The Journal of Visual Communication and Image Representation has just announced the 2020 best paper award winner and runner-up:
- Winner: A robust technique for copy-move forgery detection and localization in digital images via stationary wavelet and discrete cosine transform, Mahmood, T., Mehmood, Z., Shah, M., Saba, T.
- Runner-up: On data-driven Saak transform, Jay Kuo, C.-C., Chen, Y.
According to the EiC of the journal, the selection process is outlined below:
The committee members checked all papers in 2018 and 2019 and nominated 13 papers.
- Each of the 13 papers were evaluated and scored by three committee members on a scale of 1 to 10.
- There were 4 papers with approximately similar score. All committee members were given the opportunity to vote for the top.
- After voting, the best paper and runner up were selected.
- All members supported the above winner and runner-up.
It is a great honor that MCL received the JVCI best paper and runner-up awards in three years in a row.
- The 2020 Best Paper Award Runner-up for the Journal of Visual Communication and Image Representation.
- C.-C. Jay Kuo and Yueru Chen, “On data-driven Saak transform,” the Journal of Visual Communication and Image Representation, Vol. 50, pp. 237-246, January 2018.
- The 2019 Best Paper Award Runner-up for the Journal of Visual Communication and Image Representation.
- Ronald Salloum, Yuzhou Ren and C.-C. Jay Kuo, “Image splicing localization using a multi-task fully convolutional network (MFCN),” the Journal of Visual Communication and Image Representation, Vol. 51, pp. 201-209, February 2018.
- The 2018 Best Paper Award from the Journal of Visual Communications and Image Representation.
- C.-C. Jay Kuo, “Understanding convolutional neural networks with a mathematical model,” the Journal of Visual Communication and Image Representation, Vol. 41, pp. 406-413, November 2016.
