Pattern Recognition, Volume 140

Volume 140, August 2023

Classifiers and classification

• 
  Tong Gao, Hao Chen:
  Multicycle disassembly-based decomposition algorithm to train multiclass support vector machines. 109479
• 
  Dongmei Mo, Zhihui Lai, Jie Zhou, Qinghua Hu:
  Scatter matrix decomposition for jointly sparse learning. 109485

Human movements and activities

• 
  Surbhi Kapoor, Akashdeep Sharma, Amandeep Verma, Sarbjeet Singh:
  Aeriform in-action: A novel dataset for human action recognition in aerial videos. 109505

Objects and image analysis

• 
  Jiwei Chen, Zengfu Wang:
  Multi-task semi-supervised crowd counting via global to local self-correction. 109506

Machine learning

• 
  Suhan Guo, Bilan Lai, Suorong Yang, Jian Zhao, Furao Shen:
  Sensitivity pruner: Filter-Level compression algorithm for deep neural networks. 109508

Objects and image analysis

• 
  Yue Wang, Xu Jia, Lu Zhang, Yuke Li, James H. Elder, Huchuan Lu:
  A uniform transformer-based structure for feature fusion and enhancement for RGB-D saliency detection. 109516

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

• 
  Fan Liu, Delong Chen, Xiaoyu Du, Ruizhuo Gao, Feng Xu:
  MEP-3M: A large-scale multi-modal E-commerce product dataset. 109519

Classifiers and classification

• 
  Meng Yang, Jie Ling, Jiaming Chen, Mao Feng, Jian Yang:
  Discriminative semi-supervised learning via deep and dictionary representation for image classification. 109521

Objects and image analysis

• 
  Usman Ali, Jeongdan Choi, KyoungWook Min, Young-Kyu Choi, Muhammad Tariq Mahmood:
  Boundary-constrained robust regularization for single image dehazing. 109522

Features

• 
  Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
  Feature clustering-Assisted feature selection with differential evolution. 109523

Machine learning

• 
  Jing Zhang, Sunyue Xu, Victor S. Sheng:
  Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer. 109525

Special Section on Practical Deep Learning in the Wild

• 
  Weihan Chen, Peisong Wang, Jian Cheng:
  Towards Automatic Model Compression via a Unified Two-Stage Framework. 109527

Machine learning

• 
  Lukas Hedegaard, Negar Heidari, Alexandros Iosifidis:
  Continual spatio-temporal graph convolutional networks. 109528

Bio-medical patterns

• 
  Nathan Decaux, Pierre-Henri Conze, Juliette Ropars, Xinyan He, Frances T. Sheehan, Christelle Pons, Douraied Ben Salem, Sylvain Brochard, François Rousseau:
  Semi-automatic muscle segmentation in MR images using deep registration-based label propagation. 109529

Machine learning

• 
  Yue Liu, Zitu Liu, Shuang Li, Zhenyao Yu, Yike Guo, Qun Liu, Guoyin Wang:
  Cloud-VAE: Variational autoencoder with concepts embedded. 109530

Handwriting and document analysis

• 
  Guangtao Lyu, Kun Liu, Anna Zhu, Seiichi Uchida, Brian Kenji Iwana:
  FETNet: Feature erasing and transferring network for scene text removal. 109531

Classifiers and classification

• 
  Meidan Ding, Aiping Qu, Haiqin Zhong, Zhihui Lai, Shuomin Xiao, Penghui He:
  An enhanced vision transformer with wavelet position embedding for histopathological image classification. 109532
• 
  Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun:
  Reciprocal normalization for domain adaptation. 109533

Handwriting and document analysis

• 
  Jing Li, Qiu-Feng Wang, Kaizhu Huang, Xi Yang, Rui Zhang, John Yannis Goulermas:
  Towards better long-tailed oracle character recognition with adversarial data augmentation. 109534

Features

• 
  Yimiao Gao, Yuehan Yang:
  Transfer learning on stratified data: joint estimation transferred from strata. 109535

