CVPR 2024 accepted papers on Graph learning
17 of the 2,716 papers accepted at CVPR 2024 (0.6%) are on Graph learning, compared with 1.2% at CVPR 2023. They fall into 4 topics.
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Topics and papers
Knowledge and temporal graphs · 10 papers
- BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition (176 citations)
- Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis (94 citations)
- Higher-order Relational Reasoning for Pedestrian Trajectory Prediction (31 citations)
- SignGraph: A Sign Sequence is Worth Graphs of Nodes (28 citations)
- HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation (21 citations)
- DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation (14 citations)
- Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images (14 citations)
- Constrained Layout Generation with Factor Graphs (6 citations)
- XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images (6 citations)
- Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs
