Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation | Paper Citation Record

Observation d8166b7a-d9ba-4bac-a893-f10ed4538850 · outbound

This paper cites Multi- view object segmentation in space and time,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Multi- view object segmentation in space and time,

Reference 1

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Observation 7144611a-0b58-4d4b-a765-80a4f9507f8e · outbound

This paper cites Matnet: Motion- attentive transition network for zero-shot video object segmentation,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Matnet: Motion- attentive transition network for zero-shot video object segmentation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.559538Z

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Observation b031a2a0-119a-42ab-a1a4-1a00fda11836 · outbound

This paper cites Editable free-viewpoint video using a layered neural representation,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Editable free-viewpoint video using a layered neural representation,

Reference 3

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Observation 17c1680d-9936-465a-a57b-1dce5d813d74 · outbound

This paper cites Control-nerf: Editable feature volumes for scene rendering and ma- nipulation,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Control-nerf: Editable feature volumes for scene rendering and ma- nipulation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.540452Z

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Observation 016895db-1eb3-431d-8cc2-9e75f527883e · outbound

This paper cites Learning object-compositional neural radiance field for editable scene rendering,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Learning object-compositional neural radiance field for editable scene rendering,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.527184Z

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Observation e8834946-82e4-422a-ade3-1042ced9700b · outbound

This paper cites An overview of panoramic video projection schemes in the ieee 1857.9 standard for immersive visual content coding,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation An overview of panoramic video projection schemes in the ieee 1857.9 standard for immersive visual content coding,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.514105Z

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Observation d2107e2e-13c7-4d47-aad3-2a969c41be1f · outbound

This paper cites Mask r-cnn,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Mask r-cnn,

Reference 7

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Observation 4eac732c-9f2b-438c-a82b-3d885ab7842b · outbound

This paper cites Coarse-to-fine semantic segmentation from image-level labels,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Coarse-to-fine semantic segmentation from image-level labels,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.492306Z

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Observation 863f23d3-5448-49e9-94f9-7ff84caa056e · outbound

This paper cites Robust high-resolution video matting with temporal guidance,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Robust high-resolution video matting with temporal guidance,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.479704Z

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Observation fe9f527a-9e27-4922-8ca9-6bf270f489d4 · outbound

This paper cites Omnimatte: Associating objects and their effects in video,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Omnimatte: Associating objects and their effects in video,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.468558Z

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Observation c6a6071d-b926-480c-807e-c888eb6803d5 · outbound

This paper cites Layered Neural Rendering for Retiming People in Video.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Layered Neural Rendering for Retiming People in Video

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:34:48.957017Z

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Observation 816d5991-c083-4328-828a-3546082048c0 · outbound

This paper cites Towards linear-time incremental structure from motion,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Towards linear-time incremental structure from motion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.456382Z

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Observation 76fe245f-6800-4114-a063-a3979d17a747 · outbound

This paper cites Joint multi-layer segmentation and reconstruction for free-viewpoint video applications,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Joint multi-layer segmentation and reconstruction for free-viewpoint video applications,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.444108Z

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Observation f739b963-ca99-4056-9fe2-9021bf66800f · outbound

This paper cites A system for the notation of proxemic behavior,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation A system for the notation of proxemic behavior,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.431596Z

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Observation 9369c74e-f844-4bed-be28-052c5982a3da · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 15

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Observation 5fe3c7cc-f675-4385-a49e-59fa80a86110 · outbound

This paper cites Neural sparse voxel fields,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Neural sparse voxel fields,

Reference 16

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Observation 05c05103-2691-405c-a13c-b843c3411bf7 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Instant neural graphics primitives with a multiresolution hash encoding,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T19:34:48.654738Z

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Observation 65c37bc0-337a-488b-bacf-817255e70342 · outbound

This paper cites Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.398615Z

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Observation aa5091b7-2d64-432a-bb2c-2907d017bdb4 · outbound

This paper cites Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,

Reference 19

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Observation 94ddcb4f-42cc-44a0-baaa-1a27a7df18f9 · outbound

