Netflix Inc.

Aurora Operations, Inc.

Dong Liu

Rohit Puri

Lezi Wang

Sen Lin

Andrew Steil Michaels

Xue Wu Liu

Ashish Bhardwaj

Subhabrata Bhattacharya

Nagendra K Kamath

The disclosed computer-implemented method may include accessing media segments that correspond to respective media items. At least one of the media segments may be divided into discrete video shots. The method may also include matching the discrete video shots in the media segments to corresponding video shots in the corresponding media items according to various matching factors. The method may further include generating a relative similarity score between the matched video shots in the media segments and the corresponding video shots in the media items, and training a machine learning model to automatically identify video shots in the media items according to the generated relative similarity score between matched video shots. Various other methods, systems, and computer-readable media are also disclosed.

Automatic trailer detection in multimedia content

A light detection and ranging (LIDAR) system for a vehicle can include: a light source configured to output a beam; a photonics integrated circuit (PIC) including a semiconductor die, the semiconductor die comprising a substrate having two or more semiconductor devices formed on the substrate, the two or more semiconductor devices configured to receive the beam from the light source and modify the beam and at least one photonics die coupled to the semiconductor die, the at least one photonics die comprising at least a transmitter configured to receive the beam from the semiconductor die; and one or more optics configured to receive the beam from the transmitter and emit the beam towards an object in an environment of the vehicle.

LIDAR sensor system including integrated modulator

A light detection and ranging (LIDAR) sensor system for a vehicle can include: a light source configured to output a beam; a photonics integrated circuit (PIC) including a semiconductor die, the semiconductor die including a substrate having two or more semiconductor stacks respectively associated with two or more semiconductor devices formed on the substrate, the two or more semiconductor devices respectively configured to receive the beam from the light source and modify one or more features of the beam; a transmitter configured to receive the beam from the semiconductor die; and one or more optics configured to receive the beam from the transmitter and emit the beam towards an object.

The disclosed computer-implemented method may include generating a three-dimensional (3D) feature map for a digital image using a fully convolutional network (FCN). The 3D feature map may be configured to identify features of the digital image and identify an image region for each identified feature. The method may also include generating a region composition graph that includes the identified features and image regions. The region composition graph may be configured to model mutual dependencies between features of the 3D feature map. The method may further include performing a graph convolution on the region composition graph to determine a feature aesthetic value for each node according to the weightings in the node's weighted connecting segments, and calculating a weighted average for each node's feature aesthetic value to provide a combined level of aesthetic appeal for the digital image. Various other methods, systems, and computer-readable media are also disclosed.

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San Jose, CA, United States of America

Dong Liu