4 accepted papers
Benefiting from mobility and dexterity, Mobile Manipulation (MM) systems are expected to assist humans with diverse tasks in everyday life. However, since MM tasks (e.g., tidying up a room) require learning multi-stage heterogeneous behaviors (e.g., picking, placing, and opening), existing Reinforce…
Aligning the decision-making process of deep learning models with that of experienced sonographers is essential for ultrasound-based reliable disease diagnosis. Although existing methods have made significant progress in this aspect, their alignments are primarily associational rather than causal, l
Recently, multi-modal embedding methods have flourished in entity alignment. As state-of-the-art approaches evolve rapidly, visual modality (i.e., images) missing emerges as a critical challenge. While visual modality typically offers the most informative signals in multi-modal entity alignment (MME
Visual Semantic Navigation (VSN) aims at navigating a robot to a given target object in a previously unseen scene. To tackle this task, the robot must learn a nimble navigation policy by utilizing spatial patterns and semantic co-occurrence relations among objects in the scene. Prevailing approaches…