Pattern Recognition, Volume 122

Volume 122, February 2022

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  Chengchao Bai, Peng Yan, Xiaoqiang Yu, Jifeng Guo:
  Learning-based resilience guarantee for multi-UAV collaborative QoS management. 108166

Regular papers

• 
  Hongjun Li, Ze Zhou, Chaobo Li, Ching Y. Suen:
  A near effective and efficient model in recognition. 108173

Various applications

• 
  Xuan Li, Haibin Duan, Jingchun Li, Yimin Deng, Fei-Yue Wang:
  Biological eagle eye-based method for change detection in water scenes. 108203
• 
  Tao Yin, Chenzhengyi Liu, Fangyu Ding, Ziming Feng, Bo Yuan, Ning Zhang:
  Graph-based stock correlation and prediction for high-frequency trading systems. 108209

Regular papers

• 
  Yunpeng Chang, Zhigang Tu, Wei Xie, Bin Luo, Shifu Zhang, Haigang Sui, Junsong Yuan:
  Video anomaly detection with spatio-temporal dissociation. 108213

Handwriting and document analysis

• 
  Jiajia Wu, Jun Du, Fengren Wang, Chen Yang, Xinzhe Jiang, Jinshui Hu, Bing Yin, Jianshu Zhang, Lirong Dai:
  A multimodal attention fusion network with a dynamic vocabulary for TextVQA. 108214

Machine learning

• 
  Li Zhang, Xiangqian Wu:
  Multi-task framework based on feature separation and reconstruction for cross-modal retrieval. 108217

Structural pattern recognition, network and graph methods

• 
  Jing Yang, Xu Yang, Zhangbing Zhou, Zhiyong Liu:
  Graph matching based on fast normalized cut and multiplicative update mapping. 108228

Regular papers

• 
  Chun Wang, Shirui Pan, Celina Ping Yu, Ruiqi Hu, Guodong Long, Chengqi Zhang:
  Deep neighbor-aware embedding for node clustering in attributed graphs. 108230
• 
  Wei Gao, Fang Wan, Jun Yue, Songcen Xu, Qixiang Ye:
  Discrepant multiple instance learning for weakly supervised object detection. 108233

Structural pattern recognition, network and graph methods

• 
  Satyajit Neogi, Justin Dauwels:
  Factored Latent-Dynamic Conditional Random Fields for single and multi-label sequence modeling. 108236

Regular papers

• 
  Yang Liu, Xinbo Gao, Jungong Han, Li Liu, Ling Shao:
  Zero-shot learning via a specific rank-controlled semantic autoencoder. 108237
• 
  Tao Chu, Wenjie Cai, Qiong Liu:
  Learning panoptic segmentation through feature discriminability. 108240
• 
  WonSeok Yang, Woochul Nam:
  Data synthesis method preserving correlation of features. 108241

Special Section on AI for Combating COVID-2019

• 
  Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal:
  Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images. 108243

Regular papers

• 
  Gulcin Baykal, Furkan Ozcelik, Gozde Unal:
  Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks. 108244
• 
  Samet Akcay, Toby P. Breckon:
  Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging. 108245
• 
  Tasfia Shermin, Shyh Wei Teng, Ferdous Sohel, M. Manzur Murshed, Guojun Lu:
  Integrated generalized zero-shot learning for fine-grained classification. 108246
• 
  Tao Dai, Yan Feng, Bin Chen, Jian Lu, Shu-Tao Xia:
  Deep image prior based defense against adversarial examples. 108249
• 
  Feng Chen, Fei Wu, Guangwei Gao, Yimu Ji, Jing Xu, Guo-Ping Jiang, Xiao-Yuan Jing:
  JSPNet: Learning joint semantic & instance segmentation of point clouds via feature self-similarity and cross-task probability. 108250
• 
  Mehdi Hasaninasab, Mohammad Khansari:
  Efficient COVID-19 testing via contextual model based compressive sensing. 108253

Special Section on AI for Combating COVID-2019

• 
  Aayush Kumar, Ayush R. Tripathi, Suresh Chandra Satapathy, Yu-Dong Zhang:
  SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network. 108255

Regular papers

• 
  Shuyu Miao, Shanshan Du, Rui Feng, Yuejie Zhang, Huayu Li, Tianbi Liu, Lin Zheng, Weiguo Fan:
  Balanced single-shot object detection using cross-context attention-guided network. 108258
• 
  Yang Yang, Bo Chen, Hongwei Liu:
  Bayesian compression for dynamically expandable networks. 108260
• 
  Fangtao Shao, Jing Liu, Peng Wu, Zhiwei Yang, Zhaoyang Wu:
  Exploiting foreground and background separation for prohibited item detection in overlapping X-Ray images. 108261
• 
  Yu-Wei Zhan, Yongxin Wang, Yu Sun, Xiao-Ming Wu, Xin Luo, Xin-Shun Xu:
  Discrete online cross-modal hashing. 108262
• 
  Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick:
  Deep and interpretable regression models for ordinal outcomes. 108263

