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Paper Citation Record · LEDGER

Visual Grounding from Event Cameras

As of 18 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 2026-08-18T06:34:40.430872+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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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:e1fbe87a63a299e9d8d474db3a63f75ef95a5db962060c1f449c077ab33a94b0

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=sha256:636c7fc9ff9a3dfdd7501ef7b5f4fbb69336a3ba60cfda766e13cfd6f902500a

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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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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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=sha256:6b38c7f8e7f2950d9a86c96dac8023743590df0a42e24762029e3e6d64eb29b8

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=sha256:0e68759e6930c19d6f4ab961564953db2df3b3aca9b510a24bc968f3cff0e8e4

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:a747a3b5bbb388a5edf1b9d0a54ae8f96eb7e2e692565aa0d594f361dcc5284f

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=sha256:434d67f7f22c8dcbd98d36dccf05b940ff2b3c3ef380a40ca4cdc9526fad0607

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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source=pdf_text observed=2026-08-04T18:53:19.219250Z digest=sha256:0023646b226c9a0a5653b93b957b4d81817cdf293ff49d68afc41029c84dc6ed

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:fc2485a3cad14adfbf351bf5d777f26c31a6fede960c94bfade4edcfe4338c8c

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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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:f11be811644586ab7987a4d15d60598f6b833b2b8cc82f807a7c72a428f28fb6

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:b8c5c83508e5f3f4b9cd5e7f32c3f39b31b305213bcac94db0afe20c72cbd89b

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=sha256:8e0cb504416ca26f6305f8388f885b03915a1de1025cb1ec08068701e50350ca

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:c1da314c937f68bcf9ef2309da4e229f78c7c790097faa34b0e5cb99f2d54a55

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=sha256:4223248756f7cc29b27ff614f8d116433891d994be22448e94b2d20350f324e2

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=sha256:49fa8b9669f27bfcbb1dd1e4a56a8200b823d163df92f9f4bb4dd98eedcc2e51

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=sha256:17cac17876afc76b0a19274dc7ba967f3cae12122de9773f01881eef5eaa0579

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:dfea55baa4c32b6e40ef947f96254cef90ca5ed4b0b3d852715767bd7f27552d

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=sha256:91be9a414cdbcb7852633d74c7bd31aee63f1110f309177ca157a1f6617fb7dd

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=sha256:88276466add69cc960093a72ef97c2ef64e6daa5d837582583ae76b84e07df58

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=sha256:768b991fe7708afc03eea3202971b1d8e58240d1d3f6cfedcc5dfcecfd9eacab

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=sha256:73c43bb2ea86802881a24026667c7e61faccb352a596a17fa9ce95325b83e96c

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=sha256:04b4cd6903f80e115261a51f7f0077e566302f3fda348daee0c3f2ed1dab3d46

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=sha256:8a378a05af6652149ca211bfb47ec3c772082c4823541f55830c7b00f3e7f208

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=sha256:61efebb6258c7e9d92b575071bee90ed9c0690b3c77fbb0bb8d307e6c632bcf0

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:ae3ff9b5d485e94ab07f7452ffac4e1a403dc14ab4863ec31a9ddc8484d38c45

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:c787e407704aa8c4df878a1119fa8595b5eb19fa0acbd90d75194e0b6fbe073c

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:e8bdfe9af3484ac5fffacadd2a7f32ed272f7294e0f882611863e0b348a623a7

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:fec01d51fc7e699a02692fbd5b65cef1dc3c388977ee901a279ca9f4e5c16a61

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=sha256:79acd1d27ec8809e0e4467dccd1734b2abfe73138230457aecf8be33e9daa13e

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=sha256:1bf060d80f0d03b5939b1867b61e52a4d3e0016da162dc7803584452433cec3a

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:e4e39c764e4b4d145ef04d8970cab4f76061cf6acde2b6dcb10baac13216409d

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:c74d9b0ef7b246b4830907867d4247dd58a6b8ef58159cafb505936f1274a535

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:e66d6784325a54e2e5b385780f2c5be3ce24dc95b0d7c1abf3e57487a6c317ac

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:a0e8a0c8f02e0464744e127e55c8e84d5feb7763adb150aa75d04be3e9a97aa9

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=sha256:09f55e2435840b5e00293b8277a7933de477073561219c7a5725f52eb7b2b2f1

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=sha256:615154e5c383b89b2c9dacb7b33b233598f084074f444b71497b73409ee897c5

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=sha256:74a402b70dfb294a90bb469864a4c7f6998f21a1674a5577f23b310847db0b74

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=sha256:209cff67537324f9e4754c5da6d712ddcf77b036a25ee7a824bf110427d8b955

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=sha256:174ab1e4c815b75b5fd52c0a87eef92aa411b7293a578709c2602a2931ef4201

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=sha256:06be43ae0f98516004e9384e525b444d6e0c01360bbf20417990513174ab5d35

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=sha256:0b44155bd92d42a5a2f6585c9198bb7955b771b7e511dc4594b34760f5d0f006

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=sha256:96df914056d184eebe46ce184610d1655bd7e20c6968c0f8dca1df45e11652aa

Pith citing papers

No inbound Pith citation observations are available.