Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation | Paper Citation Record

Observation 44cec9f3-2f55-4dd1-946f-2731467497a5 · outbound

This paper cites Stem-seg: Spatio-temporal em- beddings for instance segmentation in videos.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Stem-seg: Spatio-temporal em- beddings for instance segmentation in videos

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.225576Z

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Observation 4aa3b6fc-8dfd-4296-950a-de684d2ad91e · outbound

This paper cites Is space-time attention all you need for video understanding? In International Conference on Machine Learning, 2021.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Is space-time attention all you need for video understanding? In International Conference on Machine Learning, 2021

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.215551Z

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Observation 4fd57a2b-e37a-4bd8-a81b-f11ca7fe49d5 · outbound

This paper cites MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:31.044998Z

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Observation f42aa1f6-bfb6-4184-b5cd-a5166450ac14 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:31.260099Z

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Observation 40888369-7740-4196-8a40-0ca91b09051e · outbound

This paper cites End-to- end object detection with transformers.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation End-to- end object detection with transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.205943Z

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Observation de672815-1933-4925-b478-5ca43aa28665 · outbound

This paper cites Liu, Yen-Cheng Liu, and Yu- Chiang Frank Wang.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Liu, Yen-Cheng Liu, and Yu- Chiang Frank Wang

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.195868Z

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Observation 883b2de5-6e7e-4ce7-82b9-f04d83ff57dc · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Vision Transformer Adapter for Dense Predictions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:31.571904Z

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Observation bee4c805-d516-4b99-a360-31bdf9138c91 · outbound

This paper cites Collins, Yukun Zhu, Ting Liu, Thomas S.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Collins, Yukun Zhu, Ting Liu, Thomas S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.185091Z

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Observation bd7d29b2-c6db-4d8c-b6fc-7cec9ca92856 · outbound

This paper cites Mask2Former for Video Instance Segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Mask2Former for Video Instance Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:31.737828Z

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Observation f2b25763-c8f1-4016-af5e-0fa2158affd1 · outbound

This paper cites Per- pixel classification is not all you need for semantic segmen- tation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Per- pixel classification is not all you need for semantic segmen- tation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.174848Z

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Observation f6b9670c-78a4-47e4-9fc6-780bc041e9df · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Masked-attention mask transformer for universal image segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.164477Z

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Observation eecf82d2-8b0c-41c0-bc50-4a1879bd9af6 · outbound

This paper cites MeViS: A large-scale benchmark for video segmentation with motion expressions.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation MeViS: A large-scale benchmark for video segmentation with motion expressions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.153426Z

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Observation f81a655b-2269-4813-b6dd-62845d006d2c · outbound

This paper cites MOSE: A new dataset for video object segmentation in complex scenes.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation MOSE: A new dataset for video object segmentation in complex scenes

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.143479Z

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Observation 4ea2f2aa-c283-4462-aa95-184f0563ba7c · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.132546Z

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Observation 2037d9f0-e08e-4e28-a9a3-0c6ebf7a7c0c · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep net- work.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Depth map prediction from a single image using a multi-scale deep net- work

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.121778Z

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Observation 19f79190-0953-41c4-9daa-0e0f6c04b649 · outbound

This paper cites Deep Ordinal Regression Network for Monocular Depth Estimation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Deep Ordinal Regression Network for Monocular Depth Estimation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.111325Z

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Observation e1676818-0491-41a7-bc6c-4f4c2cc0a5ea · outbound

This paper cites Gratt-vis: Gated residual atten- tion for video instance segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Gratt-vis: Gated residual atten- tion for video instance segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.100906Z

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Observation dfe9f3e3-c457-4e73-a771-9c6023ce1132 · outbound

This paper cites Deep residual learning for image recognition.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Deep residual learning for image recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.090612Z

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Observation b898921b-6756-44f9-b53b-4806e2b439ab · outbound

This paper cites Vita: Video instance segmentation via object token association.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Vita: Video instance segmentation via object token association

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.080147Z

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Observation d1b04145-c257-4b6e-8936-eb3f465a6564 · outbound

This paper cites A generalized framework for video instance segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation A generalized framework for video instance segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.067855Z

