Pattern Recognition, Volume 139

Volume 139, July 2023

Face and biometrics

• 
  Araceli Morales, Antònia Alomar, Antonio R. Porras, Marius George Linguraru, Gemma Piella, Federico M. Sukno:
  BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs. 109367

Human movements and activities

• 
  Yu Cheng, Yihao Ai, Bo Wang, Xinchao Wang, Robby T. Tan:
  Bottom-up 2D pose estimation via dual anatomical centers for small-scale persons. 109403

Data science and big data

• 
  Haize Hu, Jianxun Liu, Xiangping Zhang, Mengge Fang:
  An Effective and Adaptable K-means Algorithm for Big Data Cluster Analysis. 109404

Clustering

• 
  Jia Zhao, Gang Wang, Jeng-Shyang Pan, Tanghuai Fan, Ivan Lee:
  Density peaks clustering algorithm based on fuzzy and weighted shared neighbor for uneven density datasets. 109406

Handwriting and document analysis

• 
  Souhail Bakkali, Zuheng Ming, Mickaël Coustaty, Marçal Rusiñol, Oriol Ramos Terrades:
  VLCDoC: Vision-Language contrastive pre-training model for cross-Modal document classification. 109419

Face and biometrics

• 
  Bin Li, Panpan Zhang, Jinye Peng, Hong Fu:
  Non-contact PPG signal and heart rate estimation with multi-hierarchical convolutional network. 109421

Human movements and activities

• 
  Chuanxu Wang, Jing Wang, Peng Liu:
  Complementary adversarial mechanisms for weakly-supervised temporal action localization. 109426

Machine learning

• 
  Bahareh Nikpour, Narges Armanfard:
  Spatio-temporal hard attention learning for skeleton-based activity recognition. 109428

Classifiers and classification

• 
  Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Tolga Tasdizen:
  Quantifying the preferential direction of the model gradient in adversarial training with projected gradient descent. 109430

Corrigendum

• 
  Xin Ning, Weijuan Tian, Zaiyang Yu, Weijun Li, Xiao Bai, Yuebao Wang:
  Corrigendum to' HCFNN: High-order coverage function neural network for image classification' Pattern Recognition. Volume 131(2022) 108873. 109433

Objects and image analysis

• 
  Hangyuan Lu, Yong Yang, Shuying Huang, Xiaolong Chen, Hongfu Su, Wei Tu:
  Intensity mixture and band-adaptive detail fusion for pansharpening. 109434

Machine learning

• 
  Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang, Bo An:
  Multi-agent dueling Q-learning with mean field and value decomposition. 109436

Objects and image analysis

• 
  Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian:
  Exploring the diversity and invariance in yourself for visual pre-training task. 109437

Machine learning

• 
  Libin Wang, Yulong Wang, Hao Deng, Hong Chen:
  Attention reweighted sparse subspace clustering. 109438

Objects and image analysis

• 
  Jianjia Zhang, Zhenxi Zhang, Lei Wang, Luping Zhou, Xiaocai Zhang, Mengting Liu, Weiwen Wu:
  Kernel-based feature aggregation framework in point cloud networks. 109439

Bio-medical patterns

• 
  Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
  Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization. 109440

Innovative Applications of Pattern Recognition

• 
  Yaxian Wang, Jun Liu, Jie Ma, Hongwei Zeng, Lingling Zhang, Junjun Li:
  Dynamic dual graph networks for textbook question answering. 109441

Face and biometrics

• 
  Weicong Su, Yali Wang, Kunchang Li, Peng Gao, Yu Qiao:
  Hybrid token transformer for deep face recognition. 109443

Objects and image analysis

• 
  Damian Krawczyk, Robert Sitnik:
  Segmentation of 3D Point Cloud Data Representing Full Human Body Geometry: A Review. 109444

Machine learning

• 
  Zhi Zhao, Ke Xu, Yanxin Ma, Jianwei Wan:
  A gradient optimization and manifold preserving based binary neural network for point cloud. 109445
• 
  Jing Yan, Wei Wei, Xinyao Guo, Chuangyin Dang, Jiye Liang:
  A bi-level metric learning framework via self-paced learning weighting. 109446

Kernel methods and manifold learning

• 
  Subhadip Boral, Mainak Sarkar, Ashish Ghosh:
  MEQA: Manifold embedding quality assessment via anisotropic scaling and Kolmogorov-Smirnov test. 109447

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

• 
  Zhenfei Luo, Yixiang Dong, Qinghua Zheng, Huan Liu, Minnan Luo:
  Dual-channel graph contrastive learning for self-supervised graph-level representation learning. 109448

Features

• 
  Ting Wu, Yihang Hao, Bo Yang, Lizhi Peng:
  ECM-EFS: An ensemble feature selection based on enhanced co-association matrix. 109449
• 
  Wanguang Yin, Zhengming Ma, Quanying Liu:
  Discriminative subspace learning via optimization on Riemannian manifold. 109450

