Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection | Paper Citation Record

Observation 1ebcde2f-3f2f-4683-933c-74874c21cc35 · outbound

This paper cites SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception

Reference 1

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Observation 291df325-1eb4-4f7d-b69a-4ac248282824 · outbound

This paper cites A low power, fully event-based gesture recognition system.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection A low power, fully event-based gesture recognition system

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.625489Z

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Observation 8218c04b-a636-4e0e-96e8-d6803e78f709 · outbound

This paper cites Monocular event-based vision for obstacle avoidance with a quadrotor.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Monocular event-based vision for obstacle avoidance with a quadrotor

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.617761Z

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

Observation 50ce73fe-0292-4819-9624-8c0a26daa4d3 · outbound

This paper cites Graph-based object classifica- tion for neuromorphic vision sensing.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Graph-based object classifica- tion for neuromorphic vision sensing

Reference 4

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Observation 08bea77a-1d60-499a-87b5-33f8db5c393d · outbound

This paper cites Graph-based spatio-temporal feature learning for neuromorphic vision sensing.IEEE Transactions on Image Processing, 2020.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Graph-based spatio-temporal feature learning for neuromorphic vision sensing.IEEE Transactions on Image Processing, 2020

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.603345Z

Source-reported events for the cited work

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

Observation 46d9e9b6-fb2b-4180-b694-89e938bff742 · outbound

This paper cites T¨onnies.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection T¨onnies

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.595113Z

Source-reported events for the cited work

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

Observation f9965a0c-eb4e-4427-aca3-e9a451425e2c · outbound

This paper cites Pedro: An event-based dataset for person detection in robotics.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Pedro: An event-based dataset for person detection in robotics

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.588227Z

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Observation d20e94b7-c534-4534-b8e0-dc4c56e4a6b1 · outbound

This paper cites How attentive are graph attention networks? InInternational Conference on Learning Representations.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection How attentive are graph attention networks? InInternational Conference on Learning Representations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.581182Z

Source-reported events for the cited work

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

Observation caf2f59e-3c76-483f-b7d3-842284fc78a0 · outbound

This paper cites Asynchronous convolutional networks for object detection in neuromorphic cameras.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Asynchronous convolutional networks for object detection in neuromorphic cameras

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.574060Z

Source-reported events for the cited work

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

Observation 2f6da0d2-ff3b-49c2-922f-f4fb3c551674 · outbound

This paper cites Recent Event Camera Innovations: A Survey.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Recent Event Camera Innovations: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:53.017356Z

Source-reported events for the cited work

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Observation 859c2de5-9912-4ca7-9008-152cf86c7c70 · outbound

This paper cites Ob- ject detection with spiking neural networks on automotive event data.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Ob- ject detection with spiking neural networks on automotive event data

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.566913Z

Source-reported events for the cited work

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

Observation e04412a8-e038-4d3d-b32f-f02630a0d10c · outbound

This paper cites Ob- ject detection with spiking neural networks on automotive event data.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Ob- ject detection with spiking neural networks on automotive event data

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.559858Z

Source-reported events for the cited work

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

Observation ddf5e2d3-6056-48bd-a3e8-d693031783d3 · outbound

This paper cites A large scale event-based detec- tion dataset for automotive, 2020.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection A large scale event-based detec- tion dataset for automotive, 2020

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.552888Z

Source-reported events for the cited work

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

Observation 3ceb40b0-01a3-47dd-84b2-b766c42c7360 · outbound

This paper cites A voxel graph cnn for object classification with event cameras.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection A voxel graph cnn for object classification with event cameras

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.545612Z

Source-reported events for the cited work

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

Observation 0ffe3b1a-690c-4ec8-9c6e-c1acc363894e · outbound

This paper cites A dynamic gcn with cross-representation distillation for event-based learn- ing.Proceedings of the AAAI Conference on Artificial Intel- ligence, 38(2):1492–1500, 2024.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection A dynamic gcn with cross-representation distillation for event-based learn- ing.Proceedings of the AAAI Conference on Artificial Intel- ligence, 38(2):1492–1500, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.538182Z

Source-reported events for the cited work

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

Observation 88bde24c-ef6f-46bd-8aa0-8707067b3c4c · outbound

This paper cites PyTorch Lightning, 2019.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection PyTorch Lightning, 2019

