Pattern Recognition, Volume 146

Volume 146, February 2024

Structural pattern recognition, network and graph methods

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  Kallil M. C. Zielinski, Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno:
  A network classification method based on density time evolution patterns extracted from network automata. 109946

Special Section on Graph Machine Learning for Pattern Recognition on Complex Graphs

• 
  Yongbing Zhang, Shengxiang Gao, Yuxin Huang, Kaiwen Tan, Zhengtao Yu:
  A Cross-Lingual Summarization method based on cross-lingual Fact-relationship Graph Generation. 109952

Objects and image analysis

• 
  Zhile Chen, Yuhui Quan, Ruotao Xu, Lianwen Jin, Yong Xu:
  Enhancing texture representation with deep tracing pattern encoding. 109959

Features

• 
  Mingzhen Sun, Weining Wang, Xinxin Zhu, Jing Liu:
  Reparameterizing and dynamically quantizing image features for image generation. 109962

Objects and image analysis

• 
  Long Gao, Langkun Chen, Pan Liu, Yan Jiang, Yunsong Li, Jifeng Ning:
  Transformer-based visual object tracking via fine-coarse concatenated attention and cross concatenated MLP. 109964

Machine learning

• 
  Xinglong Sun, Haijiang Sun, Jianan Li:
  Updatable Siamese tracker with two-stage one-shot learning. 109965

Objects and image analysis

• 
  Yimin Xu, Mingbao Lin, Hong Yang, Fei Chao, Rongrong Ji:
  Shadow-aware dynamic convolution for shadow removal. 109969

Machine learning

• 
  Xiaogang Song, Hongjuan Li, Li Liang, Weiwei Shi, Guo Xie, Xiaofeng Lu, Xinhong Hei:
  TransBoNet: Learning camera localization with Transformer Bottleneck and Attention. 109975

Face and biometrics

• 
  Yunjia Sun, Jiabei Zeng, Shiguang Shan:
  Gaze estimation with semi-supervised eye landmark detection as an auxiliary task. 109980

Objects and image analysis

• 
  Mingyang Zhao, Xiaohong Jia, Lei Ma, Li-Ming Hu, Dong-Ming Yan:
  Coherent chord computation and cross ratio for accurate ellipse detection. 109983

Machine learning

• 
  Xuan Zhang, Yitian Xu, Xuhua Liu:
  Multiple instance learning from similarity-confidence bags. 109984

Classifiers and classification

• 
  Yu Zhang, Zhengjie Chen, Tianyu Xu, Junjie Zhao, Siya Mi, Xin Geng, Min-Ling Zhang:
  Temporal segment dropout for human action video recognition. 109985

Machine learning

• 
  Zhi Zhao, Yanxin Ma, Ke Xu, Jianwei Wan:
  Information geometry based extreme low-bit neural network for point cloud. 109986

Classifiers and classification

• 
  Huajun Wang, Yuanhai Shao:
  Fast generalized ramp loss support vector machine for pattern classification. 109987

Various applications

• 
  Sunwoo Kim, Youngjo Min, Younghun Jung, Seungryong Kim:
  Controllable Style Transfer via Test-time Training of Implicit Neural Representation. 109988

Handwriting and document analysis

• 
  Zongyuan Yang, Baolin Liu, Yongping Xiong, Guibin Wu:
  GDB: Gated Convolutions-based Document Binarization. 109989

Innovative Applications of Pattern Recognition

• 
  Jinbiao Du, Weiwei Fan, Chen Gong, Jun Liu, Feng Zhou:
  Aggregated-attention deformable convolutional network for few-shot SAR jamming recognition. 109990

Structural pattern recognition, network and graph methods

• 
  Feifei Wei, Kuizhi Mei:
  Towards self-explainable graph convolutional neural network with frequency adaptive inception. 109991

Machine learning

• 
  Shichen Zhang, Tianlei Wang, Jiuwen Cao, Wandong Zhang, Badong Chen:
  Matrix randomized autoencoder. 109992

Special Section on Practical Deep Learning in the Wild

• 
  Yutao Hu, Xin Huang, Xiaoyan Luo, Jungong Han, Xianbin Cao, Jun Zhang:
  Learning Foreground Information Bottleneck for few-shot semantic segmentation. 109993

Machine learning

• 
  Hanlin Mo, Guoying Zhao:
  RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network. 109994

Structural pattern recognition, network and graph methods

• 
  Hanrui Wu, Nuosi Li, Jia Zhang, Sentao Chen, Michael K. Ng, Jinyi Long:
  Collaborative contrastive learning for hypergraph node classification. 109995

Machine learning

• 
  Jikui Wang, Yiwen Wu, Bing Li, Zhenguo Yang, Feiping Nie:
  Fast anchor graph preserving projections. 109996
• 
  Jingzhong Li, Lin Yang, Yuxuan Chen, Yue Jin:
  MFAN: Mixing Feature Attention Network for trajectory prediction. 109997

