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Paper Citation Record · LEDGER

Visual Grounding from Event Cameras

As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2509.09584.

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

pith.paper-citation-record.v1
2509.09584 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:53:23.400359Z

measured 68 of 68 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

68 of 68 outbound references displayed

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Outbound references

Observation 69f8be74-7cac-4b03-a998-323700a8bb09 · outbound

This paper cites Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes.

Visual Grounding from Event Cameras Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes

Reference 1

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Observation d1f5e596-55f8-441e-91d0-d4cf340d0404 · outbound

This paper cites Ddd17: End-to-end davis driving dataset.

Visual Grounding from Event Cameras Ddd17: End-to-end davis driving dataset

Reference 2

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Observation 69c1ee43-07b2-48ae-b118-ab830b972185 · outbound

This paper cites A 240× 180 130 db 3 µs latency global shutter spatiotemporal vision sensor.IEEE Journal of Solid-State Circuits, 49(10):2333–2341, 2014.

Visual Grounding from Event Cameras A 240× 180 130 db 3 µs latency global shutter spatiotemporal vision sensor.IEEE Journal of Solid-State Circuits, 49(10):2333–2341, 2014

Reference 3

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Observation 98c6c956-dcba-4818-8dd2-0d914c2d18dc · outbound

This paper cites Low-latency event- based visual odometry.

Visual Grounding from Event Cameras Low-latency event- based visual odometry

Reference 4

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Observation 812efb98-3bb6-4df0-a546-fca4dfcbabce · outbound

This paper cites Recent event camera innovations: A survey.

Visual Grounding from Event Cameras Recent event camera innovations: A survey

Reference 5

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Observation 604bbfe8-1575-49fb-b0e0-df83954a0642 · outbound

This paper cites Ani Hsieh, Christopher Korpela, Vijay Kumar, Camillo J.

Visual Grounding from Event Cameras Ani Hsieh, Christopher Korpela, Vijay Kumar, Camillo J

Reference 6

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Observation 3120291f-ef87-4642-95bd-780b57ec269a · outbound

This paper cites Chang, and Matthias Nießner.

Visual Grounding from Event Cameras Chang, and Matthias Nießner

Reference 7

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Observation 9dd5731d-f533-444f-9522-fec36163e9a6 · outbound

This paper cites Ecmd: An event- centric multisensory driving dataset for slam.IEEE Trans- actions on Intelligent Vehicles, 9(1):407–416, 2024.

Visual Grounding from Event Cameras Ecmd: An event- centric multisensory driving dataset for slam.IEEE Trans- actions on Intelligent Vehicles, 9(1):407–416, 2024

Reference 8

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Observation 8449ba3d-9002-4fe7-af7e-5478e78a9ba0 · outbound

This paper cites Label-free event-based object recognition via joint learning with image reconstruction from events.

Visual Grounding from Event Cameras Label-free event-based object recognition via joint learning with image reconstruction from events

Reference 9

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Observation 1ebde21e-ece5-44c5-abea-f91f2ac3c1bd · outbound

This paper cites Hue dataset: High-resolution event and frame sequences for low-light vision.

Visual Grounding from Event Cameras Hue dataset: High-resolution event and frame sequences for low-light vision

Reference 10

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Observation 2de6aadd-110a-4a02-afae-093159054501 · outbound

This paper cites an unresolved cited work.

Visual Grounding from Event Cameras Unresolved cited work

Reference 11

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Observation c19388c7-655a-4400-9167-f201aef53796 · outbound

This paper cites Event-based vision: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(1):154–180, 2022.

Visual Grounding from Event Cameras Event-based vision: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(1):154–180, 2022

Reference 12

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Observation cb074fa5-adc8-4d99-b9f9-b002b0c68582 · outbound

This paper cites Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras.

Visual Grounding from Event Cameras Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras

Reference 13

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source=pdf_text observed=2026-08-04T18:53:17.922881Z digest=sha256:b606bd966e6ba202d5b3bf7b80ec44d358a0481757c7674e5a80b9e1957e88ef

Observation 18caaa36-f412-4dfe-9ea3-e6e7f4bf35ec · outbound

This paper cites Low-latency auto- motive vision with event cameras.Nature, 629(8014):1034– 1040, 2024.

Visual Grounding from Event Cameras Low-latency auto- motive vision with event cameras.Nature, 629(8014):1034– 1040, 2024

Reference 14

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Observation 5fdf2387-b515-48bf-95b0-dcea9ddbb869 · outbound

This paper cites Derpa- nis, and Davide Scaramuzza.

Visual Grounding from Event Cameras Derpa- nis, and Davide Scaramuzza

Reference 15

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source=pdf_text observed=2026-08-04T18:53:18.202202Z digest=sha256:53af2aa888cf1ad37b7d51afb1eb40b529edf3b0c026793777fedaf941a634ba

Observation 1a25491f-8afb-4728-b0d6-35c88699b11e · outbound

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

Visual Grounding from Event Cameras Recurrent vision transformers for object detection with event cameras

Reference 16

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source=pdf_text observed=2026-08-04T18:53:18.285558Z digest=sha256:02bebc5155d7faf8810b6ef88b43d364b333e75c3e88e093fa7d47bc16abda93

Observation 3c0223c5-0866-42c2-8e35-87e5fc47245e · outbound

This paper cites Dsec: A stereo event camera dataset for driving scenarios.RA-L, 6(3):4947–4954, 2021.

Visual Grounding from Event Cameras Dsec: A stereo event camera dataset for driving scenarios.RA-L, 6(3):4947–4954, 2021

Reference 17

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source=pdf_text observed=2026-08-04T18:53:18.440348Z digest=sha256:7db32a0e3e95d658745f9c7197fa5853f05f826c30a6840a3bf1dc25318ba0d8

Observation 38aad683-308f-4962-81d7-1aa0b95ee867 · outbound

This paper cites Hierarchical neural memory network for low latency event processing.

Visual Grounding from Event Cameras Hierarchical neural memory network for low latency event processing

Reference 18

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source=pdf_text observed=2026-08-04T18:53:18.547303Z digest=sha256:ac70dd0fae8f7c6e05cec3d1141a50e959b756d2bf29a414d007552a672ccb8c

Observation 38340529-7389-4bde-9620-4e99574ff1b9 · outbound

This paper cites EvSegSNN: Neuromorphic Semantic Segmentation for Event Data.

Visual Grounding from Event Cameras EvSegSNN: Neuromorphic Semantic Segmentation for Event Data

Reference 19

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source=pdf_text observed=2026-08-04T18:53:18.693039Z digest=sha256:e80553352e12cce2d5e0a9d56ef68ff9d9de22b93fbcdda92980da4349b7cd16

Observation fbdb2d52-d332-4dfb-8201-ca949ba2871f · outbound

This paper cites Event-aided direct sparse odometry.

Visual Grounding from Event Cameras Event-aided direct sparse odometry

Reference 20

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source=pdf_text observed=2026-08-04T18:53:18.804191Z digest=sha256:32ebaefa85b789112f0cf301f9d4ebecbb57044a80875b8c63196b082dbfd410

Observation c1612e61-40f1-48e5-8a64-d4f37246e77b · outbound

This paper cites Bottom up top down detection transform- ers for language grounding in images and point clouds.

Visual Grounding from Event Cameras Bottom up top down detection transform- ers for language grounding in images and point clouds

Reference 21

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source=pdf_text observed=2026-08-04T18:53:18.904765Z digest=sha256:3a983e2adea618aa8b063e4fcdc70ade0dfd8586a68d1986bfd73b53383879b2

Observation e6cf6090-8380-4912-91a8-0dcf3bd6087f · outbound

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

Visual Grounding from Event Cameras To- wards robust event-based networks for nighttime via un- paired day-to-night event translation

Reference 22

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source=pdf_text observed=2026-08-04T18:53:19.007993Z digest=sha256:9faf07042738cda2d424188d3340c87750826addad0aaf597c1db1fcbb320a89

Observation b07174ee-b7ff-4c9b-afe7-69ff6ceb6594 · outbound

This paper cites Efficient learning of event-based dense representation using hierarchical mem- ories with adaptive update.

Visual Grounding from Event Cameras Efficient learning of event-based dense representation using hierarchical mem- ories with adaptive update

Reference 23

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Observation 8de88b94-d785-436a-a551-ea26c542909e · outbound

This paper cites Mdetr- modulated detection for end-to-end multi-modal understand- ing.

Visual Grounding from Event Cameras Mdetr- modulated detection for end-to-end multi-modal understand- ing

Reference 24

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Observation 5f94b1a8-501b-4bfb-a98b-b86d1f6d491f · outbound

This paper cites N-imagenet: Towards robust, fine-grained object recognition with event cameras.

Visual Grounding from Event Cameras N-imagenet: Towards robust, fine-grained object recognition with event cameras

Reference 25

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source=pdf_text observed=2026-08-04T18:53:19.332871Z digest=sha256:de8a9192c6c1d8afe4904d7406d8da9459be8d91f25a7379ee66b16118444a99

Observation e636b6b6-0efd-44cf-a42e-336769241ac4 · outbound

This paper cites Text2pos: Text-to-point-cloud cross-modal localiza- tion.

Visual Grounding from Event Cameras Text2pos: Text-to-point-cloud cross-modal localiza- tion

Reference 26

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source=pdf_text observed=2026-08-04T18:53:19.384828Z digest=sha256:52cca264d16f159cba3b26ff3c69589c61d64b436542da87c91904b770a8b4e7

Observation 591eee3d-5201-400a-a832-6d45a007cf84 · outbound

This paper cites Cot- tereau, and Wei Tsang Ooi.

Visual Grounding from Event Cameras Cot- tereau, and Wei Tsang Ooi

Reference 27

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source=pdf_text observed=2026-08-04T18:53:19.470423Z digest=sha256:40fe64c23763585f22846fec8dddb6b59fbcc6bf9a8d6af65ef7133ed9511beb

Observation 0cec2ff5-7746-4472-8cd6-c47af8cb8d5c · outbound

This paper cites Cottereau.

Visual Grounding from Event Cameras Cottereau

Reference 28

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Observation 7959cc76-6d31-4504-bdae-4f24635120d7 · outbound

This paper cites Geochat: Grounded large vision-language model for remote sensing.

Visual Grounding from Event Cameras Geochat: Grounded large vision-language model for remote sensing

Reference 29

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source=pdf_text observed=2026-08-04T18:53:19.618601Z digest=sha256:c86cd34ddaf29d2f6a0a7ed0ab305b0c488bb53f10adfa52f5381015f24c0a51

Observation c4b6f792-9791-421a-954e-bf645d135e37 · outbound

This paper cites Seeground: See and ground for zero-shot open- vocabulary 3d visual grounding.

Visual Grounding from Event Cameras Seeground: See and ground for zero-shot open- vocabulary 3d visual grounding

Reference 30

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Observation 32ce420a-2a4b-4cc4-8520-fc47f1705e98 · outbound

This paper cites Wildrefer: 3d object localization in large-scale dynamic scenes with multi-modal visual data and natural language.

Visual Grounding from Event Cameras Wildrefer: 3d object localization in large-scale dynamic scenes with multi-modal visual data and natural language

Reference 31

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source=pdf_text observed=2026-08-04T18:53:19.772654Z digest=sha256:20924c90873cb97a2423fa09b86218424a8683dca139aa66b5977dfa4ef4ecbe

Observation 78f4b495-06a5-4a18-824a-f05c2809d2e7 · outbound

This paper cites Context-aware biaffine localizing network for temporal sentence grounding.

Visual Grounding from Event Cameras Context-aware biaffine localizing network for temporal sentence grounding

Reference 32

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Observation 81f6967e-e016-4b5a-89ec-df26cbbb2dcf · outbound

This paper cites Explor- ing optical-flow-guided motion and detection-based appear- ance for temporal sentence grounding.IEEE Transactions on Multimedia, 25:8539–8553, 2023.

Visual Grounding from Event Cameras Explor- ing optical-flow-guided motion and detection-based appear- ance for temporal sentence grounding.IEEE Transactions on Multimedia, 25:8539–8553, 2023

Reference 33

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Observation 9b9c0c3d-8455-4aa1-bcb5-17bf349d7ccf · outbound

This paper cites A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions.

Visual Grounding from Event Cameras A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions

Reference 34

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source=pdf_text observed=2026-08-04T18:53:20.096462Z digest=sha256:59a5e70af237e13c331fc7652f52785fdd85914212e182ca3f398639aca50c69

Observation e163339a-9e25-4824-b2a7-1d658ec8ee71 · outbound

This paper cites Flexevent: Towards flexible event-frame object detection at varying operational frequen- cies.arXiv preprint arXiv:2412.06708, 2024.

Visual Grounding from Event Cameras Flexevent: Towards flexible event-frame object detection at varying operational frequen- cies.arXiv preprint arXiv:2412.06708, 2024

Reference 35

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Observation d5f91996-8210-4f01-9f8b-73897c6ad2b7 · outbound

This paper cites Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso Garc´ıa, and Davide Scaramuzza.

Visual Grounding from Event Cameras Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso Garc´ıa, and Davide Scaramuzza

Reference 36

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Observation 7eaba23c-de75-4a18-b29e-0224efeb4b8a · outbound

This paper cites Cityrefer: geography-aware 3d visual grounding dataset on city-scale point cloud data.

Visual Grounding from Event Cameras Cityrefer: geography-aware 3d visual grounding dataset on city-scale point cloud data

Reference 37

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source=pdf_text observed=2026-08-04T18:53:20.381657Z digest=sha256:ca8769cb553c0480f38b961e4a2a6bf04251efa8a3b2c206879bf06c57a1ba89

Observation 7797965c-a0eb-4c28-9a81-6761acaf2ef3 · outbound

This paper cites Continuous-time visual-inertial odometry for event cameras.IEEE Transactions on Robotics, 34(6): 1425–1440, 2018.

Visual Grounding from Event Cameras Continuous-time visual-inertial odometry for event cameras.IEEE Transactions on Robotics, 34(6): 1425–1440, 2018

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source=pdf_text observed=2026-08-04T18:53:20.428654Z digest=sha256:3dc2a512a09782cea8f0009ba8359899f2f19b2b047d38df9e606079897fd877

Observation aff60c32-9c5d-4d1f-ba0b-d1404e72fcb1 · outbound

This paper cites Learning to detect objects with a 1 megapixel event camera.

Visual Grounding from Event Cameras Learning to detect objects with a 1 megapixel event camera

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source=pdf_text observed=2026-08-04T18:53:20.529010Z digest=sha256:afd6c37e7286afca541531fa4ec747d70812e90515378c2a41e2a08f5dd7a940

Observation 332ce6a3-269d-43a1-a833-8c0fee9fb132 · outbound

This paper cites EventSleep: Sleep Activity Recognition with Event Cameras.

Visual Grounding from Event Cameras EventSleep: Sleep Activity Recognition with Event Cameras

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source=pdf_text observed=2026-08-04T18:53:20.590680Z digest=sha256:adcbf597bf2181b73130f738a133338b7b7e3ed501668f8e9a345d2fbe85dad5

Observation f2fb0a5a-ad70-4f47-bf88-903ebd005715 · outbound

This paper cites A qvga 143 db dynamic range frame-free pwm image sensor with lossless pixel-level video compression and time-domain cds.IEEE Journal of Solid-State Circuits, 46(1):259–275, 2010.

Visual Grounding from Event Cameras A qvga 143 db dynamic range frame-free pwm image sensor with lossless pixel-level video compression and time-domain cds.IEEE Journal of Solid-State Circuits, 46(1):259–275, 2010

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source=pdf_text observed=2026-08-04T18:53:20.672133Z digest=sha256:9375db9fbfe8d74c469a1b78ae238011a7467a60a59a3d1c567649b2a6cc0d52

Observation 00b2254c-78ae-405e-9459-e2311cf5c01c · outbound

This paper cites High speed and high dynamic range video with an event camera.IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(6):1964–1980, 2019.

Visual Grounding from Event Cameras High speed and high dynamic range video with an event camera.IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(6):1964–1980, 2019

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source=pdf_text observed=2026-08-04T18:53:20.707806Z digest=sha256:209eaa779e7bc97342d60bac28fd80697ebaf0898b5e55ebd06edce92da9c4df

Observation 0108e2a9-53a4-479c-b8b5-f645d079c93a · outbound

This paper cites 4.1 a 640×480 dynamic vision sensor with a 9µm pixel and 300meps address-event representation.

Visual Grounding from Event Cameras 4.1 a 640×480 dynamic vision sensor with a 9µm pixel and 300meps address-event representation

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source=pdf_text observed=2026-08-04T18:53:20.784390Z digest=sha256:fe5ce21282fcb7f1cd59ce48988fd28495e2f582b8ecba457e57030a88be9f21

Observation 6f7544a8-8eb7-465f-bcf7-c4e5bb0bdcbd · outbound

This paper cites Neuromor- phic stereo vision: A survey of bio-inspired sensors and al- gorithms.Frontiers in Neuroscience, 13:28, 2019.

Visual Grounding from Event Cameras Neuromor- phic stereo vision: A survey of bio-inspired sensors and al- gorithms.Frontiers in Neuroscience, 13:28, 2019

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source=pdf_text observed=2026-08-04T18:53:20.859457Z digest=sha256:e1ed1beb539c77a131e7ff68f626e1121d3bce5f7ab0a5b7a325370ddcf4056b

Observation 8fb4ab4e-9312-4d6a-9754-2bf1df0567a6 · outbound

This paper cites Visual grounding in remote sensing images.

Visual Grounding from Event Cameras Visual grounding in remote sensing images

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source=pdf_text observed=2026-08-04T18:53:20.943356Z digest=sha256:4e8ec87c46581ba720ef53924548b7bc275f6e7e338bdf8de485d363d5b7180f

Observation 0b04a64b-0355-4c43-8873-c722343a8487 · outbound

This paper cites Ess: Learning event-based semantic seg- mentation from still images.

Visual Grounding from Event Cameras Ess: Learning event-based semantic seg- mentation from still images

Reference 46

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source=pdf_text observed=2026-08-04T18:53:20.993119Z digest=sha256:737e5566e9eb409d7d902600d3603f05a7751f4687655813c92d5df9af78ba55

Observation 8d483adc-a39f-4594-99ec-220cb171a105 · outbound

This paper cites Learning two-branch neural networks for image-text match- ing tasks.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 41(2):394–407, 2018.

Visual Grounding from Event Cameras Learning two-branch neural networks for image-text match- ing tasks.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 41(2):394–407, 2018

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source=pdf_text observed=2026-08-04T18:53:21.053055Z digest=sha256:1a441246ffc2b0cd3496a7088d6bc3018b126a819542beb7b55e900c0fe9bde5

Observation 5cca9e3e-b8e9-4a4e-bc29-1f194ac66429 · outbound

This paper cites Neighbourhood watch: Refer- ring expression comprehension via language-guided graph attention networks.

Visual Grounding from Event Cameras Neighbourhood watch: Refer- ring expression comprehension via language-guided graph attention networks

Reference 48

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source=pdf_text observed=2026-08-04T18:53:21.153297Z digest=sha256:c8d83b20bf23221df3bd7a8e3fae4e501e08558291f609a8d1d3716effaa50d6

Observation 7a07f36c-2589-4d7c-a274-8275e3410f27 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Visual Grounding from Event Cameras Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

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source=pdf_text observed=2026-08-04T18:53:21.269032Z digest=sha256:db0ff4cb1299fc5f75b00d670dfbe6115f6889888697f05d1e57f239da383e5d

Observation 0f606fb3-f844-41b5-9327-c57890a026dc · outbound

This paper cites Event stream-based visual object tracking: A high-resolution benchmark dataset and a novel baseline.

Visual Grounding from Event Cameras Event stream-based visual object tracking: A high-resolution benchmark dataset and a novel baseline

Reference 50

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source=pdf_text observed=2026-08-04T18:53:21.392604Z digest=sha256:3415b3ab9d93a21c033d9855e9d7f74a0a8b71a47aac12b9ae37e982d0a9de49

Observation bab512a4-d63b-4a10-8ebd-e5db0b04b08c · outbound

This paper cites Referring multi- object tracking.

Visual Grounding from Event Cameras Referring multi- object tracking

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source=pdf_text observed=2026-08-04T18:53:21.510900Z digest=sha256:901c03b599ed30b3dcadb8cb9c670e2845577460b7944059b275fd059b04488f

Observation ad0a6862-d22b-4657-b5ea-39f04328f843 · outbound

This paper cites To- wards open vocabulary learning: A survey.IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 46(7): 5092–5113, 2024.

Visual Grounding from Event Cameras To- wards open vocabulary learning: A survey.IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 46(7): 5092–5113, 2024

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source=pdf_text observed=2026-08-04T18:53:21.650079Z digest=sha256:ed43a317b92ca9be5e157a716b7361e692675d4deca001d535bcdc3183f6f89d

Observation 385cd3ff-286e-4e6a-a0c9-f64c48855425 · outbound

This paper cites Towards visual grounding: A survey.

Visual Grounding from Event Cameras Towards visual grounding: A survey

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source=pdf_text observed=2026-08-04T18:53:21.755383Z digest=sha256:0c195fc96f1d4d5727ccbaa51e7d7c957f2a22baf2580ba0bafb2207ac8f9011

Observation b0e9d4cf-9073-4cb4-8ff3-6630ef713b4a · outbound

This paper cites Tubedetr: Spatio-temporal video ground- ing with transformers.

Visual Grounding from Event Cameras Tubedetr: Spatio-temporal video ground- ing with transformers

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source=pdf_text observed=2026-08-04T18:53:21.857150Z digest=sha256:3596875f028923b4fb1d1af0b58db298d0bfe3be5d8a5cc3aca2b6cfb6ef4aaf

Observation 0fe1ee83-65d2-4d82-839e-69e0cba3f951 · outbound

This paper cites Cross-modal re- lationship inference for grounding referring expressions.

Visual Grounding from Event Cameras Cross-modal re- lationship inference for grounding referring expressions

Reference 55

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source=pdf_text observed=2026-08-04T18:53:21.940853Z digest=sha256:3fdbecdd379b7809e49aa7ff29b9fa7c2892c6476072dccf398e99be70d3f030

Observation 8e4bf53b-a296-4163-ae5b-1e50dd675270 · outbound

This paper cites Event camera data pre- training.

Visual Grounding from Event Cameras Event camera data pre- training

Reference 56

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source=pdf_text observed=2026-08-04T18:53:22.013876Z digest=sha256:cbf139a4d8686466c82d36ce5cde95fc14fe541f7f22786a98e28530168d0779

Observation 594b23e2-b3b7-4cb6-bc67-e01397169b92 · outbound

This paper cites A fast and accurate one- stage approach to visual grounding.

Visual Grounding from Event Cameras A fast and accurate one- stage approach to visual grounding

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source=pdf_text observed=2026-08-04T18:53:22.092359Z digest=sha256:36bcc46e7f20ac31dc2e7168ac8382ddf635394a479208999856e1aef3057586

Observation 71a4a8a0-d198-478c-811c-9e046387c748 · outbound

This paper cites Sat: 2d semantics assisted training for 3d visual grounding.

Visual Grounding from Event Cameras Sat: 2d semantics assisted training for 3d visual grounding

Reference 58

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source=pdf_text observed=2026-08-04T18:53:22.196143Z digest=sha256:9be6ddf2eda3f433857526460b853f488a4416221aa5e0c4b1a9ff564d6fc232

Observation 19cee7e2-4e60-4c8a-ba06-3df8b3fdfa8f · outbound

This paper cites Berg, and Tamara L.

Visual Grounding from Event Cameras Berg, and Tamara L

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source=pdf_text observed=2026-08-04T18:53:22.360126Z digest=sha256:0b29804159c3d12bf5bd2531b55fa34ea5a5327cc6b80eb4242f0cd9379d59df

Observation dcf04041-cd20-453d-9005-c81adb6e3d6b · outbound

This paper cites Visual programming for zero-shot open-vocabulary 3d visual grounding.

Visual Grounding from Event Cameras Visual programming for zero-shot open-vocabulary 3d visual grounding

Reference 60

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source=pdf_text observed=2026-08-04T18:53:22.495576Z digest=sha256:ec583f337b9df1fbe31bcaefac4fc8648c102444716fead72ca79eb1c52da354

Observation 14bf8ffb-8ba9-4220-8b93-2b433e6aa43f · outbound

This paper cites Rsvg: Exploring data and models for visual grounding on remote sensing data.

Visual Grounding from Event Cameras Rsvg: Exploring data and models for visual grounding on remote sensing data

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source=pdf_text observed=2026-08-04T18:53:22.642569Z digest=sha256:9bda94445011662494eda1854a57f37a82c43abae4c5858f3742eb1adfff7991

Observation 5f273e64-9f51-4d35-9c90-fb15ef10380b · outbound

This paper cites Mono3dvg: 3d visual grounding in monocular images.

Visual Grounding from Event Cameras Mono3dvg: 3d visual grounding in monocular images

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source=pdf_text observed=2026-08-04T18:53:22.740504Z digest=sha256:39b69c34d84aa375d81258df7333e52f511766eb45a3f8ca94c2a348d5c43418

Observation cd76ce6a-0972-4201-baa7-a4b241afac4d · outbound

This paper cites 3dvg- transformer: Relation modeling for visual grounding on point clouds.

Visual Grounding from Event Cameras 3dvg- transformer: Relation modeling for visual grounding on point clouds

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source=pdf_text observed=2026-08-04T18:53:22.848156Z digest=sha256:f65bfd7c752bfc322e1090ca7bad4f90b54fe07909841804b7bfcde5727b474f

Observation 44521fc0-d5f5-40f6-830f-e82b46f7d1fa · outbound

This paper cites Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks.

Visual Grounding from Event Cameras Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 64

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source=pdf_text observed=2026-08-04T18:53:22.971883Z digest=sha256:66b0b126a5857f3c85f791a27c9fc6aa3bd89f04a6c4a80a0fc87e4718b792ef

Observation d2df8b5d-4fe2-4e42-825b-09f60ac7801d · outbound

This paper cites Ex- act: Language-guided conceptual reasoning and uncertainty estimation for event-based action recognition and more.

Visual Grounding from Event Cameras Ex- act: Language-guided conceptual reasoning and uncertainty estimation for event-based action recognition and more

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source=pdf_text observed=2026-08-04T18:53:23.082614Z digest=sha256:44fc25fc7a9f6692dea4c4f1055772e3a7d1d29884b806df8ac3c340e7b6e97e

Observation 4a018cba-9848-4189-9a10-e958ee7e58bd · outbound

This paper cites GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding.

Visual Grounding from Event Cameras GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding

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source=pdf_text observed=2026-08-04T18:53:23.175900Z digest=sha256:39a095b2752c035c55319eddee68cebe13fb42807d787ce89a9448563e7aeb1f

Observation 9090ef6a-0730-4b32-956d-cee799d46982 · outbound

This paper cites The multi- vehicle stereo event camera dataset: An event camera dataset for 3d perception.RA-L, 3(3):2032–2039, 2018.

Visual Grounding from Event Cameras The multi- vehicle stereo event camera dataset: An event camera dataset for 3d perception.RA-L, 3(3):2032–2039, 2018

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source=pdf_text observed=2026-08-04T18:53:23.300547Z digest=sha256:424903438c697093df8c31b89c3ba24457ed74029570c19e19536e75ca8ce425

Observation 1938b355-d4ba-4f92-be38-5bafd677e553 · outbound

This paper cites Cear: Com- prehensive event camera dataset for rapid perception of agile quadruped robots.RA-L, 9(10):8999–9006, 2024.

Visual Grounding from Event Cameras Cear: Com- prehensive event camera dataset for rapid perception of agile quadruped robots.RA-L, 9(10):8999–9006, 2024

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source=pdf_text observed=2026-08-04T18:53:23.400359Z digest=sha256:cfe1ec176409eacc824fcdb92c911b08e78d786fae3557fadf90a2a4515ac3e9

Pith citing papers

No inbound Pith citation observations are available.