3.7k citations · 13.3k across the 162 of their papers we have counts for
25 papers · 1 filter
Deep Learning with S-shaped Rectified Linear Activation Units
Xiaojie Jin, Chunyan Xu, Jiashi Feng +3
Rectified linear activation units are important components for state-of-the-art deep convolutional networks. In this paper, we propose a novel S-shaped rectified linear activation…
Online Crowdsourcing
Changbo Zhu, Huan Xu, Shuicheng Yan
With the success of modern internet based platform, such as Amazon Mechanical Turk, it is now normal to collect a large number of hand labeled samples from non-experts. The Dawid-…
Reversible Recursive Instance-level Object Segmentation
Xiaodan Liang, Yunchao Wei, Xiaohui Shen +4
In this work, we propose a novel Reversible Recursive Instance-level Object Segmentation (R2-IOS) framework to address the challenging instance-level object segmentation task. R2-I…
Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting
Canyi Lu, Huan Li, Zhouchen Lin +1
The Augmented Lagragian Method (ALM) and Alternating Direction Method of Multiplier (ADMM) have been powerful optimization methods for general convex programming subject to linear…
Semantic Object Parsing with Local-Global Long Short-Term Memory
Xiaodan Liang, Xiaohui Shen, Donglai Xiang +3
Semantic object parsing is a fundamental task for understanding objects in detail in computer vision community, where incorporating multi-level contextual information is critical f…
Convex Sparse Spectral Clustering: Single-view to Multi-view
Canyi Lu, Shuicheng Yan, Zhouchen Lin
Spectral Clustering (SC) is one of the most widely used methods for data clustering. It first finds a low-dimensonal embedding of data by computing the eigenvectors of the norm…