Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition | Paper Citation Record

Observation cc0b7c27-84ac-4b2a-b15d-9bbeea60e60b · outbound

This paper cites Pointgl: a simple global-local framework for efficient point cloud analysis,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Pointgl: a simple global-local framework for efficient point cloud analysis,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:27.261098Z

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Observation 548b32f2-2069-4bcd-8f24-5d6992ea73de · outbound

This paper cites Domain adaptive lidar point cloud segmentation with 3d spatial consistency,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Domain adaptive lidar point cloud segmentation with 3d spatial consistency,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:27.026182Z

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Observation 844a5363-631d-4b01-ae6d-b50ca8a52a65 · outbound

This paper cites Cmnet: Component-aware matching network for few-shot point cloud classification,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Cmnet: Component-aware matching network for few-shot point cloud classification,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:26.811644Z

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Observation bb10c673-4be9-4d44-a259-954f2ab0f463 · outbound

This paper cites Geometric back-projection net- work for point cloud classification,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Geometric back-projection net- work for point cloud classification,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:26.589710Z

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Observation 9e8f50b3-60c0-4ce3-8f76-9db7ac8f3f95 · outbound

This paper cites Cattrack: Single-stage category-level 6d object pose tracking via convolution and vision trans- former,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Cattrack: Single-stage category-level 6d object pose tracking via convolution and vision trans- former,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:26.363481Z

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Observation 7bee216c-90b6-431f-81a0-7167bc6a5cea · outbound

This paper cites Real-time 3d single object tracking with transformer,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Real-time 3d single object tracking with transformer,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:26.200530Z

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Observation f2210454-2157-4014-a1d8-bb9a2a52c95d · outbound

This paper cites Vpfnet: Improving 3d object detection with virtual point based lidar and stereo data fusion,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Vpfnet: Improving 3d object detection with virtual point based lidar and stereo data fusion,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:26.060328Z

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Observation 66ad901d-c96d-43f5-946c-46c1acec2962 · outbound

This paper cites Centertube: Tracking multiple 3d objects with 4d tubelets in dynamic point clouds,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Centertube: Tracking multiple 3d objects with 4d tubelets in dynamic point clouds,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:25.872404Z

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Observation d3be67cf-5e6a-40a8-bdea-b114cc83216d · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition ShapeNet: An Information-Rich 3D Model Repository

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:12.612637Z

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Observation 61b1fa94-cdf2-496a-8022-3c57ecfc7755 · outbound

This paper cites Modelnet: Towards a datacenter emulation environment,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Modelnet: Towards a datacenter emulation environment,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:25.707950Z

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Observation eb980a1f-bea8-4150-9d01-3d06f5f65274 · outbound

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

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:25.545059Z

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Observation dabcbed9-9736-4c00-9181-d59976e995d0 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:25.386608Z

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Observation f15ba3f5-6371-4cea-8ac0-aea0a120ca9c · outbound

This paper cites Dynamic graph cnn for learning on point clouds,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Dynamic graph cnn for learning on point clouds,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:12.857975Z

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Observation cbd67f1e-1662-4400-a4e1-e036370cf165 · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Kpconv: Flexible and deformable convolution for point clouds,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:25.178335Z

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Observation 2a5a90bc-7605-478c-a27d-b7975fbc9aa6 · outbound

This paper cites Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:25.037025Z

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Observation 4da61464-6856-45c8-900c-0f2d5716a3b3 · outbound

This paper cites Pct: Point cloud transformer,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Pct: Point cloud transformer,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:24.855323Z

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Observation 0005035a-2985-405e-aeb9-3170207f8ca0 · outbound

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

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:24.707183Z

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Observation e8c84856-a2ba-4fdb-b7ee-f234bf7b8aad · outbound

This paper cites Modeling point clouds with self-attention and gumbel subset sampling,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Modeling point clouds with self-attention and gumbel subset sampling,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:24.560291Z

