Sangil Jung

Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss

Sangil Jung, Changyong Son, Seohyung Lee et al. · 2019 · 40 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +16

Advanced image sensor technology for pixel scaling down toward 1.0µm (Invited)

JungChak Ahn, Chang-Rok Moon, Bumsuk Kim et al. · 2008 · 38 citations

Engineering, Pixel Size, Image Sensor +16

A 1/2.8-inch 24Mpixel CMOS image sensor with 0.9μm unit pixels separated by full-depth deep-trench isolation

Yitae Kim, Won-Chul Choi, Donghyuk Park et al. · 2018 · 27 citations

Engineering, 1/2.8-Inch 24Mpixel, Mixed-signal Integrated Circuit +13

An all pixel PDAF CMOS image sensor with 0.64μmx1.28μm photodiode separated by self-aligned in-pixel deep trench isolation for high AF performance

Sungsoo Choi, Kyungho Lee, Jungbin Yun et al. · 2017 · 23 citations

High Resolution, Engineering, Time-of-flight Camera +11

Joint Training of Low-Precision Neural Network with Quantization Interval Parameters

Sangil Jung, Changyong Son, Seohyung Lee et al. · arXiv (Cornell University) · 2018 · 18 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17