Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction | Paper Citation Record

Observation 240e39bb-ea06-45cf-ad9e-af5e40a53fa5 · outbound

This paper cites Where will they go? predict- ing fine-grained adversarial multi-agent motion using conditional variational autoencoders,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Where will they go? predict- ing fine-grained adversarial multi-agent motion using conditional variational autoencoders,

Reference 1

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Observation f45019dd-671b-4b1e-849b-6f311e28c3ec · outbound

This paper cites Imitative non-autoregressive modeling for trajectory forecasting and imputation,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Imitative non-autoregressive modeling for trajectory forecasting and imputation,

Reference 2

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Observation 2167a8f0-fa9e-48b5-b10c-ff7a662e0e19 · outbound

This paper cites stagnet: An attentive semantic rnn for group activity recognition,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction stagnet: An attentive semantic rnn for group activity recognition,

Reference 3

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Observation 5b805ce5-6f32-4178-b3b9-3a05b0afa089 · outbound

This paper cites Groupnet: Multi- scale hypergraph neural networks for trajectory prediction with relational reasoning,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Groupnet: Multi- scale hypergraph neural networks for trajectory prediction with relational reasoning,

Reference 4

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Observation fa9bc70b-0ce6-4342-a29f-3aa590c859bd · outbound

This paper cites Query-centric trajectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Query-centric trajectory prediction,

Reference 5

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Observation 9806a3ca-e9d4-4740-abce-668d33e37732 · outbound

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

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Social lstm: Human trajectory prediction in crowded spaces,

Reference 6

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Observation dbef0b97-3bc8-4ded-8d82-3c65de517c64 · outbound

This paper cites Stgat: Modeling spatial-temporal interactions for human trajectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Stgat: Modeling spatial-temporal interactions for human trajectory prediction,

Reference 7

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Observation d9e2f04b-a115-47fb-acf8-504580fbc8f9 · outbound

This paper cites Bifold and semantic reasoning for pedestrian behavior prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Bifold and semantic reasoning for pedestrian behavior prediction,

Reference 8

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Observation 0e2c22b6-9f3c-49e0-aeb5-2e72f612d1a1 · outbound

This paper cites Towards efficient human-robot collaboration with robust plan recognition and tra- jectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Towards efficient human-robot collaboration with robust plan recognition and tra- jectory prediction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.935153Z

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Observation b2f13ab5-c9ac-432c-b5c1-e6c5c8633c41 · outbound

This paper cites Social gan: Socially acceptable trajectories with generative adversarial networks,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Social gan: Socially acceptable trajectories with generative adversarial networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.918124Z

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Observation 4adba5ca-1b55-47eb-b1a8-b45fed1bb487 · outbound

This paper cites Trajec- tron++: Dynamically-feasible trajectory forecasting with heteroge- neous data,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Trajec- tron++: Dynamically-feasible trajectory forecasting with heteroge- neous data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.899972Z

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Observation 93c889c1-3b9c-4cfa-a865-5f73a2cb0f67 · outbound

This paper cites It is not the journey but the destination: Endpoint conditioned trajectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction It is not the journey but the destination: Endpoint conditioned trajectory prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.882033Z

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Observation 9620bbb8-c04f-4701-9b84-dd6037e52db1 · outbound

This paper cites Stochastic trajectory prediction via motion indeterminacy diffusion,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Stochastic trajectory prediction via motion indeterminacy diffusion,

Reference 13

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Observation 7b4a06c1-a33b-418a-98ee-ac44a843937d · outbound

This paper cites Leapfrog diffusion model for stochastic trajectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Leapfrog diffusion model for stochastic trajectory prediction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.843773Z

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Observation 2816fd8f-e1e0-4351-8f45-f95efcc5f24c · outbound

This paper cites Singulartrajectory: Universal trajectory predictor using diffusion model,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Singulartrajectory: Universal trajectory predictor using diffusion model,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.823076Z

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Observation c258248e-eaec-4ec0-bafc-94ecd79199a5 · outbound

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

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Social- stgcnn: A social spatio-temporal graph convolutional neural net- work for human trajectory prediction,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.804118Z

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Observation 30e6d1ed-0e12-4a20-93ab-317e8b9e689f · outbound

This paper cites Classifier-Free Diffusion Guidance.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Classifier-Free Diffusion Guidance

Reference 17

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Observation 39f7ba41-226f-4646-8063-bf472dc9862b · outbound

This paper cites Video-text as game players: Hierarchical banzhaf interac- tion for cross-modal representation learning,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Video-text as game players: Hierarchical banzhaf interac- tion for cross-modal representation learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.785560Z

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Observation 3821d55c-d166-4e96-b40c-150cac688c7b · outbound

This paper cites Ask me anything: Dynamic memory networks for natural language processing,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Ask me anything: Dynamic memory networks for natural language processing,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.767237Z