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.531102Z

Source-reported events for the cited work

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

Observation 5df9569d-52ed-4fbb-80fe-ee0437ed5b16 · outbound

This paper cites an unresolved cited work.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:43:53.523904Z

Source-reported events for the cited work

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

Observation cb2de199-4b9f-48bf-bf4d-1cae4955a3e6 · outbound

This paper cites Event-based, 6-dof camera tracking from photometric depth maps.IEEE transactions on pattern analysis and machine intelligence, 40(10):2402–2412, 2017.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Event-based, 6-dof camera tracking from photometric depth maps.IEEE transactions on pattern analysis and machine intelligence, 40(10):2402–2412, 2017

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.516620Z

Source-reported events for the cited work

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

Observation aba0c136-9bdc-4303-a85b-00db62800082 · outbound

This paper cites Event-based Vision: A Survey.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Event-based Vision: A Survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:53.040038Z

Source-reported events for the cited work

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Observation 325d3a95-c44e-42a6-88cb-6168f693e72c · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection YOLOX: Exceeding YOLO Series in 2021

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:53.042874Z

Source-reported events for the cited work

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Observation 3b693688-a176-4cab-be51-077575f1d667 · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Low-latency auto- motive vision with event cameras.Nature, 629(8014):1034– 1040, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.509204Z

Source-reported events for the cited work

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

Observation 8dd142cd-81f3-432d-821e-f4cf4a4cfb72 · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Recurrent vision transformers for object detection with event cameras

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.502074Z

Source-reported events for the cited work

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

Observation bbd31d99-5ad9-4579-8930-e71fdee5391a · outbound

This paper cites Dsec: A stereo event camera dataset for driving scenarios.IEEE Robotics and Automation Letters, 2021.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Dsec: A stereo event camera dataset for driving scenarios.IEEE Robotics and Automation Letters, 2021

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.495017Z

Source-reported events for the cited work

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

Observation 74e81d11-2efb-4269-ba22-a8a91eaf8d4d · outbound

This paper cites Region-based convolutional networks for accurate object detection and segmentation.IEEE transactions on pattern analysis and machine intelligence, 38(1):142–158,.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Region-based convolutional networks for accurate object detection and segmentation.IEEE transactions on pattern analysis and machine intelligence, 38(1):142–158,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.487159Z

Source-reported events for the cited work

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

Observation 80280df0-e686-47d2-be4d-310b500f50ab · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Hierarchical neural memory network for low latency event processing

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.479385Z

Source-reported events for the cited work

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

Observation 7a94ea11-2e50-46b8-947f-e13f37cad45e · outbound

This paper cites Robust estimation of a location parameter.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Robust estimation of a location parameter

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.472043Z

Source-reported events for the cited work

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

Observation 1917fabf-50b1-4896-aba0-4afb0b2f188b · outbound

This paper cites Towards event-driven object detection with off-the-shelf deep learning.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Towards event-driven object detection with off-the-shelf deep learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.464905Z

Source-reported events for the cited work

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

Observation f5ae3cab-5e96-4f4c-8e91-052949608cfd · outbound

This paper cites Memory-efficient graph convolutional networks for object classification and detection with event cameras.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Memory-efficient graph convolutional networks for object classification and detection with event cameras

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.457614Z

Source-reported events for the cited work

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

Observation 0e992ac9-33cc-4cfa-b00a-085ec952fbe6 · outbound

This paper cites Chen, Zhenshan Bing, and Alois Knoll.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Chen, Zhenshan Bing, and Alois Knoll

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.450477Z

Source-reported events for the cited work

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

Observation fb4228ae-54c4-43b8-9da6-d609096bc318 · outbound

This paper cites Mixed frame-/event-driven fast pedestrian detection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Mixed frame-/event-driven fast pedestrian detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.443053Z

Source-reported events for the cited work

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

Observation c19277f6-e19a-4298-bd25-44d811dec096 · outbound

This paper cites an unresolved cited work.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:43:53.434695Z

Source-reported events for the cited work

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

Observation 3d4afe8b-72a4-4002-989e-7a206e801eac · outbound

This paper cites Shi, and Ryad B.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Shi, and Ryad B

