Jun Li

67 papers A* 5A 4B 3C 1Misc 1Journal 37Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions.
CoRR
Xing Zi, Tengjun Ni, Xianjing Fan, Xian Tao, Jun Li, Ali Braytee, Mukesh Prasad
2025 J jnl
Dynamic Appearance Particle Neural Radiance Field.
IEEE Trans. Circuits Syst. Video Technol.
Ancheng Lin, Yusheng Xiang, Jun Li, Mukesh Prasad
2025 — conf
Lightweight Motion-Aware Video Super-Resolution for Compressed Videos.
MMM (2)
Ilhwan Kwon, Jun Li, Rajiv Ratn Shah, Mukesh Prasad
2025 A* conf
RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering.
ACM Multimedia
Xing Zi, Jinghao Xiao, Yunxiao Shi, Xian Tao, Jun Li, Ali Braytee, Mukesh Prasad
2025 J jnl
RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering.
CoRR
Xing Zi, Jinghao Xiao, Yunxiao Shi, Xian Tao, Jun Li, Ali Braytee, Mukesh Prasad
2025 J jnl
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing.
CoRR
Xing Zi, Kairui Jin, Xian Tao, Jun Li, Ali Braytee, Rajiv Ratn Shah, Mukesh Prasad
2024 — conf
BDC Dataset: A Comprehensive Dataset for Automated Build Damage Classification.
ADMA (1)
Xing Zi, Yunxiao Shi, Taoyuan Zhu, Kairui Jin, Xian Tao, Jun Li, Karthick Thiyagarajan, Mukesh Prasad
2024 J jnl
Cooperative Markov Decision Process model for human-machine co-adaptation in robot-assisted rehabilitation.
Knowl. Based Syst.
Kairui Guo, Adrian Cheng, Yaqi Li, Jun Li, Rob Duffield, Steven Weidong Su
2024 J jnl
Direct Learning of Mesh and Appearance via 3D Gaussian Splatting.
CoRR
Ancheng Lin, Jun Li
2024 J jnl
Normal Transformer: Extracting Surface Geometry From LiDAR Points Enhanced by Visual Semantics.
IEEE Trans. Intell. Veh.
Ancheng Lin, Jun Li, Yusheng Xiang, Wei Bian, Mukesh Prasad
2024 A conf
Short-Term Time Series State of Charge Prediction in Electric Vehicle LGM50 Batteries: A Rolling Forecasting Approach.
ICST
Zeyang Zhou, Angelo Greco, Fenix Huang, Karthick Thiyagarajan, Jun Li, Mukesh Prasad
2023 J jnl
Human Machine Co-adaption Interface via Cooperation Markov Decision Process System.
CoRR
Kairui Guo, Adrian Cheng, Yaqi Li, Jun Li, Rob Duffield, Steven W. Su
2023 J jnl
SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation.
Sensors
Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad
2023 J jnl
Self-Supervised Object Segmentation with a Cut-and-Pasting GAN.
CoRR
Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad
2022 J jnl
A Multiscale Wavelet Kernel Regularization-Based Feature Extraction Method for Electronic Nose.
IEEE Trans. Syst. Man Cybern. Syst.
Taoping Liu, Wentian Zhang, Jun Li, Maiken Ueland, Shari L. Forbes, Wei Xing Zheng, Steven Weidong Su
2021 J jnl
An Extension of BIM Using AI: A Multi Working-Machines Pathfinding Solution.
IEEE Access
Yusheng Xiang, Kailun Liu, Tianqing Su, Jun Li, Shirui Ouyang, Samuel S. Mao, Marcus Geimer
2021 J jnl
An Extension of BIM Using AI: a Multi Working-Machines Pathfinding Solution.
CoRR
Yusheng Xiang, Kailun Liu, Tianqing Su, Jun Li, Shirui Ouyang, Samuel S. Mao, Marcus Geimer
2021 Misc conf
F-Net: Fusion Neural Network for Vehicle Trajectory Prediction in Autonomous Driving.
ICASSP
Jue Wang, Ping Wang, Chao Zhang, Kuifeng Su, Jun Li
2021 J jnl
Face Hallucination With Finishing Touches.
