Steven Colleman

According to our database, Steven Colleman authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms.

Steven Colleman, Arne Symons, Victor J. B. Jung, Marian Verhelst

Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

2023

COAC: Cross-Layer Optimization of Accelerator Configurability for Efficient CNN Processing.

Steven Colleman, Man Shi, Marian Verhelst

IEEE Trans. Very Large Scale Integr. Syst., 2023

CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories.

Man Shi, Steven Colleman, Charlotte VanDeMieroop, Antony Joseph, Maurice Meijer, Wim Dehaene, Marian Verhelst

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators.

Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

2022

Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks.

Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst

CoRR, 2022

Optimizing Accelerator Configurability for Mobile Transformer Networks.

Steven Colleman, Peter Zhu, Wei Sun, Marian Verhelst

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

High-Utilization, High-Flexibility Depth-First CNN Coprocessor for Image Pixel Processing on FPGA.

Steven Colleman, Marian Verhelst

IEEE Trans. Very Large Scale Integr. Syst., 2021

Processor Architecture Optimization for Spatially Dynamic Neural Networks.

Steven Colleman, Thomas Verelst, Linyan Mei, Tinne Tuytelaars, Marian Verhelst

Proceedings of the 29th IFIP/IEEE International Conference on Very Large Scale Integration, 2021

2017

Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction.

Halandur Nagaraja Bharath, Steven Colleman, Diana Maria Sima, Sabine Van Huffel

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017