Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection | Paper Citation Record

Observation 35a7ad7c-f4ab-409c-9510-7a631ae4da72 · outbound

This paper cites End-to-end object detection with transformers,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection End-to-end object detection with transformers,

Reference 1

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Observation 5f4ed1cd-3b57-4f92-8d5a-adc8a50eaaaf · outbound

This paper cites An end-to-end transformer model for 3d object detection,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection An end-to-end transformer model for 3d object detection,

Reference 2

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Observation d243019a-2e10-4774-abe5-bf4cfa62e4a7 · outbound

This paper cites Motr: End-to-end multiple-object tracking with transformer,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Motr: End-to-end multiple-object tracking with transformer,

Reference 3

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Observation 5d15bc1e-c76b-4110-9510-cd7410c37809 · outbound

This paper cites Planning-oriented autonomous driving,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Planning-oriented autonomous driving,

Reference 4

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Observation a1ddfb41-29d0-4891-87a4-ca9dbc38be56 · outbound

This paper cites Monodetr: Depth-guided transformer for monocular 3d object detection,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Monodetr: Depth-guided transformer for monocular 3d object detection,

Reference 5

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Observation 750e374c-2107-4e4c-8351-9782fc45612d · outbound

This paper cites 3dmot- former: Graph transformer for online 3d multi-object tracking,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection 3dmot- former: Graph transformer for online 3d multi-object tracking,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.285937Z

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Observation 4982b097-8899-45e4-ab4d-8e0a315fba4c · outbound

This paper cites Auto4D: Learning to Label 4D Objects from Sequential Point Clouds.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Auto4D: Learning to Label 4D Objects from Sequential Point Clouds

Reference 7

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Observation fa1993fc-b584-4ce9-b38e-42e359e3a811 · outbound

This paper cites Once detected, never lost: Surpassing human performance in offline lidar based 3d object detection,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Once detected, never lost: Surpassing human performance in offline lidar based 3d object detection,

Reference 8

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Observation 9d942f39-202d-4286-96c2-14e03ce8d3ec · outbound

This paper cites Detzero: Rethinking offboard 3d object detection with long-term sequential point clouds,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Detzero: Rethinking offboard 3d object detection with long-term sequential point clouds,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.261596Z

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Observation ef9ef149-8396-4f5d-af1a-c60ba650d190 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Scalability in perception for autonomous driving: Waymo open dataset,

Reference 10

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Observation 96172834-3a9f-4d6e-a3f1-d0db900c706d · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection nuscenes: A multimodal dataset for autonomous driving,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.641172Z

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Observation 7c2bfdaf-245c-42a7-b4e6-c3059c2e6ea8 · outbound

This paper cites The h3d dataset for full-surround 3d multi-object detection and tracking in crowded urban scenes,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection The h3d dataset for full-surround 3d multi-object detection and tracking in crowded urban scenes,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.234902Z

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Observation 3b6a5843-30cb-4f33-bc07-a15e75148314 · outbound

This paper cites Stcrowd: A multimodal dataset for pedes- trian perception in crowded scenes,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Stcrowd: A multimodal dataset for pedes- trian perception in crowded scenes,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.220740Z

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Observation 958ebef6-fba6-4597-b0d4-183f1bb67e4c · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s- eye view representation,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Bevfusion: Multi-task multi-sensor fusion with unified bird’s- eye view representation,

Reference 14

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Observation 9e6fbc79-a620-4729-b089-4305e149fdc4 · outbound

This paper cites Center-based 3d object detec- tion and tracking,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Center-based 3d object detec- tion and tracking,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.200646Z

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Observation d21b307e-accc-4388-ac37-6a5bdca390d2 · outbound

This paper cites 3d multi-object tracking: A baseline and new evaluation metrics,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection 3d multi-object tracking: A baseline and new evaluation metrics,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.188314Z

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Observation 2f01602c-923f-4cf1-bae4-95ae8796de2c · outbound

This paper cites Gnn3dmot: Graph neural network for 3d multi-object tracking with 2d-3d multi-feature learning,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Gnn3dmot: Graph neural network for 3d multi-object tracking with 2d-3d multi-feature learning,

Reference 17

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Observation d6baedf9-1182-43be-9919-a06d4e34b3a5 · outbound

This paper cites Exploring simple 3d multi-object tracking for autonomous driving,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Exploring simple 3d multi-object tracking for autonomous driving,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.162884Z

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Observation 27bcbb9a-09ed-4276-bf86-d82d5a33e031 · outbound

This paper cites Spot: Spatiotemporal modeling for 3d object tracking,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Spot: Spatiotemporal modeling for 3d object tracking,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.150831Z

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Observation c227c610-879c-45be-a250-db27e3794082 · outbound

This paper cites Tracking objects as points,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Tracking objects as points,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.138693Z

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Observation 0b43a5c4-7ea6-420b-9f30-1a857708aace · outbound

This paper cites Probabilistic 3d multi- modal, multi-object tracking for autonomous driving,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Probabilistic 3d multi- modal, multi-object tracking for autonomous driving,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.126607Z

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Observation 3ab48582-fa9e-40f3-8e42-0da689cad68c · outbound

This paper cites Pedestrian detection in crowded scenes,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Pedestrian detection in crowded scenes,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.114629Z

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Observation 289d13ba-9d64-47d8-8bcf-12f4f4e1ef01 · outbound

This paper cites How far are we from solving pedestrian detection?.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection How far are we from solving pedestrian detection?

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.102761Z

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Observation c6c81ee0-08fc-49a7-a847-8c5c6926ea2e · outbound

This paper cites Multi-view 3d human tracking in crowded scenes,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Multi-view 3d human tracking in crowded scenes,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.090808Z

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Observation f83ccce6-a419-4d3d-a476-22af46838ed6 · outbound

This paper cites On multi-modal people tracking from mobile platforms in very crowded and dynamic environments,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection On multi-modal people tracking from mobile platforms in very crowded and dynamic environments,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.078823Z

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Observation 797f2075-cbf7-4946-b28f-90acf1184d9e · outbound

This paper cites Where, what, whether: Multi-modal learning meets pedestrian detection,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Where, what, whether: Multi-modal learning meets pedestrian detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.067887Z

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Observation 2aaf0e0d-a8f1-45eb-83fa-de1ff9515784 · outbound

This paper cites Detection in crowded scenes: One proposal, multiple predictions,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Detection in crowded scenes: One proposal, multiple predictions,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.057032Z

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Observation 09ab42ff-a16f-4f2a-b091-aff561fbf8e7 · outbound

This paper cites Temporal- context enhanced detection of heavily occluded pedestrians,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Temporal- context enhanced detection of heavily occluded pedestrians,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.045950Z

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Observation edb8c1b8-430a-483a-ae7b-94eade4b5886 · outbound

This paper cites Graininess-aware deep feature learning for robust pedestrian detection,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Graininess-aware deep feature learning for robust pedestrian detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.032670Z

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Observation 2c24be1a-f5e9-4e1e-971c-cc0250492db2 · outbound

This paper cites Occlusion handling and multi-scale pedestrian detection based on deep learning: A review,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Occlusion handling and multi-scale pedestrian detection based on deep learning: A review,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.018499Z

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Observation 153fecbf-e7b9-4850-a644-bc6d37727bfb · outbound

This paper cites Tracking pedestrian heads in dense crowd,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Tracking pedestrian heads in dense crowd,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:03.005672Z

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Observation 05e40b6e-2003-444c-8ef0-965e17d32695 · outbound

This paper cites Mask-guided attention network for occluded pedestrian detection,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Mask-guided attention network for occluded pedestrian detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:02.992579Z

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Observation 66f80e89-f29f-4755-b761-3b65b9cef147 · outbound

This paper cites Occlusion-aware r- cnn: Detecting pedestrians in a crowd,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Occlusion-aware r- cnn: Detecting pedestrians in a crowd,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:02.979609Z

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Observation 1359af3c-478e-46a8-b166-4942f3d4b73f · outbound

This paper cites Nms by representative region: Towards crowded pedestrian detection by proposal pairing,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Nms by representative region: Towards crowded pedestrian detection by proposal pairing,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:02.966757Z

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Observation 25458775-027a-4574-9e20-f34d8bc0105d · outbound

This paper cites DETR for Crowd Pedestrian Detection.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection DETR for Crowd Pedestrian Detection

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:12:02.862932Z

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Observation 8452933f-3cac-438b-95e5-4723aa2b9b16 · outbound

This paper cites CrowdHuman: A Benchmark for Detecting Human in a Crowd.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection CrowdHuman: A Benchmark for Detecting Human in a Crowd

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.747406Z

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Observation 3108ac28-0bed-4691-b38c-ca0897f4274b · outbound

This paper cites Crowdpose: Efficient crowded scenes pose estimation and a new benchmark,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Crowdpose: Efficient crowded scenes pose estimation and a new benchmark,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.752019Z

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Observation f8c9c3b3-4052-4242-8da4-6fcbfc026bee · outbound

This paper cites MOT20: A benchmark for multi object tracking in crowded scenes.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection MOT20: A benchmark for multi object tracking in crowded scenes

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.755723Z

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Observation 305af4a3-b7cc-457d-9b78-5f2855c60400 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.760408Z

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Observation 571ec81a-a1ef-4802-9c47-04070806ee80 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.764555Z

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Observation 2a8dbdc7-b6c5-4b56-b2f6-4d3b8d6fb61c · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:02.935153Z

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Observation 792661d6-9ad0-432f-98d5-0b766da29444 · outbound

This paper cites Repair: Removing representation bias by dataset resampling,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Repair: Removing representation bias by dataset resampling,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:02.923041Z

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Observation 8b3f50c1-337b-492d-a565-01c569c3b9c1 · outbound

This paper cites Focal loss for dense object detection,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Focal loss for dense object detection,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.777354Z

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Observation c720f83e-76d0-4cfd-92a2-5d1b98ba3517 · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Second: Sparsely embedded convolutional detection,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.781265Z

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Observation 0d54995b-26a6-4bb2-9a42-9949e7673930 · outbound

This paper cites Deep high-resolution representation learning for visual recognition,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Deep high-resolution representation learning for visual recognition,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:02.898412Z

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Observation 0ecbdfc1-0117-4bda-bf5d-119ff1beefa1 · outbound

This paper cites MOT16: A Benchmark for Multi-Object Tracking.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection MOT16: A Benchmark for Multi-Object Tracking

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.790168Z

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Observation ab1dec03-2337-48f6-8b5c-d7679e89ca97 · outbound

This paper cites V oxelnext: Fully sparse voxelnet for 3d object detection and tracking,.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection V oxelnext: Fully sparse voxelnet for 3d object detection and tracking,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.794846Z

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