output
20062026
most citedThe Medical Segmentation Decathlon

1.3k citations

Showing 2016 · cs.CVShow all

8 papers · 2 filters

cs.CV2016★ 60 cited

RMPE: Regional Multi-person Pose Estimation

Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai +1

Multi-person pose estimation in the wild is challenging. Although state-of-the-art human detectors have demonstrated good performance, small errors in localization and recognition…

cs.CV2016★ 39 cited

SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning

Long Chen, Hanwang Zhang, Jun Xiao +4

Visual attention has been successfully applied in structural prediction tasks such as visual captioning and question answering. Existing visual attention models are generally spati…

cs.CV2016★ 85 cited

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

Zhuxi Jiang, Yin Zheng, Huachun Tan +2

Clustering is among the most fundamental tasks in computer vision and machine learning. In this paper, we propose Variational Deep Embedding (VaDE), a novel unsupervised generative…

cs.CV2016★ 255 cited

Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples

Yuan Gao, Jiayi Ma, Alan L. Yuille

This paper addresses the problem of face recognition when there is only few, or even only a single, labeled examples of the face that we wish to recognize. Moreover, these examples…

cs.CV2016★ 11 cited

Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding

Xiang Zhang, Jiarui Sun, Siwei Ma +4

Sparse representation leads to an efficient way to approximately recover a signal by the linear composition of a few bases from a learnt dictionary, based on which various successf…

cs.CV2016★ 6 cited

Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images

Yuan Gao, Alan L. Yuille

Many man-made objects have intrinsic symmetries and Manhattan structure. By assuming an orthographic projection model, this paper addresses the estimation of 3D structures and came…