Inventor

ZIA MUHAMMAD ZEESHAN

US19 patents

⚠️ This page may combine multiple inventors who share the name “ZIA MUHAMMAD ZEESHAN”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

ZIA MUHAMMAD ZEESHAN

RETROCAUSAL INC

System and method for building computational models of a goal-driven task from demonstration

System and method for management and evaluation of one or more human activities

System and method for optimizing industrial assembly processes

System and method for generating industrial processes in a computing environment

System and method for correlating video frames in a computing environment

Machine learning based systems and methods for optimizing industrial processes by analyzing layouts of environments

Machine learning based systems and methods for optimizing job efficiency based on generation of predetermined motion time system (PMTS) representations for tasks associated with jobs

System and method for learning human activities from video demonstrations using video augmentation

System and method for determining sub-activities in videos and segmenting the videos with little to no annotation

NEC LAB AMERICA INC

Action recognition system with landmark localization on objects in images using convolutional neural networks

Advanced driver-assistance system with landmark localization on objects in images using convolutional neural networks

Computer aided traffic enforcement using dense correspondence estimation with multi-level metric learning and hierarchical matching

Landmark localization on objects in images using convolutional neural networks

Surveillance system with landmark localization on objects in images using convolutional neural networks

Dense correspondence estimation with multi-level metric learning and hierarchical matching

Dense three-dimensional correspondence estimation with multi-level metric learning and hierarchical matching

MICROSOFT TECHNOLOGY LICENSING LLC

Action classification based on manipulated object movement

Real-world object recognition for computing device

Generating synthetic digital assets for a virtual scene including a model of a real-world object