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04/05/2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
We propose a new policy representation based on score-based diffusion mo...
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03/27/2023
Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts
Mixtures of Experts (MoE) are known for their ability to learn complex c...
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03/08/2023
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks
Due to the complex and changing interactions in dynamic scenarios, motio...
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12/03/2021
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Accurately predicting possible behaviors of traffic participants is an e...
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06/23/2021
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation
It is desirable to transfer the knowledge stored in a well-trained sourc...
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03/09/2021
On complementing end-to-end human motion predictors with planning
High capacity end-to-end approaches for human motion prediction have the...
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02/03/2021