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

858 citations

Showing 2019 · cs.CVShow all

7 papers · 2 filters

cs.CV2019★ 858 cited

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

José Ignacio Orlando, Huazhu Fu, João Barbossa Breda +28

Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modali…

cs.CV2019

Fast and Differentiable Message Passing on Pairwise Markov Random Fields

Zhiwei Xu, Thalaiyasingam Ajanthan, Richard Hartley

Despite the availability of many Markov Random Field (MRF) optimization algorithms, their widespread usage is currently limited due to imperfect MRF modelling arising from hand-cra…

cs.CV2019

Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences

Surabhi Verma, Julie Stephany Berrio, Stewart Worrall +1

This paper proposes an automated method to obtain the extrinsic calibration parameters between a camera and a 3D lidar with as low as 16 beams. We use a checkerboard as a reference…

cs.CV2019★ 14 cited

REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments

Yuankai Qi, Qi Wu, Peter Anderson +4

One of the long-term challenges of robotics is to enable robots to interact with humans in the visual world via natural language, as humans are visual animals that communicate thro…

cs.CV2019★ 161 cited

Event-Based Motion Segmentation by Motion Compensation

Timo Stoffregen, Guillermo Gallego, Tom Drummond +2

In contrast to traditional cameras, whose pixels have a common exposure time, event-based cameras are novel bio-inspired sensors whose pixels work independently and asynchronously…

cs.CV2019★ 34 cited

Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors

Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub

Object detection is an integral part of an autonomous vehicle for its safety-critical and navigational purposes. Traffic signs as objects play a vital role in guiding such systems.…