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Observation 12165a34-db7b-4cd3-8b00-73f3ac6351ae · outbound

This paper cites Social force model for pedestrian dynamics,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Social force model for pedestrian dynamics,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.748289Z

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Observation 33e9aad1-81da-4401-936c-4b5f97f84e87 · outbound

This paper cites Social attention: Modeling attention in human crowds,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Social attention: Modeling attention in human crowds,

Reference 21

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Observation 4b0faacc-009f-4f2e-9ead-c1fc3aa86022 · outbound

This paper cites Stc-gan: Spatio-temporally coupled generative adversarial networks for predictive scene pars- ing,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Stc-gan: Spatio-temporally coupled generative adversarial networks for predictive scene pars- ing,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.718292Z

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Observation e86817bd-a61c-40a7-bc9c-4d47ae581e2d · outbound

This paper cites Weakly-supervised temporal action localization by inferring salient snippet-feature,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Weakly-supervised temporal action localization by inferring salient snippet-feature,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.700679Z

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Observation f6b59ced-0680-47bd-9b74-1e2751d060ba · outbound

This paper cites Attentive relational networks for mapping images to scene graphs,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Attentive relational networks for mapping images to scene graphs,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.683041Z

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Observation 3c63d726-17c5-4188-8cc5-baf202c416fa · outbound

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

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Evolvegraph: Multi- agent trajectory prediction with dynamic relational reasoning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.665479Z

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Observation 3b24c513-6c45-4dc1-b19e-f240ef99625d · outbound

This paper cites Social-implicit: Rethinking trajectory prediction evaluation and the effectiveness of implicit maximum likelihood estimation,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Social-implicit: Rethinking trajectory prediction evaluation and the effectiveness of implicit maximum likelihood estimation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.645846Z

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Observation f45712db-c8ef-4626-b872-a55ceb879e2b · outbound

This paper cites Sgcn: Sparse graph convolution network for pedestrian trajectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Sgcn: Sparse graph convolution network for pedestrian trajectory prediction,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.627375Z

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Observation cde8dc33-d523-4cfd-9eb7-eb72475428c7 · outbound

This paper cites Adaptive trajectory prediction via transferable gnn,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Adaptive trajectory prediction via transferable gnn,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.608311Z

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Observation 9a2026a6-9d5a-4f2c-bf63-424b3d677661 · outbound

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

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Sophie: An attentive gan for predicting paths compliant to social and physical constraints,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.591968Z

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Observation c1dda4a0-34c0-483e-bc17-58949c7b4fba · outbound

This paper cites Mg-gan: A multi- generator model preventing out-of-distribution samples in pedes- trian trajectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Mg-gan: A multi- generator model preventing out-of-distribution samples in pedes- trian trajectory prediction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.574702Z

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Observation a5ff2d30-611e-4b2a-9dce-3722c19b3268 · outbound

This paper cites Stimulus verification is a universal and effective sampler in multi-modal human trajectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Stimulus verification is a universal and effective sampler in multi-modal human trajectory prediction,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.558412Z

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Observation 41e877e1-04d0-4b15-ae9c-08d6c5fa992e · outbound

This paper cites Personalized trajectory prediction via distribution discrimination,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Personalized trajectory prediction via distribution discrimination,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.540122Z

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Observation e1f9d575-9ba5-4a46-af7c-9c193b0a3ba9 · outbound

This paper cites The trajectron: Probabilistic multi- agent trajectory modeling with dynamic spatiotemporal graphs,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction The trajectron: Probabilistic multi- agent trajectory modeling with dynamic spatiotemporal graphs,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.523646Z

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Observation e90d184a-542b-4fd5-94db-9e298ec61f64 · outbound

This paper cites Muse-vae: Multi-scale vae for environment-aware long term tra- jectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Muse-vae: Multi-scale vae for environment-aware long term tra- jectory prediction,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.505537Z

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Observation 376b20cb-01d0-4597-9360-b73e95a28570 · outbound

This paper cites Desire: Distant future prediction in dynamic scenes with interacting agents,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Desire: Distant future prediction in dynamic scenes with interacting agents,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.488644Z

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Observation 2774bdb2-2990-4f0b-b36c-e9fc07ce2700 · outbound

This paper cites Trace and pace: Controllable pedestrian animation via guided trajectory diffusion,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Trace and pace: Controllable pedestrian animation via guided trajectory diffusion,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.471067Z

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Observation 20bf855c-4cd9-44d0-b640-c41d8ba2c85d · outbound

This paper cites Motiondiffuser: Controllable multi-agent motion prediction using diffusion,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Motiondiffuser: Controllable multi-agent motion prediction using diffusion,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.452690Z

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Observation 80b63dc7-d4c0-4307-8f29-41d95731a89c · outbound

This paper cites Following in the footsteps: Predicting human trajectories using motion pattern memory,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Following in the footsteps: Predicting human trajectories using motion pattern memory,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.434559Z

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Observation 9025aec8-62a7-41d5-8d7d-135df47d1a58 · outbound

This paper cites Ss-lstm: A hierarchical lstm model for pedestrian trajectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Ss-lstm: A hierarchical lstm model for pedestrian trajectory prediction,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.417183Z

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.

Observation 22722cef-f7aa-41e3-9b1c-a95793b0ca13 · outbound

This paper cites Mantra: Memory augmented networks for multiple trajectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Mantra: Memory augmented networks for multiple trajectory prediction,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.397788Z

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.

Observation f832b38a-b0fb-404b-a40c-10b41eeb889d · outbound

This paper cites Ball trajectory inference from multi-agent sports contexts using set transformer and hierarchical bi-lstm,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Ball trajectory inference from multi-agent sports contexts using set transformer and hierarchical bi-lstm,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.377429Z

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Observation 3ef11da6-5caa-4548-926a-92f4cb7309a5 · outbound

This paper cites Multi-modal trajectory prediction of nba players,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Multi-modal trajectory prediction of nba players,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.358852Z

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.

Observation 4220ba6f-83af-4327-8be2-ec1005c1737b · outbound

This paper cites Sports video captioning via attentive motion representation and group relationship model- ing,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Sports video captioning via attentive motion representation and group relationship model- ing,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.340600Z

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.

Observation 8fd2d46f-66ac-4c74-a93e-04e515774c02 · outbound

This paper cites Semi-supervised teacher- reference-student architecture for action quality assessment,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Semi-supervised teacher- reference-student architecture for action quality assessment,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.322212Z

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.

Observation 13cd6123-a21c-45fa-b266-a5c4069f8403 · outbound

This paper cites Semantics-aware spatial-temporal binaries for cross-modal video retrieval,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Semantics-aware spatial-temporal binaries for cross-modal video retrieval,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:18.303926Z

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.

Observation cf580201-9e7a-4c28-a7bc-1d8cf5391fad · outbound

This paper cites Denoising diffusion probabilistic models,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Denoising diffusion probabilistic models,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:17.660805Z

Source-reported events for the cited work

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Observation 63626879-f844-44e2-9a72-ae455ce65128 · outbound

This paper cites Denoising Diffusion Implicit Models.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Denoising Diffusion Implicit Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:17.666553Z

Source-reported events for the cited work

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Observation ff0a6afd-4afc-4655-b2a2-bd80706367f3 · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Structured denoising diffusion models in discrete state-spaces,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:17.671797Z

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Observation 8ca44bc4-8e2a-4ab4-9fcb-61c3dbb4f9f8 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Diffusion models beat gans on image synthesis,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:17.676830Z

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Observation 198f26c8-720d-43c6-918a-6bdb38777c5c · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction High-resolution image synthesis with latent diffusion models,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:17.681742Z

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Observation 6a106a57-ceaa-4957-b576-b6f85537737f · outbound

This paper cites Is Conditional Generative Modeling all you need for Decision-Making?.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Is Conditional Generative Modeling all you need for Decision-Making?

Reference 51

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Rabin et al., Incorporating fairness into game theory and economics

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Unresolved cited work

Reference 53

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Unresolved cited work

Reference 54

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Osborne and A

Reference 55

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This paper cites Forecast- ing interactive dynamics of pedestrians with fictitious play,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Forecast- ing interactive dynamics of pedestrians with fictitious play,

Reference 56

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Fine-grained semantically aligned vision-language pre- training,

Reference 57

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction A value for n-person games,

Reference 58

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction The shapley value,

Reference 59

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This paper cites Weighted voting doesn’t work: A mathematical anal- ysis,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Weighted voting doesn’t work: A mathematical anal- ysis,

Reference 60

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction An axiomatization of the banzhaf value,

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Explaining deep convolutional neural networks via latent visual-semantic filter attention,

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Gameformer: Game-theoretic mod- eling and learning of transformer-based interactive prediction and planning for autonomous driving,

Reference 63

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 64

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction An axiomatic approach to the concept of interaction among players in cooperative games,

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Focal loss for dense object detection,

Reference 66

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This paper cites Knowledge-inspired 3d scene graph prediction in point cloud,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Knowledge-inspired 3d scene graph prediction in point cloud,

Reference 67

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This paper cites TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos

Reference 68

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Pytorch: An imperative style, high-performance deep learning library,

Reference 69

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This paper cites Socialcircle: Learn- ing the angle-based social interaction representation for pedestrian trajectory prediction,.

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction Socialcircle: Learn- ing the angle-based social interaction representation for pedestrian trajectory prediction,

Reference 70

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction LoRA: Low-Rank Adaptation of Large Language Models

Reference 71

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