C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs | Paper Citation Record

Observation 1a7226eb-bcf5-41bc-86e6-f19a2f86e579 · outbound

This paper cites Multi-view stereo: A tutorial,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Multi-view stereo: A tutorial,

Reference 1

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Observation e5105158-b5fd-4c32-9c65-c5a78b5ec35b · outbound

This paper cites Multiview imaging and 3dtv,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Multiview imaging and 3dtv,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.475155Z

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Observation 3ea7ac52-00ea-42b2-9f2f-5f3a580177ed · outbound

This paper cites Lifting multi- view detection and tracking to the bird’s eye view,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Lifting multi- view detection and tracking to the bird’s eye view,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.460298Z

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Observation 47e9f2fd-d8cb-4865-8301-fbe1147333ad · outbound

This paper cites For 3d laparoscopy: a step toward advanced surgical navigation: how to get maximum benefit from 3d vision,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs For 3d laparoscopy: a step toward advanced surgical navigation: how to get maximum benefit from 3d vision,

Reference 4

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Observation 4b63f1be-26bf-4f1c-a4ca-33f8c280c6a1 · outbound

This paper cites The slam problem: a survey,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs The slam problem: a survey,

Reference 5

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Observation 3f529a59-a77b-488a-801e-0eba72acf92e · outbound

This paper cites A survey of feature matching methods,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs A survey of feature matching methods,

Reference 6

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Observation 9fffd7c4-9e79-4a55-8a38-5e877fe0eeb9 · outbound

This paper cites Szeliski, Computer vision: algorithms and applications.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Szeliski, Computer vision: algorithms and applications

Reference 7

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Observation 31cc3a82-97ca-4edc-8cec-1bdfad09ebe8 · outbound

This paper cites View-centric multi-object tracking with homographic matching in moving uav,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs View-centric multi-object tracking with homographic matching in moving uav,

Reference 8

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Observation c96d83a6-0a69-4919-a8eb-28112a1efc04 · outbound

This paper cites Collaborative association network for multi-view multi-human association and tracking using constraint optimization and object search,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Collaborative association network for multi-view multi-human association and tracking using constraint optimization and object search,

Reference 9

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Observation 9d92071a-29aa-4702-b3fb-9058ed147364 · outbound

This paper cites Adaptive multi-view and temporal fusing transformer for 3d human pose estimation,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Adaptive multi-view and temporal fusing transformer for 3d human pose estimation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.372831Z

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Observation d4c4db18-12bc-4050-8c6e-72dd9e867e20 · outbound

This paper cites Direct multi-view multi- person 3d pose estimation,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Direct multi-view multi- person 3d pose estimation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.357461Z

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Observation 3fe31050-07fd-49d2-a9a8-e65694a27ac6 · outbound

This paper cites Efficient hierar- chical multi-view fusion transformer for 3d human pose estimation,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Efficient hierar- chical multi-view fusion transformer for 3d human pose estimation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.340248Z

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Observation c8842579-035d-4de3-8ff7-3fc62c56dc3d · outbound

This paper cites Ppt: token-pruned pose transformer for monocular and multi-view human pose estimation,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Ppt: token-pruned pose transformer for monocular and multi-view human pose estimation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.324941Z

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Observation ce4f0231-d61a-426c-8b9a-9e06873fdd05 · outbound

This paper cites Adafuse: Adaptive multiview fusion for accurate human pose estimation in the wild,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Adafuse: Adaptive multiview fusion for accurate human pose estimation in the wild,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.309831Z

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Observation 4051200c-a259-4f7e-92e8-57a0af964a94 · outbound

This paper cites Towards discriminative representation: Multi- view trajectory contrastive learning for online multi-object tracking,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Towards discriminative representation: Multi- view trajectory contrastive learning for online multi-object tracking,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.289553Z

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Observation 6ddc628c-f1e2-440d-9bc4-2597c43cecc0 · outbound

This paper cites Shape-aware multi- person pose estimation from multi-view images,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Shape-aware multi- person pose estimation from multi-view images,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.270702Z

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Observation f332b900-fa41-43ee-9fda-ace71549c0c3 · outbound

This paper cites Messytable: Instance association in multiple camera views,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Messytable: Instance association in multiple camera views,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.253958Z

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Observation 97532b48-5b2f-4d1c-a273-950079b1dffe · outbound

This paper cites Fast and robust multi-person 3d pose estimation from multiple views,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Fast and robust multi-person 3d pose estimation from multiple views,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.235316Z

