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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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
  • unresolved2
  • 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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:05.988229Z digest=sha256:bedb05d8a460e71c5c2a365c8210c9998d6e5de99601bc58785637f5d5e7598c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:05.993866Z digest=sha256:951f36adb1ce3457c5e3ea8b68afea15300d15e1dded623b3d110e6afb239d16

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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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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.018580Z digest=sha256:abdc7a5e5de9880ffb71f3fea2f46209e93a83f858dbc01e50077f4b84412598

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.023618Z digest=sha256:280ef655ecd724e2295c850fc3290bffcb8dfd7f7d6e9d8c9d3f2a9761f98769

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.028114Z digest=sha256:e19b3472ca79684f76952f3fb636d00936cf1c123fc700d5c484113235352491

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.035212Z digest=sha256:483a7b50b892a03d4a1e74a796e2a9ef5d848ee6f81218f316c06c5578360f79

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.039923Z digest=sha256:db3bd1259e23a13d3935487a78b3ff33fc05f7ef31aab1f26afff77d39f43784

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.048503Z digest=sha256:2c3feea681961ab86916368395d1c381e2266e353da180b13eecf5c6c5e29016

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.053938Z digest=sha256:e7b692f4cbe72adf1a5752611e526296678a86784f5e0f1cea3da12ffc3646da

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.062739Z digest=sha256:dbe70b6feb92a69bc31ec5a8a35cb6c7c10cd35c864d1b2131d43cf294cfdc15

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.075114Z digest=sha256:9ca8df4b4999585b45dbd186fe00e02393cbd5f023bf475c97a96bd3d2c7d894

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.081311Z digest=sha256:5e86ffb624fabaa3b855509656f5de3172425031aa946ae2c26f3940bd6f9050

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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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.091586Z digest=sha256:88468ff4b19c1ba0714e918acea5b8bb1c4d30a1b64fef682c927551a7a935d9

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.096973Z digest=sha256:ac52ef03ed4487fe4e1cbd36079caf090311ccb5ddfc68da366d772bee06a44a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.102772Z digest=sha256:8ee14a2cb348c45749e1bc64f7148af1eaa5080364628b5876d8653325f06e40

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.107464Z digest=sha256:c7ed5feac152d74e277024c14dd7aa5e94d1332d579d8f8d476c5aeda9401958

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.112912Z digest=sha256:d21af7fca050e4db76e06753cfb65c6fc70eb5987cc9c3ec087fae67f275f835

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
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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.117456Z digest=sha256:ab2919ed8912a507eb2bec95b364fd9d7c8559fcde1def94a4f9173e9f11f4a4

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.122413Z digest=sha256:7e6a8657a8e0e7798b72a6bedc11e15abc0ff6f59345eb3219bc822d6c365280

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.127548Z digest=sha256:54a3452393c13772f7303dfec92a6d668c876b15c92081bfdf0e69464cda61d9

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.134961Z digest=sha256:49c7881578dfa2e7f57107caf5b52f30314715079444a7433eb966c4d7fb6391

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
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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.140664Z digest=sha256:7213bd3c3fda658fe864fa1abf229aca2b696a5b6618c1926f1fcb61138e9db6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.145393Z digest=sha256:379883d1234e2c026406199e02d54d0bcab42a669b1bdce2ce8cf04284ec5ad6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.153132Z digest=sha256:665ae0dcf40d4ed14e7baba267d2f3f0971af64f09b91b7cd09307e6bc581631

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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.162343Z digest=sha256:90e224e1c000ff75ebe294e15ec5a898cd03a580fa8523620ed71582eeadf0f1

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 2026-08-23T06:30:58.430688+00:00.

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.173605Z digest=sha256:515ec08b96961f34385ff20c0ac0fd4135da7aa014c606cfd1fc80dc1eee90dd

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.180023Z digest=sha256:699a64f3d0443ecf2dc18014efe28c4c278a754df48cc8de81b6c02af98d61ce

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.190402Z digest=sha256:991d4936219f770fd5aac8d94e9b6963c934f971a50ae82ef67c0efff459fc0e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.195964Z digest=sha256:0fb238eab5e1c962039bdf54c992793bf2f712a3c25aaf4e33148c8016aaf980

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.201226Z digest=sha256:e6607bdd50e83a332ab333a3bc1f7fa648fa5e4db385d94299286b9dd784376a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.206778Z digest=sha256:499c8352fd2570caf4963a02965975a5d7bb6b5eda401c8eb8540d5f59b98ef2

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:e36dfde44c69cbb22c61acb89834d734c7f058a6b6cfb17e872814d834bf9d6d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.217146Z digest=sha256:231ef5b257364b066919559df388fa0eb7db12c3fde4f20ea5df5ff81db5680e

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=sha256:248b3a74438705c51e49539d6ce3a686b1c60460c5d7907f30d8d6c00280bf2d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.228243Z digest=sha256:7087317bcef5cab0340b8d0a40e13ea9ffa03d9afabde0e170dcaa821be88485

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.232930Z digest=sha256:e962783173936d0dbac45075c3296d216190e4397c6aa325ad149bec1e7a633e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.237550Z digest=sha256:214734945809700ead88f704f8bd7706c49b7f52222b0088a2d019fb4dcc0ae0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T15:29:06.243172Z digest=sha256:4a02fc4989c0e85ef68b1ab41d9059aa76c9660b9fe2ad0c42b2006c2cbddf63

Pith citing papers

No inbound Pith citation observations are available.