Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning

Autor: Guerrero, Ricardo, Pham, Hai Xuan, Pavlovic, Vladimir

Computational food analysis (CFA) naturally requires multi-modal evidence of a particular food, e.g., images, recipe text, etc. A key to making CFA possible is multi-modal shared representation learning, which aims to create a joint representation of

Externí odkaz: http://arxiv.org/abs/2012.01345

Depth Recovery with Face Priors.

Autor: Chen, Chongyu, Pham, Hai Xuan, Pavlovic, Vladimir, Cai, Jianfei, Shi, Guangming

Publikováno v: Computer Vision - ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV; 2015, p336-351, 16p