12 patents
Utility
K-cluster Residue Number System Capable of Performing Complement Conversion, Sign Detection, Magnitude Comparison and Division
13 Jul 23
A k-cluster residue number system includes a processor and a memory.
Oscar Ming Kin Law, Chun Chen Liu, Hsiang-Tsun Li, JUNJIE SU
Filed: 12 Jan 22
Utility
Three-dimensional Integrated Circuit
13 Jul 23
A 3D integrated circuit includes a substrate, a first layer on top of the substrate, and a second layer on top of the first layer.
Oscar Ming Kin Law, Chun Chen Liu
Filed: 12 Jan 22
Utility
Pooling operation device and method for convolutional neural network
9 Mar 21
A pooling operation method for a convolutional neural network includes the following steps of: reading multiple new data in at least one current column of a pooling window; performing a first pooling operation with the new data to generate at least a current column pooling result; storing the current column pooling result in a buffer; and performing a second pooling operation with the current column pooling result and at least a preceding column pooling result stored in the buffer to generate a pooling result of the pooling window.
Yuan Du, Li Du, Chun-Chen Liu
Filed: 2 Nov 17
Utility
Method and system of virtual footwear try-on with improved occlusion
9 Mar 21
A method and system of virtual footwear try-on with improved occlusion processing are disclosed.
Chih-Hsing Chu, Han-Sheng Wu, Chia-Chen Kuo
Filed: 24 Apr 19
Utility
Convolution operation device and convolution operation method
2 Mar 21
A convolution operation device includes a convolution calculation module, a memory and a buffer device.
Li Du, Yuan Du, Chun-Chen Liu
Filed: 2 Nov 17
Utility
Face identification system and face identification method with high security level and low power consumption
4 Jan 21
A face identification system includes a transmitter, a receiver, a database, an artificial intelligence chip, and a main processor.
Chun-Chen Liu
Filed: 21 Jan 18
Utility
Image depth decoder and computing device
5 Oct 20
An image depth decoder includes an NIR image buffer, a reference image ring buffer and a pattern matching engine.
Ming-Zhe Jiang, Yuan Du, Li Du, Jie Wu, Jun-Jie Su
Filed: 16 Oct 18
Utility
Image Depth Decoder and Computing Device
22 Apr 20
An image depth decoder includes an NIR image buffer, a reference image ring buffer and a pattern matching engine.
Ming-Zhe JIANG, Yuan DU, Li DU, Jie WU, Jun-Jie SU
Filed: 16 Oct 18
Utility
Low-power face identification method capable of controlling power adaptively
6 Apr 20
A low-power face identification method includes detecting an object image, extracting two-dimensional image information of the object image, and when the two-dimensional image information is undetected as a face feature, disabling all related components for inhibiting a three-dimensional face recognition function.
Chun-Chen Liu
Filed: 5 Feb 18
Utility
Multi-layer neural network
3 Feb 20
A multi-layer artificial neural network having at least one high-speed communication interface and N computational layers is provided.
Yilei Li, Yuan Du, Chun-Chen Liu, Li Du
Filed: 21 Aug 16
Utility
Method of compressing convolution parameters, convolution operation chip and system
23 Dec 19
A method for compressing multiple original convolution parameters into a convolution operation chip includes steps of: determining a range of the original convolution parameters; setting an effective bit number for the range; setting a representative value, wherein the representative value is within the range; calculating differential values between the original convolution parameters and the representative value; quantifying the differential values to a minimum effective bit to obtain a plurality of compressed convolution parameters; and transmitting the effective bit number, the representative value and the compressed convolution parameters to the convolution operation chip.
Li Du, Yuan Du, Jun-Jie Su, Ming-Zhe Jiang
Filed: 8 Feb 18
Utility
Self-tuning Model Compression Methodology for Reconfiguring Deep Neural Network and Electronic Device
11 Dec 19
A self-tuning model compression methodology for reconfiguring a Deep Neural Network includes: receiving a DNN model and a data set, wherein the DNN includes an input layer, at least one hidden layer and an output layer, and said at least one hidden layer and the output layer of the DNN model includes a plurality of neurons; compressing the DNN model into a reconfigured model according to the data set, wherein the reconfigured model includes an input layer, at least one hidden layer and an output layer, and said at least one hidden layer and the output layer of the reconfigured model includes a plurality of neurons, and a size of the reconfigured model is smaller than a size of the DNN model; and executing the reconfigured model on a user terminal for an end-user application.
JIE WU, JUNJIE SU, Bike Xie, Chun-Chen Liu
Filed: 5 Jun 18
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