Special Section on Machine Learning for Combinatorial Optimization and Its Applications

• 
  Chaoyou Fu, Guoli Wang, Xiang Wu, Qian Zhang, Ran He:
  Deep momentum uncertainty hashing. 108264

Special Section on Conformal and Probabilistic Prediction with Applications

• 
  Lysimachos Maltoudoglou, Andreas Paisios, Ladislav Lenc, Jirí Martínek, Pavel Král, Harris Papadopoulos:
  Well-calibrated confidence measures for multi-label text classification with a large number of labels. 108271

Machine learning

• 
  Paraskevi Chasani, Aristidis Likas:
  The UU-test for statistical modeling of unimodal data. 108272

Classifiers and classification

• 
  G. M. Mashrur E Elahi, Yee-Hong Yang:
  Online learnable keyframe extraction in videos and its application with semantic word vector in action recognition. 108273

Special Section on AI for Combating COVID-2019

• 
  Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis:
  GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays. 108274

Regular papers

• 
  Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang:
  Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition. 108275
• 
  Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Asit Kumar Das, Rammohan Mallipeddi:
  A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers. 108279
• 
  Wei He, Yong Chen, Naoto Yokoya, Chao Li, Qibin Zhao:
  Hyperspectral super-resolution via coupled tensor ring factorization. 108280

Machine learning

• 
  Woon Huei Chai, Shen-Shyang Ho, Hiok Chai Quek:
  A Novel Quasi-Newton Method for Composite Convex Minimization. 108281

Regular papers

• 
  Sravani Yenduri, Nazil Perveen, Vishnu Chalavadi, Krishna Mohan C:
  Fine-grained action recognition using dynamic kernels. 108282
• 
  Aythami Morales, Julian Fiérrez, Alejandro Acien, Ruben Tolosana, Ignacio Serna:
  SetMargin loss applied to deep keystroke biometrics with circle packing interpretation. 108283
• 
  Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
  Context extraction module for deep convolutional neural networks. 108284

Various applications

• 
  Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
  Protect, show, attend and tell: Empowering image captioning models with ownership protection. 108285

Regular papers

• 
  Junliu Zhong, Yanfen Gan, Chi-Man Vong, Ji-Xiang Yang, Jing-Hong Zhao, Jiahua Luo:
  Effective and efficient pixel-level detection for diverse video copy-move forgery types. 108286

Clustering

• 
  Sridhar Raj S, Munaga V. N. K. Prasad, Ramadoss Balakrishnan:
  Spatio-Temporal association rule based deep annotation-free clustering (STAR-DAC) for unsupervised person re-identification. 108287

Regular papers

• 
  Mohsine Elkhayati, Youssfi Elkettani, Mohammed Mourchid:
  Segmentation of Handwritten Arabic Graphemes Using a Directed Convolutional Neural Network and Mathematical Morphology Operations. 108288

Special Section on AI for Combating COVID-2019

• 
  Gauri Deshpande, Anton Batliner, Björn W. Schuller:
  AI-Based human audio processing for COVID-19: A comprehensive overview. 108289

Special Section on Meta-learning for Image/Video Segmentation

• 
  Quan Zhou, Xiaofu Wu, Suofei Zhang, Bin Kang, Zongyuan Ge, Longin Jan Latecki:
  Contextual ensemble network for semantic segmentation. 108290

Regular papers

• 
  Yangdong Chen, Zhaolong Zhang, Yanfei Wang, Yuejie Zhang, Rui Feng, Tao Zhang, Weiguo Fan:
  AE-Net: Fine-grained sketch-based image retrieval via attention-enhanced network. 108291
• 
  Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
  Generalizable model-agnostic semantic segmentation via target-specific normalization. 108292

Objects and image analysis

• 
  Xiaobin Liu, Shiliang Zhang:
  Who is closer: A computational method for domain gap evaluation. 108293

Classifiers and classification

• 
  Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas:
  Multi-label sampling based on local label imbalance. 108294

Regular papers

• 
  Yang Yang, Junwei Han, Dingwen Zhang, Qi Tian:
  Exploring rich intermediate representations for reconstructing 3D shapes from 2D images. 108295

Special Section on Machine Learning for Combinatorial Optimization and Its Applications

• 
  Yawen Cui, Qing Liao, Dewen Hu, Wei An, Li Liu:
  Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification. 108296

Regular papers

• 
  Jinyan Ma, Jing Li, Bo Du, Jia Wu, Jun Wan, Yafu Xiao:
  Robust face alignment by dual-attentional spatial-aware capsule networks. 108297

Clustering

• 
  Junpeng Tan, Zhijing Yang, Jinchang Ren, Bing Wang, Yongqiang Cheng, Wing-Kuen Ling:
  A Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold Learning. 108298

Regular papers

• 
  Jianyu Miao, Tiejun Yang, Lijun Sun, Xuan Fei, Lingfeng Niu, Yong Shi:
  Graph regularized locally linear embedding for unsupervised feature selection. 108299
• 
  Bingqian Lin, Yi Zhu, Xiaodan Liang:
  Atom correlation based graph propagation for scene graph generation. 108300

Classifiers and classification

• 
  Chandan Biswas, Debasis Ganguly, Partha Sarathi Mukherjee, Ujjwal Bhattacharya, Yufang Hou:
  Privacy-aware supervised classification: An informative subspace based multi-objective approach. 108301

Machine learning

• 
  Sungho Suh, Paul Lukowicz, Yong Oh Lee:
  Discriminative feature generation for classification of imbalanced data. 108302

Regular papers

• 
  Keji Han, Bin Xia, Yun Li:
  (AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal. 108303
• 
  Zhengping Hu, Zijun Li, Xueyu Wang, Saiyue Zheng:
  Unsupervised descriptor selection based meta-learning networks for few-shot classification. 108304

Clustering

• 
  Atiq ur Rehman, Samir Brahim Belhaouari:
  Divide well to merge better: A novel clustering algorithm. 108305

Machine learning

• 
  Antonio Emanuele Cinà, Alessandro Torcinovich, Marcello Pelillo:
  A black-box adversarial attack for poisoning clustering. 108306

Features

• 
  Dalwinder Singh, Birmohan Singh:
  Feature wise normalization: An effective way of normalizing data. 108307

Special Section on Masked Face Recognition and Touchless Biometrics at the time of COVID-19

• 
  Govind Jeevan, Geevar C. Zacharias, Madhu S. Nair, Jeny Rajan:
  An empirical study of the impact of masks on face recognition. 108308

Bio-medical patterns

• 
  Mundher Al-Shabi, Kelvin Shak, Maxine Tan:
  ProCAN: Progressive growing channel attentive non-local network for lung nodule classification. 108309

Classifiers and classification

• 
  Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
  Unimodal regularisation based on beta distribution for deep ordinal regression. 108310

Regular papers

• 
  Ming Yang, Qilun Luo, Wen Li, Mingqing Xiao:
  Nonconvex 3D array image data recovery and pattern recognition under tensor framework. 108311
• 
  Wencheng Zhu, Jiwen Lu, Yucheng Han, Jie Zhou:
  Learning multiscale hierarchical attention for video summarization. 108312
• 
  Wei Shi, Hong Liu, Mengyuan Liu:
  Image-to-video person re-identification using three-dimensional semantic appearance alignment and cross-modal interactive learning. 108314
• 
  Qifeng Lin, Chengjiang Long, Jianhui Zhao, Gang Fu, Zhiyong Yuan:
  DDBN: Dual detection branch network for semantic diversity predictions. 108315
• 
  Cheng Shi, Li Fang, Zhiyong Lv, Minghua Zhao:
  Explainable scale distillation for hyperspectral image classification. 108316

Various applications

• 
  Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang, Fayao Liu:
  Feature flow: In-network feature flow estimation for video object detection. 108323

Regular papers

• 
  Qun Jiang, Yunfeng Zhang, Fangxun Bao, Xiuyang Zhao, Caiming Zhang, Peide Liu:
  Two-step domain adaptation for underwater image enhancement. 108324

Special Section on Masked Face Recognition and Touchless Biometrics at the time of COVID-19

• 
  Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai, Weiqin Tong:
  Reasoning structural relation for occlusion-robust facial landmark localization. 108325

Regular papers

• 
  Xiumei Wang, Dingning Guo, Peitao Cheng:
  Support structure representation learning for sequential data clustering. 108326

Classifiers and classification

• 
  Jiawang Bai, Yiming Li, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia:
  Multinomial random forest. 108331

Regular papers

• 
  Kuangen Zhang, Jiahong Chen, Jing Wang, Yuquan Leng, Clarence W. de Silva, Chenglong Fu:
  Gaussian-guided feature alignment for unsupervised cross-subject adaptation. 108332
• 
  Sen Zhai, Chao Ren, Zhengyong Wang, Xiaohai He, Linbo Qing:
  An effective deep network using target vector update modules for image restoration. 108333

Clustering

• 
  Lin Guo, Qun Dai:
  Graph Clustering via Variational Graph Embedding. 108334

Machine learning

• 
  Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Zhenwen Ren:
  Neighborhood preserving embedding on Grassmann manifold for image-set analysis. 108335

