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IEEE Transactions on Pattern Analysis and Machine Intelligence
Title
Publication Date
Language
Citations
RestoreFormer++: Towards Real-World Blind Face Restoration From Undegraded Key-Value Pairs
2023/12/01
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
2023/12/01
Interactive NeRF Geometry Editing With Shape Priors
2023/12/01
Hunter: Exploring High-Order Consistency for Point Cloud Registration With Severe Outliers
2023/12/01
Transferable Time-Series Forecasting Under Causal Conditional Shift
2024/04/01
NeuroZoom: Denoising and Super Resolving Neuromorphic Events and Spikes
2023/12/01
Fine Detailed Texture Learning for 3D Meshes With Generative Models
2023/12/01
Deep Scene Flow Learning: From 2D Images to 3D Point Clouds
2024/01/01
Hierarchical Attention-Based Age Estimation and Bias Analysis
2023/12/01
Uncertainty-Aware Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization
2023/12/01
Background-Aware Classification Activation Map for Weakly Supervised Object Localization
2023/12/01
H4MER: Human 4D Modeling by Learning Neural Compositional Representation With Transformer
2023/12/01
t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators
2024/05/01
Supervision by Denoising
2024/01/01
Attribute-Aware Deep Hashing With Self-Consistency for Large-Scale Fine-Grained Image Retrieval
2023/11/01
Tree Recovery by Dynamic Programming
2023/12/01
Modeling Noisy Annotations for Point-Wise Supervision
2023/12/01
CoIR: Compressive Implicit Radar
2024/01/01
Transformer-Empowered Invariant Grounding for Video Question Answering
2024/01/01
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
2023/12/01
SERE: Exploring Feature Self-Relation for Self-Supervised Transformer
2023/12/01
Label Efficient Regularization and Propagation for Graph Node Classification
2023/12/01
A Survey of Vectorization Methods in Topological Data Analysis
2023/12/01
Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations
2023/12/01
AUC-Oriented Domain Adaptation: From Theory to Algorithm
2023/12/01
Neural Maximum a Posteriori Estimation on Unpaired Data for Motion Deblurring
2023/12/01
Information Bottleneck and Aggregated Learning
2023/12/01
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction
2023/12/01
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics
2024/04/01
Regularized Optimal Transport Layers for Generalized Global Pooling Operations
2023/12/01
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