mlsanityData to 7 Oct 2026

End-to-end people detection in crowded scenes

arXiv 1506.04878 ↗First posted 16 Jun 2015cs.CVcited by 140

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Abstract (arXiv)

Current people detectors operate either by scanning an image in a sliding window fashion or by classifying a discrete set of proposals. We propose a model that is based on decoding an image into a set of people detections. Our system takes an image as input and directly outputs a set of distinct detection hypotheses. Because we generate predictions jointly, common post-processing steps such as non-maximum suppression are unnecessary. We use a recurrent LSTM layer for sequence generation and train our model end-to-end with a new loss function that operates on sets of detections. We demonstrate the effectiveness of our approach on the challenging task of detecting people in crowded scenes.

Key facts. Cited by 140 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jun 2015.

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Citing papers per year: 2021: 41; 2022: 33; 2023: 35; 2024: 17; 2025: 8; 2026: 6.

140 papers.

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  1. 2021DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queriescited by 655
  2. 2021TrackFormer: Multi-Object Tracking with Transformerscited by 515
  3. 2024YOLOv10: Real-Time End-to-End Object Detectioncited by 508
  4. 2021Pix2seq: A Language Modeling Framework for Object Detectioncited by 345
  5. 2021An End-to-End Transformer Model for 3D Object Detectioncited by 329
  6. 2022Mask3D: Mask Transformer for 3D Semantic Instance Segmentationcited by 299
  7. 2021K-Net: Towards Unified Image Segmentationcited by 211
  8. 2021Fast Convergence of DETR with Spatially Modulated Co-Attentioncited by 176
  9. 2021Rethinking Counting and Localization in Crowds:A Purely Point-Based Frameworkcited by 152
  10. 2021End-to-End Human Object Interaction Detection with HOI Transformercited by 134
  11. 2021Efficient DETR: Improving End-to-End Object Detector with Dense Priorcited by 128
  12. 2021You Only Look One-level Featurecited by 116
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  1. 2021Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformerscited by 109
  2. 2021Video Instance Segmentation using Inter-Frame Communication Transformerscited by 105
  3. 2021Pose Recognition with Cascade Transformerscited by 99
  4. 2022RelTR: Relation Transformer for Scene Graph Generationcited by 95
  5. 2021E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learningcited by 84
  6. 2023Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Modelscited by 82
  7. 2022TransVOD: End-to-End Video Object Detection with Spatial-Temporal Transformerscited by 78
  8. 20213D-MAN: 3D Multi-frame Attention Network for Object Detectioncited by 73
  9. 2021QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queriescited by 72
  10. 2023Bird's-Eye-View Scene Graph for Vision-Language Navigationcited by 71
  11. 2022SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognitioncited by 70
  12. 2022A Keypoint-based Global Association Network for Lane Detectioncited by 68
  13. 2022Sparse Instance Activation for Real-Time Instance Segmentationcited by 63
  14. 2022Few-shot Object Counting with Similarity-Aware Feature Enhancementcited by 62
  15. 2023Continual Detection Transformer for Incremental Object Detectioncited by 59
  16. 2021Object DGCNN: 3D Object Detection using Dynamic Graphscited by 58
  17. 2021On Pursuit of Designing Multi-modal Transformer for Video Groundingcited by 54
  18. 2022Polar Parametrization for Vision-based Surround-View 3D Detectioncited by 53
  19. 2021Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Paperscited by 49
  20. 2021Activity Graph Transformer for Temporal Action Localizationcited by 48
  21. 20214D-Net for Learned Multi-Modal Alignmentcited by 44
  22. 2022Discovering Objects that Can Movecited by 44
  23. 2023LATR: 3D Lane Detection from Monocular Images with Transformercited by 44
  24. 2021Tracking Pedestrian Heads in Dense Crowdcited by 42
  25. 2021End-to-End Video Object Detection with Spatial-Temporal Transformerscited by 40
  26. 2023FastInst: A Simple Query-Based Model for Real-Time Instance Segmentationcited by 32
  27. 2022Progressive End-to-End Object Detection in Crowded Scenescited by 31
  28. 2022BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentationcited by 31
  29. 2021Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimationcited by 30
  30. 2021About Face: A Survey of Facial Recognition Evaluationcited by 27
  31. 2022Learning 3D Scene Priors with 2D Supervisioncited by 24
  32. 2024PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Imagescited by 24
  33. 2021A Survey of Deep Learning Techniques for Weed Detection from Imagescited by 23
  34. 2023Object Detection with Transformers: A Reviewcited by 22
  35. 2023Calibrating Uncertainty for Semi-Supervised Crowd Countingcited by 22
  36. 2021Maria: A Visual Experience Powered Conversational Agentcited by 19
  37. 2024Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentationcited by 18
  38. 2021Multiset-Equivariant Set Prediction with Approximate Implicit Differentiationcited by 17

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