ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture | Paper Citation Record

Observation 34d3e888-442c-48b9-8277-156860298eff · outbound

This paper cites Learning lane graph representations for motion forecasting,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Learning lane graph representations for motion forecasting,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.868339Z

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Observation 97e0aa51-a639-4627-9325-bf13807249c8 · outbound

This paper cites Deep learning-based vehicle behavior prediction for autonomous driving applications: A review,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Deep learning-based vehicle behavior prediction for autonomous driving applications: A review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.851889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e03fcf0b-0582-4278-ad88-2e3c8fc1c93a · outbound

This paper cites Social predictive intelligent driver model for autonomous driving simulation,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Social predictive intelligent driver model for autonomous driving simulation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.833022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 33be869b-360b-4bcf-bef0-266d0ab131de · outbound

This paper cites Covernet: Multimodal behavior prediction using trajectory sets,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Covernet: Multimodal behavior prediction using trajectory sets,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.814043Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 17254ada-b175-411d-9e47-4e8ad90e3fc5 · outbound

This paper cites MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:15.397231Z

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Observation 9a28e309-6215-4dc4-9a65-acd002fba895 · outbound

This paper cites Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.795757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 13b3c7bf-63f0-49bc-beb9-1adb7d33254b · outbound

This paper cites Ganet: Goal area network for motion forecasting,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Ganet: Goal area network for motion forecasting,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.777395Z

Source-reported events for the cited work

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Observation 6d1515be-cfcd-4f29-95f0-9eb6201d40c7 · outbound

This paper cites Lanercnn: Distributed representations for graph-centric motion forecasting,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Lanercnn: Distributed representations for graph-centric motion forecasting,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.759794Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a90eaca-2e1d-4f55-9f4c-1e6fb4e3561f · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized representation,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Vectornet: Encoding hd maps and agent dynamics from vectorized representation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.738497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e82652f6-a020-4336-a9f3-2539e767cb57 · outbound

This paper cites Tpcn: Temporal point cloud networks for motion forecasting,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Tpcn: Temporal point cloud networks for motion forecasting,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.718198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fdb00c0a-410a-4d1a-8bdc-ec7274526a00 · outbound

This paper cites Convolutional neural network for tra- jectory prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Convolutional neural network for tra- jectory prediction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.696686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6f76f01f-6995-4928-be2c-b1e638bd1a6c · outbound

This paper cites Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.676658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 30997b0c-bd25-4be0-bc79-a9041e714eb4 · outbound

This paper cites SR-LSTM: State refinement for LSTM towards pedestrian trajectory prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture SR-LSTM: State refinement for LSTM towards pedestrian trajectory prediction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.649854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 72550da8-ac4d-485d-a875-eb2b11bdc9ae · outbound

This paper cites Spatio-temporal graph trans- former networks for pedestrian trajectory prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Spatio-temporal graph trans- former networks for pedestrian trajectory prediction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.625846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c2f148e1-7fdf-4498-8c95-c56eb20e3c8a · outbound

This paper cites TNT: Target-driven trajectory prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture TNT: Target-driven trajectory prediction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.600973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab7a8e2d-d8fc-4f88-bc3a-cdc440da5ed9 · outbound

This paper cites Densetnt: End-to-end trajectory prediction from dense goal sets,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Densetnt: End-to-end trajectory prediction from dense goal sets,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.578578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a1ee4b71-b352-4522-9f11-adb09a972a7e · outbound

This paper cites GoHome: Graph-oriented heatmap output for future motion estimation,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture GoHome: Graph-oriented heatmap output for future motion estimation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.557768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2d5f2618-6e86-4abb-b94c-b587790a6e4a · outbound

This paper cites Wayformer: Motion forecasting via simple & efficient attention networks,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Wayformer: Motion forecasting via simple & efficient attention networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.530625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87fa79dc-48c9-4f61-bfd7-58070a38679a · outbound

This paper cites A hierarchical hybrid learning framework for multi-agent trajectory prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture A hierarchical hybrid learning framework for multi-agent trajectory prediction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.503654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7e8e3934-febb-484f-b170-f83dc79d8dba · outbound

This paper cites Scene Transformer: A unified architecture for predicting multiple agent trajectories.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:16.613470Z

Source-reported events for the cited work

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Observation f08a4667-31e9-453d-bb92-b21cbd7f1b9f · outbound

This paper cites Query-centric trajectory prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Query-centric trajectory prediction,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.485296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c598b3fb-7bd2-49eb-86f2-cec7a64faae4 · outbound

This paper cites HPNet: Dynamic trajectory forecasting with historical prediction attention,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture HPNet: Dynamic trajectory forecasting with historical prediction attention,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.464586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a63491e-278c-4a52-97a6-f7158c89d7c6 · outbound

This paper cites QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:16.865039Z

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Observation abe33971-0d05-4749-82e2-1d4c8929ff8c · outbound

This paper cites DiffusionDrive: Truncated diffusion model for end-to-end autonomous driving,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture DiffusionDrive: Truncated diffusion model for end-to-end autonomous driving,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.441348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 941f3b41-389e-4c0b-8bbc-30900c420b8e · outbound

