Jun Li

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 25

Top Topics

Neural Network Training

Metric Learning

Markov Decision Process

Top Venues

Australasian Conference on Artificial Intelligence

IEEE Trans. Neural Networks Learn. Syst.

Publications

Kairui Guo, Adrian Cheng, Yaqi Li, Jun Li, Rob Duffield, Steven Weidong Su
Cooperative Markov Decision Process model for human-machine co-adaptation in robot-assisted rehabilitation. Knowl. Based Syst. 291 (2024)
Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad
Self-Supervised Object Segmentation with a Cut-and-Pasting GAN. CoRR (2023)
Kairui Guo, Adrian Cheng, Yaqi Li, Jun Li, Rob Duffield, Steven W. Su
Human Machine Co-adaption Interface via Cooperation Markov Decision Process System. CoRR (2023)
Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad
SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation. Sensors 23 (7) (2023)
Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu
Face Hallucination With Finishing Touches. IEEE Trans. Image Process. 30 (2021)
Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu
Face Hallucination with Finishing Touches. CoRR (2020)
Zhaohui Liang, Jimmy Xiangji Huang, Jun Li, Stephen Chan
Enhancing Automated COVID-19 Chest X-ray Diagnosis by Image-to-Image GAN Translation. BIBM (2020)
Guoliang Kang, Jun Li, Dacheng Tao
Shakeout: A New Approach to Regularized Deep Neural Network Training. CoRR (2019)
Yang Zhang, Xiaobo Lu, Jun Li
Single-sample face recognition under varying lighting conditions based on logarithmic total variation. Signal Image Video Process. 13 (4) (2019)
Zijing Chen, Jun Li, Xinhua You
Learn to focus on objects for visual detection. Neurocomputing 348 (2019)
Jun Li, Xun Lin, Xiaoguang Rui, Yong Rui, Dacheng Tao
A Distributed Approach towards Discriminative Distance Metric Learning. CoRR (2019)
Yang Zhang, Peihua Lv, Xiaobo Lu, Jun Li
Face detection and alignment method for driver on highroad based on improved multi-task cascaded convolutional networks. Multim. Tools Appl. 78 (18) (2019)
Aneesh Sreevallabh Chivukula, Jun Li, Wei Liu
Discovering Granger-Causal Features from Deep Learning Networks. Australasian Conference on Artificial Intelligence (2018)
Lunkai Fu, Jun Li, Langxiong Zhou, Zhenyuan Ma, Shaopeng Liu, Zhiyong Lin, Mukesh Prasad
Utilizing Information from Task-Independent Aspects via GAN-Assisted Knowledge Transfer. IJCNN (2018)
Lujuan Zhang, Jun Li, Tao Huang, Zhenyuan Ma, Zhiyong Lin, Mukesh Prasad
GAN2C: Information Completion GAN with Dual Consistency Constraints. IJCNN (2018)
Ancheng Lin, Jun Li, Lujuan Zhang, Zhenyuan Ma, Weiqi Luo
Multiple-Task Learning and Knowledge Transfer Using Generative Adversarial Capsule Nets. Australasian Conference on Artificial Intelligence (2018)
Guoliang Kang, Jun Li, Dacheng Tao
Shakeout: A New Approach to Regularized Deep Neural Network Training. IEEE Trans. Pattern Anal. Mach. Intell. 40 (5) (2018)
Junyi Pan, Jun Li, Xiaoguang Han, Kui Jia
Residual MeshNet: Learning to Deform Meshes for Single-View 3D Reconstruction. 3DV (2018)
Ancheng Lin, Jun Li, Lujuan Zhang, Lei Shi, Zhenyuan Ma
A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions. Australasian Conference on Artificial Intelligence (2018)
Zijing Chen, Xinhua You, Jun Li
Learning to focus for object proposals. SPAC (2017)
