahama, Sergey Kosov:
Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features. CoRR abs/2208.14957 (2022) - 2021
- [j4]Jinghua Zhang, Chen Li, Sergey Kosov, Marcin Grzegorzek, Kimiaki Shirahama, Tao Jiang, Changhao Sun, Zihan Li, Hong Li:
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation. Pattern Recognit. 115: 107885 (2021) - [i2]Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek:
A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis. CoRR abs/2102.12147 (2021)
2010 – 2019
- 2019
- [j3]Sergey Kosov, Kimiaki Shirahama, Marcin Grzegorzek:
Labeling of partially occluded regions via the multi-layer CRF. Multim. Tools Appl. 78(2): 2551-2569 (2019) - 2018
- [b1]Sergey Kosov:
Multi-layer conditional random fields for revealing unobserved entities. University of Siegen, Germany, 2018 - [j2]Sergey Kosov, Kimiaki Shirahama, Chen Li, Marcin Grzegorzek:
Environmental microorganism classification using conditional random fields and deep convolutional neural networks. Pattern Recognit. 77: 248-261 (2018) - 2014
- [j1]Andreas Christian Braun, Carolina Rojas, Cristian Echeverri, Franz Rottensteiner, Hans-Peter Bähr, Joachim Niemeyer, Mauricio Aguayo Arias, Sergey Kosov, Stefan Hinz, Uwe Weidner:
Design of a Spectral-Spatial Pattern Recognition Framework for Risk Assessments Using Landsat Data - A Case Study in Chile. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(3): 917-928 (2014) - 2013
- [c5]Sergey Kosov, Franz Rottensteiner, Christian Heipke:
Sequential Gaussian Mixture Models for Two-Level Conditional Random Fields. GCPR 2013: 153-163 - [i1]Sergey Kosov, Pushmeet Kohli, Franz Rottensteiner, Christian Heipke:
A two-layer Conditional Random Field for the classification of partially occluded objects. CoRR abs/1307.3043 (2013) - 2011
- [c4]Sergey Kosov, Thorsten Thormählen, Hans-Peter Seidel:
Using Active Illumination for Accurate Variational Space-Time Stereo. SCIA 2011: 752-763 - 2010
- [c3]Sergey Kosov, Thorsten Thormählen, Hans-Peter Seidel:
Rapid stereo-vision enhanced face recognition. ICIP 2010: 2437-2440
2000 – 2009
- 2009
- [c2]Sergey Kosov, Kristina Scherbaum, Kamil Faber, Thorsten Thormählen, Hans-Peter Seidel:
Rapid stereo-vision enhanced face detection. ICIP 2009: 1221-1224 - [c1]Sergey Kosov, Thorsten Thormählen, Hans-Peter Seidel:
Accurate Real-Time Disparity Estimation with Variational Methods. ISVC (1) 2009: 796-807
Coauthor Index
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