Paper Citation Record · LEDGER

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events

As of 14 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 2 inbound Pith citation observations for arXiv:2411.18658.

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

pith.paper-citation-record.v1
2411.18658 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:32:36.729265Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T08:08:21.721334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:08:46.760686Z

Reference resolution

81 of 81 outbound references displayed

verified exact0
verified fuzzy75
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e583ba3-4ef4-49c2-9162-b87c08b1dae3 · outbound

This paper cites Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T11:32:36.404459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce01ab8-6e74-4153-acf6-e1331e02e07e · outbound

This paper cites A hybrid ann-snn architecture for low-power and low-latency visual perception.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events A hybrid ann-snn architecture for low-power and low-latency visual perception

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T11:32:36.409636Z

Source-reported events for the cited work

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Observation d87d8506-7b75-4da5-85d9-c3a2a5b9a6ed · outbound

This paper cites Spiking centernet: A distillation-boosted spiking neural network for object detec- tion.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Spiking centernet: A distillation-boosted spiking neural network for object detec- tion

Reference 3

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Observation 5c4523ea-d7c4-4470-84ab-22507854c919 · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events A 240 × 180 130 db 3 µs latency global shutter spatiotemporal vision sensor

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.793849Z

Source-reported events for the cited work

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Observation 4c742374-6185-40eb-887d-456ceb3a6f1d · outbound

This paper cites Fusion-based feature attention gate component for vehicle detection based on event camera.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Fusion-based feature attention gate component for vehicle detection based on event camera

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.780120Z

Source-reported events for the cited work

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Observation 0a05a664-f011-45eb-adb0-87614d05dbd2 · outbound

This paper cites Chasing day and night: Towards ro- bust and efficient all-day object detection guided by an event camera.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Chasing day and night: Towards ro- bust and efficient all-day object detection guided by an event camera

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.765813Z

Source-reported events for the cited work

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Observation 358f5892-a793-46f5-b8e2-078532afd295 · outbound

This paper cites A fully spiking hybrid neural network for energy-efficient object detection.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events A fully spiking hybrid neural network for energy-efficient object detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.752500Z

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Observation fdc0ad22-7aea-438b-bd9e-40b1fac8a49a · outbound

This paper cites Pseudo-labels for supervised learning on dynamic vision sensor data, applied to object detection under ego-motion.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Pseudo-labels for supervised learning on dynamic vision sensor data, applied to object detection under ego-motion

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.739549Z

Source-reported events for the cited work

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Observation 4f741cc5-122e-4e61-becc-933bf0082298 · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Ob- ject detection with spiking neural networks on automotive event data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.724427Z

Source-reported events for the cited work

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Observation 46000da2-2422-476c-ab57-decef986683a · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events A large scale event-based detec- tion dataset for automotive

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.710688Z

Source-reported events for the cited work

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Observation 27e84821-3f48-4158-a0e7-1e134c08457b · outbound

This paper cites Rethink- ing the performance comparison between snns and anns.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Rethink- ing the performance comparison between snns and anns

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.697445Z

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Observation 9011bd04-a990-4f10-b24e-18283013de16 · outbound

This paper cites Repvgg: Making vgg-style convnets great again.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Repvgg: Making vgg-style convnets great again

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.684048Z

Source-reported events for the cited work

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Observation 6fd7fef2-bbb6-483e-9764-db18933b0a64 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.669743Z

Source-reported events for the cited work

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Observation 562ed951-0e1b-4495-97e6-1631c556840c · outbound

This paper cites Sfod: Spiking fusion object detector.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Sfod: Spiking fusion object detector

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.656068Z

Source-reported events for the cited work

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Observation e6fc9d41-519d-4de6-8c69-5f3eae02c801 · outbound

This paper cites Event-based vision: A survey.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Event-based vision: A survey

Reference 15

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Source-reported events for the cited work

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Observation 6886b556-4400-4f27-a3a9-7d02ad8a2afb · outbound

This paper cites Low latency auto- motive vision with event cameras.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Low latency auto- motive vision with event cameras

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.634034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c5319b8d-08d4-4ad8-a1eb-253d5a6ab737 · outbound

This paper cites End-to-end learning of repre- sentations for asynchronous event-based data.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events End-to-end learning of repre- sentations for asynchronous event-based data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.621213Z

Source-reported events for the cited work

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Observation ebb249f3-bf51-4fae-872c-10d8f3cb1ceb · outbound

This paper cites Combining events and frames using recurrent asynchronous multimodal net- works for monocular depth prediction.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Combining events and frames using recurrent asynchronous multimodal net- works for monocular depth prediction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.608394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 468759c4-5115-4b86-b657-3e19e8523841 · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Recurrent vision transformers for object detection with event cameras

