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Ryuji Fuchikami
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2020 – today
- 2024
- [j5]Yuan Li, Tingting Hu, Ryuji Fuchikami, Takeshi Ikenaga:
Grid Sample Based Temporal Iteration for Fully Pipelined 1-ms SLIC Superpixel Segmentation System. IEICE Trans. Inf. Syst. 107(4): 515-524 (2024) - [j4]Yuan Li, Tingting Hu, Ryuji Fuchikami, Takeshi Ikenaga:
Aggregated to Pipelined Structure Based Streaming SSN for 1-ms Superpixel Segmentation System in Factory Automation. IEICE Trans. Inf. Syst. 107(11): 1396-1407 (2024) - [j3]Yuan Li, Tingting Hu, Ryuji Fuchikami, Takeshi Ikenaga:
Global to multi-scale local architecture with hardwired CNN for 1-ms tomato defect detection. IET Image Process. 18(8): 2078-2092 (2024) - 2023
- [j2]Tingting Hu, Ryuji Fuchikami, Takeshi Ikenaga:
Temporal Prediction-Based Temporal Iterative Tracking and Parallel Motion Estimation for a 1-ms Rotation-Robust LK-Based Tracking System. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [c5]Yuan Li, Tingting Hu, Ryuji Fuchikami, Takeshi Ikenaga:
Grid Sample Based Temporal Iteration and Compactness-coefficient Distance for High Frame and Ultra-low Delay SLIC Segmentation System. MVA 2023: 1-5 - 2022
- [j1]Tingting Hu, Ryuji Fuchikami, Takeshi Ikenaga:
High Temporal Resolution-Based Temporal Iterative Tracking for High Framerate and Ultra-Low Delay Dynamic Tracking System. IEICE Trans. Inf. Syst. 105-D(5): 1064-1074 (2022) - 2021
- [c4]Ziwei Dong, Tingting Hu, Ryuji Fuchikami, Takeshi Ikenaga:
Encoding-free Incrementing Hough Transform for High Frame Rate and Ultra-low Delay Straight-line Detection. MVA 2021: 1-4 - [c3]Dongmei Huang, Jihan Zhang, Tingting Hu, Ryuji Fuchikami, Takeshi Ikenaga:
Contextual Information based Network with High-Frequency Feature Fusion for High Frame Rate and Ultra-Low Delay Small-Scale Object Detection. MVA 2021: 1-5 - [c2]Jihan Zhang, Dongmei Huang, Tingting Hu, Ryuji Fuchikami, Takeshi Ikenaga:
Critically Compressed Quantized Convolution Neural Network based High Frame Rate and Ultra-Low Delay Fruit External Defects Detection. MVA 2021: 1-4
2010 – 2019
- 2019
- [c1]Ryuji Fuchikami, Fumio Issiki:
Fast and Light-weight Binarized Neural Network Implemented in an FPGA using LUT-based Signal Processing and its Time-domain Extension for Multi-bit Processing. ICCE-Berlin 2019: 120-121
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last updated on 2024-11-25 23:40 CET by the dblp team
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