Lab directory
Deep Challenge Lab
Deep Challenge Lab
Chungnam National University · Computer Science and Engineering
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Professor
Prof. 장경선
Professor's page · publicationsAbout
딥 챌린지 연구실은 영상처리와 컴퓨터비전, 심층 정보처리(Deep Information Processing)를 연구한다. 딥러닝 기반의 영상 및 정보 처리 기술을 다룬다.
Research keywords
인공지능컴퓨터비전
Selected publications
- A Hybrid Architecture for Efficient Saliency Detection and Power-Constrained Image Enhancement Based on SE-ResNeXtIEEE Access · 2026
- Linear-Argmax Layer: A Robust and Effective Keypoint Localization Layer With Heatmap Induction CharacteristicsIEEE Access · 2025
- SESAME: Selective Enhancement of Soft-argmax Estimation for Challenging Facial Landmark Detection via Adaptive Masking-Based Representation LearningJournal of Computing Science and Engineering · 2025
- Enhancing keypoint detection in Y-Maze behavior test automation: introducing stadium heatmap and squared adaptive wing lossMultimedia Tools and Applications · 2025
- Microplastic Binary Segmentation with Resolution Fusion and Large Convolution KernelsJournal of Computing Science and Engineering · 2024
- Neural Network Analysis for Microplastic SegmentationSensors · 2021
Other labs in this department
- Computer Vision Lab
Koh Yeong Jun
컴퓨터비전, 영상처리, 머신러닝
- Generative Intelligence Lab
Kwon Jingun
자연어처리, 생성학습
- Deep Learning and Scientific Computing Lab
Kyungsup Kim
기계학습, 응용과학계산
- Mobile and Intelligent Network Lab
Ki Il Kim
이동네트워크, IoT
- Data Optimization Lab
SangMook Kim
머신러닝, 데이터 사이언스, 의료 AI
- Smart Data Lab
Kim, Young-Kuk
딥러닝·데이터 마이닝 (추천 시스템, 스마트 데이터/스마트홈 데이터 분석)