Steven Colleman

15 papers B 1C 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
A Novel Depth-First Scheduling for Spatially Dynamic Neural Networks.
ICAART (4)
Steven Colleman, Andrea Nardi-Dei, Marc C. W. Geilen, Sander Stuijk, Toon Goedemé
2025 — conf
HW-aware Neural Architecture Search Using Genetic Optimisation: In-Memory Compute vs NPU.
ICECET
Lotte Hendrickx, Steven Colleman, Toon Goedemé
2025 J jnl
Stream: Design Space Exploration of Layer-Fused DNNs on Heterogeneous Dataflow Accelerators.
IEEE Trans. Computers
Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst
2024 J jnl
CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories.
CoRR
Man Shi, Steven Colleman, Charlotte VanDeMieroop, Antony Joseph, Maurice Meijer, Wim Dehaene, Marian Verhelst
2024 J jnl
COAC: Cross-layer Optimization of Accelerator Configurability for Efficient CNN Processing.
CoRR
Steven Colleman, Man Shi, Marian Verhelst
2024 — conf
Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms.
ISQED
Steven Colleman, Arne Symons, Victor J. B. Jung, Marian Verhelst
2024 J jnl
Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms.
CoRR
Steven Colleman, Arne Symons, Victor J. B. Jung, Marian Verhelst
2023 — conf
CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories.
ISQED
Man Shi, Steven Colleman, Charlotte VanDeMieroop, Antony Joseph, Maurice Meijer, Wim Dehaene, Marian Verhelst
2023 J jnl
COAC: Cross-Layer Optimization of Accelerator Configurability for Efficient CNN Processing.
IEEE Trans. Very Large Scale Integr. Syst.
Steven Colleman, Man Shi, Marian Verhelst
2023 B conf
Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators.
ISPASS
Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst
2022 — conf
Optimizing Accelerator Configurability for Mobile Transformer Networks.
AICAS
Steven Colleman, Peter Zhu, Wei Sun, Marian Verhelst
2022 J jnl
Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks.
CoRR
Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst
2021 J jnl
High-Utilization, High-Flexibility Depth-First CNN Coprocessor for Image Pixel Processing on FPGA.
IEEE Trans. Very Large Scale Integr. Syst.
Steven Colleman, Marian Verhelst
2021 C conf
Processor Architecture Optimization for Spatially Dynamic Neural Networks.
VLSI-SoC
Steven Colleman, Thomas Verelst, Linyan Mei, Tinne Tuytelaars, Marian Verhelst
2017 — conf
Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction.
BrainLes@MICCAI
Halandur Nagaraja Bharath, Steven Colleman, Diana Maria Sima, Sabine Van Huffel