output
20112026
most citedREFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

858 citations

Showing 2017 · cs.CVShow all

13 papers · 2 filters

cs.CV2017★ 16 cited

Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning

Qi Wu, Peng Wang, Chunhua Shen +2

The Visual Dialogue task requires an agent to engage in a conversation about an image with a human. It represents an extension of the Visual Question Answering task in that the age…

cs.CV2017★ 13 cited

Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization

Yu Chen, Chunhua Shen, Hao Chen +3

Landmark/pose estimation in single monocular images have received much effort in computer vision due to its important applications. It remains a challenging task when input images…

cs.CV2017★ 5 cited

On Encoding Temporal Evolution for Real-time Action Prediction

Fahimeh Rezazadegan, Sareh Shirazi, Mahsa Baktashmotlagh +1

Anticipating future actions is a key component of intelligence, specifically when it applies to real-time systems, such as robots or autonomous cars. While recent works have addres…

cs.CV2017★ 26 cited

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection

Thanh-Toan Do, Anh Nguyen, Ian Reid

We propose AffordanceNet, a new deep learning approach to simultaneously detect multiple objects and their affordances from RGB images. Our AffordanceNet has two branches: an objec…

cs.CV2017★ 15 cited

Visual Question Answering with Memory-Augmented Networks

Chao Ma, Chunhua Shen, Anthony Dick +4

In this paper, we exploit a memory-augmented neural network to predict accurate answers to visual questions, even when those answers occur rarely in the training set. The memory ne…

cs.CV2017

Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels

Benjamin J. Meyer, Ben Harwood, Tom Drummond

We present a Gaussian kernel loss function and training algorithm for convolutional neural networks that can be directly applied to both distance metric learning and image classifi…