( en | de | ru )

 

Disambiguation of "Li, Chenghua"

Author of the publication

copydeleteadd this publication to your clipboard
RISPNet: A Network for Reversed Image Signal Processing.

, , , , and . ECCV Workshops (2), volume 13802 of Lecture Notes in Computer Science, page 445-457. Springer, (2022)

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.

Chenghua Li

Chenghua Lin

Chenghua Wang

Li Li

Li Li

 

Other publications of authors with the same name

Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering., , , and . NLPKE, page 1-8. IEEE, (2008)A RAW Burst Super-Resolution Method with Enhanced Denoising., , , , , , and . PRCV (4), volume 13537 of Lecture Notes in Computer Science, page 103-116. Springer, (2022)ASSR: A Lightweight Super Resolution Network with Aggregative Structure., , , and . ICCV Workshops, page 1-10. IEEE, (2019)NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results., , , , , , , , , and 80 other author(s). CVPR Workshops, page 2077-2088. Computer Vision Foundation / IEEE, (2020)NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results., , , , , , , , , and 78 other author(s). CVPR Workshops, page 1008-1022. IEEE, (2022)LTNet: Light Transfer Network for Depth Guided Image Relighting., , , , , , , , and . CVPR Workshops, page 243-251. Computer Vision Foundation / IEEE, (2021)Learning to recognition from Bing Clickture data., , , , , , and . ICME Workshops, page 1-4. IEEE Computer Society, (2016)AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results., , , , , , , , , and 19 other author(s). ICCV Workshops, page 3565-3574. IEEE, (2019)Parallel Training of An Improved Neural Network for Text Categorization., , and . Int. J. Parallel Program., 42 (3): 505-523 (2014)Integrating the enriched feature with machine learning algorithms for human movement and fall detection., , , and . J. Supercomput., 67 (3): 854-865 (2014)