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Paper Citation Record · LEDGER

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations

As of 7 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2508.19866.

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

pith.paper-citation-record.v1
2508.19866 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:29:06.243172Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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  • verified fuzzy44
  • unresolved2
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f68fb37-d06d-44c0-907b-5cff7617d427 · outbound

This paper cites Pedestrian de- tection: An evaluation of the state of the art,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Pedestrian de- tection: An evaluation of the state of the art,

Reference 1

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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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Observation 00755072-2e78-4831-89bd-d185af7e9593 · outbound

This paper cites Pedestrian protection systems: Issues, survey, and challenges,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Pedestrian protection systems: Issues, survey, and challenges,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T15:29:07.204885Z

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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Observation b40a140f-1820-4d11-a938-a1bc4b7d7359 · outbound

This paper cites Pedestrian and vehicle be- haviour prediction in autonomous vehicle system—a review,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Pedestrian and vehicle be- haviour prediction in autonomous vehicle system—a review,

Reference 3

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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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Observation 37e3ca49-b687-492f-b5b9-46e3b2f80bb0 · outbound

This paper cites Spatiotemporal relationship reasoning for pedestrian intent prediction,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Spatiotemporal relationship reasoning for pedestrian intent prediction,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:07.166776Z

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.

source=pdf_text observed=2026-08-05T15:29:05.975725Z digest=sha256:8501c141009a0a017a900e01c9ae8cf7b7e291f694708e053946051d3e4dc82e

Observation fe341567-da40-4ed5-8887-553fb0fe66ba · outbound

This paper cites Visual attention network,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Visual attention network,

Reference 5

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raw_fallback, observed 2026-08-05T15:29:07.148841Z

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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Observation 63bcf538-968a-484f-b888-84df4a250ff0 · outbound

This paper cites Predicting pedestrian cross- ing intention in autonomous vehicles: A review,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Predicting pedestrian cross- ing intention in autonomous vehicles: A review,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:07.131063Z

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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Observation e932dc58-27d9-4a34-a025-c65a4c2f89ad · outbound

This paper cites Pedestrian behavior prediction using deep learning methods for urban scenarios: A review,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Pedestrian behavior prediction using deep learning methods for urban scenarios: A review,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-05T15:29:07.112996Z

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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Observation 34dd4321-440a-47e3-a288-29cb8fbf0db4 · outbound

This paper cites Intention-aware pedestrian avoidance,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Intention-aware pedestrian avoidance,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-05T15:29:07.095496Z

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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Observation f37240df-3862-4eba-8d11-890c521c9ba6 · outbound

This paper cites Context-based pedestrian path prediction,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Context-based pedestrian path prediction,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:07.077262Z

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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Observation 3d91d145-fa19-49ec-86e8-bcfae841503a · outbound

This paper cites Autonomous evasive maneuvers triggered by infrastructure-based detection of pedestrian intentions,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Autonomous evasive maneuvers triggered by infrastructure-based detection of pedestrian intentions,

Reference 10

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raw_fallback, observed 2026-08-05T15:29:07.054407Z

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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Observation b76f3014-5731-4053-8ac0-f82a4de6ea44 · outbound

This paper cites Context-based detection of pedestrian crossing intention for autonomous driving in urban environments,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Context-based detection of pedestrian crossing intention for autonomous driving in urban environments,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-05T15:29:07.035513Z

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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Observation 14fd117d-055f-429f-a72d-df3d179cbbda · outbound

This paper cites Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:07.016167Z

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.

source=pdf_text observed=2026-08-05T15:29:06.023618Z digest=sha256:767e79e75389de3babfdf2bf0f61b7416dfc23c4997a3ed24f6fb73b28981e00

Observation e1e5b68c-8269-45db-9611-c16773fde5c0 · outbound

This paper cites Action and intention recognition of pedestrians in urban traffic,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Action and intention recognition of pedestrians in urban traffic,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.997874Z

