Estimating the joint distribution of on-road agents' future trajectories...
This paper investigates a phenomenon where query-based object detectors
...
Vehicle velocity and inter-vehicle distance estimation are essential for...
Despite the success of deep learning on supervised point cloud semantic
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Most of the 3D networks are trained from scratch owning to the lack of
l...
We propose a method to disentangle linear-encoded facial semantics from
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Dense Depth estimation plays a key role in multiple applications such as...
Depth estimation features are helpful for 3D recognition. Commodity-grad...
Automatic melody generation has been a long-time aspiration for both AI
...