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08/17/2023
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
Exploring spatial-temporal dependencies from observed motions is one of ...
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08/09/2023
Joint-Relation Transformer for Multi-Person Motion Prediction
Multi-person motion prediction is a challenging problem due to the depen...
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05/30/2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
This work considers the category distribution heterogeneity in federated...
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03/20/2023
Leapfrog Diffusion Model for Stochastic Trajectory Prediction
To model the indeterminacy of human behaviors, stochastic trajectory pre...
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03/20/2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Learning to predict agent motions with relationship reasoning is importa...
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10/14/2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning
One of the key challenges in federated learning (FL) is local data distr...
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07/11/2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
In multi-modal multi-agent trajectory forecasting, two major challenges ...
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06/27/2022
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning
Demystifying the interactions among multiple agents from their past traj...
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04/19/2022
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning
Demystifying the interactions among multiple agents from their past traj...
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03/22/2022
Remember Intentions: Retrospective-Memory-based Trajectory Prediction
To realize trajectory prediction, most previous methods adopt the parame...
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04/21/2021
Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks
With the fast growing demand on new services and applications as well as...
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12/17/2020