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.

source=pdf_text observed=2026-08-05T15:29:06.028114Z digest=sha256:7a341a6bf9ccd52b3caeb10e9a47907c2e8e901f73a204ce1807301f2424502e

Observation 5c1602aa-3231-41df-b15d-5b90cef7bf27 · outbound

This paper cites Real-time intent prediction of pedestrians for autonomous ground vehicles via spatio-temporal densenet,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Real-time intent prediction of pedestrians for autonomous ground vehicles via spatio-temporal densenet,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.981543Z

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.

source=pdf_text observed=2026-08-05T15:29:06.035212Z digest=sha256:5ec6ac40ab9e309e52b194981b268a2bc833b6b9e48b3edd7ced5e08645500b2

Observation 07050643-e8c1-459e-9a36-628db9e48dd6 · outbound

This paper cites Pedestrian motion state estimation from 2d pose,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Pedestrian motion state estimation from 2d pose,

Reference 15

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raw_fallback, observed 2026-08-05T15:29:06.961147Z

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.

source=pdf_text observed=2026-08-05T15:29:06.039923Z digest=sha256:05dfe0ceb7145b4bdc3cd3b1422bbfcf50e8ebad268b90eff2a7bee977200957

Observation b19ab521-408b-475c-9076-b5a280f383e6 · outbound

This paper cites Rnn-based pedestrian crossing prediction using activity and pose-related features,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Rnn-based pedestrian crossing prediction using activity and pose-related features,

Reference 16

Resolution
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raw_fallback, observed 2026-08-05T15:29:06.944421Z

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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Observation caf4b26f-7f48-4186-9b34-5923c7d0c115 · outbound

This paper cites Do they want to cross? understanding pedestrian intention for behavior predic- tion,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Do they want to cross? understanding pedestrian intention for behavior predic- tion,

Reference 17

Resolution
verified fuzzy
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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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Observation 30311c57-a536-41b1-a6a5-4fcd10a46119 · outbound

This paper cites Vrunet: Multi-task learning model for intent prediction of vulnerable road users,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Vrunet: Multi-task learning model for intent prediction of vulnerable road users,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.912390Z

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.

source=pdf_text observed=2026-08-05T15:29:06.062739Z digest=sha256:6b11a0d3e13407f4f34eb7f76edd7af96824707583e06394742a9b5a3c750544

Observation c6f2f9a2-5bd1-4108-8993-6f8f3f143852 · outbound

This paper cites Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Reference 19

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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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Observation 722d8d50-9fe5-4bd9-9548-77fdb9706d58 · outbound

This paper cites Benchmark for evaluating pedestrian action prediction,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Benchmark for evaluating pedestrian action prediction,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.896782Z

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.

source=pdf_text observed=2026-08-05T15:29:06.081311Z digest=sha256:ff8e79e27778644b0ff4ed93d46868babd33a03864c8b5acf37f5e79a0974073

Observation 57defb89-24c4-41c2-bf31-d9d7ef56d1ea · outbound

This paper cites Predicting pedestrian crossing intention with feature fusion and spatio-temporal attention,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Predicting pedestrian crossing intention with feature fusion and spatio-temporal attention,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.872216Z

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.

source=pdf_text observed=2026-08-05T15:29:06.091586Z digest=sha256:23f1d27454c0a69a9c8c0d241ba119c4985cfa119ae3a823773ac8d5fa2f9dc2

Observation f2313ad6-27b1-451d-982c-cf0f17ecc3c9 · outbound

This paper cites Trouspi-net: Spatio-temporal attention on parallel atrous con- volutions and u-grus for skeletal pedestrian crossing prediction,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Trouspi-net: Spatio-temporal attention on parallel atrous con- volutions and u-grus for skeletal pedestrian crossing prediction,

Reference 22

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raw_fallback, observed 2026-08-05T15:29:06.851670Z

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.

source=pdf_text observed=2026-08-05T15:29:06.096973Z digest=sha256:2a2f96889c175731eef16517d4e7987fe6009b5a532f126798ce312852333f38

Observation a2ab97b4-8005-41b5-946c-4b6ed1796cf5 · outbound

This paper cites Attention is all you need,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Attention is all you need,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.834954Z

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.

source=pdf_text observed=2026-08-05T15:29:06.102772Z digest=sha256:11b78b965a96c8211c86eed57c06312d5eccf5d51048c5bb2bf2c7ab561b8824

Observation c894faca-1f2a-4c36-9f9f-10e6218bc04f · outbound

This paper cites Is attention to bounding boxes all you need for pedestrian ac- tion prediction?.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Is attention to bounding boxes all you need for pedestrian ac- tion prediction?

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.816892Z

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.

source=pdf_text observed=2026-08-05T15:29:06.107464Z digest=sha256:81b8ca6969982a968470b62f3f6bb3509829604356794b8b08b91d770517a711

Observation f0ac16ae-2db2-46ea-8c68-f479545fd9ee · outbound

This paper cites Pit: Progressive interaction transformer for pedestrian crossing intention predic- tion,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Pit: Progressive interaction transformer for pedestrian crossing intention predic- tion,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.798275Z

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.

source=pdf_text observed=2026-08-05T15:29:06.112912Z digest=sha256:897554b45369b401513af215ae26828c772eb09913f9cf0c99fbee3e894dd1dd

Observation c413c831-c70e-4503-bc04-9913c8051231 · outbound

This paper cites Deep virtual- to-real distillation for pedestrian crossing prediction,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Deep virtual- to-real distillation for pedestrian crossing prediction,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.780750Z

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.

source=pdf_text observed=2026-08-05T15:29:06.117456Z digest=sha256:ad945cf8a63940c86fa4a0a91480d00ce891bc157ef46e257e4ab499d337ab75

Observation 861c825e-5323-41ce-8626-c470b5e5698f · outbound

This paper cites Capformer: Pedestrian crossing action prediction using transformer,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Capformer: Pedestrian crossing action prediction using transformer,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.762745Z

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.

source=pdf_text observed=2026-08-05T15:29:06.122413Z digest=sha256:7040d4e3f670ed43cf075daec8409c6a77f138c1b22500d3794ce05714cbacf6

Observation a26e9109-a7b2-44d3-9576-910c792e21a4 · outbound

This paper cites Action-vit: Pedestrian intent prediction in traffic scenes,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Action-vit: Pedestrian intent prediction in traffic scenes,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.746990Z

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.

source=pdf_text observed=2026-08-05T15:29:06.127548Z digest=sha256:8f07506198a1ac4381dd50612e233c96c177e949cf971b3bfe8e54f507d7b64c

Observation 6bb1cab6-2565-40cd-9642-7772f051d9c9 · outbound

This paper cites Classifying pedestrian actions in advance using predicted video of urban driving scenes,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Classifying pedestrian actions in advance using predicted video of urban driving scenes,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.730977Z

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.

source=pdf_text observed=2026-08-05T15:29:06.134961Z digest=sha256:6615a89694f106383026c7a42e758ce85ca2e76d61299d8d9a79d3523e30e895

Observation f2366017-915a-4f60-98b3-543e39f1bce8 · outbound

This paper cites Looking ahead: Anticipating pedestrians crossing with future frames prediction,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Looking ahead: Anticipating pedestrians crossing with future frames prediction,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.715046Z

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.

source=pdf_text observed=2026-08-05T15:29:06.140664Z digest=sha256:174ed1796df7d8331a68913995f19986f6569c58e3cf24a08b69652a402c5ef3

Observation 6a6a546c-b542-4ef6-a73c-3140f211d9a2 · outbound

This paper cites Pedestrian intention prediction based on traffic-aware scene graph model,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Pedestrian intention prediction based on traffic-aware scene graph model,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.699331Z

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.

source=pdf_text observed=2026-08-05T15:29:06.145393Z digest=sha256:2c769cc8e04a385ef585dbd471e7dadb489cb8f460b301e180ae2edaf10037a0

Observation 41ea5b8b-c5cc-4bf3-b8d1-774436619066 · outbound

This paper cites Pedestrian graph+: A fast pedestrian crossing prediction model based on graph convolutional networks,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Pedestrian graph+: A fast pedestrian crossing prediction model based on graph convolutional networks,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.682101Z

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.

source=pdf_text observed=2026-08-05T15:29:06.153132Z digest=sha256:5011ac365a411e12db6118b9647308e700611d61a8624af28d3dc887d87ba354

Observation 6f6ba78f-2f01-4a89-9809-cafeceb9d58b · outbound

This paper cites Dpcian: A novel dual-channel pedestrian crossing intention anticipation network,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Dpcian: A novel dual-channel pedestrian crossing intention anticipation network,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.664204Z

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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Observation 64d8d354-3ec0-4fd6-ae58-5c498a0a928d · outbound

This paper cites Pedast- gcn: Fast pedestrian crossing intention prediction using spatial– temporal attention graph convolution networks,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Pedast- gcn: Fast pedestrian crossing intention prediction using spatial– temporal attention graph convolution networks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.644903Z

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.

source=pdf_text observed=2026-08-05T15:29:06.162343Z digest=sha256:46e243f21b62df0e48cb789c89168197d4341ed5ce6026d28e6148f7637714cf

Observation 4e76f865-c224-4a11-b0db-4257dfd7349a · outbound

This paper cites Feature selection and multi-task learning for pedestrian crossing prediction,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Feature selection and multi-task learning for pedestrian crossing prediction,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.624061Z

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.

source=pdf_text observed=2026-08-05T15:29:06.168123Z digest=sha256:f7b46fcad726ddef06d5c61dff757f7f63213e28e05dd16de8e0e717d0aef91b

Observation 8a7884f3-f8aa-4374-bd73-d81c133cb520 · outbound

This paper cites Using graph convolutional networks skeleton-based pedestrian intention estimation models for tra- jectory prediction,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Using graph convolutional networks skeleton-based pedestrian intention estimation models for tra- jectory prediction,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.604629Z

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.

source=pdf_text observed=2026-08-05T15:29:06.173605Z digest=sha256:8125cd0e50a981e93f11a6d2c46626d828aedc377d3b5c65ab221b6a3549476f

Observation 4f75cc90-c072-4b87-a3e5-62fddc6d3988 · outbound

This paper cites Joint inten- tion and trajectory prediction based on transformer,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Joint inten- tion and trajectory prediction based on transformer,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.583808Z

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.

source=pdf_text observed=2026-08-05T15:29:06.180023Z digest=sha256:990888dadf3bfb299bbeec9ba18214ef40cc778223f5650b505e5bda1eeec49f

Observation 2b11d4dc-4b42-487c-8d2c-e6b3a3d9a26c · outbound

This paper cites Multi-task deep learning for pedestrian detection, action recognition and time to cross prediction,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Multi-task deep learning for pedestrian detection, action recognition and time to cross prediction,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.567826Z

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.

source=pdf_text observed=2026-08-05T15:29:06.190402Z digest=sha256:b696ce4f202142305c38a3e3c532537a3e352a890e5297843516234149b38dcd

Observation e9d59785-219d-4d21-9d08-71f308eb0f63 · outbound

This paper cites Coupling Intent and Action for Pedestrian Crossing Behavior Prediction.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Coupling Intent and Action for Pedestrian Crossing Behavior Prediction

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:29:06.344292Z

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.

source=pdf_text observed=2026-08-05T15:29:06.195964Z digest=sha256:15fde312e65e61ac1bd4f4cce98ece5c0393962b05a8243b7dab11575fd18155

