Deep neural networks are successfully used in various applications, but ...
Recent one-stage transformer-based methods achieve notable gains in the
...
Online action detection is the task of predicting the action as soon as ...
In this paper, we present a cross-modal recipe retrieval framework,
Tran...
Human-object interaction (HOI) detection as a downstream of object detec...
In this paper, we propose a novel approach to predict group activities g...
A good object segmentation should contain clear contours and complete
re...
Multi-class text classification is one of the key problems in machine
le...
Text summarization aims to generate a headline or a short summary consis...
Abstractive text summarization is a challenging task, and one need to de...
In this paper we present DELTA, a deep learning based language technolog...