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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 2026-08-06T06:34:29.942622+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

  • verified exact2
  • verified fuzzy44
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  • parse uncertain0
  • malformed identifier0
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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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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

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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 2026-08-06T06:34:29.942622+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:05.988229Z digest=sha256:1059b817509dc03ed2be8cfadc0df5d5c0ed01df8297b3404f9524bc5891872e

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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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:05.993866Z digest=sha256:24e6dc582dc05cea37a4eb9618aea4f2870bb8fecdde4ec0184c5ea566c33837

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+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

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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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.018580Z digest=sha256:0dda27d4a9c89b99b43f0aa56e443347baf501e749abf73b9a844166d4787759

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 2026-08-06T06:34:29.942622+00:00.

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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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.028114Z digest=sha256:beea39001206834409bbb3ccbb0939daab91dc61b2f0256d8a77c96ecff07a48

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.035212Z digest=sha256:4d9260030e4b5f3b82ad3675530848b3ddb3c28be9d1f496180c69fc30c6eda6

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.039923Z digest=sha256:2720949e94adfc72b09c0f512f908b25ddd4db4dcc8de643cf448416db32a78e

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

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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 2026-08-06T06:34:29.942622+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

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raw_fallback, observed 2026-08-05T15:29:06.928585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.053938Z digest=sha256:0b88556a7628d44649cfbf68503cd2c1cdc223cae1630c688ae4799b1cbfa3c9

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.062739Z digest=sha256:9f1e7023f4ad0bf121d84c5266aa500733ec32d9ffe603395088453506cfd066

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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local_arxiv, observed 2026-08-05T15:29:06.393776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.081311Z digest=sha256:7e026053411e9bd67208f2a4911ab351eb92aaa46453a295772344214fb3c08e

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.091586Z digest=sha256:6fcdb9ea61c013baf58076bf3ac445541afbb0fe4d0ed6db2f6a082ec22a8c62

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.096973Z digest=sha256:5e63eacf4707448f61f67ac7b00eab009edcfd1f9c59b0bc65a8ed3aa2083f6f

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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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.102772Z digest=sha256:b769cb0220576e89e529beaa738f9f1526b07fdb4aefe8757baa218f63150710

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.107464Z digest=sha256:ebae630720054b3415e3e6476c1f7eaed7de55e822dde97ecede90cb923e45ab

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.112912Z digest=sha256:ffd1076c5f9d48164055c39d04b84deccdc843fb1aae8cfdb6689c028976baf4

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.117456Z digest=sha256:c90f3fce2d8af6ce1736fc8e2e941d87b0c940a8bd3aa2e19641cb372b460608

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
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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.122413Z digest=sha256:c6cafcbb5173654113f4ada45f90ea8522c2f452b0da4e95d5cf5499bf977e2b

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.127548Z digest=sha256:ac79750186bdd4b01857a9fe21763e8dbb577644636cd2c283d9a7e277db892d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.134961Z digest=sha256:4106042b0c969016a3b5bff83f0c88bd842f432950a5e84f8e389228e86dc246

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.140664Z digest=sha256:04de38cffce32ff4e6c309f8014c41979b6cd34b2066e4615200e40450bf5294

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.145393Z digest=sha256:5298dc0db061f030ee43751eed79fc2abd8d64d56de0288eb4426ed552031bc6

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.153132Z digest=sha256:969c4192891d02c5e99afff2a07e96dd42e644aa54a698104ce6b3f19c843d48

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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.162343Z digest=sha256:b99f41d17db77ff42642db8465580a0936a165983e11fcae49444caa1299040a

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.168123Z digest=sha256:effa9a63fdf58b1ce5fe2c0c5616ce3041fcde830ab6056850ede984c794d91a

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.173605Z digest=sha256:11328328fbb9af569a576fc9fca84f56d97f3747b4ec38e2f8b13b03438918b4

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.180023Z digest=sha256:53c4567128344d6b52972c014c601f8636865c9ee0ec5a20fae0ee8626cb15de

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.190402Z digest=sha256:f7574f9f390fd7f23a8e5fb6e7623636d8f9555879a44706b9c6f423f5d0f949

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.195964Z digest=sha256:dc8665266b3471a1b3d1565f03f677819d943bcd079429c3f02850e4bfe14cfe

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.201226Z digest=sha256:f2f3c1d27a3d813347e9d16416891b0fa4ede594832575845d50310cdf15bef6

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.206778Z digest=sha256:f9ddc66e743014b18f0ca54060316bfd0d2e260be6f86a76fc2abf20e1f0d6b6

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.217146Z digest=sha256:29fd54913ca816edd0f16064ec24b9b5d635bd38dcbe235518b6cf1445820561

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.228243Z digest=sha256:1df3fc8bac1df879b2dbe2fa31fe1b4f93ab34d1a6860c38b81f6b0157f5274e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.232930Z digest=sha256:634ddfe393907e49e343971ff80ea02516ade0105398961c005be15da8c0c769

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.237550Z digest=sha256:cbdbf3cf88416dffae231860caa8a0859e16d381b108959b0c17192b32ec0d29

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T15:29:06.243172Z digest=sha256:ad01e1c1d71a0b860fac135ccc57541021046d5d5e80d82c74c1e0577a1fca34

Pith citing papers

No inbound Pith citation observations are available.