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Email MyAddress: dengqikang0@gmail.com MyTown : Guangzhou MyCountry : China |
Education
2022-20xx (Studying)
PhD, Computer Engineering; Pusan National University (Busan, Korea)
Paper: A 5K Efficient Low-Light Enhancement Model by Estimating Increment between Dark Image and Transmission Map Based on Local Maximum Color Value Prior link
Patent: 연산량이 감소된 저조도 및 안개 이미지 개선 방법 및 이를 수행하는 전자 장치 / 출원번호: 10-2024-0009909
Paper: DFF: Distributed Forward-Forward Algorithm for Large-Scale Model in Low-Performance Devices link
Paper: AGCNET Enhancement High-contrast Images with Automatic gamma correction (MITA2023: The 19th International Conference on Multimedia Information Technology and Applications)
Paper: Real-Time Human Face detection based on Illumination Adaptive Transformer Image Enhancement (35th Workshop on Image Processing and Image Understanding)link
Paper: Lite weight Semantic Segmentation Model for Self-Driving base on Improved YOLOv5 and DBNet++ link
Paper: Chinese named entity recognition based on ERNIE-IDCNN-CRF link
Paper: A study on improvement of small object recognition rate according to object size distribution link
Project: [Image Enhancement]악조건 하의 CCTV 영상 객체 및 이상 탐지 기술 개발(Development of CCTV Image Object and Abnormal Detection Technology under Bad Conditions)
Project: [Information Detection]대용량 영상 내 음성과 이미지 정보(텍스트,사물,로고) 인덱싱을 통한 고속 검색 기술 개발(Development of high-speed search technology with indexing of voice and image information (text, object, and logo) in large video data)
Project: [UAVs Image Detection]아산시 하천부지 점유현황 데이터link
2020-2021
MS, Computer Engineering; Pusan National University (Busan, Korea)
- Paper: Prediction of attrition rate of coal ash for fluidized bed based on chemical composition with an artificial neural network model link
- Paper: Assessment of Segmentation Impact on Melanoma ClassificationUsing Convolutional Neural Networks link
- Paper: Non-Contact Heart Rate Monitoring from Face Video Utilizing Color Intensity link
2018-2019
Language Student; University of Ulsan (Ulsan, Korea)
2013-2017
BSc, Network Engineering; South China Normal University (Guangzhou, China)
- Thesis title: Design and implementation of mobile dual channel video monitoring system based on Raspberry Pi
Experience
VBLab, Department of Information and Computer Engineering, Pusan National University (Busan, Korea)
AI Developer
- Enhancement of CCTV images under adverse conditions(InBic Co.)
- Object Detection and Semantic segmentation of Illegal Objects along the riverbed(Asan)
- Yotube Video Information(Object, Logo, Text, Scene) Extraction Project(DATAEDU Co.)
Guangzhou Anyan Information Technology Co., Ltd
Data engineer, Web developer and Full stack developer:
Project 1: Huizhou Telecom OBD port identification system
Project 2: Guangzhou Zhongshan Third Hospital Blood cell identification system
Partner: Shanghai Jiaotong University School of Electronic Information and Electrical Engineering
Technical Experience
Programming Languages
first-lang: Python
second-lang: GO, C/C++
obscure-but-impressive-lang: Javascript
Basic knowledge of Deep learning, Linux, Raspberry Pi, Nodejs, AI, Web development
Others
Languages:
- Chinese (native speaker)
- English
- Korean
welcome to contact me!