Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting | Paper Citation Record

Observation d9de73ed-4961-4fb5-bc73-e97dbebf1506 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting nuscenes: A multimodal dataset for autonomous driving

Reference 1

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Observation 1bfc2c24-c20f-48b2-88ca-c965fb33855f · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 2

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Observation ecc16cf5-bd49-4f25-a123-10ebc3b77d85 · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.658092Z

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Observation 5801f6fc-4a4e-4598-9ff1-6c532c5de682 · outbound

This paper cites Pretram: Self-supervised pre-training via connecting trajectory and map.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Pretram: Self-supervised pre-training via connecting trajectory and map

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.647958Z

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Observation 40789518-260b-427e-8d2f-7ff97f0d7613 · outbound

This paper cites SEPT: Towards Efficient Scene Representation Learning for Motion Prediction.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

Reference 5

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Observation c7b36f60-a85a-4302-86a7-5725b417c1cc · outbound

This paper cites Forecast-MAE: Self-supervised pre-training for motion forecasting with masked autoencoders.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Forecast-MAE: Self-supervised pre-training for motion forecasting with masked autoencoders

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.637296Z

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Observation ca9906bd-2aa7-49fe-afb8-d9d92d1fa189 · outbound

This paper cites Dyset: A dynamic masked self-distillation approach for robust trajectory prediction.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Dyset: A dynamic masked self-distillation approach for robust trajectory prediction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.626192Z

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Observation 154f2285-3948-446a-8d02-8ca4faac9ee0 · outbound

This paper cites Smartpretrain: Model-agnostic and dataset-agnostic representation learning for motion prediction, 10 2024.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Smartpretrain: Model-agnostic and dataset-agnostic representation learning for motion prediction, 10 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.614490Z

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Observation 3fb2598d-6492-4e0a-bda6-3f282f9d94f8 · outbound

This paper cites SSL-lanes: Self-supervised learning for motion fore- casting in autonomous driving.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting SSL-lanes: Self-supervised learning for motion fore- casting in autonomous driving

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.604247Z

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

Observation 1ca59c47-aaef-48b0-bc8d-14e892902013 · outbound

This paper cites Social nce: Contrastive learning of socially-aware motion representations.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Social nce: Contrastive learning of socially-aware motion representations

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.594055Z

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Observation 587eaf52-1d9c-4770-adf1-3b75ff072c1e · outbound

This paper cites Perceiver: General percep- tion with iterative attention.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Perceiver: General percep- tion with iterative attention

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.583841Z

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Observation 6a8ebaad-b9ad-4634-ad63-7b55a51f1eb5 · outbound

This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Perceiver IO: A General Architecture for Structured Inputs & Outputs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:12.063650Z

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Observation 9be7401c-d1ab-4415-8150-db9b525ca223 · outbound

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

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Hivt: Hierarchical vector transformer for multi-agent motion prediction

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.573674Z

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Observation 268b6684-9108-443d-ae43-ef76c0b3ce7f · outbound

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

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Motion transformer with global intention localization and local movement refinement

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.563405Z

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

Observation 1dba0b7f-3ba3-4dca-9907-0822da04d285 · outbound

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

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Hpnet: Dynamic trajectory forecasting with historical prediction attention

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.553594Z

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 ccfede1d-bd8b-412f-9cd6-56be715c0f54 · outbound

This paper cites Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.543770Z

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

Observation 5040b8d3-52e8-4b9e-a3bb-2185a7fb704a · outbound

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

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Wayformer: Motion forecasting via simple & efficient attention networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.533653Z

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Observation 37541a20-695c-402f-9f51-3a032afc93ad · outbound

This paper cites Motionlm: Multi-agent motion forecasting as language modeling.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Motionlm: Multi-agent motion forecasting as language modeling

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.523909Z

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Observation e2660654-585f-4fe3-b34a-778f25e7120a · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Bootstrap your own latent-a new approach to self-supervised learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.513946Z

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

Observation 43ceb9fb-4373-4b1f-a15c-9b4eae03f020 · outbound

This paper cites UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction

Reference 20

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Observation b1522105-c620-4f55-abcc-f1e8bdb712e8 · outbound

This paper cites Vision transformers need registers.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Vision transformers need registers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.503347Z

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

Observation ee9ce18c-845f-49cc-8290-620d7d19dfd4 · outbound

This paper cites Multimodal trajectory prediction conditioned on lane-graph traversals.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Multimodal trajectory prediction conditioned on lane-graph traversals

