Recent advances in deep learning have shown their ability to learn strong feature
representations for images. The task of image clustering naturally requires good feature …

A non-invasive yet inexpensive method for heart rate (HR) monitoring is of great importance
in many real-world applications including healthcare, psychology understanding, affective …

In this paper we introduce Human-like Sensing or “5 senses computing” as a natural
futuristic extension of Internet-of-Things. We discuss how 3D optical vision, thermal vision …

We propose a novel Line based parameterization for category specific CAD models. The
proposed parameterization associates 3D category-specific CAD model and object under …

We present a simple, fast, and light-weight RNN based framework for forecasting future
locations of humans in first person monocular videos. The primary motivation for this work …

In this paper, we propose a novel non-contact vibration measurement system that is
competent in estimating linear and/or rotational motions of machine parts. The technique …

Autonomous explorative robots frequently encounter scenarios where multiple future
trajectories can be pursued. Often these are cases with multiple paths around an obstacle or …

Constructing a 3D map/perception model of an unknown indoor or outdoor environment
using robotics is of compelling research nowadays because of the importance of the …

In many real applications of quadrotors such as 3D indoor reconstruction, we often fix a
smartphone on the body of a quadrotor, which makes the view waggle when the quadrotor is …

Recently smartphones are used every area in day-to-day life. Smartphones comes with
several built-in sensors like gyroscope, accelerometer etc., along with powerful processing …