7 accepted papers
Sleep stage classification typically requires the uncomfortable and expensive polysomnography (PSG) test, which limits its widespread use in long-term monitoring and home-based environments. In this paper, we propose SleepTFANet, a novel deep learning model designed for automatic sleep stage classif…
The synthesis of high-quality multivariate time series (MTS) is critical for enhancing the performance of predictive models and data-driven decision-making. This paper introduces a novel approach to MTS generation, integrating multi-scale data fusion with self-attention mechanisms to capture complex…
Shape from Polarization (SfP) aims to recover surface normal using the polarization cues of light. The accuracy of existing SfP methods is affected by two main problems. First, the ambiguity of polarization cues partially results in false normal estimation. Second, the widely-used assumption about o…
Three-dimensional reconstruction of dynamic objects is important for robotic applications, for example, the robotic recognition and manipulation. In this paper, we present a novel 3D surface reconstruction method for moving objects. The proposed method combines the spatial-multiplexing and time-mult
Existing end-to-end task-oriented dialog systems struggle to dynamically model long dialog context for interactions and effectively incorporate knowledge base (KB) information into dialog generation. To conquer these limitations, we propose a Dual Dynamic Memory Network (DDMN) for multi-turn dialog…
Conventional robot hand-eye calibration methods are impractical for localizing robotic instruments in minimally-invasive surgeries under intra-corporeal workspace after preoperative set-up. In this letter, we present a new approach to autonomously calibrate a robotic instrument relative to a monocul
Three-dimensional vision plays an important role in robotics. In this paper, we present a 3D surface reconstruction scheme based on combination of stereo matching and pattern projection. A two-step matching scheme is proposed to establish reliable correspondence between stereo images with high compu