Human movements and activities

• 
  Chunzhi Gu, Jun Yu, Chao Zhang:
  Learning disentangled representations for controllable human motion prediction. 109998

Classifiers and classification

• 
  Zhaoxu Ding, Guoqiang Zhong, Xianping Qin, Qingyang Li, Zhenlin Fan, Zhaoyang Deng, Xiao Ling, Wei Xiang:
  MF-Net: Multi-frequency intrusion detection network for Internet traffic data. 109999

Face and biometrics

• 
  Xiao Pan, Hao Luo, Weihua Chen, Fan Wang, Hao Li, Wei Jiang, Jianming Zhang, Jianyang Gu, Peike Li:
  Dynamic gradient reactivation for backward compatible person re-identification. 110000

Various applications

• 
  Jong Ju Jeon, Jun Young Park, Il Kyu Eom:
  Low-light image enhancement using gamma correction prior in mixed color spaces. 110001

Objects and image analysis

• 
  Sai Harsha Yelleni, Deepshikha Kumari, Srijith P. K, Krishna Mohan C:
  Monte Carlo DropBlock for modeling uncertainty in object detection. 110003
• 
  Fernando Azevedo Fardo, Paulo Sérgio Silva Rodrigues:
  A Sparse Local Binary Pattern extraction algorithm applied to event sensor data for object classification. 110004
• 
  Weimin Yuan, Cai Meng, Xiangzhi Bai:
  Weighted side-window based gradient guided image filtering. 110006
• 
  Hao Shan:
  CS-GAC: Compressively sensed geodesic active contours. 110007

Innovative Applications of Pattern Recognition

• 
  Kang Yin, Elissa Yanting Lim, Seong-Whan Lee:
  GITGAN: Generative inter-subject transfer for EEG motor imagery analysis. 110015

Machine learning

• 
  Xiaotong Yu, Shiding Sun, Yingjie Tian:
  Self-distillation and self-supervision for partial label learning. 110016

Objects and image analysis

• 
  Huu-Thanh Nguyen, Yu Cao, Chong-Wah Ngo, Wing-Kwong Chan:
  FoodMask: Real-time food instance counting, segmentation and recognition. 110017
• 
  Yixin Zhang, Maciej A. Mazurowski:
  Convolutional neural networks rarely learn shape for semantic segmentation. 110018
• 
  Zihao Dong, Sijie Niu, Xizhan Gao, Xiuli Shao:
  Coarse-to-fine online latent representations matching for one-stage domain adaptive semantic segmentation. 110019

Bio-medical patterns

• 
  Cheng Tang, Xinyi Zeng, Luping Zhou, Qizheng Zhou, Peng Wang, Xi Wu, Hongping Ren, Jiliu Zhou, Yan Wang:
  Semi-supervised medical image segmentation via hard positives oriented contrastive learning. 110020

Objects and image analysis

• 
  Yamin Cheng, Hancong Duan, Chen Wang, Zhijun Chen:
  Parallel disentangling network for human-object interaction detection. 110021
• 
  Xiaoyang Huo, Yunfei Zhang, Si Wu:
  Semi-supervised class-conditional image synthesis with Semantics-guided Adaptive Feature Transforms. 110022

Classifiers and classification

• 
  Jichang Li, Guanbin Li, Yizhou Yu:
  Inter-domain mixup for semi-supervised domain adaptation. 110023

Data science and big data

• 
  Hao Ming, Hu Yang:
  L₀ regularized logistic regression for large-scale data. 110024

Objects and image analysis

• 
  Zunjin Zhao, Hexiu Lin, Daming Shi, Guoqing Zhou:
  A non-regularization self-supervised Retinex approach to low-light image enhancement with parameterized illumination estimation. 110025

Classifiers and classification

• 
  Yan Huang, Zhang Zhang, Yan Huang, Qiang Wu, Han Huang, Yi Zhong, Liang Wang:
  Customized meta-dataset for automatic classifier accuracy evaluation. 110026

Clustering

• 
  Zenan Yang, Haipeng Niu, Xiaoxuan Wang, Liangxin Fan:
  A segmentation method based on the deep fuzzy segmentation model in combined with SCANDLE clustering. 110027

Various applications

• 
  Zheheng Jiang, Hossein Rahmani, Plamen Angelov, Ritesh Vyas, Huiyu Zhou, Sue Black, Bryan M. Williams:
  Deep orientated distance-transform network for geometric-aware centerline detection. 110028

Classifiers and classification

• 
  Jiajun Hu, Lei Qi, Jian Zhang, Yinghuan Shi:
  Domain generalization via Inter-domain Alignment and Intra-domain Expansion. 110029

Clustering

• 
  Nico Migenda, Ralf Möller, Wolfram Schenck:
  Adaptive local Principal Component Analysis improves the clustering of high-dimensional data. 110030
• 
  Yunxiao Zhao, Liang Bai:
  Contrastive clustering with a graph consistency constraint. 110032

