3 accepted papers
Imitation learning for robotics often uses action chunking to mitigate the compounding errors associated with autoregressive policies. By predicting multiple future actions simultaneously, action chunking limits the accumulation of errors but introduces new difficulties. In particular, it relies on …
Scene graph generation (SGG) is an important task in image understanding because it represents the relationships between objects in an image as a graph structure, making it possible to understand the semantic relationships between objects intuitively. Previous SGG studies used a message-passing neur…
An important challenge in vision-based action recognition is the embedding of spatiotemporal features with two or more heterogeneous modalities into a single feature. In this study, we propose a new 3D deformable transformer for action recognition with adaptive spatiotemporal receptive fields and a…