Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

This is a tutorial and survey paper on metric learning. Algorithms are divided into spectral,
probabilistic, and deep metric learning. We first start with the definition of distance metric …

Siamese network has obtained growing attention in real-life applications. In this survey, we
present an comprehensive review on Siamese network from the aspects of methodologies …

Gait recognition aims at identifying the pedestrians at a long distance by their biometric gait
patterns. It is inherently challenging due to the various covariates and the properties of …

Livestock, throughout their lifespan, are transported to multiple destinations before being
processed into consumable goods. The assurance of authentic product delivery hinges on …

Gait recognition is a unique biometric technique that can be performed at a long distance
non-cooperatively and has broad applications in public safety and intelligent traffic systems …

Automatic assembly is a promising research topic in 3D computer vision and robotics.
Existing works focus on generating assembly (eg, IKEA furniture) from scratch with a set of …

With the advent of consumer wearables that capture brain activity, the use of brainwaves to
verify a user's identity has been proposed as a convenient alternative to passwords. While …

We analyze the effect of offline and online triplet mining for colorectal cancer (CRC)
histopathology dataset containing 100,000 patches. We consider the extreme, ie, farthest …

The BERT model was fine-tuned to give state-of-the-art results in sentence-pair regressions.
However, this model requires that both questions are fed into the network, which leads to a …