4 accepted papers
Semantic Scene Completion (SSC) aims to reconstruct a 3D voxel representation occupied by semantic classes based on ordinary inputs such as 2D RGB images, depth maps, or point clouds. Given the cost-effective and promising applications in autonomous driving, camera-based SSC has attracted considerab…
Affordance understanding, the task of identifying actionable regions on 3D objects, plays a vital role in allowing robotic systems to engage with and operate within the physical world. Although Visual Language Models (VLMs) have excelled in high-level reasoning and long-horizon planning for robotic
This work introduces a novel task, location-aware visual question generation (LocaVQG), which aims to generate engaging questions from data relevant to a particular geographical location. Specifically, we represent such location-aware information with surrounding images and a GPS coordinate. To tack…
In this paper, a structural maximum a posterior speaker adaptation method to adjust the existing speaking rate (SR) dependent hierarchical prosodic model (SR-HPM) to a new speaker's data for realizing a new voice of any given SR is discussed. The adaptive SR-HPM is formulated based on MAP estimation…