Chenchi Luo

Computational Primitives Using A Matrix Multiplication Accelerator

Computational Primitives Using A Matrix Multiplication Accelerator

Multi-frame optical flow network with lossless pyramid micro-architecture

System and method for synthetic depth-of-field effect rendering for videos

System and method for generating bokeh image for DSLR quality depth-of-field rendering and refinement and training method for the same

Guided backpropagation-gradient updating for image processing task using redundant information from image

Multi-sensor, multi-view, multi-frame, multi-task synthetic image fusion engine for mobile imaging system

Systems and methods for quantitative evaluation of optical map quality and for data augmentation automation

Implementing fundamental computational primitives using a matrix multiplication accelerator (MMA)

Super-resolution depth map generation for multi-camera or other environments

Array-based depth estimation

Mobile data augmentation engine for personalized on-device deep learning system

Apparatus and method for dynamic multi-camera rectification using depth camera

Multi-task fusion neural network architecture

Asymmetric normalized correlation layer for deep neural network feature matching

System and method for convolutional layer structure for neural networks

Convolution streaming engine for deep neural networks

System and method for invertible wavelet layer for neural networks

Capturing a photo using a signature motion of a mobile device

Progressive compressed domain computer vision and deep learning systems

Dynamic memory mapping for neural networks

Implementing fundamental computational primitives using a matrix multiplication accelerator (MMA)