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Observation 47c16f76-4c88-48f2-8444-e17c89f1fdba · outbound

This paper cites Metric3d v2: A versatile monocular geomet- ric foundation model for zero-shot metric depth and surface normal estimation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Metric3d v2: A versatile monocular geomet- ric foundation model for zero-shot metric depth and surface normal estimation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.056740Z

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Observation a80c305d-816f-4cb4-92ea-bdd5366268d3 · outbound

This paper cites Min- vis: A minimal video instance segmentation framework without video-based training.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Min- vis: A minimal video instance segmentation framework without video-based training

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.046211Z

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Observation 92e1425d-cafc-45f8-89f8-662caf0af0ba · outbound

This paper cites Video object segmentation with language referring expressions.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Video object segmentation with language referring expressions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.035711Z

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Observation f48d6ef3-5bee-4933-8c66-12578057479c · outbound

This paper cites Self-Supervised Monocular Depth Es- timation: Solving the Dynamic Object Problem by Seman- tic Guidance.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Self-Supervised Monocular Depth Es- timation: Solving the Dynamic Object Problem by Seman- tic Guidance

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.023162Z

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Observation a105ac78-8cbf-4cd0-b8fd-1e2449f60562 · outbound

This paper cites CAVIS: Context-Aware Video Instance Segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation CAVIS: Context-Aware Video Instance Segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:32.925664Z

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Observation 3e00813c-e74e-4afb-85a3-4eeab842981a · outbound

This paper cites Tcovis: Temporally consistent online video instance seg- mentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Tcovis: Temporally consistent online video instance seg- mentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:35.010380Z

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

Observation 97a9959c-2aba-4451-9256-df2fac6f7eab · outbound

This paper cites Video k-net: A simple, strong, and unified baseline for video segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Video k-net: A simple, strong, and unified baseline for video segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.998688Z

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Observation 2f402b5d-1fa7-45e1-acea-a5cfffc5d4e9 · outbound

This paper cites Transformer-based visual segmenta- tion: A survey.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Transformer-based visual segmenta- tion: A survey

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.984574Z

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Observation 1fb97ea8-58a2-4419-a407-c80f8ccb521d · outbound

This paper cites Omg-seg: Is one model good enough for all segmentation? In Conference on Computer Vision and Pattern Recognition,.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Omg-seg: Is one model good enough for all segmentation? In Conference on Computer Vision and Pattern Recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.972284Z

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Observation 68151916-4bf7-463c-89ba-f2551fba9e48 · outbound

This paper cites Lawrence Zitnick.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Lawrence Zitnick

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:33.336373Z

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Observation fb27e04d-cf28-4f62-9267-6313a358a888 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.956085Z

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 54b62558-b8a6-4d0a-938d-3233084b5af9 · outbound

This paper cites Decoupled weight de- cay regularization.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Decoupled weight de- cay regularization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:33.456111Z

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Unavailable: canonical work link unavailable.

Observation 8abc1bd3-3b74-4663-b440-c98b2466d8cb · outbound

This paper cites an unresolved cited work.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:17:34.937844Z

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 b76ac901-acca-46a2-a6b2-c304a2344ab0 · outbound

This paper cites Keeping your eye on the ball: Trajec- tory attention in video transformers.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Keeping your eye on the ball: Trajec- tory attention in video transformers

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.926944Z

Source-reported events for the cited work

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Observation 4561aba0-e6f1-4af7-aea8-2c6015f83e70 · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation A benchmark dataset and evaluation methodology for video object segmentation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.913748Z

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 98ad0c44-f3dc-4db5-96f9-c420c1c8def2 · outbound

This paper cites Occluded video instance segmentation: A bench- mark.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Occluded video instance segmentation: A bench- mark

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.902520Z

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 096fb90e-f66d-4bc0-aaff-31b9fe73e979 · outbound

This paper cites ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:17:34.592459Z

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 b8ff83cf-20d8-4991-94ad-7925dcb7cca5 · outbound

This paper cites Vi- sion transformers for dense prediction.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Vi- sion transformers for dense prediction

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.890407Z

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 069c13b9-6382-42de-8880-d43d1eddbc4b · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.880084Z

