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Deep learning system for cuboid detection
Systems and methods for cuboid detection and keypoint localization in images are
disclosed. In one aspect, a deep cuboid detector can be used for simultaneous cuboid detec …
disclosed. In one aspect, a deep cuboid detector can be used for simultaneous cuboid detec …
Intersection pose detection in autonomous machine applications
T Pham, H Dou, BR Hervas, M Park, N Cvijetic… - US Patent …, 2024 - Google Patents
In various examples, live perception from sensors of a vehicle may be leveraged to generate
potential paths for the vehicle to navigate an intersection in real-time or near real-time. For …
potential paths for the vehicle to navigate an intersection in real-time or near real-time. For …
Convolution engine for neural networks
F Catthoor, P Raghavan, D Rodopoulos… - US Patent …, 2022 - Google Patents
(57) ABSTRACT A method and hardware system for map** an input map of a
convolutional neural network layer to an output map are disclosed. An array of processing …
convolutional neural network layer to an output map are disclosed. An array of processing …
Semantic image synthesis for generating substantially photorealistic images using neural networks
BACKGROUND [0001] Various software applications exist that enable users to manually
create or manipulate digital images. If the user wishes to create a photorealistic image, the …
create or manipulate digital images. If the user wishes to create a photorealistic image, the …
Method and apparatus for assigning image location and direction to a floorplan diagram based on artificial intelligence
A computer implemented method using artificial intelli gence for matching images with
locations and directions by acquiring a plurality of panoramic images, detecting objects and …
locations and directions by acquiring a plurality of panoramic images, detecting objects and …
Gradient normalization systems and methods for adaptive loss balancing in deep multitask networks
Systems and methods for training a multitask network is disclosed. In one aspect, training
the multitask network includes determining a gradient norm of a single-task loss adjusted by …
the multitask network includes determining a gradient norm of a single-task loss adjusted by …
Personalized neural network for eye tracking
Disclosed herein is a wearable display system for capturing retraining eye images of an eye
of a user for retraining a neural network for eye tracking. The system captures retraining eye …
of a user for retraining a neural network for eye tracking. The system captures retraining eye …
Material handling method, apparatus, and system for identification of a region-of-interest
The disclosed embodiments relate to a material handling method that generates three-
dimensional (3-D) point cloud data based on a field-of-view of an image capturing unit. A …
dimensional (3-D) point cloud data based on a field-of-view of an image capturing unit. A …
Systems, methods, and apparatuses for implementing a multi-resolution neural network for use with imaging intensive applications including medical imaging
Disclosed are provided systems, methods, and apparatuses for implementing a multi-
resolution neural network for use with imaging intensive applications including medical imag …
resolution neural network for use with imaging intensive applications including medical imag …
Method and apparatus for improved segmentation and recognition of images
(57) ABSTRACT A system for and method for improved computer vision image processing
and image segmentation and recognition is disclosed. The system and method utilizes a …
and image segmentation and recognition is disclosed. The system and method utilizes a …