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.427367Z

Source-reported events for the cited work

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

Observation 1b960ca3-9406-4556-9c10-03462e3ca75f · outbound

This paper cites Asynchronous spatio-temporal memory net- work for continuous event-based object detection.IEEE Transactions on Image Processing, 2022.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Asynchronous spatio-temporal memory net- work for continuous event-based object detection.IEEE Transactions on Image Processing, 2022

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.420211Z

Source-reported events for the cited work

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

Observation 7cdb761d-cbaa-4aa7-a46a-2bd4b2699ca7 · outbound

This paper cites Graph-based asyn- chronous event processing for rapid object recognition.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Graph-based asyn- chronous event processing for rapid object recognition

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.412847Z

Source-reported events for the cited work

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

Observation b2f08b0d-5279-4d28-8496-51c4e28b5797 · outbound

This paper cites Graph-based asyn- chronous event processing for rapid object recognition.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Graph-based asyn- chronous event processing for rapid object recognition

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.405017Z

Source-reported events for the cited work

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

Observation 525822db-ab99-4625-80e2-17fb643bde16 · outbound

This paper cites A 128×128 120 db 15µs latency asynchronous temporal con- trast vision sensor.IEEE Journal of Solid-State Circuits, 43 (2):566–576, 2008.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection A 128×128 120 db 15µs latency asynchronous temporal con- trast vision sensor.IEEE Journal of Solid-State Circuits, 43 (2):566–576, 2008

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:53.082476Z

Source-reported events for the cited work

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Observation 3c3d12e1-dd3b-49e4-855a-4474200c9ebf · outbound

This paper cites Microsoft coco: Common objects in context.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Microsoft coco: Common objects in context

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:53.085157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37822321-5307-455e-ac38-f7b2f22ba8ff · outbound

This paper cites Event-based asynchronous sparse con- volutional networks.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Event-based asynchronous sparse con- volutional networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.388029Z

Source-reported events for the cited work

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

Observation d7c80ffd-8dd7-4163-9d8b-acb85c760383 · outbound

This paper cites Event-based asynchronous sparse con- volutional networks.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Event-based asynchronous sparse con- volutional networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.380697Z

Source-reported events for the cited work

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

Observation f4b7255f-3d19-478e-8c9e-7b2f7469eb9f · outbound

This paper cites Learning visual motion segmentation using event surfaces.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Learning visual motion segmentation using event surfaces

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.372213Z

Source-reported events for the cited work

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

Observation 3bb8e3f1-6ea0-496e-89ab-3f6e71ae269b · outbound

This paper cites Better and faster: Adaptive event conver- sion for event-based object detection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Better and faster: Adaptive event conver- sion for event-based object detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.364802Z

Source-reported events for the cited work

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

Observation 3aad0118-e3fc-48a6-a581-5ef032668050 · outbound

This paper cites Get: Group event transformer for event- based vision.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Get: Group event transformer for event- based vision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.357518Z

Source-reported events for the cited work

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

Observation a78ee76f-6158-41e7-bba5-051c9c71684f · outbound

This paper cites Scene adaptive sparse transformer for event-based object detection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Scene adaptive sparse transformer for event-based object detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.349600Z

Source-reported events for the cited work

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

Observation ddc62e34-42e0-487b-94a4-c9c48d5cb9da · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Learning to detect objects with a 1 megapixel event camera

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.342157Z

Source-reported events for the cited work

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

Observation e068902b-53d3-44f4-8cf7-ec6ea7d31738 · 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.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection High speed and high dynamic range video with an event camera.IEEE transactions on pattern analysis and machine intelligence, 43(6):1964–1980, 2019

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:53.103574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05fcc7f7-3ccd-4223-aa30-165221d8b314 · outbound

This paper cites You only look once: Unified, real-time object de- tection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection You only look once: Unified, real-time object de- tection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.329976Z

Source-reported events for the cited work

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

Observation 0470995e-3f00-48cb-8518-0a3e0e78c1e1 · outbound

This paper cites Focal loss for dense ob- ject detection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Focal loss for dense ob- ject detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.322952Z

Source-reported events for the cited work

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

Observation aa999a51-c0e8-43c5-80c6-b1d9e8f4d313 · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:53.110574Z

