Shanmin Pang

According to our database, Shanmin Pang authored at least 52 papers between 2012 and 2024.

Collaborative distances:

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

2024

Physically Driven Self-Supervised Learning and its Applications in Geophysical Inversion.

Yang Yang, Zhuo Wang, Naihao Liu, Jingyu Wang, Shanmin Pang, Rongchang Liu, Jinghuai Gao

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Tensor-Based Incomplete Multi-View Clustering With Low-Rank Data Reconstruction and Consistency Guidance.

Wenyu Hao, Shanmin Pang, Xiuxiu Bai, Jianru Xue

IEEE Trans. Circuits Syst. Video Technol., December, 2023

Feature fine-tuning and attribute representation transformation for zero-shot learning.

Shanmin Pang, Xin He, Wenyu Hao, Yang Long

Comput. Vis. Image Underst., November, 2023

Hierarchical block aggregation network for long-tailed visual recognition.

Shanmin Pang, Wei Wang, Renzhong Zhang, Wenyu Hao

Neurocomputing, September, 2023

2022

An Unsupervised Monocular Visual Odometry Based on Multi-Scale Modeling.

Henghui Zhi, Chenyang Yin, Huibin Li, Shanmin Pang

Sensors, 2022

Sparse Semantic Map-Based Monocular Localization in Traffic Scenes Using Learned 2D-3D Point-Line Correspondences.

Xingyu Chen, Jianru Xue, Shanmin Pang

IEEE Robotics Autom. Lett., 2022

Tensor-based multi-view clustering with consistency exploration and diversity regularization.

Wenyu Hao, Shanmin Pang, Bo Yang, Jianru Xue

Knowl. Based Syst., 2022

2021

Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction.

Bo Yang, Yupei Zhang, Shanmin Pang, Xuequn Shang, Xueqing Zhao, Minghui Han

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Multi-view spectral clustering via common structure maximization of local and global representations.

Wenyu Hao, Shanmin Pang, Zhikai Chen

Neural Networks, 2021

Deep Subspace Mutual Learning for cancer subtypes prediction.

Bo Yang, Tingting Xin, Shanmin Pang, Meng Wang, Yi-Jie Wang

Bioinform., 2021

Appending Adversarial Frames for Universal Video Attack.

Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Qi Tian

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes.

Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Registration of Multi-View Point Sets Under the Perspective of Expectation-Maximization.

Jihua Zhu, Rui Guo, Zhongyu Li, Jing Zhang, Shanmin Pang

IEEE Trans. Image Process., 2020

Self-Weighting and Hypergraph Regularization for Multi-view Spectral Clustering.

Wenyu Hao, Shanmin Pang, Jihua Zhu, Yaochen Li

IEEE Signal Process. Lett., 2020

Unsupervised semantic-based convolutional features aggregation for image retrieval.

Xinsheng Wang, Shanmin Pang, Jihua Zhu, Jiaxing Wang, Lin Wang

Multim. Tools Appl., 2020

Simultaneously merging multi-robot grid maps at different resolutions.

Zutao Jiang, Jihua Zhu, Congcong Jin, Siyu Xu, Yiqiong Zhou, Shanmin Pang

Multim. Tools Appl., 2020

Constrained bilinear factorization multi-view subspace clustering.

Qinghai Zheng, Jihua Zhu, Zhiqiang Tian, Zhongyu Li, Shanmin Pang, Xiuyi Jia

Knowl. Based Syst., 2020

Feature concatenation multi-view subspace clustering.

Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang, Yaochen Li

Neurocomputing, 2020

Consistent and Complementary Graph Regularized Multi-view Subspace Clustering.

Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang, Lei Chen

CoRR, 2020

Domain segmentation and adjustment for generalized zero-shot learning.

Xinsheng Wang, Shanmin Pang, Jihua Zhu

CoRR, 2020

Hierarchical Gated Deep Memory Network With Position-Aware for Aspect-Based Sentiment Analysis.

Zebing Jia, Xiuxiu Bai, Shanmin Pang

IEEE Access, 2020

Spatial-Content Image Search in Complex Scenes.

Jin Ma, Shanmin Pang, Bo Yang, Jihua Zhu, Yaochen Li

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Look, Listen and Infer.

Ruijian Jia, Xinsheng Wang, Shanmin Pang, Jihua Zhu, Jianru Xue

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Meta Generalized Network for Few-Shot Classification.

Wei Wu, Shanmin Pang, Zhiqiang Tian, Yaochen Li

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Label Enhancement with Sample Correlations via Low-Rank Representation.

Haoyu Tang, Jihua Zhu, Qinghai Zheng, Jun Wang, Shanmin Pang, Zhongyu Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improving Object Retrieval Quality by Integration of Similarity Propagation and Query Expansion.

Shanmin Pang, Jin Ma, Jihua Zhu, Jianru Xue, Qi Tian

IEEE Trans. Multim., 2019

Deep Feature Aggregation and Image Re-Ranking With Heat Diffusion for Image Retrieval.