Regular papers

• 
  Yuanhong Zhong, Xia Chen, Jinyang Jiang, Fan Ren:
  A cascade reconstruction model with generalization ability evaluation for anomaly detection in videos. 108336
• 
  Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong:
  Kernelized support tensor train machines. 108337
• 
  Saikat Sarkar, Dipti Prasad Mukherjee, Amlan Chakrabarti:
  From soccer video to ball possession statistics. 108338
• 
  Hugo Hammer, Anis Yazidi, Håvard Rue:
  Estimating Tukey depth using incremental quantile estimators. 108339

Machine learning

• 
  Jacqueline Christmas:
  Non-stationary, online variational Bayesian learning, with circular variables. 108340

Special Section on AI for Combating COVID-2019

• 
  Xiaoming Liu, Quan Yuan, Yaozong Gao, Kelei He, Shuo Wang, Xiao Tang, Jinshan Tang, Dinggang Shen:
  Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images. 108341

Various applications

• 
  Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Jinqiu Sun, Yu Zhu, Yanning Zhang:
  High dynamic range imaging via gradient-aware context aggregation network. 108342

Machine learning

• 
  Donglin Zhang, Xiao-Jun Wu:
  Robust and discrete matrix factorization hashing for cross-modal retrieval. 108343

Various applications

• 
  Pengju Zhang, Chaofan Zhang, Bingxi Liu, Yihong Wu:
  Leveraging local and global descriptors in parallel to search correspondences for visual localization. 108344

Classifiers and classification

• 
  Md Geaur Rahman, Md Zahidul Islam:
  Adaptive Decision Forest: An incremental machine learning framework. 108345

Regular papers

• 
  Xiaofeng Wang, Yan Wang, Jinjin Lei, Bin Li, Qin Wang, Jianru Xue:
  Coarse-to-fine-grained method for image splicing region detection. 108347

Classifiers and classification

• 
  Lina Yang, Fengqi Zhang, Patrick Shen-Pei Wang, Xichun Li, Zuqiang Meng:
  Multi-scale spatial-spectral fusion based on multi-input fusion calculation and coordinate attention for hyperspectral image classification. 108348

Regular papers

• 
  Rui Chen, Heng Zhang, Jixin Liu:
  Multi-attention augmented network for single image super-resolution. 108349

Objects and image analysis

• 
  Prashant W. Patil, Akshay Dudhane, Sachin Chaudhary, Subrahmanyam Murala:
  Multi-frame based adversarial learning approach for video surveillance. 108350

Various applications

• 
  Haoyue Shi, Le Wang, Nanning Zheng, Gang Hua, Wei Tang:
  Loss functions for pose guided person image generation. 108351

Regular papers

• 
  You Hao, Ping Hu, Shirui Li, Jayaram K. Udupa, Yubing Tong, Hua Li:
  Gradient-Aligned convolution neural network. 108354
• 
  Yuedong Chen, Guoxian Song, Zhiwen Shao, Jianfei Cai, Tat-Jen Cham, Jianmin Zheng:
  GeoConv: Geodesic guided convolution for facial action unit recognition. 108355
• 
  Antonio Javier Gallego, Juan Ramón Rico-Juan, Jose J. Valero-Mas:
  Efficient k-nearest neighbor search based on clustering and adaptive k values. 108356

Various applications

• 
  Fei Yang, Franck Davoine, Huan Wang, Zhong Jin:
  Continuous conditional random field convolution for point cloud segmentation. 108357

Objects and image analysis

• 
  Boyang Wan, Wenhui Jiang, Yuming Fang, Minwei Zhu, Qin Li, Yang Liu:
  Revisiting image captioning via maximum discrepancy competition. 108358
• 
  Nianchang Huang, Yongjiang Luo, Qiang Zhang, Jungong Han:
  Discriminative unimodal feature selection and fusion for RGB-D salient object detection. 108359

Human movements and activities

• 
  Mauricio Perez, Jun Liu, Alex C. Kot:
  Skeleton-based relational reasoning for group activity analysis. 108360

Special Section on Masked Face Recognition and Touchless Biometrics at the time of COVID-19

• 
  Mostafa M. Mohamed, Mina A. Nessiem, Anton Batliner, Christian Bergler, Simone Hantke, Maximilian Schmitt, Alice Baird, Adria Mallol-Ragolta, Vincent Karas, Shahin Amiriparian, Björn W. Schuller:
  Face mask recognition from audio: The MASC database and an overview on the mask challenge. 108361

Bio-medical patterns

• 
  Rodrigo C. Evangelista, Denis H. P. Salvadeo, Nelson D. A. Mascarenhas:
  A new bayesian Poisson denoising algorithm based on nonlocal means and stochastic distances. 108363

Regular papers

• 
  Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah:
  End-to-End Supermask Pruning: Learning to Prune Image Captioning Models. 108366