This paper cites NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Reference 20

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Observation 96c6b273-c6d6-4b8c-b097-cd0b9aa7f29f · outbound

This paper cites In-place scene labelling and understanding with implicit scene representation,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation In-place scene labelling and understanding with implicit scene representation,

Reference 21

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Observation b4e8adf2-e4c3-4069-9dbf-c1849279e8d0 · outbound

This paper cites Fast learn- ing radiance fields by shooting much fewer rays,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Fast learn- ing radiance fields by shooting much fewer rays,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.373466Z

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Observation d42db388-806e-4a51-9485-b1bbf972f1e9 · outbound

This paper cites Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.361485Z

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Observation f72159da-d226-441d-b585-13b7102625a3 · outbound

This paper cites V olume rendering of neural implicit surfaces,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation V olume rendering of neural implicit surfaces,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.347947Z

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Observation 8c7f78fb-e9c1-491b-9f22-fd5cbeb06a08 · outbound

This paper cites Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T19:34:48.692782Z

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Observation 3df40229-b25b-4417-951c-8c2243c5fa70 · outbound

This paper cites Blendedmvs: A large-scale dataset for generalized multi-view stereo networks,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Blendedmvs: A large-scale dataset for generalized multi-view stereo networks,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T19:34:48.698783Z

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Observation 4f390eee-4f29-4d03-aa2c-cba4467e445a · outbound

This paper cites Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.319147Z

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Observation 68841516-48e0-49d1-aaf8-9f679e87aff2 · outbound

This paper cites A benchmark for the evaluation of rgb-d slam systems,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation A benchmark for the evaluation of rgb-d slam systems,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.306065Z

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Observation 7647a5e9-f00c-4670-95e8-95b378fbe814 · outbound

This paper cites Consistent video depth estimation,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Consistent video depth estimation,

Reference 29

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Observation aea41d1a-442f-42a5-92d1-b68774c82fa1 · outbound

This paper cites Structure-from-motion revisited,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Structure-from-motion revisited,

Reference 30

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Observation 87d45576-8304-4354-a319-cf2fb743cc73 · outbound

This paper cites Pointrend: Image segmen- tation as rendering,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Pointrend: Image segmen- tation as rendering,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T19:34:48.726503Z

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Observation 88980edf-aa41-4900-9ca1-b43d63a69a5b · outbound

This paper cites Segment Anything.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Segment Anything

Reference 32

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Observation fc6615af-d106-4b04-9edb-4e937bfe0118 · outbound

This paper cites Motion guided attention for video salient object detection,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Motion guided attention for video salient object detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.271838Z

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Observation 31b7466f-9fdf-4e10-884f-a25cda3ef83b · outbound

This paper cites Cmsalgan: Rgb-d salient object detection with cross-view generative adversarial networks,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Cmsalgan: Rgb-d salient object detection with cross-view generative adversarial networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.260076Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b17ba143-cc85-4692-bc16-86f201dbfda0 · outbound

This paper cites Target-aware object discovery and association for unsupervised video multi-object segmentation,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Target-aware object discovery and association for unsupervised video multi-object segmentation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.247688Z

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Observation 4c87d522-9978-452a-8637-3e4b88684875 · outbound

This paper cites Un- supervised online video object segmentation with motion property understanding,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Un- supervised online video object segmentation with motion property understanding,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.234957Z

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Observation 2454c665-39b2-450e-8c40-4f9d514f628a · outbound

This paper cites Compositing digital images,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Compositing digital images,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.223092Z

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Observation eeec8c97-3a55-4dbc-ba0b-049b29d951e3 · outbound

This paper cites A hierarchical image matting model for blood vessel segmentation in fundus images,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation A hierarchical image matting model for blood vessel segmentation in fundus images,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.211073Z

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Observation 9ea91c4b-42f7-4df0-9a88-ef1171743212 · outbound

This paper cites User-guided deep human image matting using arbitrary trimaps,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation User-guided deep human image matting using arbitrary trimaps,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T19:34:48.772133Z