Jun Li, Xue Mei, Danil V. Prokhorov, Dacheng Tao
Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene. IEEE Trans. Neural Networks Learn. Syst. 28 (3) (2017)
Zijing Chen, Xinge You, Boxuan Zhong, Jun Li, Dacheng Tao
Dynamically Modulated Mask Sparse Tracking. IEEE Trans. Cybern. 47 (11) (2017)
Zijing Chen, Jun Li, Zhe Chen, Xinge You
Generic Pixel Level Object Tracker Using Bi-Channel Fully Convolutional Network. ICONIP (1) (2017)
Guoliang Kang, Jun Li, Dacheng Tao
Shakeout: A New Regularized Deep Neural Network Training Scheme. AAAI (2016)
Zhang Zhang, Kaiqi Huang, Tieniu Tan, Peipei Yang, Jun Li
ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering. CVPR (2016)
Jun Li, Xun Lin, Xiaoguang Rui, Yong Rui, Dacheng Tao
A Distributed Approach Toward Discriminative Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Jun Li, Dacheng Tao
Simple Exponential Family PCA. IEEE Trans. Neural Networks Learn. Syst. 24 (3) (2013)
Jun Li, Dacheng Tao
Exponential Family Factors for Bayesian Factor Analysis. IEEE Trans. Neural Networks Learn. Syst. 24 (6) (2013)
Jun Li, Dacheng Tao
A Bayesian Factorised Covariance Model for Image Analysis. IJCAI (2013)
Jun Li, Wei Bian, Dacheng Tao, Chengqi Zhang
Learning colours from textures by sparse manifold embedding. Signal Process. 93 (6) (2013)
Jun Li, Dacheng Tao
A Bayesian Hierarchical Factorization Model for Vector Fields. IEEE Trans. Image Process. 22 (11) (2013)
Jun Li, Dacheng Tao
Sampling Normal Distribution Restricted on Multiple Regions. ICONIP (1) (2012)
Zhang Zhang, Jun Cheng, Jun Li, Wei Bian, Dacheng Tao
Segment-Based Features for Time Series Classification. Comput. J. 55 (9) (2012)
Jun Li, Dacheng Tao
On Preserving Original Variables in Bayesian PCA With Application to Image Analysis. IEEE Trans. Image Process. 21 (12) (2012)
Jun Li, Dacheng Tao, Xuelong Li
A probabilistic model for image representation via multiple patterns. Pattern Recognit. 45 (11) (2012)
Jun Li, Dacheng Tao
A Probabilistic Model for Discovering High Level Brain Activities from fMRI. ICONIP (1) (2011)
Jun Li, Dacheng Tao
Wisdom of Crowds: Single Image Super-resolution from the Web. ICDM Workshops (2011)
Jun Li, Wei Bian, Dacheng Tao, Chengqi Zhang
Learning Colours from Textures by Sparse Manifold Embedding. Australasian Conference on Artificial Intelligence (2011)
Jun Li, Dacheng Tao
An Exponential Family Extension to Principal Component Analysis. Aust. J. Intell. Inf. Process. Syst. 11 (4) (2010)
Wei Bian, Jun Li, Dacheng Tao
Feature Extraction for fMRI-Based Human Brain Activity Recognition. MLMI (2010)
Jun Li, Dacheng Tao
Boosted Dynamic Cognitive Activity Recognition from Brain Images. ICMLA (2010)
Jun Li, Dacheng Tao
Simple Exponential Family PCA. AISTATS (2010)
Jun Li, Pengwei Hao
Finding representative landmarks of data on manifolds. Pattern Recognit. 42 (11) (2009)
Jun Li, Pengwei Hao, Chao Zhang
Transferring Colours to Grayscale Images by Locally Linear Embedding. BMVC (2008)
Jun Li, Pengwei Hao
Reliable Representation of Data on Manifolds. BMVC (2008)
Jun Li, Pengwei Hao, Chao Zhang, Mingsong Dou
Hallucinating faces from thermal infrared images. ICIP (2008)
Jun Li, Pengwei Hao
Hierarchical Structuring of Data on Manifolds. CVPR (2007)
Mingsong Dou, Chao Zhang, Pengwei Hao, Jun Li
Converting Thermal Infrared Face Images into Normal Gray-Level Images. ACCV (2) (2007)