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

• 
  Zehua Zhang, Shilin Sun, Guixiang Ma, Caiming Zhong:
  Line graph contrastive learning for link prediction. 109537

Handwriting and document analysis

• 
  Mobai Xue, Jun Du, Bin Wang, Bo Ren, Yu Hu:
  Joint optimization for attention-based generation and recognition of chinese characters using tree position embedding. 109538

Objects and image analysis

• 
  Shishi Qiao, Ruiping Wang, Shiguang Shan, Xilin Chen:
  Hierarchical disentangling network for object representation learning. 109539

Human movements and activities

• 
  Meng Dai, Zhong-Hua Sun, Tianyi Wang, Jinchao Feng, Kebin Jia:
  Global spatio-temporal synergistic topology learning for skeleton-based action recognition. 109540

Classifiers and classification

• 
  Yucheol Cho, Gyeongdo Ham, Jae-Hyeok Lee, Daeshik Kim:
  Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network. 109541

Structural pattern recognition, network and graph methods

• 
  Panfeng Cao, Jian Wu:
  GraphRevisedIE: Multimodal information extraction with graph-revised network. 109542

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

• 
  Yingying Zhu, Gang Cao, Zhanyuan Yang, Xiufan Lu:
  Learning relation-based features for fine-grained image retrieval. 109543

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

• 
  Liang Zhang, Longqiang Yi, Yu Liu, Cheng Wang, Da Zhou:
  Motif Entropy Graph Kernel. 109544

Various applications

• 
  Weichao Kong, Feng Zhang, Wenjin Qin, Jianjun Wang:
  Low-Tubal-Rank tensor recovery with multilayer subspace prior learning. 109545

Face and biometrics

• 
  Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng:
  Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework. 109546

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

• 
  Qi Wang, JianJun Wang, Hongyu Deng, Xue Wu, Yazhou Wang, Gefei Hao:
  AA-trans: Core attention aggregating transformer with information entropy selector for fine-grained visual classification. 109547
• 
  Yumin Tian, Aqiang Ding, Di Wang, Xuemei Luo, Bo Wan, Yifeng Wang:
  Bi-Attention enhanced representation learning for image-text matching. 109548

Special Section on Practical Deep Learning in the Wild

• 
  Lizhi Xiong, Yue Wu, Peipeng Yu, Yuhui Zheng:
  A black-box reversible adversarial example for authorizable recognition to shared images. 109549

Objects and image analysis

• 
  Dichao Liu, Longjiao Zhao, Yu Wang, Jien Kato:
  Learn from each other to Classify better: Cross-layer mutual attention learning for fine-grained visual classification. 109550
• 
  Yaning Li, Xue Wang, Hao Zhu, Guoqing Zhou, Qing Wang:
  Dense light field reconstruction based on epipolar focus spectrum. 109551

Face and biometrics

• 
  Jifan Yang, Zhongyuan Wang, Baojin Huang, Jinsheng Xiao, Chao Liang, Zhen Han, Hua Zou:
  HeadPose-Softmax: Head pose adaptive curriculum learning loss for deep face recognition. 109552
• 
  Lei Ju, Josef Kittler, Muhammad Awais Rana, Wankou Yang, Zhen-Hua Feng:
  Keep an eye on faces: Robust face detection with heatmap-Assisted spatial attention and scale-Aware layer attention. 109553

Classifiers and classification

• 
  Huan Zhang, Liangxiao Jiang, Geoffrey I. Webb:
  Rigorous non-disjoint discretization for naive Bayes. 109554

Bio-medical patterns

• 
  Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen:
  Cross-level Feature Aggregation Network for Polyp Segmentation. 109555

Machine learning

• 
  Yuhan Lin, Lingfeng Niu, Yang Xiao, Ruizhi Zhou:
  Diluted binary neural network. 109556

