Weakly-supervised temporal action localization (WTAL) aims to detect action instances given only video-level labels. To address the challenge, recent methods commonly employ a two-branch framework, ...

Primary sensory cortex has long been believed to play a straightforward role in the initial processing of sensory information. Yet, the superficial layers of cortex overall are sparsely active, even ...

We base our datasets on the AVCA repository. The dataset structure is identical to AVCA and the dataset folder is called avgzsl_benchmark_non_averaged_datasets. The only difference is that we use ...

a. I have been lucky to be in a position that I can have a positive impact on the career of hundreds (if not thousands) of people. Fortunately, I feel relatively secure in my career and I have ...

Intracranial stereoelectroencephalography (SEEG) is broadly used in the presurgical evaluation of intractable epilepsy, due to its high temporal resolution in neural activity recording and high ...

For centuries, great thinkers have struggled to understand how people represent a personal identity that changes over time. Insight may come from a basic principle of perception: as objects become ...

LSTM networks are designed to overcome long-term dependency issues in sequential data. RNNs utilise memory from previous inputs to affect current outputs, unlike traditional neural networks. The main ...

More than half of the Top 10 supercomputing sites worldwide use GPU accelerators and they are becoming ubiquitous in workstations and edge computing devices. GeNN is a C++ library for generating ...