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Observation d5e540de-3f7d-48a1-b3f8-408509510eee · outbound

This paper cites Near-Optimal Joint Object Matching via Convex Relaxation.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Near-Optimal Joint Object Matching via Convex Relaxation

Reference 19

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Observation a45d807d-3d90-4536-a542-8ede4b53d4c8 · outbound

This paper cites Clear: A consistent lifting, embedding, and alignment rectification algorithm for multiview data association,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Clear: A consistent lifting, embedding, and alignment rectification algorithm for multiview data association,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.218331Z

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Observation 2d6ef73f-972e-4ccc-b7b0-2d85a99785e7 · outbound

This paper cites Fast, accurate and memory-efficient partial permutation synchronization,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Fast, accurate and memory-efficient partial permutation synchronization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.202662Z

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Observation 85bf0f82-318f-4284-a71e-9035d5007630 · outbound

This paper cites Factorized graph matching,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Factorized graph matching,

Reference 22

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Observation 933e8732-4954-440c-8cd8-023c77b2425a · outbound

This paper cites Towards optimizing large-scale multi-graph matching in bioimaging,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Towards optimizing large-scale multi-graph matching in bioimaging,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.165630Z

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Observation 90b9587d-d73f-44d8-867c-893f91403aef · outbound

This paper cites Large-scale multi-view spectral clustering via bipartite graph,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Large-scale multi-view spectral clustering via bipartite graph,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.148191Z

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Observation c71165c5-6236-4a87-bd0d-a2a8a0da71c6 · outbound

This paper cites A greedy algorithm for neighborhood overlap-based community detection,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs A greedy algorithm for neighborhood overlap-based community detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.130330Z

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Observation bbc54640-801c-4b23-a020-1d24f074687c · outbound

This paper cites C ¸ etinkaya-Rundel and J.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs C ¸ etinkaya-Rundel and J

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.113784Z

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Observation ce93f034-797a-41e8-b0d9-444f233c68f9 · outbound

This paper cites Orb: An efficient alternative to sift or surf,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Orb: An efficient alternative to sift or surf,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.097219Z

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Observation 899d37f9-4bf5-4ea0-bd50-b6813d41e31e · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 28

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Observation ccbb770f-7e8a-41d2-b6f2-deb5c39a5a42 · outbound

This paper cites Superpoint: Self- supervised interest point detection and description,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Superpoint: Self- supervised interest point detection and description,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.069107Z

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Observation 9e778ea4-dafd-4169-972d-0dd310576950 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Superglue: Learning feature matching with graph neural networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.052133Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d0b8804-86b7-41ab-8e67-f5c1a9b9d577 · outbound

This paper cites Clus- tergnn: Cluster-based coarse-to-fine graph neural network for efficient feature matching,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Clus- tergnn: Cluster-based coarse-to-fine graph neural network for efficient feature matching,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:53.031756Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e95dc5a0-a5a9-43cd-9973-d494ed1e87c4 · outbound

This paper cites Comatcher: Multi-view collaborative feature matching,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Comatcher: Multi-view collaborative feature matching,

Reference 32

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Observation 75bd4a16-3fd7-41fb-9585-e6944dec3f03 · outbound

This paper cites End2end multi-view feature matching with differentiable pose optimization,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs End2end multi-view feature matching with differentiable pose optimization,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.995127Z

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Observation f69c423c-c120-4b82-8923-7c931e052556 · outbound

This paper cites Practical and efficient multi- view matching,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Practical and efficient multi- view matching,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.978636Z

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Observation 8a493009-3848-489d-bb44-440147b3ac06 · outbound

This paper cites Unpaired multi-view graph clustering with cross-view structure match- ing,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Unpaired multi-view graph clustering with cross-view structure match- ing,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.963899Z

Source-reported events for the cited work

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Observation 4b75221c-1bf0-4b80-b3a1-6935cdad42f6 · outbound

This paper cites Attention is all you need,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Attention is all you need,

Reference 36

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Observation 20c2e9e0-e9f9-4ab4-95f4-430f9051aa76 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T16:15:49.621441Z

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Observation d38edda4-369c-4ea8-8aaa-049a96042e63 · outbound

This paper cites The graph neural network model,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs The graph neural network model,

Reference 38

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Observation 9427ab15-3f92-4d6b-ace2-abda3d2e2349 · outbound

This paper cites A comprehensive survey on graph neural networks,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs A comprehensive survey on graph neural networks,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T16:15:49.957873Z

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Observation 8749f035-e9e5-40ea-b5b3-9291fd1d10dd · outbound

