96 citations · 451 across the 20 of their papers we have counts for
6 papers · 1 filter
Infinite Variational Autoencoder for Semi-Supervised Learning
Ehsan Abbasnejad, Anthony Dick, Anton van den Hengel
This paper presents an infinite variational autoencoder (VAE) whose capacity adapts to suit the input data. This is achieved using a mixture model where the mixing coefficients are…
DeepSetNet: Predicting Sets with Deep Neural Networks
S. Hamid Rezatofighi, Vijay Kumar B G, Anton Milan +3
This paper addresses the task of set prediction using deep learning. This is important because the output of many computer vision tasks, including image tagging and object detectio…
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…
FVQA: Fact-based Visual Question Answering
Peng Wang, Qi Wu, Chunhua Shen +2
Visual Question Answering (VQA) has attracted a lot of attention in both Computer Vision and Natural Language Processing communities, not least because it offers insight into the r…
Online Multi-Target Tracking Using Recurrent Neural Networks
Anton Milan, Seyed Hamid Rezatofighi, Anthony Dick +2
We present a novel approach to online multi-target tracking based on recurrent neural networks (RNNs). Tracking multiple objects in real-world scenes involves many challenges, incl…
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Qi Wu, Chunhua Shen, Anton van den Hengel +2
Much recent progress in Vision-to-Language problems has been achieved through a combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). This appro…