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Researcher
Steven Colleman
- Disciplines:Embedded systems
Affiliations
- Electronic Circuits and Systems (ECS) (Division)
Member
From1 Aug 2020 → Today - ESAT - MICAS, Microelectronics and Sensors (Division)
Member
From1 Oct 2018 → 31 Jul 2020
Projects
1 - 1 of 1
- Modeling and Analysis for Efficient Hardware Mapping of Neural Network AlgorithmsFrom1 Oct 2018 → 10 Jan 2024Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 8 of 8
- Modeling and Analysis for Efficient Hardware Mapping of Neural Network Algorithms(2024)
Authors: Steven Colleman, Marian Verhelst
- COAC: Cross-Layer Optimization of Accelerator Configurability for Efficient CNN Processing(2023)
Authors: Steven Colleman, Marian Verhelst
Pages: 945 - 958 - CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories(2023)
Authors: Steven Colleman, Wim Dehaene, Marian Verhelst
Pages: 172 - 179Number of pages: 8 - Optimizing Accelerator Configurability for Mobile Transformer Networks(2022)
Authors: Steven Colleman, Marian Verhelst
Pages: 142 - 145Number of pages: 4 - High-Utilization, High-Flexibility Depth-First CNN Coprocessor for Image Pixel Processing on FPGA(2021)
Authors: Steven Colleman, Marian Verhelst
Pages: 461 - 471 - Processor Architecture Optimization for Spatially Dynamic Neural Networks(2021)
Authors: Steven Colleman, Thomas Verelst, Linyan Mei, Tinne Tuytelaars, Marian Verhelst
Number of pages: 6 - Tumor segmentation from multimodal MRI using random forest with superpixel and tensor based feature extraction(2018)
Authors: Bharath Halandur Nagaraja, Steven Colleman, Diana Sima, Sabine Van Huffel
Pages: 463 - 473 - Tumor segmentation from multimodal MRI using random forest with superpixel and tensor based feature extraction(2017)
Authors: Steven Colleman, Diana Sima, Sabine Van Huffel
Pages: 463 - 473