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.595763Z

Source-reported events for the cited work

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Observation 0dc3559b-80c2-4623-8834-b2eaa0d0cac1 · outbound

This paper cites A three-wafer-stacked hybrid 15-mpixel cis +1-mpixel evs with 4.6-gevent/s read- out, in-pixel tdc, and on-chip isp and esp function.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events A three-wafer-stacked hybrid 15-mpixel cis +1-mpixel evs with 4.6-gevent/s read- out, in-pixel tdc, and on-chip isp and esp function

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.582981Z

Source-reported events for the cited work

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Observation 0384ef23-fbdf-426f-b0fc-348a1a315f15 · outbound

This paper cites Deep spiking neural network: Energy efficiency through time based coding.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Deep spiking neural network: Energy efficiency through time based coding

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.570073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29d270f2-6f9f-4e01-a04f-e82ff8ee4dd3 · outbound

This paper cites Mask r-cnn.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Mask r-cnn

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.556628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46dbe9ac-702e-4849-a065-2f9110012aec · outbound

This paper cites Learning to exploit multiple vision modalities by using grafted networks.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Learning to exploit multiple vision modalities by using grafted networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.543626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b80eb025-413a-4404-8c58-83cc1f2f0f88 · outbound

This paper cites Fast-snn: Fast spiking neural network by converting quan- tized ann.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Fast-snn: Fast spiking neural network by converting quan- tized ann

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.529846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a2355401-7980-49cf-9412-13df41f1929a · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Towards event-driven object detection with off-the-shelf deep learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.516960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f9bbef4c-a5f6-4318-a2a1-741c6d9a1ad1 · outbound

This paper cites Nighttime traffic object detection via adaptively in- tegrating event and frame domains.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Nighttime traffic object detection via adaptively in- tegrating event and frame domains

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.504088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation db1f179e-b3f0-40ff-a0cb-0b810893de15 · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Mixed frame- /event-driven fast pedestrian detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.491246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4deb40b8-58fa-4eaf-912f-096529a5e7e2 · outbound

This paper cites Retinomorphic sensing: A novel paradigm for future multi- media computing.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Retinomorphic sensing: A novel paradigm for future multi- media computing

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.478300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c89cd093-5553-4278-b0bd-edbd131cfe8c · outbound

This paper cites Transformers in vision: A survey.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Transformers in vision: A survey

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.465356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7b539ced-aa1e-4f95-a3c3-c6a727734289 · outbound

This paper cites Spiking-yolo: Spiking neural network for energy- efficient object detection.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Spiking-yolo: Spiking neural network for energy- efficient object detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.452874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 31a82796-168e-4243-8ac2-aeed029f8307 · outbound

This paper cites Adam: A method for stochastic optimization.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Adam: A method for stochastic optimization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.440161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b2874df6-29d3-45dc-a642-916dcc6ac184 · outbound

This paper cites 1.22 µm 35.6 mpixel rgb hybrid event-based vision sensor with 4.88 µm-pitch event pixels and up to 10k event frame rate by adaptive control on event sparsity.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events 1.22 µm 35.6 mpixel rgb hybrid event-based vision sensor with 4.88 µm-pitch event pixels and up to 10k event frame rate by adaptive control on event sparsity

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.426854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 499ad9bd-fc9e-4c08-8c56-510c0e0ceac9 · outbound

This paper cites Hybrid snn-ann: Energy-efficient classifica- tion and object detection for event-based vision.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Hybrid snn-ann: Energy-efficient classifica- tion and object detection for event-based vision

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.413051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bafd9ed0-44f1-452f-ab68-24754cd15754 · outbound

This paper cites Spike- flownet: Event-based optical flow estimation with energy- efficient hybrid neural networks.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Spike- flownet: Event-based optical flow estimation with energy- efficient hybrid neural networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.399858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e2b10bad-78c2-49d4-807c-23cc6d9f94fb · outbound

This paper cites Sodformer: Streaming object detection with transformer using events and frames.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Sodformer: Streaming object detection with transformer using events and frames

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.386693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a2d5a7ee-4938-4e7b-9c7a-368403dea2cb · outbound

This paper cites Event-based vision enhanced: A joint de- tection framework in autonomous driving.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Event-based vision enhanced: A joint de- tection framework in autonomous driving

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.372732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a310063f-3140-42d9-af85-001ed4d7f483 · outbound

This paper cites Asynchronous spatio-temporal memory net- work for continuous event-based object detection.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Asynchronous spatio-temporal memory net- work for continuous event-based object detection

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.357695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9203b811-2ee4-44f5-99ab-57c068ebe84b · outbound

