7 accepted papers
Current dual-fusion models for 6D pose estimation often lead to increased computational complexity and risk of overfitting with the addition of more networks. To address this, we propose a Cross-modal Fusion Network (CFN), which extracts robust dual-modal features while reducing computation energy a…
Shaft-rate electromagnetic (EM) field is a critical feature in the detection of ships and underwater vehicles. However, the signal-to-noise ratio of the shaft-rate EM field is greatly reduced due to the presence of the static EM field, whose main energy is concentrated in the low-frequency section.…
Multi-stream signals are increasingly being used in robot-assisted rehabilitation training, where the timely and accurate prediction of a patient's motor intentions is frequently required to provide simultaneous and proportional control strategies. However, existing methods for motion intent predict
In recent years, Correlation Filter (CF) based tracking methods using Convolutional Neural Network (CNN) features have achieved the state-of-the-art performance for object tracking. However, how to design an efficient deep CF based tracking method has not been well studied in the literature. To addr…
Model-based diagnosis (MBD) with multiple observations is complicated and difficult to manage over. In this paper, we proposed two new diagnosis models, namely, the Compacted Model with Multiple Observations (CMMO) and the Dominated-based Compacted Model with Multiple Observations (D-CMMO), to solv…
Query auto completion (QAC) is the task of predicting a search engine user’s final query from their intermediate, incomplete query. In this paper, we extend QAC to the streaming voice search setting, where automatic speech recognition systems produce intermediate transcriptions as users speak. Naive…
The depth image based rendering (DIBR) plays a key role in 3D video synthesis, by which other virtual views can be generated from a 2D video and its depth map. However, in the synthesis process, the background occluded by the foreground objects might be exposed in the new view, resulting in some hol…