DCHM: Depth-Consistent Human Modeling for Multiview Detection | Paper Citation Record

Observation 100c06f7-caa9-45aa-a7e3-26834857b1e7 · outbound

This paper cites Slic superpixels.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Slic superpixels

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:18.171862Z

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Observation 03b371e9-0d95-40cb-819e-d3eee5ffed4a · outbound

This paper cites Deep oc- clusion reasoning for multi-camera multi-target detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Deep oc- clusion reasoning for multi-camera multi-target detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:18.148095Z

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Observation 46f81af3-3a2e-4280-864f-a5e08c86d59e · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:08:58.510807Z

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Observation 0141d535-4aef-4588-be2e-bbecd9a91b80 · outbound

This paper cites MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:09:05.676576Z

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Observation d43b3d7c-ceba-45a0-a78f-7a12766ae46c · outbound

This paper cites La- bel efficient lifelong multi-view broiler detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection La- bel efficient lifelong multi-view broiler detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:17.982710Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 047efbe8-d69f-4491-ba9f-e68ec7eb2e7b · outbound

This paper cites Wild- track: A multi-camera hd dataset for dense unscripted pedes- trian detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Wild- track: A multi-camera hd dataset for dense unscripted pedes- trian detection

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:17.791616Z

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Observation a3017096-9411-44c7-ac83-0e6651c92662 · outbound

This paper cites High-quality surface recon- struction using gaussian surfels.

DCHM: Depth-Consistent Human Modeling for Multiview Detection High-quality surface recon- struction using gaussian surfels

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:17.643041Z

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Observation d6c2c6ac-08ce-4c52-994b-f217546df626 · outbound

This paper cites Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:08:58.865043Z

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Observation 81c280b3-a029-4cb2-93f7-6cfa01b7e950 · outbound

This paper cites Multi-view tracking using weakly supervised human motion prediction.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Multi-view tracking using weakly supervised human motion prediction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:17.617388Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4f4cea1-6e5b-4a85-9c3b-42b88794c5cb · outbound

This paper cites Density-based spatial clustering of applications with noise.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Density-based spatial clustering of applications with noise

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:17.379260Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6319a096-4d39-4388-966e-722b14f4300c · outbound

This paper cites Multicamera people tracking with a probabilistic occupancy map.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Multicamera people tracking with a probabilistic occupancy map

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:17.137656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 692da603-2709-46d1-ae68-f11c040244a6 · outbound

This paper cites Multicamera people tracking with a probabilistic occupancy map.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Multicamera people tracking with a probabilistic occupancy map

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:16.930641Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8a41179f-6c40-4094-95e2-d1676e2db8d0 · outbound

This paper cites Multiview detection with shadow transformer (and view-coherent data augmentation).

DCHM: Depth-Consistent Human Modeling for Multiview Detection Multiview detection with shadow transformer (and view-coherent data augmentation)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:16.697757Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 203a3e37-ce54-431a-af6c-a99eee181531 · outbound

This paper cites Multi- view detection with feature perspective transformation.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Multi- view detection with feature perspective transformation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:16.364532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d47452d6-dbc7-4c18-8212-a5571e2e550b · outbound

This paper cites Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:08:59.312379Z

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Observation 487b5a7e-d172-4691-a132-dd1c291b0f58 · outbound

This paper cites SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition.

DCHM: Depth-Consistent Human Modeling for Multiview Detection SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:08:59.444791Z

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Observation 1c5f7a1b-fda9-462e-b730-d32f4bcff965 · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:16.236272Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 963ff92b-6335-46b0-a869-311f765987d5 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

DCHM: Depth-Consistent Human Modeling for Multiview Detection 3d gaussian splatting for real-time radiance field rendering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:08:59.669813Z

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Observation aa978717-b022-48a6-a340-b273c47e1b11 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

DCHM: Depth-Consistent Human Modeling for Multiview Detection YOLOv11: An Overview of the Key Architectural Enhancements

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T16:08:59.781530Z

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Observation 4b89b983-1a64-4031-8309-74dec7a62c08 · outbound

This paper cites Segment anything.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Segment anything

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:16.026768Z

Source-reported events for the cited work

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Observation 57b6215d-100c-4bc4-8912-ca2ea04999a4 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Pointpillars: Fast encoders for object detection from point clouds

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:15.771046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a0f0f68-96f6-48bb-ba78-aef55feba7b9 · outbound

This paper cites Multi-view target transformation for pedestrian detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Multi-view target transformation for pedestrian detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:15.604641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d1bad1c5-bd2d-48d3-b6c3-15bffe40c2ce · outbound

This paper cites Grounding Image Matching in 3D with MASt3R.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Grounding Image Matching in 3D with MASt3R

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:00.333550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be57c134-785b-4982-adb7-af61d105e653 · outbound

This paper cites Language-driven Semantic Segmentation.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Language-driven Semantic Segmentation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:00.444298Z

