TAA-GCN: A temporally aware Adaptive Graph Convolutional Network for age estimation
Thermal to Visual Person Re-Identification Using Collaborative Metric Learning Based on Maximum Margin Matrix Factorization
Meta-learning-based adversarial training for deep 3D face recognition on point clouds
BehavePassDB: Public Database for Mobile Behavioral Biometrics and Benchmark Evaluation
ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis
A consistent and flexible framework for deep matrix factorizations
Unsupervised Domain Adaptation via Deep Conditional Adaptation Network
Mitigating the effect of dataset shift in clustering
Towards Parameter-Free Clustering for Real-World Data
Deep graph clustering with multi-level subspace fusion
High-order manifold regularized multi-view subspace clustering with robust affinity matrices and weighted TNN
Auto-weighted Tensor Schatten p-Norm for Robust Multi-view Graph Clustering
A framework based on local cores and synthetic examples generation for self-labeled semi-supervised classification
Self-paced resistance learning against overfitting on noisy labels
IDA: Improving distribution analysis for reducing data complexity and dimensionality in hyperspectral images
PFEMed: Few-shot medical image classification using prior guided feature enhancement
Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions
Deep learning for image inpainting: A survey
Curvilinear Structure Tracking Based on Dynamic Curvature-penalized Geodesics
A Lie algebra representation for efficient 2D shape classification
A goal-driven unsupervised image segmentation method combining graph-based processing and Markov random fields
AugFCOS: Augmented fully convolutional one-stage object detection network
UDNet: Uncertainty-aware deep network for salient object detection
SC-GAN: Subspace Clustering based GAN for Automatic Expression Manipulation
Specialized re-ranking: A novel retrieval-verification framework for cloth changing person re-identification
Enhancing 3D-2D Representations for Convolution Occupancy Networks
A dense light field reconstruction algorithm for four-dimensional optical flow constraint equation
Fuzzy Superpixel-based Image Segmentation
Tripartite sub-image histogram equalization for slightly low contrast gray-tone image enhancement
Frequency domain regularization for iterative adversarial attacks
Multi-label feature selection via robust flexible sparse regularization
Density peaks clustering based on balance density and connectivity
Video Object Segmentation using Point-based Memory Network
Domain Generalization by Joint-Product Distribution Alignment
A unified low-order information-theoretic feature selection framework for multi-label learning
Simultaneous Robust Matching Pursuit for Multi-view Learning
Parzen Window Approximation on Riemannian Manifold
End-to-end kernel learning via generative random Fourier features
Regularizing autoencoders with wavelet transform for sequence anomaly detection
Joint Graph Learning and Matching for Semantic Feature Correspondence
Multi-stage image denoising with the wavelet transform
Learning isometry-invariant representations for point cloud analysis
Improving adversarial robustness by learning shared information
Unauthorized AI cannot recognize me: Reversible adversarial example
Robust learning from noisy web data for fine-Grained recognition
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches
