Human beings experience life through a spectrum of modes such as vision, taste, hearing,
smell, and touch. These multiple modes are integrated for information processing in our …

As humans, we experience the world with all our senses or modalities (sound, sight, touch,
smell, and taste). We use these modalities, particularly sight and touch, to convey and …

Video action recognition needs to model any differences by subdividing the spatio-temporal
features to distinguish various actions. We propose rethinking spatio-temporal cross …

Multi-action video recognition is much more challenging due to the requirement to recognize
multiple actions co-occurring simultaneously or sequentially. Modeling multi-action relations …

Applications such as providing a preview of personal albums (eg, Google Photos) or
suggesting thematic collections based on user interests (eg, Pinterest) require a …

Action in video usually involves the interaction of human with objects. Action labels are
typically composed of various combinations of verbs and nouns, but we may not have …

Image classification is a challenging problem and often suffers from the bottleneck of visual
features. With the ever-growing availability of multimedia data with the help of the Internet …

Although artificial intelligence (AI) has achieved many feats at a rapid pace, there still exist
open problems and fundamental shortcomings related to performance and resource …

As the basis of high-level visual tasks, edge detection is significant. Most of the encoder-
decoder edge detection methods used convolutional neural networks, such as VGG16 or …

In e-commerce, product related video is important content to introduce product
characteristics and attract consumers. Especially in the recommendation system of e …