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Observation 2d62c69a-ee6e-47cc-84c8-4c21a54d4f65 · outbound

This paper cites Poisson matting,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Poisson matting,

Reference 40

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Source-reported events for the cited work

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Observation ee52e356-36c7-42e4-a6e0-ec75368f8c66 · outbound

This paper cites Real-time high-resolution background matting,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Real-time high-resolution background matting,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T19:34:48.779759Z

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Observation 2886c758-965c-45f9-8ea8-19cbd8fab114 · outbound

This paper cites Layered neural atlases for consistent video editing,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Layered neural atlases for consistent video editing,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.176570Z

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Observation 969f7ce4-e45e-453a-9e9e-263a942ecb38 · outbound

This paper cites Cyclesegnet: Object co- segmentation with cycle refinement and region correspondence,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Cyclesegnet: Object co- segmentation with cycle refinement and region correspondence,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.164657Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2f966882-f066-4080-b6b9-499d5e1f3270 · outbound

This paper cites Deep-dense conditional random fields for object co-segmentation,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Deep-dense conditional random fields for object co-segmentation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.152806Z

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Observation 6fd5d5b2-d0da-477b-9a91-5a692fd9efac · outbound

This paper cites Deep object co-segmentation,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Deep object co-segmentation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.140431Z

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Observation c5980d3b-bcbd-4c22-b4c7-9ce6100791d3 · outbound

This paper cites Semantic aware attention based deep object co-segmentation,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Semantic aware attention based deep object co-segmentation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.126927Z

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Observation ed917cb5-7e74-4cfa-93ef-19968c800fc9 · outbound

This paper cites Deep ViT Features as Dense Visual Descriptors.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Deep ViT Features as Dense Visual Descriptors

Reference 47

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Observation 3da1022b-0202-4457-a9d1-a0820e9244aa · outbound

This paper cites 3-d model-based segmentation of videoconference image sequences,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation 3-d model-based segmentation of videoconference image sequences,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.112149Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5b8ac6b8-2a9a-432a-960a-fc538efbd422 · outbound

This paper cites Background estimation and removal based on range and color,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Background estimation and removal based on range and color,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.099618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 00c1c660-15af-4a59-a31f-5ff9e29814cf · outbound

This paper cites Silhouette extraction from multiple images of an unknown background,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Silhouette extraction from multiple images of an unknown background,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.087090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation da9e4a84-aad0-45b5-b39f-5815b980ffc2 · outbound

This paper cites Silhouette segmentation in multiple views,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Silhouette segmentation in multiple views,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.074501Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2be8fd9a-abcf-40f8-b868-16678a64c6c2 · outbound

This paper cites NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T19:34:48.832037Z

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Observation 5f1f126b-1a10-4612-b3b5-3486b71da001 · outbound

This paper cites Unsupervised multi- view object segmentation using radiance field propagation,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Unsupervised multi- view object segmentation using radiance field propagation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:49.062154Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d0b31086-9bbc-4170-b89c-61aa530ade97 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T19:34:48.840941Z

Source-reported events for the cited work

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Observation c120ac3e-9893-41b4-b991-de277b47f79b · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Occupancy networks: Learning 3d reconstruction in function space,

Reference 55

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This paper cites Deepsdf: Learning continuous signed distance functions for shape rep- resentation,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Deepsdf: Learning continuous signed distance functions for shape rep- resentation,

Reference 56

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This paper cites Implicit geometric regularization for learning shapes,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Implicit geometric regularization for learning shapes,

Reference 57

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Observation 454f4d88-9e27-4b30-b4bc-405777ad0eab · outbound

This paper cites Sparseneus: Fast generalizable neural surface reconstruction from sparse views,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Sparseneus: Fast generalizable neural surface reconstruction from sparse views,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:48.993575Z

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This paper cites Information-theoretic segmentation by inpainting error maximization,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Information-theoretic segmentation by inpainting error maximization,

Reference 59

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This paper cites Free view synthesis,.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Free view synthesis,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:34:48.970288Z

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