Junbiao Pang

According to our database, Junbiao Pang authored at least 47 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification.

Jiaqi Wu, Junbiao Pang, Baochang Zhang, Qingming Huang

CoRR, 2024

Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization.

Jiaxin Deng, Junbiao Pang, Baochang Zhang, Tian Wang

CoRR, 2024

Push Quantization-Aware Training Toward Full Precision Performances via Consistency Regularization.

Junbiao Pang, Tianyang Cai, Baochang Zhang, Jiaqi Wu, Ye Tao

CoRR, 2024

2023

Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression.

Jiaqi Wu, Junbiao Pang, Qingming Huang

CoRR, 2023

Modeling the Uncertainty with Maximum Discrepant Students for Semi-supervised 2D Pose Estimation.

Jiaqi Wu, Junbiao Pang, Qingming Huang

CoRR, 2023

2021

Pavement Crack Detection Using Multi-stage Structural Feature Extraction Model.

Lijuan Duan, Jun Zeng, Junbiao Pang, Junzhe Wang

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Unsupervised Pixel-level Crack Detection Based on Generative Adversarial Network.

Lijuan Duan, Huiling Geng, Junbiao Pang, Jun Zeng

Proceedings of the ICMSSP 2020: 5th International Conference on Multimedia Systems and Signal Processing, 2020

2019

Two Birds With One Stone: A Coupled Poisson Deconvolution for Detecting and Describing Topics From Multimodal Web Data.

Junbiao Pang, Fei Tao, Qingming Huang, Qi Tian, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., 2019

Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network.

Junbiao Pang, Jing Huang, Yong Du, Haitao Yu, Qingming Huang, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2019

Increasing Interpretation of Web Topic Detection via Prototype Learning From Sparse Poisson Deconvolution.

Junbiao Pang, Anjing Hu, Qingming Huang, Qi Tian, Baocai Yin

IEEE Trans. Cybern., 2019

Accelerating Topic Detection on Web for a Large-Scale Data Set via Stochastic Poisson Deconvolution.

Jinzhong Lin, Junbiao Pang, Li Su, Yugui Liu, Qingming Huang

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Fast and Accurately Measuring Crack Width via Cascade Principal Component Analysis.

Lijuan Duan, Huiling Geng, Jun Zeng, Junbiao Pang, Qingming Huang

Proceedings of the MMAsia '19: ACM Multimedia Asia, Beijing, China, December 16-18, 2019, 2019

2018

Discovering Fine-Grained Spatial Pattern From Taxi Trips: Where Point Process Meets Matrix Decomposition and Factorization.

Junbiao Pang, Jing Huang, Xue Yang, Zuyun Wang, Haitao Yu, Qingming Huang, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2018

A two-step approach to describing web topics via probable keywords and prototype images from background-removed similarities.

Junbiao Pang, Fei Tao, Liang Li, Qingming Huang, Baocai Yin, Qi Tian

Neurocomputing, 2018

2017

Justify role of Similarity Diffusion Process in cross-media topic ranking: an empirical evaluation.

Junbiao Pang, Jing Huang, Weigang Zhang, Qingming Huang, Baocai Yin

Multim. Tools Appl., 2017

Rotative maximal pattern: A local coloring descriptor for object classification and recognition.

Junbiao Pang, Jing Huang, Lei Qin, Weigang Zhang, Laiyun Qing, Qingming Huang, Baocai Yin

Inf. Sci., 2017

2016

Robust Latent Poisson Deconvolution From Multiple Features for Web Topic Detection.

Junbiao Pang, Fei Tao, Chunjie Zhang, Weigang Zhang, Qingming Huang, Baocai Yin

IEEE Trans. Multim., 2016

Online web video topic detection and tracking with semi-supervised learning.

Guorong Li, Shuqiang Jiang, Weigang Zhang, Junbiao Pang, Qingming Huang

Multim. Syst., 2016

Robust latent poisson deconvolution from multiple imperfect features for web topic detection.

Fei Tao, Junbiao Pang, Chunjie Zhang, Liang Li, Li Su, Weigang Zhang, Qingming Huang, Guiping Su

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Accelerate convolutional neural networks for binary classification via cascading cost-sensitive feature.

Junbiao Pang, Huihuang Lin, Li Su, Chunjie Zhang, Weigang Zhang, Lijuan Duan, Qingming Huang, Baocai Yin

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Webpage saliency prediction with multi-features fusion.

Jian Li, Li Su, Bo Wu, Junbiao Pang, Chunfeng Wang, Zhe Wu, Qingming Huang

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades.

Junbiao Pang, Fei Jia, Chunjie Zhang, Weigang Zhang, Qingming Huang, Baocai Yin

IEEE Trans. Multim., 2015

Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks.

Chunjie Zhang, Jian Cheng, Jing Liu, Junbiao Pang, Qingming Huang, Qi Tian

IEEE Trans. Image Process., 2015

Local Laplacian Coding From Theoretical Analysis of Local Coding Schemes for Locally Linear Classification.