IEEE Trans. Image Process.
Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu
2021 J jnl
KIT Bus: A Shuttle Model for CARLA Simulator.
CoRR
Yusheng Xiang, Shuo Wang, Tianqing Su, Jun Li, Samuel S. Mao, Marcus Geimer
2020 — conf
Enhancing Automated COVID-19 Chest X-ray Diagnosis by Image-to-Image GAN Translation.
BIBM
Zhaohui Liang, Jimmy Xiangji Huang, Jun Li, Stephen Chan
2020 J jnl
Face Hallucination with Finishing Touches.
CoRR
Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu
2019 J jnl
A Distributed Approach towards Discriminative Distance Metric Learning.
CoRR
Jun Li, Xun Lin, Xiaoguang Rui, Yong Rui, Dacheng Tao
2019 J jnl
Advanced Quantum Based Neural Network Classifier and Its Application for Objectionable Web Content Filtering.
IEEE Access
Om Prakash Patel, Neha Bharill, Aruna Tiwari, Vikram Patel, Ojas Gupta, Jian Cao, Jun Li, Mukesh Prasad
2019 J jnl
Face detection and alignment method for driver on highroad based on improved multi-task cascaded convolutional networks.
Multim. Tools Appl.
Yang Zhang, Peihua Lv, Xiaobo Lu, Jun Li
2019 J jnl
Learn to focus on objects for visual detection.
Neurocomputing
Zijing Chen, Jun Li, Xinhua You
2019 J jnl
On Learning and Learned Data Representation by Capsule Networks.
IEEE Access
Ancheng Lin, Jun Li, Zhenyuan Ma
2019 J jnl
Shakeout: A New Approach to Regularized Deep Neural Network Training.
CoRR
Guoliang Kang, Jun Li, Dacheng Tao
2019 J jnl
Single-sample face recognition under varying lighting conditions based on logarithmic total variation.
Signal Image Video Process.
Yang Zhang, Xiaobo Lu, Jun Li
2018 — conf
A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions.
Australasian Conference on Artificial Intelligence
Ancheng Lin, Jun Li, Lujuan Zhang, Lei Shi, Zhenyuan Ma
2018 — conf
Discovering Granger-Causal Features from Deep Learning Networks.
Australasian Conference on Artificial Intelligence
Aneesh Sreevallabh Chivukula, Jun Li, Wei Liu
2018 B conf
GAN2C: Information Completion GAN with Dual Consistency Constraints.
IJCNN
Lujuan Zhang, Jun Li, Tao Huang, Zhenyuan Ma, Zhiyong Lin, Mukesh Prasad
2018 — conf
Multiple-Task Learning and Knowledge Transfer Using Generative Adversarial Capsule Nets.
Australasian Conference on Artificial Intelligence
Ancheng Lin, Jun Li, Lujuan Zhang, Zhenyuan Ma, Weiqi Luo
2018 J jnl
On Learning and Learned Representation with Dynamic Routing in Capsule Networks.
CoRR
Ancheng Lin, Jun Li, Zhenyuan Ma
2018 — conf
Residual MeshNet: Learning to Deform Meshes for Single-View 3D Reconstruction.
3DV
Junyi Pan, Jun Li, Xiaoguang Han, Kui Jia
2018 J jnl
Shakeout: A New Approach to Regularized Deep Neural Network Training.
IEEE Trans. Pattern Anal. Mach. Intell.
Guoliang Kang, Jun Li, Dacheng Tao
2018 B conf
Utilizing Information from Task-Independent Aspects via GAN-Assisted Knowledge Transfer.
IJCNN
Lunkai Fu, Jun Li, Langxiong Zhou, Zhenyuan Ma, Shaopeng Liu, Zhiyong Lin, Mukesh Prasad
2017 J jnl
Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene.
IEEE Trans. Neural Networks Learn. Syst.
Jun Li, Xue Mei, Danil V. Prokhorov, Dacheng Tao
2017 J jnl
Dynamically Modulated Mask Sparse Tracking.
IEEE Trans. Cybern.
Zijing Chen, Xinge You, Boxuan Zhong, Jun Li, Dacheng Tao
2017 — conf
Generic Pixel Level Object Tracker Using Bi-Channel Fully Convolutional Network.
ICONIP (1)
Zijing Chen, Jun Li, Zhe Chen, Xinge You
2017 — conf
Learning to focus for object proposals.
SPAC
Zijing Chen, Xinhua You, Jun Li
2016 A* conf
ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering.
CVPR
Zhang Zhang, Kaiqi Huang, Tieniu Tan, Peipei Yang, Jun Li
2016 A* conf
Shakeout: A New Regularized Deep Neural Network Training Scheme.
AAAI
Guoliang Kang, Jun Li, Dacheng Tao
2015 J jnl
A Distributed Approach Toward Discriminative Distance Metric Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jun Li, Xun Lin, Xiaoguang Rui, Yong Rui, Dacheng Tao
2013 A* conf
A Bayesian Factorised Covariance Model for Image Analysis.
IJCAI
Jun Li, Dacheng Tao
2013 J jnl
A Bayesian Hierarchical Factorization Model for Vector Fields.
IEEE Trans. Image Process.
Jun Li, Dacheng Tao
2013 J jnl
Exponential Family Factors for Bayesian Factor Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Jun Li, Dacheng Tao
2013 J jnl
Learning colours from textures by sparse manifold embedding.
Signal Process.
Jun Li, Wei Bian, Dacheng Tao, Chengqi Zhang
2013 J jnl
Simple Exponential Family PCA.
IEEE Trans. Neural Networks Learn. Syst.
Jun Li, Dacheng Tao
2012 J jnl
A probabilistic model for image representation via multiple patterns.
Pattern Recognit.
Jun Li, Dacheng Tao, Xuelong Li
2012 J jnl
On Preserving Original Variables in Bayesian PCA With Application to Image Analysis.
IEEE Trans. Image Process.
Jun Li, Dacheng Tao
2012 — conf
Sampling Normal Distribution Restricted on Multiple Regions.
ICONIP (1)
Jun Li, Dacheng Tao
2012 J jnl
Segment-Based Features for Time Series Classification.
Comput. J.
Zhang Zhang, Jun Cheng, Jun Li, Wei Bian, Dacheng Tao
2011 — conf
A Probabilistic Model for Discovering High Level Brain Activities from fMRI.
ICONIP (1)
Jun Li, Dacheng Tao
2011 — conf
Learning Colours from Textures by Sparse Manifold Embedding.
Australasian Conference on Artificial Intelligence
Jun Li, Wei Bian, Dacheng Tao, Chengqi Zhang
2011 — conf
Wisdom of Crowds: Single Image Super-resolution from the Web.
ICDM Workshops
Jun Li, Dacheng Tao
2010 J jnl
An Exponential Family Extension to Principal Component Analysis.
Aust. J. Intell. Inf. Process. Syst.
Jun Li, Dacheng Tao
2010 C conf
Boosted Dynamic Cognitive Activity Recognition from Brain Images.
ICMLA
Jun Li, Dacheng Tao
2010 — conf
Feature Extraction for fMRI-Based Human Brain Activity Recognition.
MLMI
Wei Bian, Jun Li, Dacheng Tao
2010 A conf
Simple Exponential Family PCA.
AISTATS
Jun Li, Dacheng Tao
2009 — —
Data on manifolds : Reliable representations and visual computing application.
Jun Li
2009 J jnl
Finding representative landmarks of data on manifolds.
Pattern Recognit.
Jun Li, Pengwei Hao
2008 B conf
Hallucinating faces from thermal infrared images.
ICIP
Jun Li, Pengwei Hao, Chao Zhang, Mingsong Dou
2008 A conf
Reliable Representation of Data on Manifolds.
BMVC
Jun Li, Pengwei Hao
2008 A conf
Transferring Colours to Grayscale Images by Locally Linear Embedding.
BMVC
Jun Li, Pengwei Hao, Chao Zhang
2007 — conf
Converting Thermal Infrared Face Images into Normal Gray-Level Images.
ACCV (2)
Mingsong Dou, Chao Zhang, Pengwei Hao, Jun Li
2007 A* conf
Hierarchical Structuring of Data on Manifolds.
CVPR
Jun Li, Pengwei Hao