activity
20142016
most citedAutomatic Objects Removal for Scene Completion

23 citations · 34 across the 9 of their papers we have counts for

collaborators

9 papers

cs.NI2016★ 2 cited

A Machine Learning Based Forwarding Algorithm Over Cognitive Radios in Wireless Mesh Networks

Jianjun Yang, Ju Shen, Ping Guo +2

Wireless Mesh Networks improve their capacities by equipping mesh nodes with multi-radios tuned to non-overlapping channels. Hence the data forwarding between two nodes has multipl…

cs.CV2015★ 6 cited

An Immersive Telepresence System using RGB-D Sensors and Head Mounted Display

Xinzhong Lu, Ju Shen, Saverio Perugini +1

We present a tele-immersive system that enables people to interact with each other in a virtual world using body gestures in addition to verbal communication. Beyond the obvious ap…

cs.CY2015

Leading Undergraduate Students to Big Data Generation

Jianjun Yang, Ju Shen

People are facing a flood of data today. Data are being collected at unprecedented scale in many areas, such as networking, image processing, virtualization, scientific computation…

cs.NI2015★ 1 cited

Improving Routing Efficiency through Intermediate Target Based Geographic Routing

Zongming Fei, Jianjun Yang, Hui Lu

The greedy strategy of geographical routing may cause the local minimum problem when there is a hole in the routing area. It depends on other strategies such as perimeter routing t…

cs.CV2015★ 23 cited

Automatic Objects Removal for Scene Completion

Jianjun Yang, Yin Wang, Honggang Wang +3

With the explosive growth of web-based cameras and mobile devices, billions of photographs are uploaded to the internet. We can trivially collect a huge number of photo streams for…

cs.NI2014

Hole Detection and Shape-Free Representation and Double Landmarks Based Geographic Routing in Wireless Sensor Networks

Jianjun Yang, Zongming Fei, Ju Shen

In wireless sensor networks, an important issue of Geographic Routing is local minimum problem, which is caused by hole that blocks the greedy forwarding process. To avoid the long…