5 accepted papers
Current visual grounding research remains limited for practical applications, because existing techniques primarily focus on direct visual queriesCurrent visual grounding research remains limited for practical applications, because existing tasks primarily focus on direct visual queries (e.g., "find
We propose a single-shot approach to determining 6-DoF pose of an object with available 3D computer-aided design (CAD) model from a single RGB image. Our method dubbed MRC-Net comprises two stages. The first performs pose classification and renders the 3D object in the classified pose. The second st…
We address the problem of 3-D blood vessel segmentation with a deep learning method that incorporates domain information via priors and regularizers on vessel structure and morphology. Inspired by the observation that 3-D vessel structures project onto 2-D image slices with distinctive edges that ca…
We propose replacing scene text in videos using deep style transfer and learned photometric transformations. Building on recent progress on still image text replacement, we present extensions that alter text while preserving the appearance and motion characteristics of the original video. Compared t…
While the quality of GAN image synthesis has improved tremendously in recent years, our ability to control and condition the output is still limited. Focusing on StyleGAN, we introduce a simple and effective method for making local, semantically-aware edits to a target output image. This is accompli…