2022 CVPR 关于图的接收列表

Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation
SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification
Asynchronous Event-based Graph-Neural Networks
Fine-Grained Predicates Learning for Scene Graph Generation
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
GraFormer: Graph-oriented Transformer for 3D Pose Estimation
Automatic Relation-aware Graph Network Proliferation
Multi-Robot Active Mapping via Neural Bipartite Graph Matching
Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships
A Voxel Graph CNN for Object Classification with Event Cameras
Structured Sparse R-CNN for Direct Scene Graph Generation
A Graph Matching Perspective with Transformers on Video Instance Segmentation
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction
HL-Net: Heterophily Learning Network for Scene Graph Generation
Neural Collaborative Graph Machines for Table Structure Recognition
RU-Net: Regularized Unrolling Network for Scene Graph Generation
Cross-modal Clinical Graph Transformer For Ophthalmic Report Generation
The Pedestrian next to the Lamppost'' Adaptive Object Graphs for Better Instantaneous Mapping
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging
Audio-driven Neural Gesture Reenactment with Video Motion Graphs
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation
Improving Subgraph Recognition with Variational Graph Information Bottleneck
GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings
Scene Graph Expansion for Semantics-Guided Image Outpainting
Interacting Attention Graph for Single Image Two-Hand Reconstruction
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation
CellTypeGraph: A New Geometric Computer Vision Benchmark
SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters
Robust Optimization as Data Augmentation for Large-scale Graphs
Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs
AirObject: A Temporally Evolving Graph Embedding for Object Identification
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees
Weakly Supervised Segmentation on Outdoor 4D point clouds with Temporal Matching and Spatial Graph Propagation
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond
Object-Relation Reasoning Graph for Action Recognition
Lifelong Graph Learning
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection
Highly-efficient Incomplete Large-scale Multi-view Clustering with Consensus Bipartite Graph
MS2DG-Net: Progressive Correspondence Learning via Multi Sparse Semantic Dynamic Graph
Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
NPBG++: Accelerating Neural Point-Based Graphics
ClusterGNN: Cluster-based Coarse-to-fine Graph Neural Network for Efficient Feature Matching
Graph-context Attention Networks for Size-varied Deep Graph Matching
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction
SGTR: End-to-end Scene Graph Generation with Transformer
PPDL: Predicate Probability Distribution based Loss for Unbiased Scene Graph Generation
Spatial Commonsense Graph for Object Localisation in Partial Scenes
Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification
Learning Graph Regularisation for Guided Super-Resolution
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
Dynamic Scene Graph Generation via Anticipatory Pre-training
Multi-Modal Dynamic Graph Transformer for Visual Grounding
Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation