Work
A model to predict the size and shape of online comment threads
On social media platforms such as Reddit and Twitter people can express their opinions and take part in discussions about a variety of topics. This is generally done in comment threads, which allow...
A multi-camera optical tactile sensor that could enable vision-based robotic skins
A team of researchers at ETH Zurich in Switzerland has recently developed a multi-camera optical tactile sensor (i.e., a tactile sensor based on optical devices) that collects information about the...
A multi-objective optimization approach for socially aware robot navigation
Mobile robots are gradually making their way into a number of human-populated environments, including hospitals, malls and people's homes. In order for these robots to interact with humans in their...
A multi-representational convolutional neural network architecture for text classification
Over the past decade or so, convolutional neural networks (CNNs) have proven to be very effective in tackling a variety of tasks, including natural language processing (NLP) tasks. NLP entails the...
A multi-scale body-part mask guided attention network for person re-identification
Person re-identification entails the automated identification of the same person in multiple images from different cameras and with different backgrounds, angles or positions. Despite recent...
Study shows the non-exponential decay of a giant artificial atom
To date, research in quantum optics has primarily investigated the relation between light and matter using small atoms interacting with electromagnetic fields that have substantially larger...
An approach for constructing non-Hermitian topological invariants in real space
In physics, non-Hermitian systems are systems that cannot be described by standard (i.e., Hermitian) laws of quantum mechanics, or more precisely, that can only be described by non-Hermitian...
Study unveils new nonlinear dynamics of spinning bosonic stars
Although researchers have been studying dark matter and trying to observe it, its nature is a longstanding scientific mystery. The standard cosmological model suggests that approximately one-quarter...
A new method to study polarons in insulators and semiconductors
A team of researchers at the University of Oxford have recently introduced a new way to model polarons, a quasiparticle typically used by physicists to understand interactions between electrons and...
A two-view network to predict depth and ego motion from monocular sequences
Researchers from the Embedded Systems and Robotics group at TCS Research & Innovation have recently developed a two-view depth network to infer depth and ego-motion from consecutive monocular...