Shanmin Pang, Jin Ma, Jianru Xue, Jihua Zhu, Vicente Ordonez

IEEE Trans. Multim., 2019

Unifying Sum and Weighted Aggregations for Efficient Yet Effective Image Representation Computation.

Shanmin Pang, Jianru Xue, Jihua Zhu, Li Zhu, Qi Tian

IEEE Trans. Image Process., 2019

Co-weighting semantic convolutional features for object retrieval.

Jihua Zhu, Jiaxing Wang, Shanmin Pang, Weili Guan, Zhongyu Li, Yaochen Li, Xueming Qian

J. Vis. Commun. Image Represent., 2019

Efficient registration of multi-view point sets by K-means clustering.

Jihua Zhu, Zutao Jiang, Georgios D. Evangelidis, Changqing Zhang, Shanmin Pang, Zhongyu Li

Inf. Sci., 2019

Multi-view registration based on weighted LRS matrix decomposition of motions.

Congcong Jin, Jihua Zhu, Yaochen Li, Shanmin Pang, Lei Chen, Jun Wang

IET Comput. Vis., 2019

Visual Space Optimization for Zero-shot Learning.

Xinsheng Wang, Shanmin Pang, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Yaochen Li

CoRR, 2019

Feature Concatenation Multi-view Subspace Clustering.

Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang

CoRR, 2019

Fast Two-Cycle Level Set Tracking With Interactive Superpixel Segmentation and Its Application in Image Retrieval.

Yaochen Li, Huayun Pan, Xiao Wu, Yuehu Liu, Shanmin Pang, Li Zhu

IEEE Access, 2019

Jointly Detecting and Retrieving Vehicles from Road Image Sequences based on CNN.

Xiao Wu, Yaochen Li, Yuehu Liu, Shanmin Pang, Le Wang, Chuan Wu, Huihui Huo

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

Large-scale vocabularies with local graph diffusion and mode seeking.

Shanmin Pang, Jianru Xue, Zhanning Gao, Lihong Zheng, Li Zhu

Signal Process. Image Commun., 2018

Building discriminative CNN image representations for object retrieval using the replicator equation.

Shanmin Pang, Jihua Zhu, Jiaxing Wang, Vicente Ordonez, Jianru Xue

Pattern Recognit., 2018

Deep Feature Aggregation with Heat Diffusion for Image Retrieval.

Shanmin Pang, Jin Ma, Jianru Xue, Jihua Zhu, Vicente Ordonez

CoRR, 2018

Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors.

Jihua Zhu, Siyu Xu, Zutao Jiang, Shanmin Pang, Jun Wang, Zhongyu Li

CoRR, 2018

Adaptive Co-Weighting Deep Convolutional Features for Object Retrieval.

Jiaxing Wang, Jihua Zhu, Shanmin Pang, Zhongyu Li, Yaochen Li, Xueming Qian

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Deep Subspace Similarity Fusion for the Prediction of Cancer Subtypes.

Bo Yang, Shuhui Liu, Shanmin Pang, Chenpai Pang, Xuequn Shang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Isometric hashing for image retrieval.

Bo Yang, Xuequn Shang, Shanmin Pang

Signal Process. Image Commun., 2017

K-means clustering for efficient and robust registration of multi-view point sets.

Zutao Jiang, Jihua Zhu, Shanmin Pang, Yaochen Li, Jun Wang

CoRR, 2017

Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions.

Congcong Jin, Jihua Zhu, Yaochen Li, Shanmin Pang, Lei Chen, Jun Wang

CoRR, 2017

Beyond Sum and Weighted Aggregation: An Efficient Mixed Aggregation Method with Multiple Weights for Image Search.

Shanmin Pang, Wei Zhang, Li Zhu, Jihua Zhu, Jianru Xue

Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

2016

Democratic Diffusion Aggregation for Image Retrieval.

Zhanning Gao, Jianru Xue, Wengang Zhou, Shanmin Pang, Qi Tian

IEEE Trans. Multim., 2016

Multiple Cartesian K-Medoids for a Fine Quantization.

Lihua Tian, Shanmin Pang, Chen Li

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015

Image re-ranking with an alternating optimization.

Shanmin Pang, Jianru Xue, Zhanning Gao, Qi Tian

Neurocomputing, 2015

Fast Democratic Aggregation and Query Fusion for Image Search.

Zhanning Gao, Jianru Xue, Wengang Zhou, Shanmin Pang, Qi Tian

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

2014

Exploiting local linear geometric structure for identifying correct matches.

Shanmin Pang, Jianru Xue, Qi Tian, Nanning Zheng

Comput. Vis. Image Underst., 2014

2013

Locality preserving verification for image search.

Shanmin Pang, Jianru Xue, Nanning Zheng, Qi Tian

Proceedings of the ACM Multimedia Conference, 2013

2012

Large-Scale Bundle Adjustment by Parameter Vector Partition.

Shanmin Pang, Jianru Xue, Le Wang, Nanning Zheng

Proceedings of the Computer Vision, 2012