2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 2 cited
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua +2
Deep learning techniques have become the to-go models for most vision-related tasks on 2D images. However, their power has not been fully realised on several tasks in 3D space, e.g…
cs.CV2016★ 1 cited
Herding Generalizes Diverse M -Best Solutions
Ece Ozkan, Gemma Roig, Orcun Goksel +1
We show that the algorithm to extract diverse M -solutions from a Conditional Random Field (called divMbest [1]) takes exactly the form of a Herding procedure [2], i.e. a determini…
cs.CV2014★ 2 cited
Comment on "Ensemble Projection for Semi-supervised Image Classification"
Xavier Boix, Gemma Roig, Luc Van Gool
In a series of papers by Dai and colleagues [1,2], a feature map (or kernel) was introduced for semi- and unsupervised learning. This feature map is build from the output of an ens…