Observation 29cd0149-b628-4c73-bb11-db73d90fc847 · outbound

This paper cites Social aware multi-modal pedestrian crossing behavior prediction,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Social aware multi-modal pedestrian crossing behavior prediction,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.549023Z

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.

source=pdf_text observed=2026-08-05T15:29:06.201226Z digest=sha256:6114a298f764a4667611698d821ceb257c8e10d9668c580735a31549cd1c881d

Observation 2ae538c7-8c61-4eb6-8447-e6fededd3c88 · outbound

This paper cites Pie: A large-scale dataset and models for pedestrian intention estima- tion and trajectory prediction,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Pie: A large-scale dataset and models for pedestrian intention estima- tion and trajectory prediction,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.530756Z

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.

source=pdf_text observed=2026-08-05T15:29:06.206778Z digest=sha256:3f96e97d52a2b8a8e63b999f039efb2b496927909e581a153e99df38b27ed1bb

Observation f725f0ea-8905-4fdf-ba9b-f63d12993f4d · outbound

This paper cites Deep Time Series Models: A Comprehensive Survey and Benchmark.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Deep Time Series Models: A Comprehensive Survey and Benchmark

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T15:29:06.211596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:29:06.211596Z digest=sha256:d7311e857ac93c0c3fb6cb113b6f84f932612cedc8054af96f777b449bee727e

Observation 6dd1915d-8b4c-4455-8c2f-97deffb3dd72 · outbound

This paper cites Scene parsing through ade20k dataset,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Scene parsing through ade20k dataset,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.509715Z

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.

source=pdf_text observed=2026-08-05T15:29:06.217146Z digest=sha256:5a9fe724625fae45ae6ed0bac4c02533e67e292adb1c8159e41df997b92ca0fd

Observation d92bda2b-efc7-4d66-a0f8-5159c2680c92 · outbound

This paper cites A fast learning algorithm for deep belief nets,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations A fast learning algorithm for deep belief nets,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T15:29:06.222753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:29:06.222753Z digest=sha256:9af9de203d2d20b1f4c506d989ee1e538c6edab2179be2cbb02731920c0cbbe5

Observation 9e937e37-4cb1-4ec9-b470-f4562043ca6a · outbound

This paper cites Greedy layer-wise training of deep networks,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Greedy layer-wise training of deep networks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.472496Z

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.

source=pdf_text observed=2026-08-05T15:29:06.228243Z digest=sha256:e959a0e0da6b4dfd0f4284a9fe170d24caa493acde42b8e94ab7ea4ac1244a19

Observation fa878e84-c37e-40b8-949a-d62a0a43ded3 · outbound

This paper cites Stage-wise training: An improved feature learning strategy for deep models,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Stage-wise training: An improved feature learning strategy for deep models,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.454355Z

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.

source=pdf_text observed=2026-08-05T15:29:06.232930Z digest=sha256:80506e620376e93a0826fcb3c5eae3feced2c166fb6d52a37e78a1ef6689c6fb

Observation 56bd4d55-554b-4bcf-950e-a033d201640d · outbound

This paper cites Realtime multi- person 2d pose estimation using part affinity fields,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Realtime multi- person 2d pose estimation using part affinity fields,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.431692Z

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.

source=pdf_text observed=2026-08-05T15:29:06.237550Z digest=sha256:d6abd24f6c2d63955918efb6ecf1f3963b3edfe314c6893747fa9c2402e5a784

Observation f568197b-99e0-42e9-922c-c4652d62ec00 · outbound

This paper cites Rethinking atrous convolution for semantic image seg- mentation,.

TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations Rethinking atrous convolution for semantic image seg- mentation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:29:06.413254Z

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.

source=pdf_text observed=2026-08-05T15:29:06.243172Z digest=sha256:ace9b0b8f57810d6139cf9d1f0c2fb0de3ed4e18507f995f5f48be60ce90235e

Pith citing papers

No inbound Pith citation observations are available.