Editorial Board
Learning a deep dual-level network for robust DeepFake detection
Discrete curve model for non-elastic shape analysis on shape manifold
Novel hyperbolic clustering-based band hierarchy (HCBH) for effective unsupervised band selection of hyperspectral images
LSRML: A latent space regularization based meta-learning framework for MR image segmentation
Contrastive author-aware text clustering
Auto-weighted sample-level fusion with anchors for incomplete multi-view clustering
Enforced block diagonal subspace clustering with closed form solution
Directly solving normalized cut for multi-view data
Discriminative and regularized echo state network for time series classification
Classification for high-dimension low-sample size data
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron
Two-stage generative adversarial networks for binarization of color document images
Hippocampus-heuristic character recognition network for zero-shot learning in Chinese character recognition
DMT: Dynamic mutual training for semi-supervised learning
Residual objectness for imbalance reduction
The iterative convolution–thresholding method (ICTM) for image segmentation
3D Object Detection for Autonomous Driving: A Survey
General nonconvex total variation and low-rank regularizations: Model, algorithm and applications
Self-supervised rigid transformation equivariance for accurate 3D point cloud registration
Online multiple object tracking using joint detection and embedding network
Joint prediction of monocular depth and structure using planar and parallax geometry
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection
Pseudo loss active learning for deep visual tracking
Few-shot Website Fingerprinting attack with Meta-Bias Learning
A multi-embedding neural model for incident video retrieval
Identifying the key frames: An attention-aware sampling method for action recognition
Dual-frame spatio-temporal feature modulation for video enhancement
Distributional barycenter problem through data-driven flows
Sample complexity of rank regression using pairwise comparisons
Asymmetric cross–modal hashing with high–level semantic similarity
Towards lifelong object recognition: A dataset and benchmark
Multimodal channel-wise attention transformer inspired by multisensory integration mechanisms of the brain
Model scheduling and sample selection for ensemble adversarial example attacks
FastOPM—A practical method for partial match of time series
Fully convolutional Deep Stacked Denoising Sparse Auto encoder network for partial face reconstruction
Cross-modality attentive feature fusion for object detection in multispectral remote sensing imagery
Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition
Dynamic feature fusion with spatial-temporal context for robust object tracking
Self-Attention based fine-grained cross-media hybrid network
Learning attention-guided pyramidal features for few-shot fine-grained recognition
The CP‐ABM approach for modelling COVID‐19 infection dynamics and quantifying the effects of non‐pharmaceutical interventions
Time-varying Group Lasso Granger Causality Graph for High Dimensional Dynamic system