3 accepted papers
Understanding categorical data with vague qualitative values by forming clusters is crucial in many data-driven AI fields. Compared with numerical data with its quantitative values embedded in well-defined Euclidean distance space, distances of the qualitative values are naturally unknown and are sp…
Category-level object pose estimation is a longstanding and fundamental task crucial for augmented reality and robotic manipulation applications. Existing RGB-based approaches struggle with multi-stage settings and heavily rely on off-the-shelf techniques, such as object detectors, depth estimators,
One-shot talking head synthesis aims to animate a source person’s portrait with driving video sequences. Recent facial keypoint-based methods have achieved remarkable animation performance and produced high-quality results. However, it remains challenging to perform cross-identity face reenactment b…