Sign in
Yongjun Wu
ORCID
Publication Activity (10 Years)
Years Active: 1998-2023
Publications (10 Years): 26
Top Topics
Video Quality
High Dynamic Range
Quality Assessment
Tumor Segmentation
Top Venues
CoRR
DCC
IEEE Trans. Image Process.
Multim. Tools Appl.
</>
Publications
</>
Joshua Peter Ebenezer
,
Zaixi Shang
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
,
Alan C. Bovik
Making Video Quality Assessment Models Robust to Bit Depth.
CoRR
(2023)
Yuqi Xiao
,
Yongjun Wu
The Static Adjustment Method of Secondary Suspension Load for Six-Axle Locomotives via Modified Mayfly Optimization Algorithm.
IEEE Trans. Intell. Transp. Syst.
24 (9) (2023)
Joshua Peter Ebenezer
,
Zaixi Shang
,
Yixu Chen
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
,
Alan C. Bovik
HDR or SDR? A Subjective and Objective Study of Scaled and Compressed Videos.
CoRR
(2023)
Yuqi Xiao
,
Yongjun Wu
Robust visual tracking based on modified mayfly optimization algorithm.
Image Vis. Comput.
135 (2023)
Yuqi Xiao
,
Yongjun Wu
,
Fan Yang
A scale adaptive generative target tracking method based on modified particle filter.
Multim. Tools Appl.
82 (20) (2023)
Zaixi Shang
,
Yixu Chen
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
Subjective and Objective Video Quality Assessment of High Dynamic Range Sports Content.
WACV (Workshops)
(2023)
Li Zeng
,
Hongzhong Tang
,
Wei Wang
,
Mingjian Xie
,
Zhaoyang Ai
,
Lei Chen
,
Yongjun Wu
MAMC-Net: an effective deep learning framework for whole-slide image tumor segmentation.
Multim. Tools Appl.
82 (25) (2023)
Joshua Peter Ebenezer
,
Zaixi Shang
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
,
Alan C. Bovik
HDR-ChipQA: No-Reference Quality Assessment on High Dynamic Range Videos.
CoRR
(2023)
Zaixi Shang
,
Joshua Peter Ebenezer
,
Alan C. Bovik
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
Subjective Assessment Of High Dynamic Range Videos Under Different Ambient Conditions.
ICIP
(2022)
Zaixi Shang
,
Joshua Peter Ebenezer
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
,
Alan C. Bovik
Study of the Subjective and Objective Quality of High Motion Live Streaming Videos.
IEEE Trans. Image Process.
31 (2022)
Zaixi Shang
,
Joshua Peter Ebenezer
,
Alan C. Bovik
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
Subjective Assessment of High Dynamic Range Videos Under Different Ambient Conditions.
CoRR
(2022)
Liang Hou
,
Chunhua Chen
,
Shaojie Wang
,
Yongjun Wu
,
Xiu Chen
Multi-Object Detection Method in Construction Machinery Swarm Operations Based on the Improved YOLOv4 Model.
Sensors
22 (19) (2022)
Joshua Peter Ebenezer
,
Yixu Chen
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-Bitrates.
ICIP
(2022)
Zaixi Shang
,
Joshua Peter Ebenezer
,
Alan C. Bovik
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
Assessment of Subjective and Objective Quality of Live Streaming Sports Videos.
PCS
(2021)
Joshua Peter Ebenezer
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
,
Zongyi Liu
Detection of Audio-Video Synchronization Errors Via Event Detection.
CoRR
(2021)
Joshua Peter Ebenezer
,
Zaixi Shang
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
,
Alan C. Bovik
ChipQA: No-Reference Video Quality Prediction via Space-Time Chips.
IEEE Trans. Image Process.
30 (2021)
Joshua Peter Ebenezer
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
,
Zongyi Liu
Detection of Audio-Video Synchronization Errors Via Event Detection.
ICASSP
(2021)
Yuqi Xiao
,
Yongjun Wu
,
Fan Yang
Robust Visual Tracking Based on a Modified Flower Pollination Algorithm.
IEEE Access
9 (2021)
Joshua Peter Ebenezer
,
Zaixi Shang
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
,
Alan C. Bovik
ChipQA: No-Reference Video Quality Prediction via Space-Time Chips.
CoRR
(2021)
Joshua Peter Ebenezer
,
Zaixi Shang
,
Yongjun Wu
,
Hai Wei
,
Alan C. Bovik
No-Reference Video Quality Assessment Using Space-Time Chips.
MMSP
(2020)
Yongjun Wu
,
Guangjun Gao
,
Can Cui
Improved Wavelet Denoising by Non-Convex Sparse Regularization Under Double Wavelet Domains.
IEEE Access
7 (2019)
Deepthi Nandakumar
,
Yongjun Wu
,
Hai Wei
,
Avisar Ten-Ami
On the accuracy of video quality measurement techniques.
MMSP
(2019)
Fangcui Jiang
,
Bo Liu
,
Yongjun Wu
,
Yunru Zhu
Asynchronous consensus of second-order multi-agent systems with impulsive control and measurement time-delays.
Neurocomputing
275 (2018)
Xiaoran Duan
,
Yongli Yang
,
Shanjuan Tan
,
Sihua Wang
,
Xiaolei Feng
,
Liuxin Cui
,
Feifei Feng
,
Songcheng Yu
,
Wei Wang
,
Yongjun Wu
Application of artificial neural network model combined with four biomarkers in auxiliary diagnosis of lung cancer.
