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Michael J. Klaiber
Person information
- affiliation: Bosch Corporate Research, Renningen, Germany
- affiliation (PhD 2016): University of Stuttgart, Germany
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2020 – today
- 2022
- [j6]Donald G. Bailey
, Michael J. Klaiber
Union-Retire for Connected Components Analysis on FPGA. J. Imaging 8(4): 89 (2022) - 2021
- [c14]Oliver Bringmann, Wolfgang Ecker, Ingo Feldner, Adrian Frischknecht, Christoph Gerum, Timo Hämäläinen, Muhammad Abdullah Hanif, Michael J. Klaiber, Daniel Mueller-Gritschneder
Automated HW/SW co-design for edge AI: state, challenges and steps ahead. CODES+ISSS 2021: 11-20 - [c13]Donald G. Bailey
Union-Retire: A New Paradigm for Single-Pass Connected Component Analysis. ISGV 2021: 273-287 - [i2]Michael J. Klaiber, Axel J. Acosta, Ingo Feldner, Falk Rehm:
Enabling Cross-Domain Communication: How to Bridge the Gap between AI and HW Engineers. CoRR abs/2104.03780 (2021) - 2020
- [j5]Swagath Venkataramani
Efficient AI System Design With Cross-Layer Approximate Computing. Proc. IEEE 108(12): 2232-2250 (2020)
2010 – 2019
- 2019
- [j4]Donald G. Bailey
Zig-Zag Based Single-Pass Connected Components Analysis. J. Imaging 5(4): 45 (2019) - [j3]Michael J. Klaiber
Comparative Study and Proof of Single-Pass Connected Components Algorithms. J. Math. Imaging Vis. 61(8): 1112-1134 (2019) - [j2]Michael J. Klaiber, Donald G. Bailey
A single-cycle parallel multi-slice connected components analysis hardware architecture. J. Real Time Image Process. 16(4): 1165-1175 (2019) - [c12]Michael J. Klaiber, Sebastian Vogel, Axel Acosta, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. INTESA 2019: 18-22 - [i1]Michael J. Klaiber, Sebastian Vogel, Axel Acosta, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro, Ingo Feldner:
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. CoRR abs/1910.11632 (2019) - 2018
- [c11]Vijayalakshmi Srinivasan, Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan:
Across the Stack Opportunities for Deep Learning Acceleration. ISLPED 2018: 35:1-35:2 - [c10]Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Vijayalakshmi Srinivasan, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan:
A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference. VLSI Circuits 2018: 35-36 - 2016
- [b1]Michael J. Klaiber:
A parallel and resource-efficient single lookup connected components analysis architecture for reconfigurable hardware. University of Stuttgart, Germany, 2016, pp. 1-186 - [j1]Michael J. Klaiber, Donald G. Bailey
A Resource-Efficient Hardware Architecture for Connected Component Analysis. IEEE Trans. Circuits Syst. Video Technol. 26(7): 1334-1349 (2016) - 2014
- [c9]Ghada Dessouky, Michael J. Klaiber, Donald G. Bailey
Adaptive Dynamic On-chip Memory Management for FPGA-based reconfigurable architectures. FPL 2014: 1-8 - 2013
- [c8]Seyyed Mahdi Najmabadi, Michael J. Klaiber, Zhe Wang, Yousef Baroud, Sven Simon:
Stream Processing of Scientific Big Data on Heterogeneous Platforms - Image Analytics on Big Data in Motion. CSE 2013: 965-970 - [c7]Michael J. Klaiber, Donald G. Bailey
A high-throughput FPGA architecture for parallel connected components analysis based on label reuse. FPT 2013: 302-305 - [c6]Donald G. Bailey
Efficient hardware calculation of running statistics. IVCNZ 2013: 196-201 - 2012
- [c5]Zhe Wang, Michael J. Klaiber, Yurij Gera, Sven Simon, Thomas Richter:
Fast lossless image compression with 2D Golomb parameter adaptation based on JPEG-LS. EUSIPCO 2012: 1920-1924 - [c4]Michael J. Klaiber, Lars Rockstroh, Zhe Wang, Yousef Baroud, Sven Simon:
A memory-efficient parallel single pass architecture for connected component labeling of streamed images. FPT 2012: 159-165 - [c3]T. Lefeure, Lars Rockstroh, Michael J. Klaiber, N. Fortier, Sven Simon:
Relaxation of particle image velocimetry based on single autocorrelation of filtered motion blurring. ICASSP 2012: 1329-1332 - [c2]Lars Rockstroh, Michael J. Klaiber, Sven Simon:
Correlation and convolution of image data using fermat number transform based on two's complement. ICASSP 2012: 1637-1640 - [c1]Zhe Wang, Sven Simon, Michael J. Klaiber, Silvia Ahmed, Thomas Richter:
SSPQ - spatial domain perceptual image codec based on subsampling and perceptual quantization. ICIP 2012: 1061-1064
Coauthor Index
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