A novel pixel design with hybrid type isolation scheme for low dark current in CMOS image sensor. - Sung Ho Choi; Yi Tae Kim; Min Seok Oh; Younghwan Park; Jeongjin Cho; Youngheup Jang; Hyungjun Han; Jongwon Choi; Howoo Park; Sangil Jung; Hoon Sang Oh; Jung Chak Ahn; et al. (Sensors, Cameras, and Systems for Industrial and Scientific Applications, 2013)

A 1/2.8-inch 24Mpixel CMOS image sensor with 0.9μm unit pixels separated by full-depth deep-trench isolation. - Yitae Kim; Wonchul Choi; Donghyuk Park; Heegeun Jeoung; Bumsuk Kim; Youngsun Oh; Sunghoon Oh; Byungjun Park; Euiyeol Kim; Yunki Lee; Taesub Jung; Yongwoon Kim; et al. (ISSCC, 2018)

Joint Training of Low-Precision Neural Network with Quantization Interval Parameters. - Sangil Jung; Changyong Son; Seohyung Lee; JinWoo Son; Youngjun Kwak; Jae-Joon Han; Changkyu Choi (CoRR, 2018)

Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss. - Sangil Jung; Changyong Son; Seohyung Lee; JinWoo Son; Jae-Joon Han; Youngjun Kwak; Sung Ju Hwang; Changkyu Choi (CVPR, 2019)

5.6 A 1/2.65in 44Mpixel CMOS Image Sensor with 0.7µm Pixels Fabricated in Advanced Full-Depth Deep-Trench Isolation Technology. - Hyunchul Kim; Jongeun Park; Insung Joe; Doowon Kwon; Joo Hyoung Kim; Dongsuk Cho; Taehun Lee; Changkyu Lee; Haeyong Park; Soojin Hong; Chongkwang Chang; Jingyun Kim; et al. (ISSCC, 2020)

RaScaNet: Learning Tiny Models by Raster-Scanning Images. - Jaehyoung Yoo; Dongwook Lee; Changyong Son; Sangil Jung; ByungIn Yoo; Changkyu Choi; Jae-Joon Han; Bohyung Han (CVPR, 2021)

Object-Centric Multi-Task Learning for Human Instances. - Hyeongseok Son; Sangil Jung; Solae Lee; Seongeun Kim; Seung-In Park; ByungIn Yoo (BMVC, 2023)

A 0.64μm 4-Photodiode 1.28μm 50Mpixel CMOS Image Sensor with 0.98e- Temporal Noise and 20Ke- Full-Well Capacity Employing Quarter-Ring Source-Follower. - Hyuncheol Kim; Yun Hyeok Kim; Sanghyuck Moon; Hwanwoong Kim; Byeongjun Yoo; Jueun Park; Seyoung Kim; June-Mo Koo; Sewon Seo; Hye Ji Shin; Younghwan Choi; Jinwoo Kim; et al. (ISSCC, 2023)

HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction. - Yi Zhou 020; Hui Zhang 093; Jiaqian Yu; Yifan Yang 007; Sangil Jung; Seung-In Park; ByungIn Yoo (CVPR, 2024)

MapDistill: Boosting Efficient Camera-Based HD Map Construction via Camera-LiDAR Fusion Model Distillation. - Xiaoshuai Hao; Ruikai Li; Hui Zhang 093; Dingzhe Li; Rong Yin 001; Sangil Jung; Seung-In Park; ByungIn Yoo; Haimei Zhao; Jing Zhang 037 (ECCV (3), 2024)

Gradtrans: Transformer-Based Gradient Guidance for Image Generation. - Yiwei Chen; Jiaqian Yu; Siyang Pan; Sangil Jung; Wu Bi; Seung-In Park; Qiang Wang 023; ByungIn Yoo (ICIP, 2024)

MBFusion: A New Multi-modal BEV Feature Fusion Method for HD Map Construction. - Xiaoshuai Hao; Hui Zhang 093; Yifan Yang 007; Yi Zhou 020; Sangil Jung; Seung-In Park; ByungIn Yoo (ICRA, 2024)