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Found 5 papers, 2 papers with code
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification
Learning a powerful representation from point clouds is a fundamental and challenging problem in the field of computer vision.
Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting
HMNet first infers the hierarchical difference on motions to encode physically compliant patterns with high expressivity of moving trends and driving intentions.
Recursive Least Squares Based Refinement Network for the Rollout Trajectory Prediction Methods
Trajectory prediction plays a pivotal role in the field of intelligent vehicles.
Spatial-Channel Transformer Network for Trajectory Prediction on the Traffic Scenes
In this paper, we present a Spatial-Channel Transformer Network for trajectory prediction with attention functions.
Semi-Dense 3D Semantic Mapping from Monocular SLAM
The bundle of geometry and appearance in computer vision has proven to be a promising solution for robots across a wide variety of applications.
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