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Paper Citation Record · LEDGER

Event6D: Event-based Novel Object 6D Pose Tracking

As of 13 August 2026, this Paper Citation Record lists 100 of 150 outbound references and 0 inbound Pith citation observations for arXiv:2603.28045.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2603.28045 v2

Coverage vector

measured 100 of 150 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T22:07:47.744518Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 150 outbound references displayed

  • verified exact6
  • verified fuzzy93
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50c01bd9-9ff6-467c-ab5e-a7a662f4f41d · outbound

This paper cites Mtevent: A multi-task event camera dataset for 6d pose estimation and moving object detection.

Event6D: Event-based Novel Object 6D Pose Tracking Mtevent: A multi-task event camera dataset for 6d pose estimation and moving object detection

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.642177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:d2b588f7fc02ebfed648ee4ccd0926dbd50a42af3f13ec32e3eec1143205dd95

Observation f9818d76-c9f5-49bc-936b-9cbc31669482 · outbound

This paper cites Grasp- clutter6d: A large-scale real-world dataset for robust per- ception and grasping in cluttered scenes.IEEE Robotics and Automation Letters.

Event6D: Event-based Novel Object 6D Pose Tracking Grasp- clutter6d: A large-scale real-world dataset for robust per- ception and grasping in cluttered scenes.IEEE Robotics and Automation Letters

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.747062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:4cbfa17417f9f98fdb3e8de6f51b36dc4ac4a794f83c595c1ae084af1fcff624

Observation 740641ac-7551-4de4-a1f3-56d7f2a08af2 · outbound

This paper cites Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking.

Event6D: Event-based Novel Object 6D Pose Tracking Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:08:03.025382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:b86b0b19c0dd72c4144a4cd8cc95f087273f7d99a71202fca3cca5736945502f

Observation 02182405-026b-4dde-87fe-f3d03cbf4594 · outbound

This paper cites Hot3d: Hand and object tracking in 3d from egocentric multi-view videos.

Event6D: Event-based Novel Object 6D Pose Tracking Hot3d: Hand and object tracking in 3d from egocentric multi-view videos

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.522539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:3601ea26772a9f5a95d0f6adcacb3a511e730f3d2c4947613456dc2c241b2c19

Observation 9b5d6184-374d-4bf5-bef1-c6a9a97cc0d9 · outbound

This paper cites Simultaneous optical flow and intensity estimation from an event camera.

Event6D: Event-based Novel Object 6D Pose Tracking Simultaneous optical flow and intensity estimation from an event camera

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.539958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:786573370d0ff5e3f700178ee20dd5accf5af6e828ddab7f3c0c6d5b62cc5839

Observation 3a0c92e7-16f4-431a-8465-194e97f3d5e3 · outbound

This paper cites Real-time image- based tracking of planes using efficient second-order min- imization.

Event6D: Event-based Novel Object 6D Pose Tracking Real-time image- based tracking of planes using efficient second-order min- imization

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.515711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:ebc7dbc425fa83d702c34cde46ce42c3a820b1cf92f59dad917064250e6a80e0

Observation f08d1c51-4fa9-4c7f-9b11-b1d26e36c90b · outbound

This paper cites Method for registration of 3-d shapes.

Event6D: Event-based Novel Object 6D Pose Tracking Method for registration of 3-d shapes

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.428872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:15457a57f90e73321fc469caf65bea7304f7a05e0df584b23b00d518f9cb165b

Observation e264a4e9-db97-4745-ba96-c41737a6a51f · outbound

This paper cites The ycb object and model set: Towards common benchmarks for manip- ulation research.

Event6D: Event-based Novel Object 6D Pose Tracking The ycb object and model set: Towards common benchmarks for manip- ulation research

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.694608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:b90c636ab65d903123850dfe7eb0da167368e9afe644e105a6699bd9ea3e5f36

Observation 2923f29b-876a-4af0-ba58-cc3e9156903f · outbound

This paper cites Dexycb: A benchmark for capturing hand grasping of objects.

Event6D: Event-based Novel Object 6D Pose Tracking Dexycb: A benchmark for capturing hand grasping of objects

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.698359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:3d1fe91ab0f4541dc4789b23efe373c52be2f8a2a6ea5495ddbe52639fc7be90

Observation 51dac4ca-5f48-4872-b26d-fce79cbad56e · outbound

This paper cites Repurposing pre- trained video diffusion models for event-based video inter- polation.

Event6D: Event-based Novel Object 6D Pose Tracking Repurposing pre- trained video diffusion models for event-based video inter- polation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.535852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:3d4d437876b9b8c719077e4e2f5b3726c217628d58190c56dcebd228f94d2bea

Observation 22f7028f-825a-4317-9277-2d03b94f2baf · outbound

This paper cites Esvio: Event- based stereo visual inertial odometry.IEEE Robotics and Automation Letters, 8(6):3661–3668.

Event6D: Event-based Novel Object 6D Pose Tracking Esvio: Event- based stereo visual inertial odometry.IEEE Robotics and Automation Letters, 8(6):3661–3668

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.078519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:e38d22c9726cedd494d05efb313d71dfcf26def98c87c6e2efd4c5e2237a8ebe

Observation 01e046cb-9422-46ff-bbf6-463f63928ce4 · outbound

This paper cites Gre-slam: 6-dof pure event- based slam with semi-dense depth recovery assisted bundle adjustment.

Event6D: Event-based Novel Object 6D Pose Tracking Gre-slam: 6-dof pure event- based slam with semi-dense depth recovery assisted bundle adjustment

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.024896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:a1cb27929e466dc2bd41e6d81444c303b0c9bd5bb74739eb054333f599f0609e

Observation 26476a20-5883-4dcb-b69e-4ae90c865e9e · outbound

This paper cites Tem- poral event stereo via joint learning with stereoscopic flow.

Event6D: Event-based Novel Object 6D Pose Tracking Tem- poral event stereo via joint learning with stereoscopic flow

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.393333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:b153843c958d1a280bc6b4bcfca3eb11a9e4943335500ab97167b6de6f4bd877

Observation 7c2b40f5-ebe9-4fef-a270-f75fc106d762 · outbound

This paper cites A benchmark dataset for event-guided human pose estimation and tracking in extreme conditions.Advances in Neural Information Processing Systems, 37:134826– 134840.

Event6D: Event-based Novel Object 6D Pose Tracking A benchmark dataset for event-guided human pose estimation and tracking in extreme conditions.Advances in Neural Information Processing Systems, 37:134826– 134840

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.091891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:2de2c208b6bb77e99172e036e0604880adfb8c877fe4af07d0a8d4aaf2d9bab0

Observation 90fe72b5-8ebf-4f4f-8ee1-949fcb579c9b · outbound

This paper cites Tta-evf: Test-time adaptation for event-based video frame interpolation via reliable pixel and sample estima- tion.

Event6D: Event-based Novel Object 6D Pose Tracking Tta-evf: Test-time adaptation for event-based video frame interpolation via reliable pixel and sample estima- tion

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.148675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:159b443bd1f013e75ea1dbda9504f3141e479f5d1834c2e37eba4b5fcd389b46

Observation e2540111-a5a7-409a-ae09-0965ef6b6be4 · outbound

This paper cites Ev-3dod: Pushing the temporal boundaries of 3d object detection with event cameras.

Event6D: Event-based Novel Object 6D Pose Tracking Ev-3dod: Pushing the temporal boundaries of 3d object detection with event cameras

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.387995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:5ec52b4b69c0c0513eeab39bbc7425c740f7486b7a22515d84bb1b3fbe4dece2

Observation d6c979b3-1ff9-4771-9b77-728fbe423f8e · outbound

This paper cites Dense hand-object (ho) graspnet with full grasping taxonomy and dynamics.

Event6D: Event-based Novel Object 6D Pose Tracking Dense hand-object (ho) graspnet with full grasping taxonomy and dynamics

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.382597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:0c95c582b0e330437c7b83282e7b996128dc419ee13ecab48b6b59b017bc47bc

Observation d237831c-757b-48af-9bd6-6e4768c9e6e2 · outbound

This paper cites Real-time markerless tracking for augmented reality: the virtual visual servoing framework.

Event6D: Event-based Novel Object 6D Pose Tracking Real-time markerless tracking for augmented reality: the virtual visual servoing framework

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.411840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:5fff25c8e9fb4aff09ef55e2c5746ce4705710dd42a4039fb3b81a19f802df2d

Observation a2fcde8d-b143-4c0a-bcb7-6bede153133c · outbound

This paper cites Interacting maps for fast vi- sual interpretation.

Event6D: Event-based Novel Object 6D Pose Tracking Interacting maps for fast vi- sual interpretation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.115358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:b75c7b3b599380a5ded80b2f803de871ea0edabeffd2bb4a906559efdea3c49d

Observation a34f967f-62b6-4593-a852-2222d87ce988 · outbound

This paper cites Robust 3d track- ing with descriptor fields.

Event6D: Event-based Novel Object 6D Pose Tracking Robust 3d track- ing with descriptor fields

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.125613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:8d96a3d25e31fb13d2cf78b983fd8fc773772bbf8bc9f6a7598b706fcfa107c1

Observation 93125710-38c8-434c-b509-ad3003e73c94 · outbound

This paper cites Poserbpf: A rao–blackwellized particle filter for 6-d object pose tracking.IEEE Transac- tions on Robotics, 37(5):1328–1342.

Event6D: Event-based Novel Object 6D Pose Tracking Poserbpf: A rao–blackwellized particle filter for 6-d object pose tracking.IEEE Transac- tions on Robotics, 37(5):1328–1342

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.353889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:5f43f2bff5956b057f330466ff096bf8033faaee9c4805f6440d2c2b06dc6765

Observation 1ffce4ea-efd8-45b5-952c-01c47d5420ea · outbound

This paper cites Blenderproc: Reducing the reality gap with photorealistic rendering.

Event6D: Event-based Novel Object 6D Pose Tracking Blenderproc: Reducing the reality gap with photorealistic rendering

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.369897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:77993122c582c69f8f6b6f1a39161cfb82de3ae5d7802b50ad8b9d155bb8b022

Observation b9e23001-9d90-4752-9cf8-8527fe1bc6ab · outbound

This paper cites Blenderproc2: A procedural pipeline for photorealistic ren- dering.Journal of Open Source Software, 8(82):4901.

Event6D: Event-based Novel Object 6D Pose Tracking Blenderproc2: A procedural pipeline for photorealistic ren- dering.Journal of Open Source Software, 8(82):4901

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.314073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:8cd44caf401b92eb51768bf0baf2bb531d7e081bc68b55409336211e17000561

Observation 3c4f4460-bfa9-4f74-a4f1-214a4dd8caab · outbound

This paper cites Google scanned objects: A high-quality dataset of 3d scanned household items.

Event6D: Event-based Novel Object 6D Pose Tracking Google scanned objects: A high-quality dataset of 3d scanned household items

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.157758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:5c8ba192d0d998f203d744459031f3a84ad05bad3f1359d9adadca0d363fb903

Observation 6b82b454-3b8b-43dc-a203-ede13e654737 · outbound

This paper cites Real-time visual tracking of complex structures.IEEE Transactions on Pattern Analysis & Machine Intelligence, 24(07):932–946.

Event6D: Event-based Novel Object 6D Pose Tracking Real-time visual tracking of complex structures.IEEE Transactions on Pattern Analysis & Machine Intelligence, 24(07):932–946

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.376249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:57e67ca36ee6e68e46fa21d7086be3c3fcb361fe7ef8ee678c68fb3915154e26

Observation cbaf926d-583a-4199-8aac-0a834a837693 · outbound

This paper cites Pizza: A powerful image-only zero-shot zero- cad approach to 6 dof tracking.

Event6D: Event-based Novel Object 6D Pose Tracking Pizza: A powerful image-only zero-shot zero- cad approach to 6 dof tracking

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.417784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:230b0b06ee1689440bb3151c8fd7db80360341e54c9ce3a8cabe549a2b8d24f4

Observation 66a874ab-1615-4f06-b9e5-0f8aad22a19b · outbound

This paper cites Rgb-de: Event camera calibration for fast 6-dof object tracking.

Event6D: Event-based Novel Object 6D Pose Tracking Rgb-de: Event camera calibration for fast 6-dof object tracking

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.360333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:e93aebf38786a96b5e3397724a90b674fa1b0ee3ac4a921ec098719ebfc2a7b5

Observation e91190c6-82ee-4435-8a79-627d7062c5d6 · outbound

This paper cites Real-time 6-dof pose estimation by an event-based camera using active led markers.

Event6D: Event-based Novel Object 6D Pose Tracking Real-time 6-dof pose estimation by an event-based camera using active led markers

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.177938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:4695cffd40807ae5dbd2dbdb2fbc9d9980588c8719f7e7d344921266286036c0

Observation e6008b87-c2c6-42e5-9567-e9ebd8beb294 · outbound

This paper cites Unsupervised event-based video reconstruction.

Event6D: Event-based Novel Object 6D Pose Tracking Unsupervised event-based video reconstruction

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.153367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:6ccec6c673d84cf0082cf1ae70e21d928cbac20408aa3c063c1f18199f37b647

Observation 7396ed74-cc87-442a-8d4e-a48c5d0c3ae8 · outbound

This paper cites Unified temporal and spatial calibration for multi-sensor systems.

Event6D: Event-based Novel Object 6D Pose Tracking Unified temporal and spatial calibration for multi-sensor systems

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.163110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:539e5fbaf47aa2e0465050bb72535d55d3822ee5f01f10874fb849a858b16d23

Observation 0a7a3b1b-ad43-476c-8b85-6314b18a6808 · outbound

This paper cites Comparative anal- ysis of optitrack motion capture systems.

Event6D: Event-based Novel Object 6D Pose Tracking Comparative anal- ysis of optitrack motion capture systems

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.402688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:31651724337f7182e0b40c75ba46a743e3b452973308167db060498654f0ced3

Observation 3da54750-cc0d-4d35-aaf7-1047521171c5 · outbound

This paper cites Event-based vision: A survey.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 44 (1):154–180.

Event6D: Event-based Novel Object 6D Pose Tracking Event-based vision: A survey.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 44 (1):154–180

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.142963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:464a926f9ebe96432d6cc80fb2d6fcc089a2a45f865a2e9d4d5e33967f9966d1

Observation bdf9b019-151a-47fb-949e-a367247b1eb4 · outbound

This paper cites Deep 6-dof tracking.IEEE transactions on visualization and computer graphics, 23(11):2410–2418.

Event6D: Event-based Novel Object 6D Pose Tracking Deep 6-dof tracking.IEEE transactions on visualization and computer graphics, 23(11):2410–2418

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.133273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:a64f61600a8f606df3099fd5e918862b2928e22bc2abc9fec33e0a67dd41872c

Observation 0fcc3ff7-dc34-484b-9114-cf025dc56848 · outbound

This paper cites Low-latency au- tomotive vision with event cameras.Nature, 629(8014): 1034–1040.

Event6D: Event-based Novel Object 6D Pose Tracking Low-latency au- tomotive vision with event cameras.Nature, 629(8014): 1034–1040

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.407639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:746da2ac8e77ae6e1db880cfce7815ac34aab781ae77aaf8fdc1a94778f3073a

Observation 29b831df-74d5-4c14-ab95-78dc7e220ec6 · outbound

This paper cites Asynchronous, photometric feature tracking using events and frames.

Event6D: Event-based Novel Object 6D Pose Tracking Asynchronous, photometric feature tracking using events and frames

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.318847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:b8a20b135035c6ee4c00a766bd7b478271770e6954c8fc2c6685673aa608742c

Observation 532ea7bf-7265-4fc5-a8e7-4a8f99565a11 · outbound

This paper cites Video to events: Recycling video datasets for event cameras.

Event6D: Event-based Novel Object 6D Pose Tracking Video to events: Recycling video datasets for event cameras

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.064293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:49d5750fb242da5a7449f9bcecdbee864d01cf320d5ea1b4220bc5211b3666e2

Observation 7091fde8-7877-46b1-abd2-1116ffd9dbb2 · outbound

This paper cites Recurrent vision transformers for object detection with event cameras.

Event6D: Event-based Novel Object 6D Pose Tracking Recurrent vision transformers for object detection with event cameras

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:35.996849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:37fed0813aeec2c7c84823f041bb50a8328df55b041ccb60de7e599217af73a2

Observation 9ca4e747-e68e-45f9-9b6a-9df9feabd238 · outbound

This paper cites Dsec: A stereo event camera dataset for driving scenarios.IEEE Robotics and Automation Letters, 6(3):4947–4954.

Event6D: Event-based Novel Object 6D Pose Tracking Dsec: A stereo event camera dataset for driving scenarios.IEEE Robotics and Automation Letters, 6(3):4947–4954

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.043411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:8a3e41d995b4bbf2625284e8cc184c64eb73cc8ae68cf2eaf08b20a7fd605144

Observation 5e8beab6-e495-4d0e-8dad-bf774715f2eb · outbound

This paper cites E-raft: Dense optical flow from event cameras.

Event6D: Event-based Novel Object 6D Pose Tracking E-raft: Dense optical flow from event cameras

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.044356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:cd0a64e8eb6e0a41ccf81385f347593c70fe390607e3872f658d45ee2656b9d4

Observation 7418824f-9a9a-49e7-b7fd-7c3b6fd927df · outbound

This paper cites Edopt: Event-camera 6-dof dynamic object pose tracking.

Event6D: Event-based Novel Object 6D Pose Tracking Edopt: Event-camera 6-dof dynamic object pose tracking

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.240747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:722cfceacaf07b56ee7742bb8289968a48bff28c0d2289a4ff3aa17276e087e7

Observation 4345c38c-1453-45d3-a335-364191557f20 · outbound

This paper cites Edopt: Event-camera 6-dof dynamic object pose tracking.

Event6D: Event-based Novel Object 6D Pose Tracking Edopt: Event-camera 6-dof dynamic object pose tracking

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.277990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:5ddef8236c83415e5e1de75282ccb4a64ef8729509b718be15a61f971b054371

Observation 61ec1553-691d-4129-b245-0c8ecee7f29c · outbound

This paper cites Deio: Deep event inertial odometry.

Event6D: Event-based Novel Object 6D Pose Tracking Deio: Deep event inertial odometry

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.187472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:977962435909fd944601d4a2f2f93d329771270ab3b49b4da2f7c6af5e7d91fc

Observation 8d037180-2240-4a89-ad9d-19a7df9292a4 · outbound

This paper cites Handal: A dataset of real-world manipulable object cate- gories with pose annotations, affordances, and reconstruc- tions.

Event6D: Event-based Novel Object 6D Pose Tracking Handal: A dataset of real-world manipulable object cate- gories with pose annotations, affordances, and reconstruc- tions

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.039220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:fe39e9f733f11dde351a66cc11cb17f25eb9da25c37cb67d85d9a47d74703ae3

Observation bf5f2df5-b5e9-4412-a954-75509f645cc8 · outbound

This paper cites Measuring depth accuracy in rgbd cameras.

Event6D: Event-based Novel Object 6D Pose Tracking Measuring depth accuracy in rgbd cameras

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.032514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:9b6539aa4464f785ade3959e45c1b1a75a840c3f7755a350d544ae1bba27142b

Observation 67ac7b77-6e32-44c3-90c2-a25474237165 · outbound

This paper cites Etap: Event- based tracking of any point.

Event6D: Event-based Novel Object 6D Pose Tracking Etap: Event- based tracking of any point

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:35.948642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:ec4130c8a27d171fcab6a2d1a49b0f737b4ea4765a44cfa4e6adce8a4f32d4d4

Observation 45ca8640-9178-46bb-93d8-de763810e147 · outbound

This paper cites Honnotate: A method for 3d annotation of hand and object poses.

Event6D: Event-based Novel Object 6D Pose Tracking Honnotate: A method for 3d annotation of hand and object poses

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:35.914373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:4c1711644735512a518e03e801fb22395c7fd48b76b194f49268da78cea9be95

Observation 241e98d5-0a2a-42f0-b67e-05914f8878b7 · outbound

This paper cites Rapid-a video rate object tracker.

Event6D: Event-based Novel Object 6D Pose Tracking Rapid-a video rate object tracker

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:35.901344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:c210b3ff94d00202825253796fa31ff6f486dfeb85b15dca736f16a758ed9b6b

Observation 1abdfd1e-a3eb-4e92-a78e-6116657849e5 · outbound

This paper cites E-pose: A large scale event camera dataset for object pose estimation.Scientific data, 12(1):245.

Event6D: Event-based Novel Object 6D Pose Tracking E-pose: A large scale event camera dataset for object pose estimation.Scientific data, 12(1):245

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.212472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:052e0fea3da49754fcd0a9a47f153a45dc150d533f2ec96aca2f28c967d66d36

Observation 25658d32-9de1-4c44-b3e9-3176e0420182 · outbound

This paper cites Learning monocular dense depth from events.

Event6D: Event-based Novel Object 6D Pose Tracking Learning monocular dense depth from events

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.051753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:a2872852a91f4b3a7fc25bb128713b918d4a257274eb4bd567564a0b37298a2c

Observation cb31beec-d40e-4543-8b58-6febb20df5ab · outbound

This paper cites Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes.

Event6D: Event-based Novel Object 6D Pose Tracking Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.054356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:188dc8230562ea4a47377e8d874e974fa1b6044c2c9fbcd38ed8b7f748dccd90

Observation 6b5e19fc-fad7-4808-8fbe-692a102d265d · outbound

This paper cites Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects.

Event6D: Event-based Novel Object 6D Pose Tracking Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.171414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:a0a048212df4c9bb3a590548586211268f8604c81d96a99a2f7de6f7ebf6cb10

Observation a636fbbe-7744-42a1-9dc9-1948c98de72e · outbound

This paper cites Ede-distill: Boosting event-based monocular depth estimation performance via knowledge distillation.

Event6D: Event-based Novel Object 6D Pose Tracking Ede-distill: Boosting event-based monocular depth estimation performance via knowledge distillation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.324928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:75019bb328ba78e846a719adcaa8cfaaa2af8f3310b6ec9c5c00c82296482a6e

Observation da038537-6c9b-40da-ba12-c7f79b2ec26d · outbound

This paper cites Depth-based object tracking using a robust gaussian filter.

Event6D: Event-based Novel Object 6D Pose Tracking Depth-based object tracking using a robust gaussian filter

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.347337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:070346a1f170f0c43266cb43ad6c140a60a551db7e99540fac098be8908307c8

Observation 495b8f9f-29d9-4896-8d96-30fc5b1efeaf · outbound

This paper cites To- wards robust event-based networks for nighttime via un- paired day-to-night event translation.

Event6D: Event-based Novel Object 6D Pose Tracking To- wards robust event-based networks for nighttime via un- paired day-to-night event translation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.365946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:3a26e3654015520dac8cffbc26155756ae2eb7a659bee506d03b669c11cc6194

Observation 6d1a8441-0179-4288-98c9-9c726aaf9dd9 · outbound

This paper cites What mat- ters in unsupervised optical flow.

Event6D: Event-based Novel Object 6D Pose Tracking What mat- ters in unsupervised optical flow

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.424114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:410d92fa972fd9b733e970b462b7aae414977c58dc2435c6cd3212cd5127e094

Observation 1f8911a1-95de-4af3-b517-18c010681c2d · outbound

This paper cites Tem- poral stereo matching from event cameras via joint learning with stereoscopic flow.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence.

Event6D: Event-based Novel Object 6D Pose Tracking Tem- poral stereo matching from event cameras via joint learning with stereoscopic flow.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.263988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:39276c5faa6494f0cecc6b779dce0f778ca86445b91ba02e80587a1dc04bc419

Observation c818fc42-1570-42dd-aa66-d17c212ceab0 · outbound

This paper cites Un- leashing the temporal potential of stereo event cameras for continuous-time 3d object detection.

Event6D: Event-based Novel Object 6D Pose Tracking Un- leashing the temporal potential of stereo event cameras for continuous-time 3d object detection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.217636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:7e44a37e96144f114bfeeb3118acd57dd8f8f5137e0c8b8afa3a8a01b8b1bdca

Observation 0107ec82-8941-420e-bfa4-09e7b35c6126 · outbound

This paper cites Intel realsense stereo- scopic depth cameras.

Event6D: Event-based Novel Object 6D Pose Tracking Intel realsense stereo- scopic depth cameras

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.229793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:403aa9a7301a697a65c9af4238b6852c4240401ded4c085dbb9ec0482f509d9d

Observation 0fdee105-cb35-40d1-95a2-51e72a583b14 · outbound

This paper cites Simultaneous mosaicing and track- ing with an event camera.J.

Event6D: Event-based Novel Object 6D Pose Tracking Simultaneous mosaicing and track- ing with an event camera.J

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.224349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:1006c3c56b5ec34dc7e47b4819203f9fb991152dfbac5c3265baf2aece364760

Observation a31130be-3a27-4f9c-b322-f94b07528958 · outbound

This paper cites Real-time 3d reconstruction and 6-dof tracking with an event camera.

Event6D: Event-based Novel Object 6D Pose Tracking Real-time 3d reconstruction and 6-dof tracking with an event camera

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.246935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:8e0eb9cc5dcee815b91463f469dbb2949a3e3b321f9d8758a2351a467d7c65ba

Observation e1367637-b6f0-423b-a110-75a7c20a3a41 · outbound

This paper cites Segment anything.

Event6D: Event-based Novel Object 6D Pose Tracking Segment anything

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.342505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:c540a88c105841673c0186b3a15a160c2e03611feb3ba46a9974e84eb386f21b

Observation e07b2bb5-dfbb-4d68-b238-54026574ddd5 · outbound

This paper cites Deep event visual odometry.

Event6D: Event-based Novel Object 6D Pose Tracking Deep event visual odometry

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.138515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:739a5beb0dbce00a1c3eabed72c41e0353b171af4691966ace750d7b04d9a793

Observation c77afa39-57bb-435a-8760-e840ab230f9b · outbound

This paper cites Cosypose: Consistent multi-view multi-object 6d pose estimation.

Event6D: Event-based Novel Object 6D Pose Tracking Cosypose: Consistent multi-view multi-object 6d pose estimation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.182210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:fbbcdefa3339407b1a8648a79abb55f69e30c23ff6d73a983de6d76178c8ad48

Observation 83b511ce-20d4-40ed-a537-a9296c6656c8 · outbound

This paper cites MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.

Event6D: Event-based Novel Object 6D Pose Tracking MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.038126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:e2cff19df74a0739f81b9254c3a45f22fe56b156719ffe57a877238398997996

Observation 18a6a1c6-8636-4d4d-9b60-4c7c6852709b · outbound

This paper cites Category-level metric scale object shape and pose estimation.IEEE Robotics and Automation Letters, 6(4): 8575–8582.

Event6D: Event-based Novel Object 6D Pose Tracking Category-level metric scale object shape and pose estimation.IEEE Robotics and Automation Letters, 6(4): 8575–8582

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.336348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:bd45500f3488b5f04b5362a3e6b0420048bdd83dd2c1c575fa02b2e0ceef7026

Observation e7a1a003-c723-489b-9fa6-00bcd5c8f35f · outbound

This paper cites Tta-cope: Test-time adaptation for category-level object pose estimation.

Event6D: Event-based Novel Object 6D Pose Tracking Tta-cope: Test-time adaptation for category-level object pose estimation

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.071901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:818d8f617c695563283dbd38846cfe0af17b3a7f7dd35038ad2cc35229c38568

Observation c2d8a2d1-ff7c-4850-bdbe-041ecab134bc · outbound

This paper cites Delta: Demonstration and language- guided novel transparent object manipulation.

Event6D: Event-based Novel Object 6D Pose Tracking Delta: Demonstration and language- guided novel transparent object manipulation

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.050997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:ff4e8fe57efa3c9a7691a2879a0fa0ff6917966517550e39b0c40ff610156baf

Observation 8ce2d2c0-eafe-4f09-82a2-5b30e993705d · outbound

This paper cites Any6d: Model-free 6d pose estimation of novel objects.

Event6D: Event-based Novel Object 6D Pose Tracking Any6d: Model-free 6d pose estimation of novel objects

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.002362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:6a06502e71fbf0ca18c19e99125f3557c3cb043c27305b89b928674e43907137

Observation 5417e9d3-90f6-49d4-b780-d15f8d5968d9 · outbound

This paper cites Ep n p: An accurate o (n) solution to the p n p problem.

Event6D: Event-based Novel Object 6D Pose Tracking Ep n p: An accurate o (n) solution to the p n p problem

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.010027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:ddc01f9c15301bb0284f64e8e5d39a152d0d4da2a714082ef79191e561b4df20

Observation e5ea698b-83ac-47c8-8052-cd0bf68f7088 · outbound

This paper cites Epnp: An accurate o (n) solution to the p n p problem.Inter- national Journal of Computer Vision, 81(2):155–166.

Event6D: Event-based Novel Object 6D Pose Tracking Epnp: An accurate o (n) solution to the p n p problem.Inter- national Journal of Computer Vision, 81(2):155–166

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:35.990869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:50d300e850890ca9c24484fce92dee3c9679eb6a4bc72a77ba1e7c4a1aae6560

Observation 7cde9351-7d5c-43ba-8c2b-35c9ccfdddd3 · outbound

This paper cites Deepim: Deep iterative matching for 6d pose estimation.

Event6D: Event-based Novel Object 6D Pose Tracking Deepim: Deep iterative matching for 6d pose estimation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.206442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:27879f58c590844c9a6be4e246b36b178be7985037024fc6d880e990ae5e832c

Observation 878224a1-02d9-4990-a85a-38491e07d751 · outbound

This paper cites 6-dof object tracking with event-based optical flow and frames.

Event6D: Event-based Novel Object 6D Pose Tracking 6-dof object tracking with event-based optical flow and frames

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.193491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:068f66d107dedcfa5c07a274fe42e74d6178ede73d74abc2955d3485f76dea4e

Observation 4e57888b-6745-43f1-b61f-0ef1b93d5c07 · outbound

This paper cites Sam-6d: Segment anything model meets zero-shot 6d object pose es- timation.

Event6D: Event-based Novel Object 6D Pose Tracking Sam-6d: Segment anything model meets zero-shot 6d object pose es- timation

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:35.972339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:c291fa3e12c469f9c06b868a0aee3acaf6d67cde72c3e7472d22d0b3a8a61c4a

Observation e38bd6f8-5ead-4b29-803c-eee46083bf44 · outbound

This paper cites Keypoint-based category-level object pose tracking from an rgb sequence with uncertainty estimation.

Event6D: Event-based Novel Object 6D Pose Tracking Keypoint-based category-level object pose tracking from an rgb sequence with uncertainty estimation

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.298692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:2c21bd9233dd01ba1031a18b1fca46e879d354fb659500e581bd3c22419a6d2c

Observation c085da9b-c518-432c-82ce-98d928f32466 · outbound

This paper cites Spatiotemporal registration for event-based visual odometry.

Event6D: Event-based Novel Object 6D Pose Tracking Spatiotemporal registration for event-based visual odometry

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:35.949183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:e2788100189ac0e6d6b57869bd417bd2fc5ce530bde9ed3e3d13e8563857b478

Observation 42c19072-52ff-43ce-80e0-4fd308c0bc99 · outbound

This paper cites High-rate monocu- lar depth estimation via cross frame-rate collaboration of frames and events.International Journal of Computer Vi- sion, 133(10):7332–7351.

Event6D: Event-based Novel Object 6D Pose Tracking High-rate monocu- lar depth estimation via cross frame-rate collaboration of frames and events.International Journal of Computer Vi- sion, 133(10):7332–7351

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:35.966674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:7b790c5065e5cfd6840d367a7b7a2f036412ea0561803cf47b0728432b8e1b54

Observation c7bd00b2-2a8e-431a-84fc-c686ca5aec9f · outbound

This paper cites T-esvo: improved event-based stereo visual odome- try via adaptive time-surface and truncated signed distance function.Advanced Intelligent Systems, 5(9):2300027.

Event6D: Event-based Novel Object 6D Pose Tracking T-esvo: improved event-based stereo visual odome- try via adaptive time-surface and truncated signed distance function.Advanced Intelligent Systems, 5(9):2300027

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:35.978217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:d0299ebd4153a8bd6eaf15af992fd99981b12bbaafd7679d3fc45c50b8cb951b

Observation 6a1a2603-d859-4000-9dd0-e815c282e855 · outbound

This paper cites Optical flow-guided 6dof ob- ject pose tracking with an event camera.

Event6D: Event-based Novel Object 6D Pose Tracking Optical flow-guided 6dof ob- ject pose tracking with an event camera

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.085492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:a8c80833a72c5a68a8de5379eb91767e1621799ddc270901dd23c7d6b874091d

Observation 0a510048-f609-438e-aee9-1846e08fd8b0 · outbound

This paper cites Line-based 6-dof object pose estimation and tracking with an event camera.IEEE Transactions on Im- age Processing, 33:4765–4780.

Event6D: Event-based Novel Object 6D Pose Tracking Line-based 6-dof object pose estimation and tracking with an event camera.IEEE Transactions on Im- age Processing, 33:4765–4780

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:35.936839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:1566ce4c284a5ecff006d8d473e6111d21f4bb5b1c1f54a8db5a966d3186f23c

Observation 2d239ae4-2729-4791-a2af-fd6907a83ac9 · outbound

This paper cites Line-based 6-dof object pose estimation and tracking with an event camera.IEEE Transactions on Im- age Processing, 33:4765–4780.

Event6D: Event-based Novel Object 6D Pose Tracking Line-based 6-dof object pose estimation and tracking with an event camera.IEEE Transactions on Im- age Processing, 33:4765–4780

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.059759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:a289c95c314ee9b60b79868c898133ff954441c308daed2a426a94a92390a391

Observation c528ea37-b529-44c5-accc-e1dd809bf91c · outbound

This paper cites Stereo event-based, 6-dof pose track- ing for uncooperative spacecraft.IEEE Transactions on Geoscience and Remote Sensing, 63:1–13.

Event6D: Event-based Novel Object 6D Pose Tracking Stereo event-based, 6-dof pose track- ing for uncooperative spacecraft.IEEE Transactions on Geoscience and Remote Sensing, 63:1–13

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.235715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:feaa86dc1b744e0641ca237658ce9cd080091c0af59703a28c466cd202ecaa76

Observation 07b1b1e8-8f35-47a8-b57d-3182e8e77b4a · outbound

This paper cites Event- based high-speed low-latency fiducial marker tracking.

Event6D: Event-based Novel Object 6D Pose Tracking Event- based high-speed low-latency fiducial marker tracking

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:49:36.272459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:ec10c976ba2288df37ee336d7515ab8c62ee5c3ec030be0b64a504237f77d2e3

Observation 823f1247-4bf4-4f61-b31d-eb781d6052d9 · outbound

This paper cites Event-based Visual Inertial Velometer.

Event6D: Event-based Novel Object 6D Pose Tracking Event-based Visual Inertial Velometer

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.044733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:4a28ec24894c8c0712c2211fb8819646476fd5959301a9fb10275f3e2b086ec6

Observation cfd0c6d6-c1f0-4f6d-949f-8b2267c1b2b5 · outbound

This paper cites An iterative image reg- istration technique with an application to stereo vision.

Event6D: Event-based Novel Object 6D Pose Tracking An iterative image reg- istration technique with an application to stereo vision

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.635470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:1321c2ccb2abef55a3cc959b1ec3a5dfffd747b6af41acac7ad9157e85a5fa9b

Observation 4040c67c-b9fb-4b14-96d1-cf71ac9b3c4b · outbound

This paper cites Efficient meshflow and optical flow estimation from event cameras.

Event6D: Event-based Novel Object 6D Pose Tracking Efficient meshflow and optical flow estimation from event cameras

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.665541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:82d32fa704959c7a5197aff26877437001d3e44c0841aba266cca0287e919239

Observation f20cc7ef-1555-485a-b7dd-96ad09b375a0 · outbound

This paper cites Timelens-xl: Real-time event-based video frame interpolation with large motion.

Event6D: Event-based Novel Object 6D Pose Tracking Timelens-xl: Real-time event-based video frame interpolation with large motion

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.705994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:2f388089c52db2d5a8d42344aead76f0640bc60a0b2c6f8e019b34be5f6a69cb

Observation ad22d68d-7f23-413c-83c0-fd47ffc7c836 · outbound

This paper cites 3d model-based 6d object pose tracking on rgb images using particle filtering and heuristic optimization.

Event6D: Event-based Novel Object 6D Pose Tracking 3d model-based 6d object pose tracking on rgb images using particle filtering and heuristic optimization

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.617447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:a3fe2a984d0f0806cb89f924d67de7969b8501d3a7ffa8660a5f3c7c95e3e0d2

Observation 81054e6f-dea0-4a56-9b44-c345091a149e · outbound

This paper cites Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects.

Event6D: Event-based Novel Object 6D Pose Tracking Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.649981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:50ff401662406d41cf3f753189e17b172d89ecd0886797f8a772c1c77ef7c711

Observation ce26f99f-7eec-4e8e-a0e7-ae26dcf8af50 · outbound

This paper cites Co-op: Correspondence-based novel object pose estimation.

Event6D: Event-based Novel Object 6D Pose Tracking Co-op: Correspondence-based novel object pose estimation

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.648597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:c0ed6f1e3b848709a020d82eb200ce4a3524ec50aa3bb889da85a1974c404e37

Observation 35d00152-e91f-4de9-8169-d9f9bc8b74cc · outbound

This paper cites Real-time intensity-image reconstruction for event cameras using manifold regularisation.International Journal of Computer Vision, 126(12):1381–1393.

Event6D: Event-based Novel Object 6D Pose Tracking Real-time intensity-image reconstruction for event cameras using manifold regularisation.International Journal of Computer Vision, 126(12):1381–1393

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.653025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:a9f101c38f4ae6f482b8120a75cd299f5ecaa83ab4e7789738260ebb39bb8915

Observation 0cb8eab1-de01-4dda-8834-3c5e540bec40 · outbound

This paper cites BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation.

Event6D: Event-based Novel Object 6D Pose Tracking BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.066013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:51393ccd0d46098c746db98216864fd3588510dfb72a061ade0a66f9ffaccc1e

Observation 42afd4b8-f218-451d-8b04-bb063a2b17af · outbound

This paper cites Gigapose: Fast and robust novel object pose estimation via one correspondence.

Event6D: Event-based Novel Object 6D Pose Tracking Gigapose: Fast and robust novel object pose estimation via one correspondence

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.657084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:aba10c0a6b492aa6125eff78aa1c55b13d096698dcc1e085766acf19a4df0eb4

Observation 66bc9998-e01b-4fa0-81b8-b42fec498411 · outbound

This paper cites GoTrack: Generic 6DoF Object Pose Refinement and Tracking.

Event6D: Event-based Novel Object 6D Pose Tracking GoTrack: Generic 6DoF Object Pose Refinement and Tracking

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.059631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:bfa57f7ea1bd9705f55a121490ca16416f2af9c6d25ec67f780dcebe590a8fd8

Observation 063ce594-6be4-4759-8111-ba58d46814f5 · outbound

This paper cites Feature harvesting for tracking-by-detection.

Event6D: Event-based Novel Object 6D Pose Tracking Feature harvesting for tracking-by-detection

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.669466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:91d4105baa042837017615ae5017e5bfa0b4ef6d0069eaab81fb981264603b52

Observation 30dac0ec-c746-4cbf-8707-f5943e42033d · outbound

This paper cites Back to event basics: Self-supervised learning of image recon- struction for event cameras via photometric constancy.

Event6D: Event-based Novel Object 6D Pose Tracking Back to event basics: Self-supervised learning of image recon- struction for event cameras via photometric constancy

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.694035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:9d015fbac929008f5a58bd52f2b931d35bd8fe840d0518d3ecbaefeade8707e0

Observation bb4287e3-4bf3-4ddf-a562-7317270bf418 · outbound

This paper cites Colored point cloud registration revisited.

Event6D: Event-based Novel Object 6D Pose Tracking Colored point cloud registration revisited

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.712991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:45645bafb7f857a2364ae0db0f1ec59e98fed5a32a39b1d6201706fa58763663

Observation 650c2c3f-87a5-451e-9837-d8f80305eb09 · outbound

This paper cites Pvnet: Pixel-wise voting network for 6dof pose estimation.

Event6D: Event-based Novel Object 6D Pose Tracking Pvnet: Pixel-wise voting network for 6dof pose estimation

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.750716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:74dcda934d6642da517a687bd44c95248a03c95be00a12a53b339b5df3724e4a

Observation dc4341b4-f696-4f96-b995-f32ce72126d8 · outbound

This paper cites Learn to See by Events: Color Frame Synthesis from Event and RGB Cameras.

Event6D: Event-based Novel Object 6D Pose Tracking Learn to See by Events: Color Frame Synthesis from Event and RGB Cameras

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.073143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:cfce7b62104442d8d0e08e9cd36623ad64acb047f355940c160f6b6a83eab354

Observation 1fe4d463-4658-42dc-9643-50f87fecd32a · outbound

This paper cites 6D Object Pose Tracking in Internet Videos for Robotic Ma- nipulation.

Event6D: Event-based Novel Object 6D Pose Tracking 6D Object Pose Tracking in Internet Videos for Robotic Ma- nipulation

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.819027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:259e0e42a90010ccca8f7be4452ce6ca9b51e6ba1ff44134024d19f726c92b5d

Observation d24377da-ce97-4db6-b795-3b925725e88b · outbound

This paper cites Evo: A geometric approach to event-based 6-dof parallel tracking and mapping in real time.IEEE Robotics and Automation Letters, 2(2):593– 600.

Event6D: Event-based Novel Object 6D Pose Tracking Evo: A geometric approach to event-based 6-dof parallel tracking and mapping in real time.IEEE Robotics and Automation Letters, 2(2):593– 600

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:09:32.835960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:47.744518Z digest=sha256:eee4d24d610ab0da4a2fb483231946e33753fe6a87f5f8531ce48bded1a52ec7

Pith citing papers

No inbound Pith citation observations are available.