5 accepted papers
Deep neural networks (DNNs) have significantly advanced diabetic retinopathy (DR) diagnosis, yet their black-box nature limits clinical acceptance due to a lack of interpretability. Concept bottleneck model (CBM) offers a promising solution by enabling concept-level reasoning and test-time intervent
Human motion prediction is a fundamental task in human-robot interaction and self-driving. Many existing human motion prediction methods use one encoder to embed the historical human poses and one decoder to predict future motion poses. We believe that it is possible to estimate the deviation of the…
Autonomous suturing is a critical challenge in robot-assisted surgery, where accurate segmentation and pose estimation of suturing threads are essential prerequisites. However, suturing threads are easily occluded by moving instruments and embedded in deformable tissues which make the task much more
For the development of robotic systems for micromanipulation, it is challenging to design appropriate control strategies due to either the lack of sufficient information for feedback or the difficulty in extracting subtle yet critical visual features. With the same system under the teleoperated mode…
Eye gaze can convey rich information of human intentions, which enables the social robots to comprehend the cognition and behavior of human targets. However, the existing 3D gaze estimation methods generally have high requirements either on the dedicated hardware or the quantity and quality of train…