TrajFusionNet: Pedestrian Crossing Intention Prediction via Fusion of Sequential and Visual Trajectory Representations | Paper Citation Record

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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:29:07.186400Z

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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

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:29:07.148841Z

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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

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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

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

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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

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

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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

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:29:07.054407Z

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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

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

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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

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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

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

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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

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:29:06.961147Z

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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: verified fuzzy; raw_fallback, observed 2026-08-05T15:29:06.944421Z

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

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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

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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

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:29:06.393776Z

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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

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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

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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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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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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

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

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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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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers