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ORCIDImage and Vision Computing, Volume 92
Volume 92, December 2019
- Yuyuan Li, Dong Zhang, Dah-Jye Lee:
IIRNet: A lightweight deep neural network using intensely inverted residuals for image recognition.
- Phillip S. M. Skelton
, Anthony Finn, Russell S. A. Brinkworth:
Consistent estimation of rotational optical flow in real environments using a biologically-inspired vision algorithm on embedded hardware. - Wei Liu, Rongguo Yao, Guoping Qiu:
A physics based generative adversarial network for single image defogging. - Rongyong Huang, Kefu Yu, Xueyong Huang, Wencai Zou, Yinghui Wang:
Combining Landsat images with historic records to estimate the live coral cover of Luhuitou fringing reef in Northern South China Sea. - Rodolfo Quispe, Hélio Pedrini:
Improved person re-identification based on saliency and semantic parsing with deep neural network models. - Manuele Bicego, Enrico Grosso:
On the importance of local and global analysis in the judgment of similarity and dissimilarity of faces. - Son Thai Ly, Nhu-Tai Do, Soo-Hyung Kim, Hyung-Jeong Yang, Gueesang Lee:
A novel 2D and 3D multimodal approach for in-the-wild facial expression recognition. - Hiren Galiyawala, Mehul S. Raval, Shivansh Dave:
Visual appearance based person retrieval in unconstrained environment videos. - Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer:
Self-supervised blur detection from synthetically blurred scenes.
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