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Real-world data often exhibit imbalanced distributions, where certain target values have significantly fewer observations. Existing …

Traditional convolution-based generative adversarial networks synthesize images based on hierarchical local operations, where …

Unpaired image-to-image translation (I2I) has achieved great success in various applications. However, its generalization capacity is …

Unpaired image-to-image translation aims to translate images from the source class to target one by providing sufficient data for these …

While video-based person re-identification (Re-ID) has drawn increasing attention and made great progress in recent years, it is still …

Blind inpainting is a task to automatically complete visual contents without specifying masks for missing areas in an image. Previous …

Generative adversarial networks have achieved great success in unpaired image-to-image translation. Cycle consistency allows modeling …

Deep neural network-based methods were proposed for face attribute manipulation. There still exist, however, two major issues, i.e., …

Synthesizing novel views from a 2D image requires to infer 3D structure and project it back to 2D from a new viewpoint. In this paper, …