Objects and image analysis

• 
  Tanmay Singha, Duc-Son Pham, Aneesh Krishna:
  A real-time semantic segmentation model using iteratively shared features in multiple sub-encoders. 109557
• 
  Xiuquan Hou, Meiqin Liu, Senlin Zhang, Ping Wei, Badong Chen:
  CANet: Contextual Information and Spatial Attention Based Network for Detecting Small Defects in Manufacturing Industry. 109558

Data science and big data

• 
  Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang:
  Identifying effective trajectory predictions under the guidance of trajectory anomaly detection model. 109559

Human movements and activities

• 
  Qinying Liu, Zilei Wang, Shenghai Rong:
  Improve Temporal Action Proposals using Hierarchical Context. 109560

Machine learning

• 
  Wenju Sun, Qingyong Li, Jing Zhang, Danyu Wang, Wen Wang, Yangli-ao Geng:
  Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers. 109561
• 
  Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi:
  RMAML: Riemannian meta-learning with orthogonality constraints. 109563

Classifiers and classification

• 
  Wei Guo, Zhe Wang, Wenli Du:
  Robust semi-supervised multi-view graph learning with sharable and individual structure. 109565

Features

• 
  Zhaogeng Liu, Jielong Yang, Li Wang, Yi Chang:
  A novel relation aware wrapper method for feature selection. 109566

Classifiers and classification

• 
  Kamalakar Vijay Thakare, Debi Prosad Dogra, Heeseung Choi, Haksub Kim, Ig-Jae Kim:
  RareAnom: A Benchmark Video Dataset for Rare Type Anomalies. 109567

Various applications

• 
  Jing Liu, Yang Liu, Wei Zhu, Xiaoguang Zhu, Liang Song:
  Distributional and spatial-temporal robust representation learning for transportation activity recognition. 109568

Machine learning

• 
  Xin Hu, Xin Wei, Jian Sun:
  A Noising-Denoising Framework for Point Cloud Upsampling via Normalizing Flows. 109569
• 
  Filipe Marcel Fernandes Gonçalves, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
  Regression by Re-Ranking. 109577

Objects and image analysis

• 
  Yubo Zhu, Wentian Zhao, Rui Hua, Xinxiao Wu:
  Topic-aware video summarization using multimodal transformer. 109578
• 
  Zuopeng Zhao, Chen He, Guangming Zhao, Jie Zhou, Kai Hao:
  RA-YOLOX: Re-parameterization align decoupled head and novel label assignment scheme based on YOLOX. 109579

Data science and big data

• 
  Haiquan Qiu, Youlong Yang, Hua Pan:
  Underestimation modification for intrinsic dimension estimation. 109580

Objects and image analysis

• 
  Emad Aghajanzadeh, Tahereh Bahraini, Amir Hossein Mehrizi, Hadi Sadoghi Yazdi:
  Task weighting based on particle filter in deep multi-task learning with a view to uncertainty and performance. 109587

Machine learning

• 
  Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang:
  MoCA: Incorporating domain pretraining and cross attention for textbook question answering. 109588
• 
  Yangyang Zhu, Luofeng Xie, Zhengfeng Xie, Ming Yin, Guofu Yin:
  FSConv: Flexible and separable convolution for convolutional neural networks compression. 109589

Classifiers and classification

• 
  Juan C. Alfaro, Juan A. Aledo, José A. Gámez:
  Pairwise learning for the partial label ranking problem. 109590

Human movements and activities

• 
  Matthew Korban, Xin Li:
  Semantics-enhanced early action detection using dynamic dilated convolution. 109595

Bio-medical patterns

• 
  Kun Wang, Xiaohong Zhang, Yuting Lu, Wei Zhang, Sheng Huang, Dan Yang:
  GSAL: Geometric structure adversarial learning for robust medical image segmentation. 109596

Machine learning

• 
  Liangliang Zhu, Xinwen Zhu, Xiurui Geng:
  Factorized multi-Graph matching. 109597

Classifiers and classification

• 
  Guo-Feng Luo, Da-Han Wang, Xia Du, Huayi Yin, Xu-Yao Zhang, Shunzhi Zhu:
  Self-information of radicals: A new clue for zero-shot Chinese character recognition. 109598