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Paper Citation Record · LEDGER

DCHM: Depth-Consistent Human Modeling for Multiview Detection

As of 8 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2507.14505.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.14505 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:09:04.604609Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

  • verified exact4
  • verified fuzzy45
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

This paper cites Slic superpixels.

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

Reference 1

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raw_fallback, observed 2026-08-06T16:09:18.171862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:58.367676Z digest=sha256:559b271f9809f9697f2b714ff79d4bcc0f5dd5544df11c26a28a23457d9c82dc

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:58.429228Z digest=sha256:24d16f096ad1acbee4b548269d26031223a1d5e5ddac7d02681d610a11660385

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:08:58.510807Z digest=sha256:6087f8a508f9825cde7df6dece98b2203fc67b1217c6fd8bbc150c381ee9115c

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:58.582351Z digest=sha256:f7879fc8d9b1d40bd14cb22339bbd561863484b4e241fef10d54f3852b6166d5

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:58.659745Z digest=sha256:901fa2452835a80ae4b13dc0206002f17ceda9250ba980a4388ef2eeb9093bb9

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:58.713194Z digest=sha256:8655bff6f9908d8581390584ee405aa2a2edd1c83a18d051d7afb35f66390f3f

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:58.789997Z digest=sha256:ff8d3412c6cae7ba72166517d9ca614d34a31924b2a215ce4030b59609200cf0

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

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source=pdf_text observed=2026-08-06T16:08:58.865043Z digest=sha256:3195cf68415b323df238fcf324840cf6c8681aebe894115bb9450f99de2d273e

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

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raw_fallback, observed 2026-08-06T16:09:17.617388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:58.939687Z digest=sha256:c4f052472d4d98a7cd4a92751297b853593b46c721355c05489506e50b37055f

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:59.016699Z digest=sha256:e593015c25eaa17ab8a689783bd8dcc53151575fb8efdb00b6ceaabe0e44dd3b

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:59.019998Z digest=sha256:3d93bc3948131ad69f16e88ad543ea2cc4cb4b984370da8fa7a7e0913462ae18

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:59.023987Z digest=sha256:1e1195fe2ac3390232d344f3b79bb2dbd33f19995b0848b8619c7a01ecf64952

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:59.105339Z digest=sha256:13ebe0af1c3451d12bdeb9d79eb447478ad39261d6a15183fa39a4fe275bfa8e

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:59.193807Z digest=sha256:954ff7d675f6f3f22e1046ec59d4b2aca35b9340a1ee2363476f58cdc1687138

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:08:59.312379Z digest=sha256:7ed8adb26a4260329f55730297b5c88756cdda7e1b12be482092eb97efc1934b

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

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source=pdf_text observed=2026-08-06T16:08:59.444791Z digest=sha256:8dfb89e5020f1ea820826c21219fea7bd1e2addc46dfe6515577211720363cea

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:59.564843Z digest=sha256:d98cf00c7868f44a04115e8ea93bf4b7743d16f170b2d5dce89a1b1607896a59

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

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source=pdf_text observed=2026-08-06T16:08:59.669813Z digest=sha256:0aaf0f4025c9c6d699ea2965975312fd0c18503770d3a377e9aee7777f3eda3e

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

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source=pdf_text observed=2026-08-06T16:08:59.781530Z digest=sha256:3a8de0a9e2bfed89026d04ed74d106f7210bacacb5b14da5d80a98bf31b69380

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

This paper cites Segment anything.

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

Reference 20

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raw_fallback, observed 2026-08-06T16:09:16.026768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:08:59.877813Z digest=sha256:30aa52ce105c83a1034601ad69f9d321aa78f83b53ff6d68350cf9f7622d4744

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:00.006299Z digest=sha256:b5103cfbe09f36571f4ee7534872e1de3c2cb3737b765bc16521afd05ab9643e

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:00.167147Z digest=sha256:6fef893113091ab2316fe7b0573663654f7e0cf4cac72333704913e55620d238

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:09:00.333550Z digest=sha256:486090f06182eec27f2db7c9390ce8ed71d5e29e28162a84626a16d2c7082ac4

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

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source=pdf_text observed=2026-08-06T16:09:00.444298Z digest=sha256:47379ae2347db8e70a3fa4173acafd7af9bbb5bf6298debbd56a52f416b60953

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:00.604956Z digest=sha256:2ef8e51bcc9ab7d411d9023baa9f93acb02bfb40113eceb722cdcd1ed38247b7

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:00.739381Z digest=sha256:22e83ad0dab07604ff975c85eaef9553ccc6a7051e429b98e1bddebcf6289f63

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:00.851648Z digest=sha256:853e87023204bacabc9d7029275e2e8cbf0303326f93cf08e1c5879374a78fa9

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:00.973185Z digest=sha256:10958f51f6c247250c464affa3127e9d6ba7334c685d774881c3fc6556c8a803

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:01.092864Z digest=sha256:4b721c22068ff7518ef845e31bafc0a6c4cdc3fc76117d77509e20875aece706

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:01.219000Z digest=sha256:5184d31e38b540a735297d860086495cbd520871de114b4d496d28b14e94aa13

