Abstract The artistic style (or artistic movement) of a painting is a rich descriptor that captures both visual and historical information about the painting. Correctly identifying the artistic style of […]
Recognizing Art Style Automatically in Painting with Deep Learning Read More »
Abstract The lighting process is one of the biggest power consumption process that have place in every building, from the total energy consumption of a building 25% to 40% being
Frequency Domain Design of Controllers for Lighting Process Read More »
Abstract Multiple Car detection, recognition, and tracking is one of the most rapidly growing systems in image processing used for a video surveillance systems. This has been designed with an
Multiple Car Detection, Recognition and Tracking in Traffic Read More »
Abstract We propose a way to learn visual features that are compatible with previously computed ones even when they have different dimensions and are learned via different neural network architectures
Towards Backward-Compatible Representation Learning Read More »
Abstract Discussion features in online communities can be effectively used to diagnose depression and allow other users or experts to provide self-help resources to those in need. Automatic emotion identification
Abstract Rotating machinery fault diagnosis problems have been well-addressed when sufficient supervised data of the tested machine are available using the latest data-driven methods. However, it is still challenging to
Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning Read More »
Abstract Local feature extraction is one of the most im-portant tasks to build robust video representation in humanaction recognition. Recent advances in computing visual features,especially deep-learned features, have achieved excellent
Distributed Feature Extraction on Apache Spark for Human Action Recognition Read More »
Abstract Human activity recognition is a challenging problem with many applications including visual surveillance, human-computer interactions, autonomous driving, and entertainment. In this study, we propose a hybrid deep model to
Abstract In the age of smart cities, it is envisioned that most processes within the smart city context will be smart and automated. This includes smart houses, smart kitchens, etc.
Abstract The auxiliary classifier can improve the performance of classification networks. However, the utility of the auxiliary detection head has not been explored in the object detection field. In this
Auxiliary Detection Head for One-Stage Object Detection Read More »
