User profiles for Jianjun Lei
Jianjun LeiTianjin University Verified email at tju.edu.cn Cited by 4493 |
Fast motion estimation based on content property for low-complexity H. 265/HEVC encoder
The high definition (HD) and ultra HD videos can be widely applied in broadcasting
applications. However, with the increased resolution of video, the volume of the raw HD visual …
applications. However, with the increased resolution of video, the volume of the raw HD visual …
Co-saliency detection for RGBD images based on multi-constraint feature matching and cross label propagation
Co-saliency detection aims at extracting the common salient regions from an image group
containing two or more relevant images. It is a newly emerging topic in computer vision …
containing two or more relevant images. It is a newly emerging topic in computer vision …
Reliability optimization for channel resource allocation in multihop wireless network: A multigranularity deep reinforcement learning approach
Y Wang, F Shang, J Lei - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
This article investigates the high-reliable data transmission for multihop and multichannel
wireless sensor networks (WSNs), which jointly optimizes the channel allocation and channel …
wireless sensor networks (WSNs), which jointly optimizes the channel allocation and channel …
Review of visual saliency detection with comprehensive information
The visual saliency detection model simulates the human visual system to perceive the
scene and has been widely used in many vision tasks. With the development of acquisition …
scene and has been widely used in many vision tasks. With the development of acquisition …
[HTML][HTML] Hyperglycemia, a neglected factor during cancer progression
W Duan, X Shen, J Lei, Q Xu, Y Yu, R Li… - BioMed research …, 2014 - hindawi.com
Recent evidence from large cohort studies suggests that there exists a higher cancer
incidence in people with type 2 diabetes (DM2). However, to date, the potential reasons for this …
incidence in people with type 2 diabetes (DM2). However, to date, the potential reasons for this …
Saliency detection for stereoscopic images based on depth confidence analysis and multiple cues fusion
Stereoscopic perception is an important part of human visual system that allows the brain to
perceive depth. However, depth information has not been well explored in existing saliency …
perceive depth. However, depth information has not been well explored in existing saliency …
SDF-1/CXCR4 signaling induces pancreatic cancer cell invasion and epithelial–mesenchymal transition in vitro through non-canonical activation of Hedgehog …
In our previous study, we found that blockade of SDF-1/CXCR4 signaling inhibits pancreatic
cancer cell migration and invasion in vitro. However, the mechanism governing the …
cancer cell migration and invasion in vitro. However, the mechanism governing the …
[HTML][HTML] Overview of emerging contaminants and associated human health effects
M Lei, L Zhang, J Lei, L Zong, J Li, Z Wu… - BioMed research …, 2015 - hindawi.com
In recent decades, because of significant progress in the analysis and detection of trace
pollutants, emerging contaminants have been discovered and quantified in living beings and …
pollutants, emerging contaminants have been discovered and quantified in living beings and …
Sonic hedgehog paracrine signaling activates stromal cells to promote perineural invasion in pancreatic cancer
X Li, Z Wang, Q Ma, Q Xu, H Liu, W Duan, J Lei… - Clinical Cancer …, 2014 - AACR
Purpose: Pancreatic cancer is characterized by stromal desmoplasia and perineural invasion
(PNI). We sought to explore the contribution of pancreatic stellate cells (PSC) activated by …
(PNI). We sought to explore the contribution of pancreatic stellate cells (PSC) activated by …
Going from RGB to RGBD saliency: A depth-guided transformation model
Depth information has been demonstrated to be useful for saliency detection. However, the
existing methods for RGBD saliency detection mainly focus on designing straightforward and …
existing methods for RGBD saliency detection mainly focus on designing straightforward and …