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Observation bb30d762-f2fd-4683-b683-0d3ae4f401b2 · outbound

This paper cites So-net: Self-organizing network for point cloud analysis,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition So-net: Self-organizing network for point cloud analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:24.425638Z

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Observation ae0a7c5b-a044-4c20-97f3-4e831071371a · outbound

This paper cites Spherical CNNs.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Spherical CNNs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:13.370394Z

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Observation 1a860c81-fa7e-4aaa-b1cb-3283dfb1f0f1 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Scannet: Richly-annotated 3d reconstructions of indoor scenes,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:24.244725Z

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Observation 384498bb-715c-4b21-899e-3488001b8df9 · outbound

This paper cites Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:24.089249Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4eff495e-9870-415e-98c9-a54186734718 · outbound

This paper cites Classification of Single-View Object Point Clouds.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Classification of Single-View Object Point Clouds

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:40:16.755696Z

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Observation e5d17a86-8a73-481c-b08d-0c528607eb3b · outbound

This paper cites Transferable representation learning with deep adaptation networks,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Transferable representation learning with deep adaptation networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:23.917490Z

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Observation 7165b06c-f5ef-4df2-9ae3-d941ce9e284d · outbound

This paper cites Contrastive adaptation network for unsupervised domain adaptation,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Contrastive adaptation network for unsupervised domain adaptation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:23.775635Z

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Observation 0fcc04d0-68dd-4c32-9099-141876112885 · outbound

This paper cites Domain-adversarial training of neural networks,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Domain-adversarial training of neural networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:23.563598Z

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Observation b50c610e-b6c3-4d1e-b05c-93b6a3a8bfff · outbound

This paper cites Maximum classi- fier discrepancy for unsupervised domain adaptation,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Maximum classi- fier discrepancy for unsupervised domain adaptation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:23.381807Z

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Observation 9b879fb1-cac9-48fe-be00-afde7368554c · outbound

This paper cites Learning semantic represen- tations for unsupervised domain adaptation,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Learning semantic represen- tations for unsupervised domain adaptation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:23.204469Z

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Observation 95b74172-be41-4653-8a2a-f6fc90f5b69e · outbound

This paper cites Transferrable prototypical networks for unsupervised domain adaptation,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Transferrable prototypical networks for unsupervised domain adaptation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:23.063892Z

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Observation 1a15455e-95c1-4e33-9621-7aefd4a85e71 · outbound

This paper cites Pointdan: A multi- scale 3d domain adaption network for point cloud representation,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Pointdan: A multi- scale 3d domain adaption network for point cloud representation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:22.889171Z

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Observation 27fb54b7-0027-431a-890c-01407a4211ba · outbound

This paper cites Self-supervised learning for domain adaptation on point clouds,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Self-supervised learning for domain adaptation on point clouds,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:22.669872Z

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Observation df525966-e617-4838-bd76-68fcdaf1c3e3 · outbound

This paper cites Geometry-aware self-training for unsupervised domain adaptation on object point clouds,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Geometry-aware self-training for unsupervised domain adaptation on object point clouds,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:22.436984Z

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Observation 9525e514-da8b-4f3c-ac1c-837dae9cc8c3 · outbound

This paper cites Domain adaptation on point clouds via geometry-aware implicits,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Domain adaptation on point clouds via geometry-aware implicits,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:22.267484Z

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Observation ed6d7315-9e2e-44cc-90be-acf0309b739b · outbound

This paper cites Self-supervised global-local structure modeling for point cloud domain adaptation with reliable voted pseudo labels,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Self-supervised global-local structure modeling for point cloud domain adaptation with reliable voted pseudo labels,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:22.075327Z

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Observation 84983c97-33c7-4af9-8efd-2fac2de57d30 · outbound

This paper cites Quasi-balanced self- training on noise-aware synthesis of object point clouds for closing domain gap,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Quasi-balanced self- training on noise-aware synthesis of object point clouds for closing domain gap,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:21.915221Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d53fa71-f09b-4d2e-b673-91afe2290038 · outbound