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:01.311716Z digest=sha256:07d80c3895c665c9155caaffa1ded66ddce4015d221e62f4576637618a072f93

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:09:01.419630Z digest=sha256:757cf55ce19aeff16cf9e27e2a369128c81b029326022119cc89f7a4d931f63a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:01.520223Z digest=sha256:cc012380abbf87c5441dd2452f6257101b69a55e5f81a55c304c5e4631e8d259

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:01.626576Z digest=sha256:48d82d31b57489255aef44d281a28f9a775752af18a9c137856860e99c2c4807

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:01.735792Z digest=sha256:57290bfd75f7c44bc9e0337dc79e726e3b11c53fb76829671bf1a8875c350856

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:01.825662Z digest=sha256:7f5a5431010a5e0cdf08744386b8cf24756a64857696c63697bac47f2ca73d53

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:01.953656Z digest=sha256:e928539fb49057fb777819c9479d4a4d254ec5868b8952637603086b29fce6fc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:02.015979Z digest=sha256:1ed0b828ceddc6ecf0312973c26883cac9b0ec5b7b6cc0140e45809e44463998

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:02.110537Z digest=sha256:d2de2de8382f9993a19d3af0aa01d98add1bf36be2374da32b9bd007c58ab9c6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:02.257474Z digest=sha256:e2f7879ef0c24afe578c7c2a228f768f7e4c6413fc5d773e0c7b2124cfca5873

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:02.370242Z digest=sha256:fc4a51077c6e6f30a4d5053747c9fc925528662d5c5b0d090d4076acf46ed208

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:02.476578Z digest=sha256:d95347a20c739119aa7d540c27247004a787c059636dd44577af076e7f9d4e54

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.

source=pdf_text observed=2026-08-06T16:09:02.574346Z digest=sha256:430829c4c14a41e67e945d254c9afe00bdf485ad25dbce4417ce15d04490db88

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:02.664275Z digest=sha256:5b60508c1d5dcf959dc6ab94b8c95109bba07784d169bb7a14fc77acebc3ab87

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:02.780038Z digest=sha256:43e4c8cf95078cecf0e94ae517132f1d601a926cef8b112fa7d4fe27bde85237

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.

source=pdf_text observed=2026-08-06T16:09:02.888618Z digest=sha256:a65055b2cb817af085d1ea42f4990669aed4a2e9f9ba65e0283122b4d9b1fc54

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:03.000783Z digest=sha256:282a830f494e2220e88a318257a5ce212495f900e8c30600cb6ea30532732887

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:03.083008Z digest=sha256:7d5e04d54f05755070663bc2e0a81a5a34cca839ef9c24788606f25080a951ce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:03.180928Z digest=sha256:a699ffa7f783b3d7c1776f4f19f0b2869a5118ba47d14b513a1ee2fc34846997

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.

source=pdf_text observed=2026-08-06T16:09:03.241848Z digest=sha256:e62adf1803354576ab0d6c54fb63ff0fba857476939b9e381e6d8a17ebe7e14b

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.

source=pdf_text observed=2026-08-06T16:09:03.350433Z digest=sha256:49d27ed45cb39a4c709c6e0808f517a876be493eea8bed9091ff04edb05e8c69

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:03.465194Z digest=sha256:edd6c26a4fd2ab16d4bb781f7766398c06b338a4999b39987f0b1a2104b9c2db

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:03.577824Z digest=sha256:ba37c045e70f78d0465e36b23e05f4c5c3a3ebebeabcb8115b00bdd5a1821836

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:03.669588Z digest=sha256:889f80fe424b633cba05b94f1e6038006ea0c2fe0061b70779a9d1f66698138b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:03.764144Z digest=sha256:b685910638b2462e3ffd8914214d039ef7d32d197c767416324ef774639f2b8f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:03.838485Z digest=sha256:ea29c035299a994b4c7d87031e33141924b298dfd27e9d55287be405990b85b7

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:03.926218Z digest=sha256:c054be17b121ef68b131499ea6a1a7ef29deeaa20778946c83407bf80e631326

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:04.025512Z digest=sha256:9615dd012d5976b26e507574abbc5871c5e72c15dc04e43c7b1666c8628d0899

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:04.089555Z digest=sha256:aadc428680308e10425eb626195b3e0853c3d93abf7f6b7e4dc9d14f3ae13155

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:04.121613Z digest=sha256:48ab1c7c26f2f3a2df7eb84a43e24bcdc960fbf2df9c0019dc5023c9492bbc24

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:04.186097Z digest=sha256:9c58cf4a8b8ee3f2569ba2a8b3a12f6762899d911f944a656cc1e61e922f35da

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:04.279080Z digest=sha256:77679f5dacce945615ca347a581c1a7deb55df67b159e0faa61a5343d0c4b8c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:04.401525Z digest=sha256:497d072a1467f9a28e054467f55c5f8d085376ab53d8d82f3f7c58a547262cab

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:04.472229Z digest=sha256:8472e71b0efc4938f83ec5a02f747ad051add536b83aa102d230464f9c71e804

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:09:04.604609Z digest=sha256:2ac3cf38a944553b6b8200adeda5b2c4b215c32304f45641d062d4d8c2fd1224

Pith citing papers

No inbound Pith citation observations are available.