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 b6ed3fb2-ff4f-49d4-b10b-fec2342cbc41 · outbound

This paper cites Boosting monocular depth with panoptic segmentation maps.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Boosting monocular depth with panoptic segmentation maps

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.868877Z

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 faf64410-40a8-4a62-a17c-9a8c78694bee · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.856873Z

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 2b611cf6-04e3-4099-900f-d70730844b99 · outbound

This paper cites Sigma: Siamese mamba network for multi-modal semantic segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Sigma: Siamese mamba network for multi-modal semantic segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.846739Z

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 f244ce5c-8d5f-48ac-8843-81dac7de53ce · outbound

This paper cites Sdc-depth: Semantic divide-and-conquer net- work for monocular depth estimation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Sdc-depth: Semantic divide-and-conquer net- work for monocular depth estimation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.835266Z

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 85d59161-665f-4a1c-ac11-b17da801093c · outbound

This paper cites End-to-end video instance segmentation with transformers.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation End-to-end video instance segmentation with transformers

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.822760Z

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 a4cb9d1e-976b-410b-9635-cc681dc350b4 · outbound

This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.812977Z

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 44fad11c-bfcd-4554-bbf2-cabbca2bbdf3 · outbound

This paper cites Seqformer: Sequential transformer for video instance segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Seqformer: Sequential transformer for video instance segmentation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.803309Z

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 0986d5df-f94b-4fe6-beb2-80d01711e7f5 · outbound

This paper cites In defense of online models for video instance segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation In defense of online models for video instance segmentation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.792784Z

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 a4435c75-3b7d-47ec-a1ab-a37ebf32d005 · outbound

This paper cites Depth Any Video with Scalable Synthetic Data.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Depth Any Video with Scalable Synthetic Data

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:34.513382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b603f057-5f35-41a2-9a6e-ca11f6a59264 · outbound

This paper cites Video instance seg- mentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Video instance seg- mentation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.781260Z

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 5ce503cb-9725-4c3e-bc4e-48fdd850bb6d · outbound

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

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.769290Z

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 249a832b-6022-41b9-bfe0-e82b34dad44e · outbound

This paper cites Depth any- thing v2.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Depth any- thing v2

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.757631Z

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 43c01758-bda8-406c-9a97-f7f7c2c6ee56 · outbound

This paper cites Ctvis: Consistent train- ing for online video instance segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Ctvis: Consistent train- ing for online video instance segmentation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.745864Z

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 9448895f-a749-442b-907e-7e7bed8179af · outbound

This paper cites Polyphonicformer: Unified query learning for depth-aware video panoptic segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Polyphonicformer: Unified query learning for depth-aware video panoptic segmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.733631Z

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 ee2c0955-4265-45f8-bb61-2b8b621a1eae · outbound

This paper cites Geometry meets semantic for semi-supervised monocular depth estimation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Geometry meets semantic for semi-supervised monocular depth estimation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.721040Z

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 cf7c2cbb-991d-4625-a445-749a2e551d55 · outbound

This paper cites Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.710318Z

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 33a3296b-c367-409b-b49a-db6338d5efd5 · outbound

This paper cites Delivering arbitrary-modal semantic segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Delivering arbitrary-modal semantic segmentation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.698098Z

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 4ba3d615-4146-414e-975e-0459af2efcc2 · outbound

This paper cites Dvis: Decoupled video in- stance segmentation framework.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Dvis: Decoupled video in- stance segmentation framework

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.688108Z

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 648c8882-4c46-458c-8834-57f0771046d8 · outbound

This paper cites Dvis++: Improved decoupled frame- work for universal video segmentation.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Dvis++: Improved decoupled frame- work for universal video segmentation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.677425Z

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 fc0301be-19a4-4b39-a3f9-c4686cf35dbe · outbound

This paper cites Dvis-daq: Improving video segmentation via dynamic anchor queries.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Dvis-daq: Improving video segmentation via dynamic anchor queries

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.666323Z

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 f903c52f-5a6a-4f45-9b73-c3fdb9922883 · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Deformable detr: Deformable transformers for end-to-end object detection

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:34.655837Z

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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