Medical Biol. Eng. Comput.
55 (8) (2017)
Hong Niu
,
Dongcheng Tan
,
Yongjun Wu
Analog Circuit Implementation and Full State Observation of Chua's Circuit.
J. Robotics Netw. Artif. Life
3 (2) (2016)
Yongjun Wu
,
Long Wang
Sampled-data consensus for multi-agent systems with quantised communication.
Int. J. Control
88 (2) (2015)
Srinath Reddy
,
Sandeep Kanumuri
,
Yongjun Wu
,
Shyam Sadhwani
,
Gary J. Sullivan
,
Henrique S. Malvar
Subband Decomposition for High-Resolution Color in HEVC and AVC 4: 2: 0 Video Coding Systems.
DCC
(2014)
Yongjun Wu
,
Sandeep Kanumuri
,
Yifu Zhang
,
Shyam Sadhwani
,
Gary J. Sullivan
,
Henrique S. Malvar
Tunneling High-Resolution Color Content through 4: 2: 0 HEVC and AVC Video Coding Systems.
DCC
(2013)
Feifei Feng
,
Yiming Wu
,
Yongjun Wu
,
Guangjin Nie
,
Ran Ni
The Effect of Artificial Neural Network Model Combined with Six Tumor Markers in Auxiliary Diagnosis of Lung Cancer.
J. Medical Syst.
36 (5) (2012)
Yongjun Wu
,
Yiming Wu
,
Jing Wang
,
Zhen Yan
,
Lingbo Qu
,
Bingren Xiang
,
Yiguo Zhang
An optimal tumor marker group-coupled artificial neural network for diagnosis of lung cancer.
Expert Syst. Appl.
38 (9) (2011)
Yongjun Wu
,
Na Wang
,
Hongsheng Zhang
,
Lijuan Qin
,
Zhen Yan
,
Yiming Wu
Application of artificial neural networks in the diagnosis of lung cancer by computed tomography.
ICNC
(2010)
Yongjun Wu
,
Konstantin Hanke
,
Thomas Rusert
,
John W. Woods
Corrections to "Enhanced MC-EZBC Scalable Video Coder".
IEEE Trans. Circuits Syst. Video Technol.
19 (3) (2009)
Dongmei Xie
,
Yongjun Wu
,
Xiaoxin Chen
Stabilization of Discrete-Time Switched Systems with Input Time Delay and Its Applications in Networked Control Systems.
Circuits Syst. Signal Process.
28 (4) (2009)
Ming Luo
,
Yongjun Wu
,
Jianhua Peng
Washout filter aided mean field feedback desynchronization in an ensemble of globally coupled neural oscillators.
Biol. Cybern.
101 (3) (2009)
Feifei Feng
,
Yongjun Wu
,
Chu Zhang
,
Yiming Wu
Application of Artificial Neural Network Model Established by Tumor Markers and Bronchofibroscopic Data in Auxiliary Diagnosis of Lung Cancer.
ICNC (2)
(2009)
Yongjun Wu
,
Wang Fang
,
Jianhua Peng
,
Ming Luo
First-firing statistics of a neuron bombarded by additive coloured noise: stochastic averaging method.
Int. J. Comput. Math.
85 (6) (2008)
Yongjun Wu
,
Jianhua Peng
,
Ming Luo
First Spiking Dynamics of Stochastic Neuronal Model with Optimal Control.
ICONIP (1)
(2008)
Joshua Peter Ebenezer
,
Zaixi Shang
,
Yongjun Wu
,
Hai Wei
,
Sriram Sethuraman
,
Alan C. Bovik
Making Video Quality Assessment Models Robust to Bit Depth.
IEEE Signal Process. Lett.
15 (2008)
Yongjun Wu
,
Konstantin Hanke
,
Thomas Rusert
,
John W. Woods
Enhanced MC-EZBC Scalable Video Coder.
IEEE Trans. Circuits Syst. Video Technol.
18 (10) (2008)
Yongjun Wu
,
John W. Woods
Aliasing Reduction via Frequency Roll-Off for Scalable Image/Video Coding.
IEEE Trans. Circuits Syst. Video Technol.
18 (1) (2008)
Yongjun Wu
,
John W. Woods
Scalable Motion Vector Coding Based on CABAC for MC-EZBC.
IEEE Trans. Circuits Syst. Video Technol.
17 (6) (2007)
Yongjun Wu
,
John W. Woods
Scalable motion vector coding for MC-EZBC.
Electronic Imaging: Image and Video Communications and Processing
(2005)
Srinivas Andra
,
Yongjun Wu
Multiresolution Histograms for SVM-Based Texture Classification.
ICIAR
(2005)
Yongjun Wu
,
John W. Woods
Analysis of motion-compensated temporal filtering versus motion-compensated prediction.
Electronic Imaging: Image and Video Communications and Processing
(2005)
Yongjun Wu
,
John W. Woods
Directional spatial I-blocks for the MC-EZBC video coder.
ICASSP (3)
(2004)
Yongjun Wu
,
Christian Döschner
A Error-oriented Self-organizing Neural Network for Identification of a Processing Unit.
NC
(1998)