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2000-FPS Multi-object Extraction based on Cell-based Labeling
Real-time multi-object extraction at 2000 fps was realized by designing a cell-based labeling algorithm. The algorithm can label the …
Qingyi Gu
,
Takeshi Takaki
,
Idaku Ishii
引用
DOI
2000 FPS Real-time Vision System with High-frame-rate Video Recording
This paper introduces a high-speed vision system called IDP Express, which can execute real-time image processing and high frame rate …
Idaku Ishii
,
Tetsuro Tatebe
,
Qingyi Gu
,
Yuta Moriue
,
Takeshi Takaki
,
Kenji Tajima
引用
DOI
Angle-based Search Space Shrinking for Neural Architecture Search
In this work, we present a simple and general search space shrinking method, called Angle-Based search space Shrinking (ABS), for …
Yiming Hu
,
Yuding Liang
,
Zichao Guo
,
Ruosi Wan
,
Xiangyu Zhang
,
Qingyi Gu
,
Jian Sun
引用
DOI
A Visual-Feedback-Based Active Light-Section 3-D Reconstruction Method for Moving Objects
The three-dimensional (3D) reconstruction method based on structured light projection is widely employed in the industrial field due to …
Mengjuan Chen
,
Shaopeng Hu
,
Kohei Shimasaki
,
Qingyi Gu
,
Idaku Ishii
引用
DOI
CacheQuant: Comprehensively Accelerated Diffusion Models
Diffusion models have gradually gained prominence in the field of image synthesis, showcasing remarkable generative capabilities. …
Xuewen Liu
,
Zhikai Li
,
Qingyi Gu
引用
代码
DOI
DilateQuant: Accurate and Efficient Diffusion Quantization via Weight Dilation
Model quantization is a promising method for accelerating and compressing diffusion models. Nevertheless, since post-training …
Xuewen Liu
,
Zhikai Li
,
Minhao Jiang
,
Mengjuan Chen
,
Jianquan Li
,
Qingyi Gu
引用
代码
DOI
K-sort arena: Efficient and reliable benchmarking for generative models via k-wise human preferences
The rapid advancement of visual generative models necessitates efficient and reliable evaluation methods. Arena platform, which gathers …
Zhikai Li
,
Xuewen Liu
,
Dongrong Joe Fu
,
Jianquan Li
,
Qingyi Gu
,
Kurt Keutzer
,
Zhen Dong
引用
代码
DOI
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
Vision Transformers (ViTs) have achieved state-of-the-art performance on various computer vision applications. However, these models …
Zhikai Li
,
Qingyi Gu
引用
代码
DOI
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