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Observation 681e35e4-0695-4983-8850-3a251a401f03 · outbound

This paper cites Generalizable multi- camera 3d pedestrian detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Generalizable multi- camera 3d pedestrian detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:15.399733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7e660d40-eb98-4440-b9e6-a208b32c954e · outbound

This paper cites Focal loss for dense object detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Focal loss for dense object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:15.237486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4806a585-4ace-401b-b281-c047843eda02 · outbound

This paper cites Un- supervised multi-view pedestrian detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Un- supervised multi-view pedestrian detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:14.990296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3615c51f-8aa6-456d-b676-8a133f937c47 · outbound

This paper cites Semantic-driven multi- camera pedestrian detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Semantic-driven multi- camera pedestrian detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:14.683571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e1ba62cc-8651-4fe0-a14f-fad02b2eaa2d · outbound

This paper cites Gaga: Group any gaussians via 3d-aware memory bank, 2024.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Gaga: Group any gaussians via 3d-aware memory bank, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:14.398979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 729385ec-28ae-4134-a76d-0ab5ab994c60 · outbound

This paper cites Voxelized 3D Feature Aggregation for Multiview Detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Voxelized 3D Feature Aggregation for Multiview Detection

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:09:05.387361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 07f8f61a-826c-4e5a-930b-83573099467e · outbound

This paper cites Multiview Detection with Cardboard Human Modeling.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Multiview Detection with Cardboard Human Modeling

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:09:05.115221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b78421de-9e4e-450a-b79b-d2c4255dcf7f · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:01.419630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f513a139-b5bd-4198-94dd-c94c0fd86b77 · outbound

This paper cites 3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization.

DCHM: Depth-Consistent Human Modeling for Multiview Detection 3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:09:04.867796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a85b8567-ddf7-477b-88ac-a7c226c16c0e · outbound

This paper cites Conditional random fields for multi-camera object detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Conditional random fields for multi-camera object detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:14.122607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 41879d9d-184f-4fe9-8724-c27652ea03cc · outbound

This paper cites Structure-from-motion revisited.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Structure-from-motion revisited

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:13.893379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation faac5e07-2e50-48b5-8bdc-3b35b9f15863 · outbound

This paper cites Flashsplat: 2d to 3d gaussian splatting segmentation solved optimally.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Flashsplat: 2d to 3d gaussian splatting segmentation solved optimally

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:13.713526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7b7cf81-a006-458e-aff7-266470225ef3 · outbound

This paper cites Stacked homography transformations for multi-view pedestrian detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Stacked homography transformations for multi-view pedestrian detection

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:13.545780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14aba0a4-1c8e-4854-ab55-7e8291630291 · outbound

This paper cites Selfpose3d: Self-supervised multi-person multi-view 3d pose estimation.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Selfpose3d: Self-supervised multi-person multi-view 3d pose estimation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:13.334366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7369e706-692e-4451-ab46-8543bf15c847 · outbound

This paper cites The clear 2006 evaluation.

DCHM: Depth-Consistent Human Modeling for Multiview Detection The clear 2006 evaluation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:13.131671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bdb3d13f-f18c-4670-9c27-d184778f4792 · outbound

This paper cites Earlybird: Early-fusion for multi- view tracking in the bird’s eye view.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Earlybird: Early-fusion for multi- view tracking in the bird’s eye view

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:12.952167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eb65c024-d47f-4a8c-a1d4-ceb45b13ef31 · outbound

This paper cites Bringing generalization to deep multi-view pedestrian detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Bringing generalization to deep multi-view pedestrian detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:11.438573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b7316ba4-37ca-4b88-8075-e40be9f31f99 · outbound

This paper cites 3d-muppet: 3d multi-pigeon pose es- timation and tracking.

DCHM: Depth-Consistent Human Modeling for Multiview Detection 3d-muppet: 3d multi-pigeon pose es- timation and tracking

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:11.243982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4931f32-c68d-4474-8d38-363e190fdc77 · outbound

This paper cites YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.

DCHM: Depth-Consistent Human Modeling for Multiview Detection YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:02.574346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e4f5405-3a67-498c-b9b0-a81d08351096 · outbound

This paper cites SparseGS: Real-time 360° sparse view synthesis using Gaussian splatting.

DCHM: Depth-Consistent Human Modeling for Multiview Detection SparseGS: Real-time 360° sparse view synthesis using Gaussian splatting

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:11.100143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 46d93b22-3435-4226-abcc-979ebf3d3518 · outbound

This paper cites Mvpgs: Excavating multi-view priors for gaussian splatting from sparse input views.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Mvpgs: Excavating multi-view priors for gaussian splatting from sparse input views

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:09.756076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e8891f0c-a024-4b2c-9c86-d7908bc14f9f · outbound

This paper cites EmbodiedSAM: Online Segment Any 3D Thing in Real Time.

