Welcome to the Visual AI Laboratory at Gachon University. Our lab mainly focuses on cutting-edge computer vision and machine learning technology for visual understanding and scene analysis using images and videos, which can be applied to CCTV, cameras, and mobile devices including robots. We are looking for highly self-motivated M.S., Ph.D. students, and Postdocs. If you are interested in computer vision, machine learning, and deep learning research, please contact me (thinkai (at) gachon.ac.kr). 

• 가천대학교 조정찬 교수님의 Visual AI 연구실에서는  컴퓨터비전, 패턴인식, 그리고 최근 각광받고 있는 Deep Learning 과 함께 다양한 분야를 연구하고 있습니다.

• 우리 연구실에서는  대학원생(열정있는박사, 석/박사 통합과정, 박사후 과정)을 모집하고 있습니다.  

  • 학부 학생(학부 연구생)의 경우 AI를 위한 기본 공부가 되어있고, 연구에 대한 열정이 많으며, 적성이 우수한 학생을 제한적으로 선발하여 연구 지도를 합니다. 

• 궁금한 점이 있으시면 조정찬 교수님 메일 주소(thinkai (at) gachon.ac.kr)로 연락 주시기 바랍니다.

• Getting Started with your Project

• AI 이미지 인식, 초보자 위한 5가지 인기있는 오픈 소스 데이터 셋 

• PR12 딥러닝 논문읽기 모임 (논문 세미나 동영상):  

  • Season 1 , Season 2, Season 3, Season 4, Season 5

• One paper is accepted to Scientific Reports .

  • Title: Shallow and Reverse Attention Network for Colon Polyp Segmentation

• One paper is accepted to the Medical Image Computing and Computer Assisted Intervention Society (MICCAI). [Top-tier conference]

  • Title: Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image 

• One paper is accepted to the AAAI Conference on Artificial Intelligence (AAAI 2022). [Top-tier conference]

  • Title: Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucination 

• One paper is accepted to the Advanced Video and Signal-based Surveillance (AVSS 2021).

  • Title: The Dataset and Baseline Models to Detect Human Postural States Robustly against Irregular Postures 

• One paper is published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. SCI, IF: 17.861-Top 0.37%

  • Title: Reconstruct as Far as You Can: Consensus of Non-Rigid Reconstruction from Feasible Regions

• One paper is accepted to IEEE ACCESS, 2020. SCIE, IF: 4.098-Top 14.52%

  • Title: Spatially Variant Convolutional Autoencoder Based on Patch Division for Pill Defect Detection

• One paper is accepted to Sensors, 2020. SCIE, IF: 3.301-Top 23.77 %

  • Title: Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition using a Three-Dimensional Convolutional Neural Network 

• Project: 컨택스트 기반 사람 상태 이해 연구 

  • (2020. 04. 15. ~ 2020. 11. 15.) funded by ETRI (한국전자통신연구원)

    • Related Papers

      • https://www.youtube.com/watch?v=j1DSo_dxANk 

      • https://research.fb.com/publications/detecting-and-recognizing-human-object-interactions/ 

• One paper is accepted  to IEEE ACCESS, 2020. SCIE, IF: 4.098-Top 14.52%

  • Title: Robust Human Pose Estimation for Rotation via Self-Supervised Learning

• One paper is accepted  to Sensors, 2019.  SCIE, IF: 3.301-Top 23.77 %

  • Title: Building a Compact Convolutional Neural Network for Embedded Intelligent Sensor Systems Using Group Sparsity and Knowledge Distillation

• One paper is accepted  to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. SCI, IF: 17.730-Top 0.19%

  • Title: Reconstruct as Far as You Can: Consensus of Non-Rigid Reconstruction from Feasible Regions

• One paper is accepted to Computer Vision and Image Understanding (CVIU), 2019. SCI, IF: 2.645

  • Title: Deep Pose Consensus Networks

• Project:  미술품 가격지수 분석을 위한 자기 지도 학습 기반 미술작품 동일성 판단 알고리즘 개발

  • (2019. 06. 01. ~ 2022. 02. 28.) funded by NRF (한국연구재단 )

    • 참고 기사: '미술품 가격지수' 개발 다시 꿈틀 

    • Sotheby's acquires Thread Genius to build its image recognition and recommendation tech 

• Project: 딥러닝 기반 사람의 세부 상태 이해 연구 

  • (2019. 05. 15. ~ 2019. 11. 15.) funded by ETRI (한국전자통신연구원)

    • ETRI 선행 과제 결과: AI 시각지능 ‘딥뷰’(Deep View) 쓰레기 투기 단속한다  

    • Interesting Articles

      • https://www.youtube.com/watch?v=pW6nZXeWlGM 

      • https://www.youtube.com/watch?v=PCBTZh41Ris 

• Visual AI Lab was founded at Gachon University in 2019

Research Interests

• • Statistical Machine Learning: Sparse and Low-Rank Modeling

  • Deep Learning: Model Compression, Neural Architecture Search, Multi-Task Learning, Lifelong Learning, Human Pose Estimation

  • Vision-based Applications: Computer Vision, Mobile Vision, Robot Vision

• • What is Deep learning? 

    • I don't know a Matrix?!  

    • What??? Gradient Descent  :-(  

    • What's the difference between gradient descent and stochastic gradient descent? 

  • If you are busy, take a look at this. 

  • How about watching these interesting videos? 

    • https://www.youtube.com/watch?v=pW6nZXeWlGM 

    • https://www.youtube.com/watch?v=PCBTZh41Ris 

  • If you want to study this with me, please contact me.

  • Useful links

    • PR12 딥러닝 논문읽기 모임: 

      • Season 1 

      • Season 2

      • Season 3

    • Naver Tech Talk: https://d2.naver.com/news/0956269 

Let's get started

• • PyTorchZeroToAll (in English)

    • Lecture: https://www.youtube.com/playlist?list=PLlMkM4tgfjnJ3I-dbhO9JTw7gNty6o_2m

    • Code: https://github.com/hunkim/PyTorchZeroToAll

  • Pytorch-Utils

    • Tensorboard: https://www.youtube.com/watch?v=VJW9wU-1n18&list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4&index=16

    • Save and load models: https://www.youtube.com/watch?v=9L9jEOwRrCg&list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4&index=17

  • PyTorch

    • https://pytorch.org/ 

    • https://www.youtube.com/watch?v=l-Fe9Ekxxj4 

  • Tensorflow

    • https://www.tensorflow.org/ 

    • https://www.youtube.com/watch?v=vq2nnJ4g6N0