Special Section on Practical Deep Learning in the Wild

• 
  Raja Sunkara, Tie Luo:
  YOGA: Deep object detection in the wild with lightweight feature learning and multiscale attention. 109451

Objects and image analysis

• 
  Qi Li, Weining Wang, Yuanyan Tang, Chengzhong Xu, Zhenan Sun:
  Semantic-based conditional generative adversarial hashing with pairwise labels. 109452

Human movements and activities

• 
  Sandeep Gupta, Carsten Maple, Bruno Crispo, Kiran B. Raja, Artsiom Yautsiukhin, Fabio Martinelli:
  A survey of human-computer interaction (HCI) & natural habits-based behavioural biometric modalities for user recognition schemes. 109453

Clustering

• 
  Mohammad Rezaei, Pasi Fränti:
  K-sets and k-swaps algorithms for clustering sets. 109454

Human movements and activities

• 
  Kumie Gedamu, Yanli Ji, Lingling Gao, Yang Yang, Heng Tao Shen:
  Relation-mining self-attention network for skeleton-based human action recognition. 109455

Classifiers and classification

• 
  Qian He, Fusheng Yu, Jiaqi Chang, Chenxi Ouyang:
  Fuzzy granular recurrence plot and quantification analysis: A novel method for classification. 109456

Objects and image analysis

• 
  Sathishkumar Moorthy, Young Hoon Joo:
  Adaptive spatial-temporal surrounding-aware correlation filter tracking via ensemble learning. 109457

Various applications

• 
  Changming Xiao, Qi Yang, Xiaoqiang Xu, Jianwei Zhang, Feng Zhou, Changshui Zhang:
  Where you edit is what you get: Text-guided image editing with region-based attention. 109458

Objects and image analysis

• 
  Yufei Zha, Fan Li, Peng Zhang, Wei Huang:
  Conditional invertible image re-scaling. 109459

Structural pattern recognition, network and graph methods

• 
  Xiaokang Wang, Shan Lu, Rui Zhou, Huiwen Wang:
  Skeleton estimation of directed acyclic graphs using partial least squares from correlated data. 109460

Objects and image analysis

• 
  Xavier Soria, Ángel D. Sappa, Patricio Humanante, Arash Akbarinia:
  Dense extreme inception network for edge detection. 109461

Special Section on Fine-grained object retrieval, matching and ranking

• 
  Zheng Zhang, Jianning Wang, Lei Zhu, Yadan Luo, Guangming Lu:
  Deep collaborative graph hashing for discriminative image retrieval. 109462

Machine learning

• 
  Jen-Tzung Chien, Su-Ting Chang:
  Bayesian asymmetric quantized neural networks. 109463

Objects and image analysis

• 
  Shengyin Sun, Jun Liu, Siyu Sun:
  Hyperspectral subpixel target detection based on interaction subspace model. 109464

Corrigendum

• 
  Zhihua Wang, Zhi-Ri Tang, Jianguo Zhang, Yuming Fang:
  Corrigendum to 'Toward a Blind Image Quality Evaluator in the Wild by Learning beyond Human Opinion Scores' Pattern Recognition. Volume 137 (2023) 109296. 109465

Special Section on Practical Deep Learning in the Wild

• 
  Xingxing Wei, Maoxun Yuan:
  Adversarial pan-sharpening attacks for object detection in remote sensing. 109466

Objects and image analysis

• 
  Cheng Chen, Bo Li:
  An Interpretable Channelwise Attention Mechanism based on Asymmetric and Skewed Gaussian Distribution. 109467

Machine learning

• 
  Qifan Liu, Wenming Cao, Zhihai He:
  Cycle optimization metric learning for few-shot classification. 109468

Clustering

• 
  Yimei Zheng, Caiyan Jia, Jian Yu, Xuanya Li:
  Deep embedded clustering with distribution consistency preservation for attributed networks. 109469
• 
  Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai:
  Strongly augmented contrastive clustering. 109470
• 
  David P. Hofmeyr:
  Incremental estimation of low-density separating hyperplanes for clustering large data sets. 109471

Features

• 
  Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li:
  Sparse feature selection via fast embedding spectral analysis. 109472

Classifiers and classification

• 
  He Kong, Limin Wang:
  Flexible model weighting for one-dependence estimators based on point-wise independence analysis. 109473

Machine learning

• 
  Qinwei Xu, Ruipeng Zhang, Ziqing Fan, Yanfeng Wang, Yiyan Wu, Ya Zhang:
  Fourier-based augmentation with applications to domain generalization. 109474

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

• 
  Dong Wook Shu, Youjin Kim, Junseok Kwon:
  Localized curvature-based combinatorial subgraph sampling for large-scale graphs. 109475

Machine learning

• 
  Long Xi, Wen Tang, Tao Ruan Wan:
  TreeNet: Structure preserving multi-class 3D point cloud completion. 109476