This paper cites Er-san: Enhanced-adaptive relation self-attention network for image captioning.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Er-san: Enhanced-adaptive relation self-attention network for image captioning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.344408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0791c0b9-8fbf-4dc3-887f-a1263b331408 · outbound

This paper cites Object-centric cross- modal feature distillation for event-based object detection.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Object-centric cross- modal feature distillation for event-based object detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.330834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 665399f4-655e-49bf-a5f6-9e030df36eba · outbound

This paper cites Spike calibration: Fast and accurate conversion of spiking neural network for object detection and segmenta- tion.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Spike calibration: Fast and accurate conversion of spiking neural network for object detection and segmenta- tion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.317638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1a104f91-4c4f-4e67-9330-9373401a5e0a · outbound

This paper cites Seenn: Towards temporal spiking early exit neural networks.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Seenn: Towards temporal spiking early exit neural networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.303945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0badafda-20eb-4949-a1f0-13df4bfe00eb · outbound

This paper cites Microsoft coco: Common objects in context.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Microsoft coco: Common objects in context

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T11:32:36.573460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01ff2b8f-9f76-4592-8cb1-b90390ed9b3a · outbound

This paper cites Focal loss for dense object detection.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Focal loss for dense object detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.282008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76a905db-4c68-4bf9-b3b2-9cd894d7a4d2 · outbound

This paper cites Enhancing spiking neural net- works with hybrid top-down attention.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Enhancing spiking neural net- works with hybrid top-down attention

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.266125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 81716edb-2e89-4ac7-abc5-4ffff1b484a5 · outbound

This paper cites Mobile video object detec- tion with temporally-aware feature maps.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Mobile video object detec- tion with temporally-aware feature maps

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.252337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2849270f-1d55-4eff-b2ed-72133c36958f · outbound

This paper cites An atten- tion fusion network for event-based vehicle object detection.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events An atten- tion fusion network for event-based vehicle object detection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.238286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a84a7308-1e6d-4d09-b219-f1f4ef49a670 · outbound

This paper cites Ssd: Single shot multibox detector.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Ssd: Single shot multibox detector

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.223929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 19233bd0-e3b8-474c-9a39-d1832c8f7be2 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Swin transformer: Hierarchical vision transformer using shifted windows

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.210539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c64522fa-fcc6-471c-8be1-9b7071ecf5b5 · outbound

This paper cites A convnet for the 2020s.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events A convnet for the 2020s

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T11:32:36.601227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b5d109d-f402-490d-80a3-830010541cef · outbound

This paper cites Enhancing traffic object detec- tion in variable illumination with rgb-event fusion.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Enhancing traffic object detec- tion in variable illumination with rgb-event fusion

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.188311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e5e4e3c8-e651-45af-bf16-b50f257d3402 · outbound

This paper cites Transcod- net: Underwater transparently camouflaged object detection via rgb and event frames collaboration.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Transcod- net: Underwater transparently camouflaged object detection via rgb and event frames collaboration

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.174828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d5f19d96-2d12-40e3-bf1e-8b54a2a7d5db · outbound

This paper cites Networks of spiking neurons: the third generation of neural network models.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Networks of spiking neurons: the third generation of neural network models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.160729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 13d2153b-1d3e-481a-8edb-fd2f590ce4a4 · outbound

This paper cites A sensitive dynamic and active pixel vision sensor for color or neural imaging applications.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events A sensitive dynamic and active pixel vision sensor for color or neural imaging applications

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.147595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 896bd554-74e0-4b58-b088-4f2954f40082 · outbound

This paper cites Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spik- ing neural networks.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spik- ing neural networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.134664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 85b64815-42b3-4dd8-a191-4f3d4698bf6b · outbound

This paper cites Visual search in naturalistic scenes from foveal to peripheral vision: A com- parison between dynamic and static displays.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Visual search in naturalistic scenes from foveal to peripheral vision: A com- parison between dynamic and static displays

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.121778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 26ad2161-988b-4240-a8b1-d67ea1e4bc3b · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Better and faster: Adaptive event conver- sion for event-based object detection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.108370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf3bcbb1-8597-4e0d-b0cd-62671e1f72b5 · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Get: group event transformer for event-based vision

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.095612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dfeebf6b-4d00-47cd-af61-f90f7114a0d2 · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Scene adaptive sparse transformer for event-based object detection

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.082555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8dc7c28c-4b0a-4ece-9620-8ef6f7651571 · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Learning to detect objects with a 1 megapixel event camera

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.069229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3575c307-13db-4cbe-9bd8-1ce6581e6bbb · outbound

This paper cites Yolov3: An incremental improvement.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Yolov3: An incremental improvement

