Video description is the automatic generation of natural language sentences that describe
the contents of a given video. It has applications in human-robot interaction, helping the …

In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …

In today's world, video captioning is extensively used in various applications for specially-
abled and, more specifically, visually abled persons. With advancements in technology for …

Video question answering (VideoQA) is challenging as it requires modeling capacity to distill
dynamic visual artifacts and distant relations and to associate them with linguistic concepts …

Data-driven saliency has recently gained a lot of attention thanks to the use of convolutional
neural networks for predicting gaze fixations. In this paper, we go beyond standard …

Abstract Recurrent Neural Networks with Long Short-Term Memory (LSTM) make use of
gating mechanisms to mitigate exploding and vanishing gradients when learning long-term …

This paper considers a video caption generating network referred to as Semantic Grouping
Network (SGN) that attempts (1) to group video frames with discriminating word phrases of …

Automatic generation of video captions is a fundamental challenge in computer vision.
Recent techniques typically employ a combination of Convolutional Neural Networks …

Existing methods on video captioning have made great efforts to identify objects/instances in
videos, but few of them emphasize the prediction of action. As a result, the learned models …

Dense video captioning is a task of localizing interesting events from an untrimmed video
and producing textual description (captions) for each localized event. Most of the previous …