This paper cites Eliminating uncertainty of driver’s social preferences for lane change decision-making in realistic simulation environment,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Eliminating uncertainty of driver’s social preferences for lane change decision-making in realistic simulation environment,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.412548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 250a4913-eeca-432f-a485-a4b09a4d95c5 · outbound

This paper cites Hyper-relational Interaction Modeling in Multi-modal Trajectory Prediction for Intelligent Connected Vehicles in Smart Cities,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Hyper-relational Interaction Modeling in Multi-modal Trajectory Prediction for Intelligent Connected Vehicles in Smart Cities,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.393872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 899678d1-e492-49be-8842-9b648d392c89 · outbound

This paper cites Probabilistic prediction of inter- active driving behavior via hierarchical inverse reinforcement learning,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Probabilistic prediction of inter- active driving behavior via hierarchical inverse reinforcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.373257Z

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Observation b07bf0d0-e2d8-4a3d-a899-1c5eb0248882 · outbound

This paper cites MTR++: Multi-agent motion prediction with symmetric scene modeling and guided intention query- ing,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture MTR++: Multi-agent motion prediction with symmetric scene modeling and guided intention query- ing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.347615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8fad52e1-6f10-4d14-a6fa-d12fa4cb9f04 · outbound

This paper cites GAMDTP: Dynamic Trajectory Prediction with Graph Attention Mamba Network.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture GAMDTP: Dynamic Trajectory Prediction with Graph Attention Mamba Network

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:17.368584Z

Source-reported events for the cited work

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Observation 62b9ec15-5f87-4b6a-8f5c-15f556c1c216 · outbound

This paper cites ProphNet: Efficient agent-centric motion forecasting with anchor-informed proposals,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture ProphNet: Efficient agent-centric motion forecasting with anchor-informed proposals,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.329447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ec849f60-f830-4fe6-9590-f9cefbe4538d · outbound

This paper cites SmartRefine: A scenario-adaptive refinement framework for efficient motion prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture SmartRefine: A scenario-adaptive refinement framework for efficient motion prediction,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.305973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b525f2f6-c8fb-407b-988d-cd9fbcc2c547 · outbound

This paper cites Criteria: A new bench- marking paradigm for evaluating trajectory prediction models for au- tonomous driving,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Criteria: A new bench- marking paradigm for evaluating trajectory prediction models for au- tonomous driving,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.286486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 62a4bcaa-5fff-4a48-b9aa-48b2b5709d6c · outbound

This paper cites Diverse and admissible trajectory forecasting through multimodal context understanding,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Diverse and admissible trajectory forecasting through multimodal context understanding,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.266468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 889b42b7-f299-45b3-abcf-06f9c9fbc673 · outbound

This paper cites Reliable trajectory prediction in scene fusion based on spatio-temporal structure causal model,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Reliable trajectory prediction in scene fusion based on spatio-temporal structure causal model,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.246189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 44e06cc7-d636-447d-9250-0886125e25ea · outbound

This paper cites Trajectory prediction for safety critical maneuvers in automated highway driving,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Trajectory prediction for safety critical maneuvers in automated highway driving,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.227010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 610ebb9b-27b1-4f6c-8a24-da91e43f02f0 · outbound

This paper cites When will it change the lane? A probabilistic regression approach for rarely occurring events,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture When will it change the lane? A probabilistic regression approach for rarely occurring events,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.206825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 473c5d79-721d-4409-9320-c68fc93eade9 · outbound

This paper cites Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:07:19.559348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cc3b214a-05a6-40f2-9b95-b22b6da2d8ed · outbound

This paper cites DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.188320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c9bc0eac-3958-4efa-b67e-2a385a2d33cc · outbound

This paper cites Social LSTM: Human trajectory prediction in crowded spaces,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Social LSTM: Human trajectory prediction in crowded spaces,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.169446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15627280-3019-4944-9778-fe411b6408a0 · outbound

This paper cites Multimodal motion prediction with stacked transformers,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Multimodal motion prediction with stacked transformers,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.151827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7ac6d282-4637-4508-9307-03c0bb1d4ea3 · outbound

This paper cites Scenario-transferable semantic graph reasoning for interaction-aware probabilistic prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Scenario-transferable semantic graph reasoning for interaction-aware probabilistic prediction,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.134318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 76ebd1dd-0401-41ae-9874-449098f74eb1 · outbound

This paper cites Intention- aware vehicle trajectory prediction based on spatial-temporal dynamic attention network for internet of vehicles,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Intention- aware vehicle trajectory prediction based on spatial-temporal dynamic attention network for internet of vehicles,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.113142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 970e0afd-b24b-4382-aa08-29699641371f · outbound

This paper cites GRIN: Generative relation and intention network for multi-agent trajectory prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture GRIN: Generative relation and intention network for multi-agent trajectory prediction,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.091596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 72efd989-eb1e-42b5-a009-aa12207296aa · outbound

This paper cites Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.073094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8d63fa2a-df14-4f70-aca8-e7ce99b92cd1 · outbound