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.055971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d9509405-fe03-4fb8-8500-3a65bb89faa1 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.043172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa78326e-3182-4dda-83ad-f46b968cb223 · outbound

This paper cites Towards spike-based machine intelligence with neuromor- phic computing.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Towards spike-based machine intelligence with neuromor- phic computing

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.030104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 942fe61a-80e5-41e1-abda-6fbec6e195b8 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Dropout: a simple way to prevent neural networks from overfitting

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.016321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e21cde19-9021-46a1-8727-f0ce2ab80489 · outbound

This paper cites A review of interactions between peripheral and foveal vision.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events A review of interactions between peripheral and foveal vision

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:37.001934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f8156329-aeac-48bd-82c1-3d3e5f79d376 · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Deep directly-trained spik- ing neural networks for object detection

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.988805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6f77543d-3862-4c86-8886-64ff4510aedf · outbound

This paper cites Fusing event- based and rgb camera for robust object detection in adverse conditions.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Fusing event- based and rgb camera for robust object detection in adverse conditions

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.975391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6b97c112-3dd7-4419-ae22-a09dca6557da · outbound

This paper cites Representa- tion learning for event-based visuomotor policies.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Representa- tion learning for event-based visuomotor policies

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.962042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 81f1495b-76f2-4111-9d9c-224cc66ef09b · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.948685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d5f171d-fae8-497c-8c27-d68d5a7f7ff3 · outbound

This paper cites Dual memory aggregation network for event-based ob- ject detection with learnable representation.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Dual memory aggregation network for event-based ob- ject detection with learnable representation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T11:32:36.681765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a9b4d8f-816f-4f92-87d7-ef493f04b476 · outbound

This paper cites Understanding and improving layer normaliza- tion.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Understanding and improving layer normaliza- tion

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.927296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6d48a13d-7eb2-4775-bc83-d321c84020ad · outbound

This paper cites Dashnet: A hybrid artificial and spiking neural network for high-speed object tracking.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Dashnet: A hybrid artificial and spiking neural network for high-speed object tracking

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.914105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a960eb1d-3bee-4cf5-8753-af2eb89a9c10 · outbound

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

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Trainable spiking-yolo for low-latency and high-performance object detection

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.901392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f54b7183-9456-41ae-b7bf-c66c3d59c2aa · outbound

This paper cites A framework for the general design and computation of hybrid neural networks.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events A framework for the general design and computation of hybrid neural networks

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.888418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9194bad-47d2-4d4d-8250-d205a47424b9 · outbound

This paper cites Qkformer: Hierarchical spiking trans- former using qk attention.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Qkformer: Hierarchical spiking trans- former using qk attention

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.874837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68c6c425-4743-41d0-afe3-6b31e7244c85 · outbound

This paper cites Ob- jects as points.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Ob- jects as points

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.861837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5fc01f53-621a-4fa0-8747-1328ea687668 · outbound

This paper cites Spikformer: When spiking neural network meets transformer.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Spikformer: When spiking neural network meets transformer

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.848264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d4f322e4-9f33-41a8-a1d8-211f3c6ed316 · outbound

This paper cites Rgb-event fusion for moving object detection in autonomous driving.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Rgb-event fusion for moving object detection in autonomous driving

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.833882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fedfb97e-bf1f-4f44-87c9-0ff687914e40 · outbound

This paper cites Event-based video reconstruction via potential-assisted spiking neural network.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Event-based video reconstruction via potential-assisted spiking neural network

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.820648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 22048036-fb43-4832-8a72-7ac60602623d · outbound

This paper cites Tph- yolov5: Improved yolov5 based on transformer prediction head for object detection on drone-captured scenarios.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events Tph- yolov5: Improved yolov5 based on transformer prediction head for object detection on drone-captured scenarios

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.807217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b703962a-8042-425e-aee5-89587e48c9b1 · outbound

This paper cites From chaos comes order: Ordering event representations for object detection.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events From chaos comes order: Ordering event representations for object detection

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.793840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 79b652c9-e536-4859-9fa9-8ec01c98b416 · outbound

This paper cites State space models for event cameras.

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events State space models for event cameras

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:32:36.780117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 54253182-e9c2-4e61-ac7f-1d7e3c67281b · inbound

FATE: Pillar Encoding and Frequency-Aware Training for Event-Based Object Detection cites this paper.

FATE: Pillar Encoding and Frequency-Aware Training for Event-Based Object Detection HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:08:46.762223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1e1648a-2333-4122-a38c-f138c13dc070 · inbound

CMTFormer: Marrying Transformer with Hierarchical Information Interaction for RGB-Event Object Detection cites this paper.

CMTFormer: Marrying Transformer with Hierarchical Information Interaction for RGB-Event Object Detection HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:14:25.653299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.