Face and biometrics

• 
  Xianxu Hou, Linlin Shen, Zhong Ming, Guoping Qiu:
  Deep generative image priors for semantic face manipulation. 109477

Kernel methods and manifold learning

• 
  Lang Yu, Shengjie Li, Siyi Liu:
  Fast support vector machine training via three-term conjugate-like SMO algorithm. 109478

Machine learning

• 
  Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang:
  A survey on machine learning from few samples. 109480
• 
  Fadi Dornaika, Danyang Sun, Karim Hammoudi, Jinan Charafeddine, Adnane Cabani, Chongsheng Zhang:
  Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity. 109481
• 
  Ibrahim F. Jasim Ghalyan:
  Capacitive empirical risk function-based bag-of-words and pattern classification processes. 109482

Data science and big data

• 
  Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou:
  Deep debiased contrastive hashing. 109483

Human movements and activities

• 
  Umar Asif, Deval Samirbhai Mehta, Stefan von Cavallar, Jianbin Tang, Stefan Harrer:
  DeepActsNet: A deep ensemble framework combining features from face, hands, and body for action recognition. 109484

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

• 
  Guolin Zhang, Zehui Hu, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu:
  Dynamic graph convolutional networks by semi-supervised contrastive learning. 109486

Machine learning

• 
  Xuezhi Xiang, Rokia Abdein, Ning Lv, Jie Yang:
  Self-supervised learning of scene flow with occlusion handling through feature masking. 109487

Objects and image analysis

• 
  Na Dong, Yongqiang Zhang, Mingli Ding, Yancheng Bai:
  Class-incremental object detection. 109488

Face and biometrics

• 
  Yuanyuan Liu, Jiyao Peng, Wei Dai, Jiabei Zeng, Shiguang Shan:
  Joint spatial and scale attention network for multi-view facial expression recognition. 109496

Objects and image analysis

• 
  Zhongwei Qiu, Kai Qiu, Jianlong Fu, Dongmei Fu:
  Weakly-supervised pre-training for 3D human pose estimation via perspective knowledge. 109497

Face and biometrics

• 
  Feng Wei, Song Wang, Jucheng Yang, Xiao Sun, Yuan Wang, Yarui Chen:
  A Composite Network Model for Face Super-Resolution with Multi-Order Head Attention Facial Priors. 109503

Data science and big data

• 
  Yongjing Hao, Jun Ma, Pengpeng Zhao, Guanfeng Liu, Xuefeng Xian, Lei Zhao, Victor S. Sheng:
  Multi-dimensional Graph Neural Network for Sequential Recommendation. 109504

Machine learning

• 
  Yupei Zhang, Yunan Xu, Shuangshuang Wei, Yifei Wang, Yuxin Li, Xuequn Shang:
  Doubly contrastive representation learning for federated image recognition. 109507

Classifiers and classification

• 
  Huihui Shao, Jing Bai, Rusong Wu, Jinzhe Jiang, Hongbo Liang:
  FGPNet: A weakly supervised fine-grained 3D point clouds classification network. 109509

Objects and image analysis

• 
  Tai An, Binjie Mao, Bin Xue, Chunlei Huo, Shiming Xiang, Chunhong Pan:
  Patch loss: A generic multi-scale perceptual loss for single image super-resolution. 109510
• 
  Xia Hua, Xiaopeng Cui, Xinghua Xu, Shaohua Qiu, Yingjie Liang, Xianqiang Bao, Zhong Li:
  Underwater object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy. 109511

Special Section on Practical Deep Learning in the Wild

• 
  Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia:
  Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks. 109512
• 
  Qi Wang, Yuling Zhong, Weidong Min, Haoyu Zhao, Di Gai, Qing Han:
  Dual similarity pre-training and domain difference encouragement learning for vehicle re-identification in the wild. 109513
• 
  Yan Liu, Kaihua Zhang, Yaqian Zhao, Hu Chen, Qingshan Liu:
  Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection. 109514

Machine learning

• 
  Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
  Elaborate multi-task subspace learning with discrete group constraint. 109515

Clustering

• 
  Xin Han, Ye Zhu, Kai Ming Ting, Gang Li:
  The impact of isolation kernel on agglomerative hierarchical clustering algorithms. 109517

Structural pattern recognition, network and graph methods

• 
  Xiaolong Fan, Maoguo Gong, Yue Wu:
  Markov clustering regularized multi-hop graph neural network. 109518

Bio-medical patterns

• 
  Yongheng Sun, Duwei Dai, Qianni Zhang, Yaqi Wang, Songhua Xu, Chunfeng Lian:
  MSCA-Net: Multi-scale contextual attention network for skin lesion segmentation. 109524
• 
  Xiao Yang, Xiaoming Xi, Kesong Wang, Liangyun Sun, Lingzhao Meng, Xiushan Nie, Lishan Qiao, Yilong Yin:
  Triple-attention interaction network for breast tumor classification based on multi-modality images. 109526