End-to-end phase-mask optimization improves classification under constrained detector readout by increasing class separability but yields no benefit under full readout, where a conventional lens approaches the mutual-information ceiling.
Low-latency automotive vision with event cameras
3 Pith papers cite this work, alongside 181 external citations. Polarity classification is still indexing.
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cs.CV 3representative citing papers
FATE combines pillar encoding via orthogonal polynomial basis with frequency-aware training to enable event-based object detection at up to 200 Hz without internal temporal sub-binning.
A hand-configured spiking network of time-difference encoders estimates vehicle yaw rate from event-camera data, claiming order-of-magnitude lower rotational error than prior event-based methods.
citing papers explorer
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End-to-End Optimization of Incoherent Imaging for Classification Under Detector-Limited Readout
End-to-end phase-mask optimization improves classification under constrained detector readout by increasing class separability but yields no benefit under full readout, where a conventional lens approaches the mutual-information ceiling.
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FATE: Pillar Encoding and Frequency-Aware Training for Event-Based Object Detection
FATE combines pillar encoding via orthogonal polynomial basis with frequency-aware training to enable event-based object detection at up to 200 Hz without internal temporal sub-binning.