93 citations · 446 across the 32 of their papers we have counts for
4 papers · 1 filter
Zero-Shot Visual Question Answering
Damien Teney, Anton van den Hengel
Part of the appeal of Visual Question Answering (VQA) is its promise to answer new questions about previously unseen images. Most current methods demand training questions that ill…
Graph-Structured Representations for Visual Question Answering
Damien Teney, Lingqiao Liu, Anton van den Hengel
This paper proposes to improve visual question answering (VQA) with structured representations of both scene contents and questions. A key challenge in VQA is to require joint reas…
Visual Question Answering: A Survey of Methods and Datasets
Qi Wu, Damien Teney, Peng Wang +3
Visual Question Answering (VQA) is a challenging task that has received increasing attention from both the computer vision and the natural language processing communities. Given an…
Learning to Extract Motion from Videos in Convolutional Neural Networks
Damien Teney, Martial Hebert
This paper shows how to extract dense optical flow from videos with a convolutional neural network (CNN). The proposed model constitutes a potential building block for deeper archi…