15 citations · 18 across the 11 of their papers we have counts for
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cs.AI2025
ActionFlow: A Pipelined Action Acceleration for Vision Language Models on Edge
Yuntao Dai, Hang Gu, Teng Wang +6
Vision-Language-Action (VLA) models have emerged as a unified paradigm for robotic perception and control, enabling emergent generalization and long-horizon task execution. However…
cs.AR2025
CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Jiale Dong, Hao Wu, Zihao Wang +5
Vision Transformers (ViTs) exhibit superior performance in computer vision tasks but face deployment challenges on resource-constrained devices due to high computational/memory dem…
cs.AR2025
UbiMoE: A Ubiquitous Mixture-of-Experts Vision Transformer Accelerator With Hybrid Computation Pattern on FPGA
Jiale Dong, Wenqi Lou, Zhendong Zheng +4
Compared to traditional Vision Transformers (ViT), Mixture-of-Experts Vision Transformers (MoE-ViT) are introduced to scale model size without a proportional increase in computatio…