Tilted fiber Bragg grating (TFBG) sensors are widely used in biochemical and electrochemical sensing due to their high sensitivity to refractive index (RI) of the surrounding medium. Ability of TFB…
Car use restrictions have been adopted in some mega cities that experience rapid car ownership increase and worsening traffic congestion. Although easy to implement and considered fair, most implem…
We tackle the problem of discovering novel classes in an image collection given labelled examples of other classes. We present a new approach called AutoNovel to address this problem by combining t…
In recent years, Siamese network based trackers have significantly advanced the state-of-the-art in real-time tracking. Despite their success, Siamese trackers tend to suffer from high memory costs…
Coherent detection is advantageous in achieving high electrical spectral efficiency (ESE) relative to direct detection (DD), due to its capability of field recovery. However, the stringent requirem…
Standard coherent communication technology is being introduced to short-reach optical communications to further scale the link throughput by leveraging more degrees of freedom of an optical channel…
Semantic scene completion (SSC) is a computer vision task aiming to simultaneously infer the occupancy and semantic labels for each voxel in a scene from partial information consisting of a depth i…
This paper introduces versatile filters to construct efficient convolutional neural networks that are widely used in various visual recognition tasks. Considering the demands of efficient deep lear…
Analysis of online reviews has attracted great attention with broad applications. Often times, the textual reviews are coupled with the numerical ratings in the data. In this work, we propose a pro…
We focus on a fundamental task of detecting meaningful line structures, a.k.a. , semantic line, in natural scenes. Many previous methods regard this problem as a special case of object detection an…