Search Results for author:
Found 8 papers, 3 papers with code
Spatially Varying Nanophotonic Neural Networks
The explosive growth of computation and energy cost of artificial intelligence has spurred strong interests in new computing modalities as potential alternatives to conventional electronic processors.
Stochastic Light Field Holography
The Visual Turing Test is the ultimate goal to evaluate the realism of holographic displays.
Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding
We validate the benefit of adding sound detections to existing RGB cameras in challenging automotive scenarios, where camera-only approaches fail or do not deliver the ultra-fast rates of pressure sensors.
Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display
As a result, modern holographic displays possess low \'{e}tendue, which is the product of the display area and the maximum solid angle of diffracted light.
ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media
Most of today's supervised imaging and vision approaches, however, rely on training data collected in the real world that is biased towards good weather conditions, with dense fog, snow, and heavy rain as outliers in these datasets.
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues
Today's state-of-the-art methods for 3D object detection are based on lidar, stereo, or monocular cameras.
Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15,000 Patients
The 3CS model successfully detect LV for 99. 98% of all test cases (1 failed out of 5, 721 cases).
Hyperparameter Optimization in Black-box Image Processing using Differentiable Proxies
We present a fully automatic system to optimize the parameters of black-box hardware and software image processing pipelines according to any arbitrary (i. e., application-specific) metric.