This paper cites Learning generalizable part-based feature representation for 3d point clouds,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Learning generalizable part-based feature representation for 3d point clouds,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:21.731981Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8af48e3-039b-48a6-9821-83b1cc86e47f · outbound

This paper cites Deep convolutional networks do not classify based on global object shape,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Deep convolutional networks do not classify based on global object shape,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:21.567162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 253ab114-b20c-4c9c-be84-783b94696cce · outbound

This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:14.278706Z

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Unavailable: canonical work link unavailable.

Observation 133ce065-794f-43cc-a6c8-1a1a47c6471f · outbound

This paper cites Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:21.368734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91c519a3-4cfc-4dec-b0d3-7b5467fb23f2 · outbound

This paper cites Parts of recognition,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Parts of recognition,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:21.169977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6602d9d-56ba-4ec3-aad3-6394e29d4109 · outbound

This paper cites Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:14.471404Z

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Unavailable: canonical work link unavailable.

Observation 0bfa8477-cb82-4e4a-a2ca-194690098a8e · outbound

This paper cites Reconstructing continuous distributions of 3D protein structure from cryo-EM images.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Reconstructing continuous distributions of 3D protein structure from cryo-EM images

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:14.523425Z

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Unavailable: canonical work link unavailable.

Observation 48aef62d-cc77-4c83-b23a-f5342ffd822b · outbound

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

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:14.570218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f45571a-d887-4ce3-829c-120c9259af2f · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Fourier features let networks learn high frequency functions in low dimensional domains,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:20.930210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 013a3643-7f1a-4ce8-8c39-f9ee54a14e21 · outbound

This paper cites Metasets: Meta- learning on point sets for generalizable representations,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Metasets: Meta- learning on point sets for generalizable representations,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:20.792390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c7c5b4f-aca5-4c62-a383-da5f35ca0b70 · outbound

This paper cites Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:40:16.577244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b25f1d6f-850d-4d7d-9164-8c121d0a3a51 · outbound

This paper cites Pointcnn: Convolution on x-transformed points,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Pointcnn: Convolution on x-transformed points,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:20.593645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec5c60ae-86d1-4b36-91d9-e0d2e21304e0 · outbound

This paper cites Clusternet: Deep hierarchical cluster network with rigorously rotation-invariant representation for point cloud analysis,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Clusternet: Deep hierarchical cluster network with rigorously rotation-invariant representation for point cloud analysis,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:20.395240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e3ca94a-88a2-4cd5-81cd-bddf4bd31286 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition mixup: Beyond Empirical Risk Minimization

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:14.909044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5489cba-c095-4d68-b793-198e1f889379 · outbound

This paper cites Manifold mixup: Better representations by interpolating hidden states,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Manifold mixup: Better representations by interpolating hidden states,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:20.217442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b020861c-9a2d-4eed-a984-5ff0c138668e · outbound

This paper cites Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:20.049257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 912478f7-fbcf-4a39-8cb0-71b240f05f38 · outbound

This paper cites Puzzle mix: Exploiting saliency and local statistics for optimal mixup,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Puzzle mix: Exploiting saliency and local statistics for optimal mixup,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:19.888006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 64e4ab9e-3f30-4ad9-849c-799499c23eff · outbound

This paper cites Pointmixup: Augmentation for point clouds,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Pointmixup: Augmentation for point clouds,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:19.643789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a491bb12-79d1-4957-a57c-00e100e8abf3 · outbound

This paper cites Pointaugment: an auto-augmentation framework for point cloud classification,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Pointaugment: an auto-augmentation framework for point cloud classification,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:19.334002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df171739-d884-4d19-bbe5-83127cf27260 · outbound

