4 accepted papers
Surgical procedures are inherently complex and dynamic, with intricate dependencies and various execution paths. Accurate identification of the intentions behind critical actions, referred to as Primary Intentions (PIs), is crucial to understanding and planning the procedure. This paper presents a n
Accurate anatomical landmark tracking is crucial yet challenging in laparoscopic surgery due to the changing appearance of landmarks during dynamic tool-anatomy interactions and visual domain shifts between cases. Unlike appearance-based detection methods, this work proposes a novel graph-based appr
Robot-Assisted Minimally Invasive Surgery (RAMIS), which introduced robot-actuated invasive tools to increase the dexterity and efficiency of traditional MIS, has become popular. Investigations on how to achieve autonomy in RAMIS have drawn vast intention recently, which urges further insights into…
Neural text-to-speech (TTS) approaches generally require a huge number of high quality speech data, which makes it difficult to obtain such a dataset with extra emotion labels. In this paper, we propose a novel approach for emotional TTS synthesis on a TTS dataset without emotion labels. Specificall…