Daegu Gyeongbuk Institute of Science and Technology

Marquette University

Sang Hyun Park

Philip Chikontwe

Dong Kyu Won

Dong Hye Ye

Provided is a subminiature wavelength tunable liquid crystal etalon filter capable of minimizing damage during manufacturing, a light source and an optical transceiver including the same. According to one aspect of the present embodiment, a wavelength tunable liquid crystal etalon filter capable of minimizing damage that may be applied to a seal line during a curing process and a light source and an optical transceiver including the same are provided.

Wavelength-tunable liquid crystal etalon filter, light source and optical transceiver including the same

An image processing method of the present disclosure may include receiving a scanned image, and processing the received image through an octave convolution-based neural network to output a high-quality image and an edge image for the received image. The octave convolution-based neural network may include a plurality of octave encoder blocks and a plurality of octave decoder blocks. Each octave encoder block may include an octave convolutional layer, and may be configured to output a high-frequency feature map and a low-frequency feature map for the image.

Method and apparatus for processing image

A multiple instance learning device for analyzing 3D images, comprises a memory in which a multiple instance learning model is stored and at least one processor electrically connected to the memory, wherein the multiple instance learning model comprises a convolution block configured to derive a feature map for each of 2D instances of a 3D image inputted to the multiple instance learning model, a spatial attention block configured to derive spatial attention maps of the instances from the feature maps derived from the convolution block, an instance attention block configured to receive a result of combining the feature maps and the spatial attention maps and derive an attention score for each instance, and derive an aggregated embedding for the 3D image by aggregating embeddings of the instances according to the attention scores.

Growing community of inventors

Daegu, South Korea

Sang Hyun Park