4 accepted papers
Navigating Linked Multi-Component Robotic Systems (L-MCRS)---robot pairs tethered by passive flexible hoses---through dynamic pedestrian environments is fundamentally harder than rigid multi-robot coordination, as the uncontrollable hose creates a variable-geometry collision footprint spanning 118 p…
Automatic Speech Recognition (ASR) performance for low-resource languages is still far behind that of higher-resource languages such as English, due to a lack of sufficient labeled data. State-of-the-art methods deploy self-supervised transfer learning where a model pre-trained on large amounts of d…
Object localization aims to generate a tight bounding box for the target object, which is a challenging problem that has been deeply studied in recent years. Since collecting bounding-box labels is time-consuming and laborious, many researchers focus on weakly supervised object localization (WSOL).…
Simultaneous localization and object tracking (SLOT) is essentially important for autonomous systems. Tightly-coupled and loosely-coupled methods are two commonly used back-end frameworks for the state-of-the-art solutions of SLOT problem. However, some inherent limitations exist in these two framew