51 citations · 65 across the 3 of their papers we have counts for
5 papers
Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19
Shuhui Gong, Xiaopeng Mo, Rui Cao +3
Parking demand forecasting and behaviour analysis have received increasing attention in recent years because of their critical role in mitigating traffic congestion and understandi…
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Qing Li, Jiasong Zhu, Jun Liu +4
Estimating depth from RGB images can facilitate many computer vision tasks, such as indoor localization, height estimation, and simultaneous localization and mapping (SLAM). Recent…
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
Jun Liu, Qing Li, Rui Cao +2
Predicting depth from a single image is an attractive research topic since it provides one more dimension of information to enable machines to better perceive the world. Recently,…
Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network
Rui Cao, Qian Zhang, Jiasong Zhu +4
With the rapid growing of remotely sensed imagery data, there is a high demand for effective and efficient image retrieval tools to manage and exploit such data. In this letter, we…
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization
Qing Li, Jiasong Zhu, Rui Cao +5
6DOF camera relocalization is an important component of autonomous driving and navigation. Deep learning has recently emerged as a promising technique to tackle this problem. In th…