Source-reported events for the cited work

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Observation 57da78b3-ab4a-414e-88ac-27942105c8da · outbound

This paper cites Aegnn: Asynchronous event-based graph neural networks.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Aegnn: Asynchronous event-based graph neural networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.315251Z

Source-reported events for the cited work

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

Observation 535caa29-d33a-4962-b9e9-775ed45ee969 · outbound

This paper cites Eventnet: Asynchronous recursive event processing.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Eventnet: Asynchronous recursive event processing

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.308068Z

Source-reported events for the cited work

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

Observation 50516eb7-47f0-4836-a0d3-61263a599ade · outbound

This paper cites Hats: Histograms of aver- aged time surfaces for robust event-based object classifica- tion.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Hats: Histograms of aver- aged time surfaces for robust event-based object classifica- tion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.300732Z

Source-reported events for the cited work

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

Observation f015f9e7-23e1-4e2d-89a3-a949a7d67a41 · outbound

This paper cites Deep directly-trained spik- ing neural networks for object detection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Deep directly-trained spik- ing neural networks for object detection

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.293189Z

Source-reported events for the cited work

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

Observation f2726e35-43b8-419a-a7bc-2173ea936733 · outbound

This paper cites etram: Event-based traffic monitoring dataset.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection etram: Event-based traffic monitoring dataset

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.285408Z

Source-reported events for the cited work

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

Observation 3154e26f-03e7-464f-ad09-5ea15cd43037 · outbound

This paper cites EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:53.125130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a57e763-4de0-402d-ac30-eef879467af5 · outbound

This paper cites Spikingvit: a multi- scale spiking vision transformer model for event-based ob- ject detection.IEEE Transactions on Cognitive and Devel- opmental Systems, 2024.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Spikingvit: a multi- scale spiking vision transformer model for event-based ob- ject detection.IEEE Transactions on Cognitive and Devel- opmental Systems, 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.277867Z

Source-reported events for the cited work

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

Observation 80b035cd-e760-43f2-9a4c-fe55f6ceeffb · outbound

This paper cites Trainable spiking-yolo for low-latency and high-performance object detection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Trainable spiking-yolo for low-latency and high-performance object detection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.270060Z

Source-reported events for the cited work

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

Observation a9808e46-9f9b-444b-a290-9160f948297a · outbound

This paper cites Deep learning for event-based vision: A comprehensive survey and bench- marks, 2023.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Deep learning for event-based vision: A comprehensive survey and bench- marks, 2023

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.260419Z

Source-reported events for the cited work

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

Observation 3dad5281-fa79-4ab2-929d-93afaa2f63d3 · outbound

This paper cites Enhancing ge- ometric factors in model learning and inference for object detection and instance segmentation.IEEE transactions on cybernetics, 52(8):8574–8586, 2021.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Enhancing ge- ometric factors in model learning and inference for object detection and instance segmentation.IEEE transactions on cybernetics, 52(8):8574–8586, 2021

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.252709Z

Source-reported events for the cited work

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

Observation ce5ad970-bd71-446b-9a5e-c101f055287f · outbound

This paper cites Event-based motion segmentation with spatio- temporal graph cuts.IEEE Transactions on Neural Networks and Learning Systems, 34(8):4868–4880, 2023.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Event-based motion segmentation with spatio- temporal graph cuts.IEEE Transactions on Neural Networks and Learning Systems, 34(8):4868–4880, 2023

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.244880Z

Source-reported events for the cited work

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

Observation a94ce581-fcaf-4171-90dc-f85fb1ae1766 · outbound

This paper cites The multi- vehicle stereo event camera dataset: An event camera dataset for 3d perception.IEEE Robotics and Automation Letters, 3 (3):2032–2039, 2018.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection The multi- vehicle stereo event camera dataset: An event camera dataset for 3d perception.IEEE Robotics and Automation Letters, 3 (3):2032–2039, 2018

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.236505Z

Source-reported events for the cited work

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

Observation 0b2b2a4d-37a6-4878-8982-c2ab1dc7ca78 · outbound

This paper cites State space models for event cameras.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection State space models for event cameras

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:53.227207Z

Source-reported events for the cited work

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

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Reference resolution

Outbound references

Pith citing papers