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Found 4 papers, 1 papers with code
Towards General and Fast Video Derain via Knowledge Distillation
As a common natural weather condition, rain can obscure video frames and thus affect the performance of the visual system, so video derain receives a lot of attention.
Event Voxel Set Transformer for Spatiotemporal Representation Learning on Event Streams
To fit the sparse nature of events and sufficiently explore the relationship between them, we develop a novel attention-aware model named Event Voxel Set Transformer (EVSTr) for spatiotemporal representation learning on event streams.
A Temporal Densely Connected Recurrent Network for Event-based Human Pose Estimation
By this recurrent architecture, we can explicitly model not only the sequential but also non-sequential geometric consistency across time steps to accumulate information from previous frames to recover the entire human bodies, achieving a stable and accurate human pose estimation from event data.
RRV: A Spatiotemporal Descriptor for Rigid Body Motion Recognition
Motion behaviors of a rigid body can be characterized by a 6-dimensional motion trajectory, which contains position vectors of a reference point on the rigid body and rotations of this rigid body over time.
