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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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03/08/2023
CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation
Beyond novel view synthesis, Neural Radiance Fields are useful for appli...
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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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01/29/2022
Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors
Pedestrian crossing prediction has been a topic of active research, resu...
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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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10/13/2021
LENS: Localization enhanced by NeRF synthesis
Neural Radiance Fields (NeRF) have recently demonstrated photo-realistic...
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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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09/02/2021
TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction
Understanding the behaviors and intentions of pedestrians is still one o...
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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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03/19/2021
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization
In this paper, we investigate visual-based camera localization with neur...
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10/07/2009