3 accepted papers
Composed Image Retrieval (CIR) provides an effective way to manage and access large-scale visual data. Construction of the CIR model utilizes triplets that consist of a reference image, modification text describing desired changes, and a target image that reflects these changes. For effectively trai…
A skeleton-based expert-novice level classification method via Confidence-aware Spatial-Temporal Attention Graph Convolutional Network (ConfSTA-GCN) is presented in this paper. The main contribution of this paper is the realization of the accurate expert-novice level classification by introducing a…
This paper presents multi-modal label dequantized Gaussian process latent variable model (mLDGP) for ordinal label estimation. mLDGP is constructed based on a probabilistic generative model via Gaussian process and realizes accurate calculation of common latent space from multi-view features includi…