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20162023
most citedAn End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data

483 citations · 2.7k across the 59 of their papers we have counts for

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Showing 2016Show all

9 papers · 1 filter

cs.CV2016★ 2 cited

Awesome Typography: Statistics-Based Text Effects Transfer

Shuai Yang, Jiaying Liu, Zhouhui Lian +1

In this work, we explore the problem of generating fantastic special-effects for the typography. It is quite challenging due to the model diversities to illustrate varied text effe…

cs.CV2016★ 483 cited

An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data

Sijie Song, Cuiling Lan, Junliang Xing +2

Human action recognition is an important task in computer vision. Extracting discriminative spatial and temporal features to model the spatial and temporal evolutions of different…

cs.CV2016★ 4 cited

Factorized Bilinear Models for Image Recognition

Yanghao Li, Naiyan Wang, Jiaying Liu +1

Although Deep Convolutional Neural Networks (CNNs) have liberated their power in various computer vision tasks, the most important components of CNN, convolutional layers and fully…

cs.CV2016★ 11 cited

Deep Joint Rain Detection and Removal from a Single Image

Wenhan Yang, Robby T. Tan, Jiashi Feng +3

In this paper, we address a rain removal problem from a single image, even in the presence of heavy rain and rain streak accumulation. Our core ideas lie in the new rain image mode…

cs.CV2016★ 3 cited

Photo Stylistic Brush: Robust Style Transfer via Superpixel-Based Bipartite Graph

Jiaying Liu, Wenhan Yang, Xiaoyan Sun +1

With the rapid development of social network and multimedia technology, customized image and video stylization has been widely used for various social-media applications. In this p…

cs.CV2016★ 1 cited

MARLow: A Joint Multiplanar Autoregressive and Low-Rank Approach for Image Completion

Mading Li, Jiaying Liu, Zhiwei Xiong +2

In this paper, we propose a novel multiplanar autoregressive (AR) model to exploit the correlation in cross-dimensional planes of a similar patch group collected in an image, which…

cs.CV2016★ 211 cited

Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution

Wenhan Yang, Jiashi Feng, Jianchao Yang +4

In this work, we consider the image super-resolution (SR) problem. The main challenge of image SR is to recover high-frequency details of a low-resolution (LR) image that are impor…

cs.CV2016★ 1 cited

Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks

Yanghao Li, Cuiling Lan, Junliang Xing +3

Human action recognition from well-segmented 3D skeleton data has been intensively studied and has been attracting an increasing attention. Online action detection goes one step fu…

cs.CV2016★ 379 cited

Revisiting Batch Normalization For Practical Domain Adaptation

Yanghao Li, Naiyan Wang, Jianping Shi +2

Deep neural networks (DNN) have shown unprecedented success in various computer vision applications such as image classification and object detection. However, it is still a common…