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Song, Jingkuan (author), He, Tao (author), Gao, Lianli (author), Xu, Xing (author), Hanjalic, A. (author), Shen, Heng Tao (author)Binary codes have often been deployed to facilitate large-scale retrieval tasks, but not that often for image compression. In this paper, we propose a unified framework, BGAN+, that restricts the input noise variable of generative adversarial networks to be binary and conditioned on the features of each input image, and simultaneously learns...journal article 2020
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He, Yuan (author), Li, Xinyu (author), Li, Runlong (author), Wang, J. (author), Jing, Xiaojun (author)Radio frequency interference, which makes it difficult to produce high-quality radar spectrograms, is a major issue for micro-Doppler-based human activity recognition (HAR). In this paper, we propose a deep-learning-based method to detect and cut out the interference in spectrograms. Then, we restore the spectrograms in the cut-out region....journal article 2020