All Stories

  1. Review of pedestrian trajectory prediction based on graph neural networks
  2. Spatio-temporal dynamic masking and direction-aware dynamic graph convolution for traffic prediction
  3. Future occupancy guidance under multi-view collaboration for trajectory prediction
  4. CWGCN: Cascaded Wavelet Graph Convolution Network for pedestrian trajectory prediction
  5. MRTBF-Net: A Multi-Relation Three-Branch Fusion Transformer with Cross-Modal Context for Human-Object Interaction Detection
  6. HoGAT: higher-order graph attention network for pedestrian trajectory prediction
  7. PCHGCN: Physically Constrained Higher-Order Graph Convolutional Network for Pedestrian Trajectory Prediction
  8. DP-SORT:Research on a density-layered association MOT algorithm integrating human pose information
  9. HP-BEV: a bird’s-eye view segmentation model based on spatial height modeling
  10. MGFormer: a multi-information-based GRU-transformer network for pedestrian trajectory prediction
  11. Anomaly detection method of surveillance video based on global-local information
  12. DSTIGCN: Deformable Spatial-Temporal Interaction Graph Convolution Network for Pedestrian Trajectory Prediction
  13. Nighttime pedestrian detection using crossed wavelet fusion networks
  14. Group vehicle trajectory prediction model based on multi-graph fusion
  15. Important people detection based on multi-level key actor interaction graph
  16. Enhancing video pedestrian detection with tracking-information-aided framework and multi-scale feature optimization
  17. IGGCN: Individual-guided graph convolution network for pedestrian trajectory prediction
  18. MSDHGNN: Multi-Scale Decomposition Hypergraph Neural Network for Pedestrian Trajectory Prediction
  19. PB-Trajectron: Physics bounded neural network for generalized trajectory prediction
  20. Physics constrained pedestrian trajectory prediction with probability quantification
  21. Vehicle trajectory prediction based on cross-attention and multilevel spatio-temporal features
  22. IMGCN: interpretable masked graph convolution network for pedestrian trajectory prediction
  23. Neural differential constraint-based pedestrian trajectory prediction model in ego-centric perspective
  24. Supernode Fusion Model Based on Bimodal Action Recognition
  25. WTGCN: wavelet transform graph convolution network for pedestrian trajectory prediction
  26. DSTCNN: Deformable spatial-temporal convolutional neural network for pedestrian trajectory prediction
  27. Non-probability sampling network based on anomaly pedestrian trajectory discrimination for pedestrian trajectory prediction
  28. VOSTN: Variational One-shot Transformer Network for Pedestrian Trajectory Prediction
  29. STIGCN: spatial–temporal interaction-aware graph convolution network for pedestrian trajectory prediction
  30. MSTCNN: multi-modal spatio-temporal convolutional neural network for pedestrian trajectory prediction
  31. RDGCN: Reasonably dense graph convolution network for pedestrian trajectory prediction
  32. Design of wireless in-pipe inspection robot for image acquisition
  33. Human Motion prediction based on attention mechanism
  34. Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification
  35. 动作识别
  36. A Sign Language Recognition System in Complex Background
  37. Gesture Detection and Recognition Fused with Multi-feature Based on Kinect
  38. A New Kind of Background Retrieval and Renewed Algorithm Based on Parameter
  39. Moving Object Detection Based on Background Subtraction of Block Updates
  40. Research on the Real-Time Multiple Face Detection, Tracking and Recognition Based on Video
  41. Vehicle Abnormal Behavior Detection System Based on Video
  42. Defocused Palmprint Recognition Using 2DPCA
  43. Particle Swarm Optimization for Solving a Shooting Point