This paper cites Evolvegraph: Multi-agent trajectory prediction with dynamic relational reasoning,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Evolvegraph: Multi-agent trajectory prediction with dynamic relational reasoning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.055181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9394310f-1808-4a93-adc6-415568514198 · outbound

This paper cites Multi-agent trajectory prediction with difficulty-guided feature enhancement network,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Multi-agent trajectory prediction with difficulty-guided feature enhancement network,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.038603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c34c6c5a-50b4-46b3-98e2-2e04de74fd03 · outbound

This paper cites Laformer: Trajectory prediction for autonomous driving 13 with lane-aware scene constraints,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Laformer: Trajectory prediction for autonomous driving 13 with lane-aware scene constraints,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:20.019241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6e8457fd-b3f7-49ca-96b8-1b2fb9a29eb1 · outbound

This paper cites GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.998926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ce7d0d1e-619c-43cd-ab7e-38fbca4d2051 · outbound

This paper cites Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.976842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 38460f14-9eee-4daa-8d2e-49d697764dae · outbound

This paper cites Agentformer: Agent- aware transformers for socio-temporal multi-agent forecasting,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Agentformer: Agent- aware transformers for socio-temporal multi-agent forecasting,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.960411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2df4d6b6-4874-407c-95ad-5b9f97663d1c · outbound

This paper cites HIVT: Hierarchical vector transformer for multi-agent motion prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture HIVT: Hierarchical vector transformer for multi-agent motion prediction,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.943402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fbb0d664-8958-4143-aac2-f8caa8c8a93e · outbound

This paper cites Bidirectional agent-map interaction feature learning leveraged by map-related tasks for trajectory prediction in autonomous driving,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Bidirectional agent-map interaction feature learning leveraged by map-related tasks for trajectory prediction in autonomous driving,

Reference 52

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:07:19.518297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a36fb29e-3cd9-4855-86b0-138890556a5e · outbound

This paper cites SOPHIE: An attentive GAN for predicting paths compliant to social and physical constraints,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture SOPHIE: An attentive GAN for predicting paths compliant to social and physical constraints,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.925968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5c361917-529c-4533-a319-29ff89384cc4 · outbound

This paper cites Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.907797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 619dfaf0-7d46-48c8-866c-13217e5c3a9d · outbound

This paper cites Trajectory prediction with graph-based dual-scale context fusion,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Trajectory prediction with graph-based dual-scale context fusion,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.890112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0ffa68e4-c0a9-43db-90a4-89b7363c5468 · outbound

This paper cites R-pred: Two-stage motion prediction via tube-query attention-based trajectory refinement,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture R-pred: Two-stage motion prediction via tube-query attention-based trajectory refinement,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.873309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation efbc6491-8ff8-4acd-996e-5a1d6276f385 · outbound

This paper cites Motion transformer with global intention localization and local movement refinement,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Motion transformer with global intention localization and local movement refinement,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.854111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6ffcdbd3-39cc-434d-8dbf-282ca22dab22 · outbound

This paper cites Bootstrap motion forecasting with self-consistent constraints,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Bootstrap motion forecasting with self-consistent constraints,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.837178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 45c8ddeb-bdee-466f-8f36-39918a48600e · outbound

This paper cites Macformer: Map-agent coupled transformer for real-time and robust trajectory prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Macformer: Map-agent coupled transformer for real-time and robust trajectory prediction,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.818695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 31d3e14d-6cfc-4814-85c8-fa8ac154acb5 · outbound

This paper cites SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.801347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2aaeee9e-13c1-4363-a7dc-ba7e4550666c · outbound

This paper cites FJMP: Fac- torized joint multi-agent motion prediction over learned directed acyclic interaction graphs,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture FJMP: Fac- torized joint multi-agent motion prediction over learned directed acyclic interaction graphs,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.784373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6f8e6a7c-6620-41c6-ac8c-340d29d8d6c9 · outbound

This paper cites Traj-MAE: Masked autoencoders for trajectory prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Traj-MAE: Masked autoencoders for trajectory prediction,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.766208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fbd62572-6a2f-41d6-a894-676ccdabe956 · outbound

This paper cites HDGT: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture HDGT: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.747708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe242b41-92ba-4ec8-bf68-ec4aadbbe928 · outbound

This paper cites THOMAS: Trajectory heatmap output with learned multi-agent sam- pling,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture THOMAS: Trajectory heatmap output with learned multi-agent sam- pling,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.731956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9c8dccf1-6321-4c37-87e0-1c19dd0db8b6 · outbound

This paper cites Latent variable sequential set transformers for joint multi-agent motion prediction,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Latent variable sequential set transformers for joint multi-agent motion prediction,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.714661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f9419833-a8a2-49c7-9a6e-fcc6ca4c5e92 · outbound

This paper cites Stochastic multiple choice learning for training diverse deep ensembles,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Stochastic multiple choice learning for training diverse deep ensembles,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.695103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 199b058b-c2cd-41ee-90e5-945e5ae2e9aa · outbound

This paper cites Argoverse: 3D tracking and forecasting with rich maps,.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Argoverse: 3D tracking and forecasting with rich maps,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:19.674952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f3b8b482-de03-4f2b-ac21-f27c67153995 · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:19.355271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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