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09/16/2023
RMP: A Random Mask Pretrain Framework for Motion Prediction
As the pretraining technique is growing in popularity, little work has b...
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09/15/2023
MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly
We present MBAPPE, a novel approach to motion planning for autonomous dr...
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05/14/2023
TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction
Predicting future motions of nearby agents is essential for an autonomou...
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10/10/2022
Exploiting map information for self-supervised learning in motion forecasting
Inspired by recent developments regarding the application of self-superv...
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05/15/2022
Uncertainty estimation for Cross-dataset performance in Trajectory prediction
While a lot of work has been done on developing trajectory prediction me...
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05/05/2022
ImPosIng: Implicit Pose Encoding for Efficient Camera Pose Estimation
We propose a novel learning-based formulation for camera pose estimation...
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02/04/2022
Enhanced Behavioral Cloning with Environmental Losses for Self-Driving Vehicles
Learned path planners have attracted research interest due to their abil...
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11/07/2021
Information Extraction from Visually Rich Documents with Font Style Embeddings
Information extraction (IE) from documents is an intensive area of resea...
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10/13/2021
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
In this paper, we propose THOMAS, a joint multi-agent trajectory predict...
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09/04/2021
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
In this paper, we propose GOHOME, a method leveraging graph representati...
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05/23/2021
HOME: Heatmap Output for future Motion Estimation
In this paper, we propose HOME, a framework tackling the motion forecast...
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10/08/2019