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.493170Z

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 3d26d769-930e-41eb-b98c-b9be14cac843 · outbound

This paper cites Multimodal trajectory predictions for autonomous driving using deep convolutional networks.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Multimodal trajectory predictions for autonomous driving using deep convolutional networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.482160Z

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

Observation 98e1e2e0-12ca-45dd-a0ca-9490134dc497 · outbound

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

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Latent variable sequential set transformers for joint multi-agent motion prediction

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.471196Z

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

Observation 54a29f08-facf-466f-af54-3d243925ccd1 · outbound

This paper cites Scene transformer: A unified architecture for predicting future trajectories of multiple agents.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Scene transformer: A unified architecture for predicting future trajectories of multiple agents

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.460534Z

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 8615510f-7d08-4fb6-9059-91f64b40d6be · outbound

This paper cites Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.449583Z

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

Observation 33396a6c-f9c2-4b3a-9439-cd64841cc5f6 · outbound

This paper cites Trajectory prediction for autonomous driving based on multi-head attention with joint agent-map representation.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Trajectory prediction for autonomous driving based on multi-head attention with joint agent-map representation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.439217Z

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

Observation 9c552480-2897-415d-b916-166caaa414c1 · outbound

This paper cites Real-time motion prediction via hetero- geneous polyline transformer with relative pose encoding.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Real-time motion prediction via hetero- geneous polyline transformer with relative pose encoding

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.428326Z

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 80ae8451-3e59-4419-8de1-cbfca52b9a77 · outbound

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

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Vectornet: Encoding hd maps and agent dynamics from vectorized representation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.417402Z

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

Observation adab9c4c-ce6d-4989-a77b-6a4bc23e3848 · outbound

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

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Lanercnn: Distributed representations for graph-centric motion forecasting

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.406580Z

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 52b5aab0-1e5f-4135-a6c3-37c5699ab434 · outbound

This paper cites Adaptive trajectory prediction via transferable gnn.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Adaptive trajectory prediction via transferable gnn

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:12.134960Z

Source-reported events for the cited work

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Observation b5da0478-f9f7-4209-af08-6b860273fd08 · outbound

This paper cites Multimodal motion prediction with stacked transformers.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Multimodal motion prediction with stacked transformers

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.389697Z

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 2be1e56f-438c-46e3-99a4-5e7d352e6458 · outbound

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

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Latent variable sequential set transformers for joint multi-agent motion prediction

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.378898Z

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 46d3e926-3728-4cff-8a29-0d8ade5b819b · outbound

This paper cites Query-centric trajectory prediction.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Query-centric trajectory prediction

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.367950Z

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

Observation b8f2df6e-5d75-4670-875e-3aa526f82daf · outbound

This paper cites Learning lane graph representations for motion forecasting.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Learning lane graph representations for motion forecasting

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.356836Z

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 5605bdc3-319f-46f6-a3fc-c183e86610f8 · outbound

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

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Hdgt: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.345879Z

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 8e19599e-990b-40c3-9dc1-cf931eb688c2 · outbound

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

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.332938Z

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 6b17bb02-9cf6-459c-9ff3-95e7048d9d16 · outbound

This paper cites Adapt: Efficient multi-agent trajectory prediction with adaptation.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Adapt: Efficient multi-agent trajectory prediction with adaptation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.321658Z

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 0e13c359-d81e-47ca-b695-29238d57e6e5 · outbound

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

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Densetnt: End-to-end trajectory prediction from dense goal sets

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.309691Z

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 7175bffd-526f-4d41-b6fe-c11124286b9a · outbound

This paper cites Traj-MAE: Masked Autoencoders for Trajectory Prediction.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Traj-MAE: Masked Autoencoders for Trajectory Prediction

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:12.166935Z

Source-reported events for the cited work

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Observation 03d1ac7e-df02-4d9a-8e08-625e1e82b0d3 · outbound

This paper cites Encoder and decoder, not one less for pre-trained language model sponsored nmt.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Encoder and decoder, not one less for pre-trained language model sponsored nmt

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.297851Z

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 c52e02e3-d4a9-45cf-aac8-9ddb7d882fbe · outbound

This paper cites Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:12.174513Z

Source-reported events for the cited work

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Observation 32f3d4e1-bb8c-4015-b012-83c4dfc16603 · outbound

This paper cites Visual prompt tuning.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Visual prompt tuning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:12.285094Z

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 b3b5c208-fc20-47f6-80aa-9a26313d4274 · outbound

This paper cites Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:12.182086Z

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