( en | de | ru )

 

Disambiguation of "Tsai, Chang-Hung"

Author of the publication

copydeleteadd this publication to your clipboard
21.3 A 5.69mm2 0.98nJ/Pixel Image-Processing SoC with 24b High-Dynamic-Range and Multiple Sensor Format Support for Automotive Applications.

, , , , , , , , , , , , , , , , , , , and . ISSCC, page 326-328. IEEE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Kwang-Tsai Chang

Chang-Yu Hung

Cheng-Hung Chang

Hung-An Chang

Hung-Kil Chang

 

Other publications of authors with the same name

A 41.3pJ/26.7pJ per neuron weight RBM processor for on-chip learning/inference applications., , , and . A-SSCC, page 265-268. IEEE, (2016)A 0.7mm2 8.54mW FocusNet Display LSI for Power Reduction on OLED Smart-phones., , , , , , , and . A-SSCC, page 53-56. IEEE, (2019)A memory-efficient architecture for intra predictor and de-blocking filter in video coding system., , , , and . APCCAS, page 555-558. IEEE, (2012)21.3 A 5.69mm2 0.98nJ/Pixel Image-Processing SoC with 24b High-Dynamic-Range and Multiple Sensor Format Support for Automotive Applications., , , , , , , , , and 10 other author(s). ISSCC, page 326-328. IEEE, (2020)A group of macroblock based motion estimation algorithm supporting adaptive search range for H.264 video coding., , , and . ISCAS, page 1891-1894. IEEE, (2010)A 2 GOPS quad-mean shift processor with early termination for machine learning applications., , , and . ISCAS, page 157-160. IEEE, (2014)A 7.11mJ/Gb/query data-driven machine learning processor (D2MLP) for big data analysis and applications., , , , , , , , , and . VLSIC, page 1-2. IEEE, (2014)A Hardware-Efficient Sigmoid Function With Adjustable Precision for a Neural Network System., , , and . IEEE Trans. Circuits Syst. II Express Briefs, 62-II (11): 1073-1077 (2015)A 41.3/26.7 pJ per Neuron Weight RBM Processor Supporting On-Chip Learning/Inference for IoT Applications., , , and . IEEE J. Solid State Circuits, 52 (10): 2601-2612 (2017)A 0.76MM2 0.22NJ/Pixel DL-Assisted 4K Video Encoder LSI for Quality-of-Experience Over Smart-Phones., , , , , , and . VLSI Circuits, page 257-258. IEEE, (2018)