DCHM: Depth-Consistent Human Modeling for Multiview Detection EmbodiedSAM: Online Segment Any 3D Thing in Real Time

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:02.888618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c72a9bdf-b09d-4e36-a889-395b5059c20f · outbound

This paper cites Multi-view people tracking via hierarchical trajectory com- position.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Multi-view people tracking via hierarchical trajectory com- position

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:09.476702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e360d44a-eeed-4b3a-ae55-afab94fd2607 · outbound

This paper cites Multicamera pedestrian detection using logic minimization.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Multicamera pedestrian detection using logic minimization

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:09.287565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 531270d4-6bf0-4c8a-a4ee-7e15f9068207 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Depth anything: Unleashing the power of large-scale unlabeled data

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:09.099161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 41f63259-c0f3-454a-9ed5-7586536d2be0 · outbound

This paper cites Depth Anything V2.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Depth Anything V2

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:03.241848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d10326a-0439-44a3-a0c8-dc4549a9fe7c · outbound

This paper cites Gaussian Grouping: Segment and Edit Anything in 3D Scenes.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Gaussian Grouping: Segment and Edit Anything in 3D Scenes

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:03.350433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a455d15c-602f-4201-895c-f9bd3ba92c67 · outbound

This paper cites Feature 3dgs: Supercharg- ing 3d gaussian splatting to enable distilled feature fields.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Feature 3dgs: Supercharg- ing 3d gaussian splatting to enable distilled feature fields

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:08.917611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a01be451-28e3-4624-8340-8c9b18f96ad4 · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

DCHM: Depth-Consistent Human Modeling for Multiview Detection V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:08.683015Z

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Observation dc31c873-0371-4966-8e37-9dbe429b2857 · outbound

This paper cites Multi-camera people detection and tracking,.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Multi-camera people detection and tracking,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:08.506586Z

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Observation 0a0aa99a-1a3f-448e-ab66-dd4175b4bd20 · outbound

This paper cites Fsgs: Real-time few-shot view synthesis using gaussian splatting.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Fsgs: Real-time few-shot view synthesis using gaussian splatting

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:08.362762Z

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Observation 095fc374-8213-4281-8c1e-e1171bbb4e76 · outbound

This paper cites Methodology.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Methodology

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:08.104565Z

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Observation 659f6c43-2319-415d-8024-de08b25e4955 · outbound

This paper cites Comparison.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Comparison

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:07.902375Z

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Observation 476cd6f5-95f5-4f36-8bfd-6f784fc4ccf5 · outbound

This paper cites The main functions, such as matching and clustering, are listed in Algorithm 1 and 2.

DCHM: Depth-Consistent Human Modeling for Multiview Detection The main functions, such as matching and clustering, are listed in Algorithm 1 and 2

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:07.728767Z

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Observation 849b51f8-9013-4822-a9f9-9e481bb6a13c · outbound

This paper cites an unresolved cited work.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:09:07.575214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55b7e7da-a83f-4984-8878-a1fe23e1682f · outbound

This paper cites Integrating pro- posed human modeling with supervised method outper- forms existing label-based approaches, achieving both the highest accuracy and computational speed.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Integrating pro- posed human modeling with supervised method outper- forms existing label-based approaches, achieving both the highest accuracy and computational speed

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:07.425915Z

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Observation 184753a5-a550-4b5e-ade1-519cfaada2c3 · outbound

This paper cites Although the ground range differs in the MultiviewX dataset, the calculation method remains consistent across both datasets.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Although the ground range differs in the MultiviewX dataset, the calculation method remains consistent across both datasets

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:07.212790Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eed1bcea-b708-47bd-808d-4cefd91a5083 · outbound

This paper cites We define us as the homogenous pixel coordinate in source view vs, Ks is the source view camera intrinsic matrix.

DCHM: Depth-Consistent Human Modeling for Multiview Detection We define us as the homogenous pixel coordinate in source view vs, Ks is the source view camera intrinsic matrix

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:06.866312Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b95ff827-c4f4-4f2c-8f09-0037577260a8 · outbound

This paper cites an unresolved cited work.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:09:06.554577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba02c901-53bd-41d4-abe1-2dfd5b0515e0 · outbound

This paper cites Performance (%) of supervised methods on Wildtrack and MultiviewX.Our-Sup: our human modeling + supervised localization.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Performance (%) of supervised methods on Wildtrack and MultiviewX.Our-Sup: our human modeling + supervised localization

Reference 64

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T16:09:06.252284Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f198b27a-01e0-449e-9d2c-61a31b5258a5 · outbound

This paper cites While multiview detection compensation improves monoc- ular detection, its performance is highly dependent on the accuracy of depth estimation.

DCHM: Depth-Consistent Human Modeling for Multiview Detection While multiview detection compensation improves monoc- ular detection, its performance is highly dependent on the accuracy of depth estimation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:05.948098Z

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