Machine learning

• 
  Haotian Ni, Shilin Gu, Ruidong Fan, Chenping Hou:
  Feature incremental learning with causality. 110033
• 
  Kensuke Nakamura, Simon Korman, Byung-Woo Hong:
  Generative adversarial networks via a composite annealing of noise and diffusion. 110034

Innovative Applications of Pattern Recognition

• 
  Yue Wang, Minjie Liu, Yanli Ren, Xinpeng Zhang, Guorui Feng:
  Traffic sign attack via pinpoint region probability estimation network. 110035

Clustering

• 
  Yuan Ping, Huina Li, Bin Hao, Chun Guo, Baocang Wang:
  Beyond k-Means++: Towards better cluster exploration with geometrical information. 110036

Machine learning

• 
  Akinlolu Oluwabusayo Ojo, Nizar Bouguila:
  A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder. 110037
• 
  Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen:
  Efficient search of comprehensively robust neural architectures via multi-fidelity evaluation. 110038

Structural pattern recognition, network and graph methods

• 
  Shunxing Chen, Guobao Xiao, Ziwei Shi, Junwen Guo, Jiayi Ma:
  SSL-Net: Sparse semantic learning for identifying reliable correspondences. 110039

Classifiers and classification

• 
  Bingjie Gao, Qianli Zhou, Yong Deng:
  HIE-EDT: Hierarchical interval estimation-based evidential decision tree. 110040
• 
  Yang Xu, Shanshan Wu, Biqi Wang, Ming Yang, Zebin Wu, Yazhou Yao, Zhihui Wei:
  Two-stage fine-grained image classification model based on multi-granularity feature fusion. 110042

Objects and image analysis

• 
  Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yongqiang Xie, Zhongbo Li:
  Frequency-aware feature aggregation network with dual-task consistency for RGB-T salient object detection. 110043

Classifiers and classification

• 
  Xiangtong Du, Zhidong Liu, Zunlei Feng, Hai Deng:
  DataMap: Dataset transferability map for medical image classification. 110044

Objects and image analysis

• 
  Xuan Wang, Zhaojie Sun, Abdellah Chehri, Gwanggil Jeon, Yongchao Song:
  A Novel Attention-Driven Framework for Unsupervised Pedestrian Re-identification with Clustering Optimization. 110045

Classifiers and classification

• 
  Jiayin Sun, Qiulei Dong:
  Conditional feature generation for transductive open-set recognition via dual-space consistent sampling. 110046

Human movements and activities

• 
  Yinan Zhao, Qing Gao, Zhaojie Ju, Jian Zhou, Yulan Guo:
  Sharing-Net: Lightweight feedforward network for skeleton-based action recognition based on information sharing mechanism. 110050
• 
  Yu Mitsuzumi, Go Irie, Akisato Kimura, Atsushi Nakazawa:
  Phase Randomization: A data augmentation for domain adaptation in human action recognition. 110051

Machine learning

• 
  Min Wang, Ting Wen, Xiao-Yu Jiang, An-An Zhang:
  Open set transfer learning through distribution driven active learning. 110055
• 
  Jiankai Tu, Huan Liu, Chunguang Li:
  Weighted subspace anomaly detection in high-dimensional space. 110056
• 
  Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina:
  Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images. 110057

Objects and image analysis

• 
  Shishi Qiao, Ruiping Wang, Shiguang Shan, Xilin Chen:
  Hierarchical image-to-image translation with nested distributions modeling. 110058
• 
  Rui Chen, Yang Mu, Yan Zhang:
  High-order relational generative adversarial network for video super-resolution. 110059

Classifiers and classification

• 
  Yulin Zhang, Bo Ma, Meng Li, Ying Liu, Feng Chen, Junyu Hou:
  Pseudo-label estimation via unsupervised Identity Link Prediction for one-shot person Re-Identification. 110060

Objects and image analysis

• 
  Manli Tao, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
  Objformer: Boosting 3D object detection via instance-wise interaction. 110061

Clustering

• 
  Quan Wang, Fei Wang, Zhongheng Li, Zheng Wang, Feiping Nie:
  Coordinate Descent Optimized Trace Difference Model for Joint Clustering and Feature Extraction. 110062

Machine learning

• 
  Juntao Yang, Lijun Yang, Jinghui Zhang, Qiwen Liang, Wentong Wang, Dongming Tang, Tao Liu:
  GNaN: A natural neighbor search algorithm based on universal gravitation. 110063

Clustering

• 
  Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
  Deep image clustering with contrastive learning and multi-scale graph convolutional networks. 110065

Corrigendum

• 
  Zhizheng Liang, Lei Zhang:
  Erratum to 'L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions' [Pattern Recognition 141 (2023) 109609]. 110070

Objects and image analysis

• 
  Ping Li, Yu Zhang, Li Yuan, Huaxin Xiao, Binbin Lin, Xianghua Xu:
  Efficient Long-Short Temporal Attention network for unsupervised Video Object Segmentation. 110078