Paper Citation Record · LEDGER

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2504.19253.

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

pith.paper-citation-record.v1
2504.19253 v1

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Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation cd7b74b7-9693-4b96-ab8e-9a6e72740742 · outbound

This paper cites Event- based vision: A survey,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Event- based vision: A survey,

Reference 1

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This paper cites A vision chip with complementary pathways for open-world sensing,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception A vision chip with complementary pathways for open-world sensing,

Reference 2

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Observation a9d342fa-ff0f-4d87-9eba-69d965fc7fa4 · outbound

This paper cites Evk4 hd camera manual,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Evk4 hd camera manual,

Reference 3

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This paper cites Specifications – current models,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Specifications – current models,

Reference 4

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Observation be6b02c6-6531-4ae2-bdfd-dff46ea3975e · outbound

This paper cites A 240 × 180 130 db 3 µs latency global shutter spatiotemporal vision sensor,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception A 240 × 180 130 db 3 µs latency global shutter spatiotemporal vision sensor,

Reference 5

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This paper cites Specifications – davis 346,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Specifications – davis 346,

Reference 6

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Observation d17d90bf-f526-447e-9e30-c74c5282d734 · outbound

This paper cites Microsaccade-inspired event camera for robotics,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Microsaccade-inspired event camera for robotics,

Reference 7

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This paper cites Emva 1288 standard for machine vision: Objective specifica- tion of vital camera data,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Emva 1288 standard for machine vision: Objective specifica- tion of vital camera data,

Reference 8

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This paper cites A comparison between framed-based and event-based cameras for flapping-wing robot perception,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception A comparison between framed-based and event-based cameras for flapping-wing robot perception,

Reference 9

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Observation ab733da4-aa35-4d2f-b78b-edcee5271d88 · outbound

This paper cites Experimental comparison between event and global shutter cameras,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Experimental comparison between event and global shutter cameras,

Reference 10

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Observation ae1d5c4d-d874-4338-8d8d-c2f0f455b055 · outbound

This paper cites v2e: From video frames to realistic dvs events,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception v2e: From video frames to realistic dvs events,

Reference 11

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Observation 933f82a8-c90d-407d-9336-b2f84e4f1a3b · outbound

This paper cites Are High-Resolution Event Cameras Really Needed?.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Are High-Resolution Event Cameras Really Needed?

Reference 12

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This paper cites Latency correction for event-guided deblurring and frame interpolation,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Latency correction for event-guided deblurring and frame interpolation,

Reference 13

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This paper cites Deblur e-nerf: Nerf from motion-blurred events under high-speed or low-light conditions,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Deblur e-nerf: Nerf from motion-blurred events under high-speed or low-light conditions,

Reference 14

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This paper cites Eklt: Asyn- chronous photometric feature tracking using events and frames,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Eklt: Asyn- chronous photometric feature tracking using events and frames,

Reference 15

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Observation d549044c-7163-4939-9434-2d7e2d561a41 · outbound

This paper cites Evreal: Towards a comprehensive benchmark and analysis suite for event-based video re- construction,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Evreal: Towards a comprehensive benchmark and analysis suite for event-based video re- construction,

Reference 16

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This paper cites E-mlb: Multilevel benchmark for event-based camera denoising,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception E-mlb: Multilevel benchmark for event-based camera denoising,

Reference 17

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This paper cites EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset

Reference 18

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This paper cites Action recognition and benchmark using event cameras,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Action recognition and benchmark using event cameras,

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

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Event stream-based visual object tracking: A high-resolution bench- mark dataset and a novel baseline,

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This paper cites Movement detection with event-based cameras: comparison with frame-based cameras in robot object tracking using powerlink communication,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Movement detection with event-based cameras: comparison with frame-based cameras in robot object tracking using powerlink communication,

Reference 21

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This paper cites A power-performance approach to comparing sensor families, with application to comparing neuromorphic to traditional vision sensors,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception A power-performance approach to comparing sensor families, with application to comparing neuromorphic to traditional vision sensors,

Reference 22

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This paper cites A unifying contrast maximization framework for event cameras, with applications to motion, depth, and optical flow estimation,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception A unifying contrast maximization framework for event cameras, with applications to motion, depth, and optical flow estimation,

Reference 23

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Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Moveenet: online high-frequency human pose estimation with an event camera,

Reference 24

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This paper cites Analysis of encoding degradation in spiking sensors due to spike delay variation,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Analysis of encoding degradation in spiking sensors due to spike delay variation,

Reference 25

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Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception High speed and high dynamic range video with an event camera,

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Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Code of

Reference 27

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Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Poisson matting,

Reference 28

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Observation 9121d8e2-ddf0-457b-98a4-315612267d37 · outbound

This paper cites Time lens: Event-based video frame interpolation,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Time lens: Event-based video frame interpolation,

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Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception No-reference image quality assessment in the spatial domain,

Reference 30

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Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Good features to track,

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Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Asynchronous corner detection and tracking for event cameras in real time,

Reference 32

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This paper cites Ev-flownet: Self-supervised optical flow estimation for event-based cameras,.

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception Ev-flownet: Self-supervised optical flow estimation for event-based cameras,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:01:59.670550Z

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Pith citing papers

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