This paper cites Graph- based 3d multi-person pose estimation using multi-view images,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Graph- based 3d multi-person pose estimation using multi-view images,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.918490Z

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Observation 03af0fb5-9bc0-468f-b42e-8018c01ae844 · outbound

This paper cites Graph neural networks for cross-camera data association,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Graph neural networks for cross-camera data association,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.902489Z

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Observation 25dbcd83-6c0d-4292-90f0-a66191f42049 · outbound

This paper cites Multi-person 3d pose estimation from unlabelled data,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Multi-person 3d pose estimation from unlabelled data,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.886045Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c122fb6-2cd9-423d-aad5-888a6d63bf2f · outbound

This paper cites A noniterative greedy algorithm for multi- frame point correspondence,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs A noniterative greedy algorithm for multi- frame point correspondence,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.871031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ac4f56e-ffee-4654-9286-7a0fcb43ab12 · outbound

This paper cites Wide baseline feature matching using the cross-epipolar ordering constraint,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Wide baseline feature matching using the cross-epipolar ordering constraint,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.854675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 11a0b9eb-4a11-45ca-901f-a634be515f4d · outbound

This paper cites Multi-camera scene reconstruction via graph cuts,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Multi-camera scene reconstruction via graph cuts,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.837422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 523754e2-8739-444f-9cb7-dfebf4812786 · outbound

This paper cites Multi-view stereo via vol- umetric graph-cuts,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Multi-view stereo via vol- umetric graph-cuts,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.821782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d860826-8a0f-477d-aa1b-58ca29cdd03a · outbound

This paper cites Solving the multi-way matching problem by permutation synchronization,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Solving the multi-way matching problem by permutation synchronization,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.806470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 49006556-b47c-4c79-99dc-5bb30d8fa359 · outbound

This paper cites Multi-graph matching via affinity optimization with graduated consistency regularization,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Multi-graph matching via affinity optimization with graduated consistency regularization,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.791320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d552f5fb-be41-4b24-ba92-b1717250e06a · outbound

This paper cites A convex relaxation for multi-graph matching,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs A convex relaxation for multi-graph matching,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.776984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8c2ac08-87cf-4e0a-80de-1ee740807806 · outbound

This paper cites Robust bundle adjustment revisited,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Robust bundle adjustment revisited,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.762077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8a150a4-3a60-428c-94a1-8a156dfd67ea · outbound

This paper cites RKHS-BA: A Robust Correspondence-Free Multi-View Registration Framework with Semantic Point Clouds.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs RKHS-BA: A Robust Correspondence-Free Multi-View Registration Framework with Semantic Point Clouds

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:15:52.423937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2039a7f5-7073-49b6-8b9c-8509bd43d058 · outbound

This paper cites On spectral clustering: Analysis and an algorithm,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs On spectral clustering: Analysis and an algorithm,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.746417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 65f27a98-d552-4fd9-bb28-d19931b01fa6 · outbound

This paper cites A clustering method for efficient segmentation of 3d laser data,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs A clustering method for efficient segmentation of 3d laser data,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.730271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 079270a3-e08b-4f6f-be11-29f223e4677c · outbound

This paper cites Realtime multi-person 2d pose estimation using part affinity fields,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Realtime multi-person 2d pose estimation using part affinity fields,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.714433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19d0d368-2aea-4f3e-8414-906ff0ad24ce · outbound

This paper cites Hennig, M.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Hennig, M

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.698087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b42d5abb-33a5-4df6-b7f8-34773dea493b · outbound

This paper cites 3d pictorial structures for multiple human pose estimation,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs 3d pictorial structures for multiple human pose estimation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.681457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca5586dd-3708-491c-a52b-9643bf30d4b5 · outbound

This paper cites Panoptic studio: A massively multiview system for social motion capture,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Panoptic studio: A massively multiview system for social motion capture,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.664054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df9ab197-e1b6-4de7-a442-df71b35a91b7 · outbound

This paper cites EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:15:52.247388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88080cdb-e10c-4157-ab9d-6c590727707b · outbound

This paper cites Easyvis: a real-time 3d visualization software system for laparoscopic surgery box trainer,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Easyvis: a real-time 3d visualization software system for laparoscopic surgery box trainer,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.647726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 35707c09-2557-4ae1-82ac-7cd83a2aa7d6 · outbound

This paper cites Openmvg: Open mul- tiple view geometry,.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs Openmvg: Open mul- tiple view geometry,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:52.631243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers