rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding | Paper Citation Record

Observation 09cc9dd1-cb86-4b65-9538-5ed4cf255a85 · outbound

This paper cites Riseg: Robot interactive object segmentation via body frame-invariant features,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Riseg: Robot interactive object segmentation via body frame-invariant features,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.717006Z

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Observation a7354791-6fc9-4a38-bb06-da9f28453e42 · outbound

This paper cites Unseen object amodal instance segmentation via hierarchical occlusion mod- eling,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Unseen object amodal instance segmentation via hierarchical occlusion mod- eling,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.706956Z

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Observation 510a2160-a0fd-4322-9c7d-975f64bdc16c · outbound

This paper cites Unseen object in- stance segmentation for robotic environments,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Unseen object in- stance segmentation for robotic environments,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.695154Z

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Observation 564ecac2-9511-4c9d-9ba0-d3ded705ea57 · outbound

This paper cites Learning rgb-d feature embeddings for unseen object instance segmentation,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Learning rgb-d feature embeddings for unseen object instance segmentation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.683175Z

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Observation 9ab31cf9-7f72-4b99-975d-5e0cdfa5107d · outbound

This paper cites Segmenting unknown 3d objects from real depth images using mask r-cnn trained on synthetic point clouds,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Segmenting unknown 3d objects from real depth images using mask r-cnn trained on synthetic point clouds,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.671481Z

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Observation 7692bbb5-4a9e-42c6-8f98-a831850dbec1 · outbound

This paper cites Mean shift mask trans- former for unseen object instance segmentation,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Mean shift mask trans- former for unseen object instance segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.659433Z

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Observation 85c967ec-d565-408f-88d6-35db9ba7b0ed · outbound

This paper cites Interactive segmentation for manipulation in unstructured environments,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Interactive segmentation for manipulation in unstructured environments,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.647517Z

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Observation 21926d1e-e54a-4d79-b350-7e80bb15eac2 · outbound

This paper cites an unresolved cited work.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:30:10.662728Z

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Observation a92dd9cd-3833-416f-aa68-b66622edae9a · outbound

This paper cites Continuous perception for deformable objects understand- ing,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Continuous perception for deformable objects understand- ing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.628398Z

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Observation 4c4a4289-277e-428f-84a9-1a1ce7fb23d5 · outbound

This paper cites Segment anything,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Segment anything,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.618685Z

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Observation 0d53d6c4-beac-46f2-8b13-f4eaab66816a · outbound

This paper cites Efficient graph-based im- age segmentation,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Efficient graph-based im- age segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.607525Z

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Observation 8aadd0c5-b421-472f-bef1-7a156f3c375b · outbound

This paper cites Scenecut: Joint geometric and object segmentation for indoor scenes,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Scenecut: Joint geometric and object segmentation for indoor scenes,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.596606Z

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Observation aa074c71-46c4-4b4f-a448-82d26b2bd4c2 · outbound

This paper cites Object partitioning using local convexity,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Object partitioning using local convexity,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.586401Z

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Observation aafa03c3-6ceb-489b-bc7d-b2ca50e26942 · outbound

This paper cites an unresolved cited work.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:30:12.575886Z

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Observation 5673a381-3874-4f3e-979f-6fcea7046f27 · outbound

This paper cites Efficient organized point cloud segmentation with connected components,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Efficient organized point cloud segmentation with connected components,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.566771Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 500b567b-3ec8-4d71-88ad-94b1bfaf84fc · outbound

This paper cites The best of both modes: Separately leveraging rgb and depth for unseen object instance segmentation,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding The best of both modes: Separately leveraging rgb and depth for unseen object instance segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.557228Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2272fdb2-bce2-4b8a-ad6f-51583b14c988 · outbound

This paper cites Segmenting unknown 3d objects from real depth images using mask r-cnn trained on synthetic data,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Segmenting unknown 3d objects from real depth images using mask r-cnn trained on synthetic data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.546577Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee6533a2-63f8-4c4b-a09d-275a260738a9 · outbound

This paper cites ClusterNet: 3D Instance Segmentation in RGB-D Images.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding ClusterNet: 3D Instance Segmentation in RGB-D Images

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:30:12.329072Z

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Observation 19b77a79-e8ff-4c6f-970e-1d2e74fe1274 · outbound

This paper cites Unseen object instance segmentation with fully test-time rgb-d embeddings adapta- tion,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Unseen object instance segmentation with fully test-time rgb-d embeddings adapta- tion,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.536210Z

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Observation 41311e2b-bc6e-44b7-9707-328a85b1ab4f · outbound

This paper cites Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:30:11.345969Z

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Observation 78dc5b76-01c7-4add-91de-247063bee3cd · outbound

This paper cites Interactive perception: Leveraging action in perception and perception in action,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Interactive perception: Leveraging action in perception and perception in action,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.525723Z

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Observation 2f716f70-a4db-4cd6-b141-a749137b9dcf · outbound

This paper cites Motion segmentation from feature trajectories with missing data,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Motion segmentation from feature trajectories with missing data,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.514974Z

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Observation 277f0c5d-f35a-4ae5-a82d-0caefe326410 · outbound

This paper cites A multibody factorization method for independently moving objects,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding A multibody factorization method for independently moving objects,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.505824Z

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Observation c343d290-d509-41a4-be48-93a22f7c3b8a · outbound

This paper cites Segmenting motions of different types by unsupervised manifold clustering,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Segmenting motions of different types by unsupervised manifold clustering,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.494621Z

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Observation e239f11b-0e2c-4844-a6a8-a0fec09075fd · outbound

This paper cites The whole world in your hand: Active and interactive segmentation,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding The whole world in your hand: Active and interactive segmentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.481959Z

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Observation adcd9e1f-1230-4a52-ae13-8ef6f600b77c · outbound

This paper cites Early integration of vision and manipu- lation,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Early integration of vision and manipu- lation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.472127Z

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Observation a46af23e-1dae-414a-8b7f-9e9fcb3700d4 · outbound

This paper cites Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.462016Z

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Observation 070dd522-5a14-41c6-9101-34a2e624472a · outbound

This paper cites A self-supervised learning system for object detection using physics simulation and multi-view pose estimation,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding A self-supervised learning system for object detection using physics simulation and multi-view pose estimation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.451927Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb1b83ee-c4e6-49f4-873a-12fd95be2163 · outbound

This paper cites Self-supervised unseen object instance segmentation via long-term robot interaction,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Self-supervised unseen object instance segmentation via long-term robot interaction,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.441034Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75baf2f6-e4c1-47ef-9152-2cd8afab6e45 · outbound

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

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:30:12.143893Z

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Observation 5f522662-cea7-4fd9-982d-58851cd245f7 · outbound

This paper cites Some methods for classification and analysis of multi- variate observations,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Some methods for classification and analysis of multi- variate observations,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.424689Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74a51565-f6c9-491b-b8c3-462c6f9dd49e · outbound

This paper cites Clustering by means of medoids,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Clustering by means of medoids,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.413784Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a96e48e6-ec1c-4e96-a01e-c65a3c778a8e · outbound

This paper cites Mean shift: a robust approach toward feature space analysis,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Mean shift: a robust approach toward feature space analysis,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:30:12.266452Z

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Observation 12839b25-237b-45eb-8a9c-620cdcbb970f · outbound

This paper cites Kucuk and Z.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Kucuk and Z

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.395303Z

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Observation c5fef0ec-2cc3-4b7d-812d-efa25404f279 · outbound

This paper cites an unresolved cited work.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:30:12.384971Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57554744-89a0-42bd-9434-53ce0e958544 · outbound

This paper cites Graph clustering by flow simulation,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Graph clustering by flow simulation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.374879Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e22e8cb3-65bf-46c0-a053-f72afe5802c7 · outbound

This paper cites The franka emika robot: A reference platform for robotics research and education,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding The franka emika robot: A reference platform for robotics research and education,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.364028Z

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Observation be249341-f5a6-4f5c-aaeb-86fab6a4c182 · outbound

This paper cites Metrological and critical characterization of the intel d415 stereo depth camera,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Metrological and critical characterization of the intel d415 stereo depth camera,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.351700Z

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Observation 151c4044-c78e-4088-815c-c90237f65f43 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow,.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding Raft: Recurrent all-pairs field transforms for optical flow,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:12.341482Z

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