Junbiao Pang, Lei Qin, Chunjie Zhang, Weigang Zhang, Qingming Huang, Baocai Yin

IEEE Trans. Cybern., 2015

Image classification using boosted local features with random orientation and location selection.

Chunjie Zhang, Jian Cheng, Yifan Zhang, Jing Liu, Chao Liang, Junbiao Pang, Qingming Huang, Qi Tian

Inf. Sci., 2015

Fusing cross-media for topic detection by dense keyword groups.

Weigang Zhang, Tianlong Chen, Guorong Li, Junbiao Pang, Qingming Huang, Wen Gao

Neurocomputing, 2015

Online dictionary learning for Local Coordinate Coding with Locality Coding Adaptors.

Junbiao Pang, Chunjie Zhang, Lei Qin, Weigang Zhang, Laiyun Qing, Qingming Huang, Baocai Yin

Neurocomputing, 2015

Set-label modeling and deep metric learning on person re-identification.

Hao Liu, Bingpeng Ma, Lei Qin, Junbiao Pang, Chunjie Zhang, Qingming Huang

Neurocomputing, 2015

2014

Undoing the codebook bias by linear transformation with sparsity and F-norm constraints for image classification.

Chunjie Zhang, Chao Liang, Junbiao Pang, Yifan Zhang, Jing Liu, Lei Qin, Qingming Huang

Pattern Recognit. Lett., 2014

Beyond visual word ambiguity: Weighted local feature encoding with governing region.

Chunjie Zhang, Xian Xiao, Junbiao Pang, Chao Liang, Yifan Zhang, Qingming Huang

J. Vis. Commun. Image Represent., 2014

Object categorization in sub-semantic space.

Chunjie Zhang, Jian Cheng, Jing Liu, Junbiao Pang, Chao Liang, Qingming Huang, Qi Tian

Neurocomputing, 2014

Topic detection in cross-media: a semi-supervised co-clustering approach.

Zhe Xue, Guorong Li, Weigang Zhang, Junbiao Pang, Qingming Huang

Int. J. Multim. Inf. Retr., 2014

Image classification by non-negative sparse coding, correlation constrained low-rank and sparse decomposition.

Chunjie Zhang, Jing Liu, Chao Liang, Zhe Xue, Junbiao Pang, Qingming Huang

Comput. Vis. Image Underst., 2014

Web topic detection using a ranked clustering-like pattern across similarity cascades.

Fei Jia, Junbiao Pang, Weigang Zhang, Guorong Li, Chunjie Zhang, Qingming Huang, Yugui Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Nonlinear learning using LCC for online visual tracking.

Hongwei Hu, Bo Ma, Tao Xu, Junbiao Pang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

2013

Undo the codebook bias by linear transformation for visual applications.

Chunjie Zhang, Yifan Zhang, Shuhui Wang, Junbiao Pang, Chao Liang, Qingming Huang, Qi Tian

Proceedings of the ACM Multimedia Conference, 2013

Stochastic boosting for large-scale image classification.

Junbiao Pang, Qingming Huang, Baocai Yin, Lei Qin, Dan Wang

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Online selection of the best k-feature subset for object tracking.

Guorong Li, Qingming Huang, Junbiao Pang, Shuqiang Jiang, Lei Qin

J. Vis. Commun. Image Represent., 2012

Color Maximal-Dissimilarity Pattern for pedestrian detection.

Qingyuan Wang, Junbiao Pang, Guoyi Liu, Lei Qin, Qingming Huang, Shuqiang Jiang

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Theoretical analysis of learning local anchors for classification.

Junbiao Pang, Qingming Huang, Baocai Yin, Lei Qin, Dan Wang

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Interactive event detection in crowd scenes.

Lei Qin, Zhongwei Cheng, Qingming Huang, Junbiao Pang

Proceedings of the 4th International Conference on Internet Multimedia Computing and Service, 2012

2011

Transferring Boosted Detectors Towards Viewpoint and Scene Adaptiveness.

Junbiao Pang, Qingming Huang, Shuicheng Yan, Shuqiang Jiang, Lei Qin

IEEE Trans. Image Process., 2011

Treat samples differently: Object tracking with semi-supervised online CovBoost.

Guorong Li, Lei Qin, Qingming Huang, Junbiao Pang, Shuqiang Jiang

Proceedings of the IEEE International Conference on Computer Vision, 2011

2009

Transfer pedestrian detector towards view-adaptiveness and efficiency.

Junbiao Pang, Qingming Huang, Shuqiang Jiang, Zhipeng Wu

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008

Pedestrian detection via logistic multiple instance boosting.

Junbiao Pang, Qingming Huang, Shuqiang Jiang, Wen Gao

Proceedings of the International Conference on Image Processing, 2008

Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection.

Junbiao Pang, Qingming Huang, Shuqiang Jiang

Proceedings of the Computer Vision, 2008

2007

Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model.

Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqiang Jiang, Wen Gao

Proceedings of the International Conference on Image Processing, 2007