This paper cites Pointcutmix: Regularization strategy for point cloud classification,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Pointcutmix: Regularization strategy for point cloud classification,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:19.107631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd5c24c0-86f6-4aab-83a6-4f2527ea3b58 · outbound

This paper cites Interpolation consistency training for semi-supervised learning,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Interpolation consistency training for semi-supervised learning,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:18.883187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 516df53f-650b-42bb-9995-142cc52831f4 · outbound

This paper cites Vision GNN: An Image is Worth Graph of Nodes.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Vision GNN: An Image is Worth Graph of Nodes

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:15.339584Z

Source-reported events for the cited work

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Observation 5a88d55e-c80a-4c4c-acb2-e360b0a6217e · outbound

This paper cites Deepgcns: Can gcns go as deep as cnns?.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Deepgcns: Can gcns go as deep as cnns?

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:18.684625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eff60aaa-4123-48b1-9f20-65a88d2e5618 · outbound

This paper cites Learning cross-modal contrastive features for video domain adaptation,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Learning cross-modal contrastive features for video domain adaptation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:18.533338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e875492a-e50e-4328-a1bf-00bd2dcf6d96 · outbound

This paper cites Learning a nonlinear embedding by preserving class neighbourhood structure,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Learning a nonlinear embedding by preserving class neighbourhood structure,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:18.384090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a183bd87-23ed-417b-b67d-8395a39aa3e9 · outbound

This paper cites Improving generalization via scalable neighborhood component analysis,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Improving generalization via scalable neighborhood component analysis,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:18.184881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 551a2657-1aef-4002-8ae5-dda8983cf82b · outbound

This paper cites Supervised contrastive learn- ing,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Supervised contrastive learn- ing,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:15.649290Z

Source-reported events for the cited work

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Observation f4131a66-d8ce-4b1d-94ae-e06cfabf820d · outbound

This paper cites Graspnet-1billion: A large- scale benchmark for general object grasping,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Graspnet-1billion: A large- scale benchmark for general object grasping,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:17.989890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c4b82da-a00e-4d93-b0f7-3548f723b11c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Adam: A Method for Stochastic Optimization

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:15.746820Z

Source-reported events for the cited work

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Observation 7eb5b1a8-495e-4c93-a61f-0a493e3e5d82 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:15.802432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d8f9cb4-5fe8-4a93-bb7c-fdde0728ad33 · outbound

This paper cites Self-supervised deep learning on point clouds by reconstructing space,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Self-supervised deep learning on point clouds by reconstructing space,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:17.851877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96826355-0779-4c71-9c9c-a9ad065d7659 · outbound

This paper cites Self-distillation for unsupervised 3d domain adaptation,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Self-distillation for unsupervised 3d domain adaptation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:17.663888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f7fd202-4901-4eb8-afbd-29379fb2169e · outbound

This paper cites Domain adaptive sampling for cross- domain point cloud recognition,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Domain adaptive sampling for cross- domain point cloud recognition,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:17.496939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 230c9dd0-544c-43fb-872e-9f3ae61a2987 · outbound

This paper cites Synergizing contrastive learning and optimal transport for 3d point cloud domain adaptation,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Synergizing contrastive learning and optimal transport for 3d point cloud domain adaptation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:17.362673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b0bab5b-83c1-49c1-a287-a98f4ec3c07b · outbound

This paper cites A theory of learning from different domains,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition A theory of learning from different domains,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:17.169817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 28549a2c-7a88-4722-82f4-9cadd45fa681 · outbound

This paper cites Domain Adaptation: Learning Bounds and Algorithms.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Domain Adaptation: Learning Bounds and Algorithms

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:16.219111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e237d6f-674c-416f-93a2-db79659c0212 · outbound

This paper cites Pointcloud saliency maps,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Pointcloud saliency maps,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:17.033554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7ce22121-5c2b-4741-9d0c-1ae12d84e91d · outbound

This paper cites Visualizing data using t-sne,.

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition Visualizing data using t-sne,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:16.910365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference resolution

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