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Publications in CVPR 2024

Transformers

  • Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
  • FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer

Contrastive Learning

  • Improving Graph Contrastive Learning via Adaptive Positive Sampling
  • CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning

Scene Graph Generation

  • DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation
  • EGTR: Extracting Graph from Transformer for Scene Graph Generation
  • HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
  • HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding
  • OED: Towards One-stage End-to-End Dynamic Scene Graph Generation
  • LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
  • From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models
  • Leveraging Predicate and Triplet Learning for Scene Graph Generation

Scene Graphs

  • SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks
  • Action Scene Graphs for Long-Form Understanding of Egocentric Videos
  • GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs
  • Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships
  • Multi-Level Neural Scene Graphs for Dynamic Urban Environments

Point Clouds

  • GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
  • DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching
  • Denoising Point Cloud in Latent Space via Graph Convolution and Invertible Neural Network

Dynamic Graphs

  • Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
  • GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs

Diffusion

  • HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models
  • Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs
  • DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly

3D Data

  • MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation
  • CAGE: Controllable Articulation GEneration

Miscellaneous

  • FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences
  • Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline
  • BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition
  • Constrained Layout Generation with Factor Graphs
  • Domain Separation Graph Neural Networks for Saliency Object Ranking
  • Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments
  • SignGraph: A Sign Sequence is Worth Graphs of Nodes
  • Image Processing GNN: Breaking Rigidity in Super-Resolution
  • Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images
  • Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs
  • Learning Structure-from-Motion with Graph Attention Networks
  • The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective
  • MemoNav: Working Memory Model for Visual Navigation
  • Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning
  • Neural Markov Random Field for Stereo Matching