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Paper Citation Record · LEDGER

Visual Grounding from Event Cameras

As of 9 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 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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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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  • unresolved68
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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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source=pdf_text observed=2026-08-04T18:53:16.779199Z digest=sha256:49f431df22b6fd03b7ab987aed1aff850f51dd22121182ad3d60fc1a58fed094

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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source=pdf_text observed=2026-08-04T18:53:17.025049Z digest=sha256:3b809b9bf84db080e3d5e7ddf2b7575af3da44d767107b2c024fae276a08c453

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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source=pdf_text observed=2026-08-04T18:53:17.718226Z digest=sha256:1f057414c5956efb2057a00a0ad620c7a962d9061b5838996de6c0fdfc6f3282

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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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=sha256:62a7c9f4b0210f2c3381f7dca3b671cc2ec37beb520a2ba58fcdb9ebfc384a14

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=sha256:69ef0556948dd66cc223d1df341c93d2acd09079b7fb27e5069209cdac1d6d92

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:c482905bde1d44900784bcf10861ce1a6f4cce30e8782c2051faff0bef3995d2

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:f00c1a9b4d7aed152717f30ef576306299717889c7d0f39bdda93d6060d3a971

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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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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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=sha256:4636cd5e423e3f13c17f6c5299dbdb1139be3de12875735ce10a2f8cb7076cd7

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=sha256:018f03a8adc093fad7f9ade1c243187b21917e30b97b2e9ed420cf11f3165951

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=sha256:54e975bcd4f4fb5482fb47f028cd8e3e5bed2496d63e24b4c9e95f5eabd7b39b

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

This paper cites Cottereau.

Visual Grounding from Event Cameras Cottereau

Reference 28

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source=pdf_text observed=2026-08-04T18:53:19.515309Z digest=sha256:ad77f8b660b56136e2ef593f36e198f8a67d2d5633550cd2e84a30a786322eda

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=sha256:7580d32f5bc4bf15da7d849d534d31273897c11b5f409287625747065c44961a

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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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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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=sha256:75cc80d1f24ca0871d7d8a0ccdaec147c83c70b28cfe13d369a8d0f416b4a7fd

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=sha256:6b7130708f41f77c31d50b23d42c187b545ed390b6de87f6abcb962ea5409eb2

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=sha256:1446e35f7f3174f065fd7368e9ccc3a0d16af8cb1c662de4277152cf8d0888c7

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=sha256:4eb773197560c301ba4f8047730b0af1b552732f273ca95c142ad8bd0ef0d06a

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=sha256:6ac1990b565c430e102795dfabad06f404a5ae6924e91d8f4c44db1931ff69e1

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=sha256:6d2d469971c1a66c30db922e402d6ad101deb1958469d7c1bf7c68b39c164cc7

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:cf12389966998266ffb4a9c34edfc0614003db2e82b0e2ff0115caffb7da3965

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=sha256:18f8e753076b753b6f314706b2b17e0678c617e89a599074f15a78dfbca98e04

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=sha256:42b7489b565a73e7f20a1d59ec010a5cb747e18168dfb5b3c346492b10fc2245

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

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source=pdf_text observed=2026-08-04T18:53:20.993119Z digest=sha256:b39081c016a11ae57c3d9a4c8d04b70949140561cd99c1f38feee722d14a9294

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:ff94cba7c977c226320ef35425682eb1767d87bc8b22f4bf15849f83db0e0653

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

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source=pdf_text observed=2026-08-04T18:53:21.153297Z digest=sha256:4cd4acf7291a1403452273f294fac2953d5e07c80b50be1f9d266e7cd61ecc6e

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:b8591c322ab13e1f02bc1c3cb65c2a25222b471cdadb257b0c488ac0dc19c3cb

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

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source=pdf_text observed=2026-08-04T18:53:21.392604Z digest=sha256:22333839a2009264e9631a6ef11cc032621b7c0d0ff8ad69046a2f54bcc474ec

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=sha256:297f8f0e14f6b32a9fd2a1fcd8e6ec97de2c46c896346382b7d47c70bf5e7cca

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=sha256:3727ca2fa1a6aeaad739fe07c7f6af64913bde9ed5c88781584a391550e66ba4

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=sha256:98389c4b681f01972da790a297fd4d638e987d833b3570142f7139c23e600c7d

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:d2951d6d6c2bc0d01e716e9e3b326ae0fa381f519a0b6b7e1674772b8e1f538b

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

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source=pdf_text observed=2026-08-04T18:53:21.940853Z digest=sha256:0bd5701ad23f1a531d898df13967a9f57bb9cf6bbed46d561116b1d93179c602

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

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source=pdf_text observed=2026-08-04T18:53:22.013876Z digest=sha256:b453e22f3e7412b0d5957bda1ed9ef87bfa4ceed6357324a4bd390b6e80a881e

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:d8a4ec1e2abade948a01cf18c3f9506c6d36f230df7de83607c7d33b1023df89

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

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source=pdf_text observed=2026-08-04T18:53:22.196143Z digest=sha256:3245fce72845ff59002e24ea3230cda07aaa5072e3321fa0475a98320e698c00

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=sha256:0b5166aa5c334685e3705f5c8d9b812525f3862f94d66bd20a70d168ea5f63f0

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

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source=pdf_text observed=2026-08-04T18:53:22.495576Z digest=sha256:59e5ebad704bc646ca5b83d87a23e943b4b35284babae72e2892a2d75768223e

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=sha256:78a4b8cffeed3801088ec9c4cc2464460c2869f610af98b47f50fa492331431e

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:ef862f6a14d8599d6a640536cb552d7986788076c63bf0425915eb243382c65e

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:b5974e5c2fa0812079ce0cc575065f404f3ebf7e9b6ebf450cf7b0c225d5b958

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

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source=pdf_text observed=2026-08-04T18:53:22.971883Z digest=sha256:014866ee37bef953afe3416bc148c3fcae27f3c70b450ef8a37727a90be79ab4

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=sha256:9fd615c9f58bf9cfa0613b5248033c3c69904062b7f932ed3e5f98eea752de25

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=sha256:6884876c6ac3490faa17ee2b9b60ae52146d8edc6f2f1e5527e956374fc8ad47

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=sha256:4eb0e3bb9802712c91f7d35c72b28e9c7b9a99da6b4d6e07d9b4d3e58c01caca

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:b203830da113b2da6ac6d017bb048c8c0a941901f1a060fcac3db31a532b7f76

Pith citing papers

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