The Multimedia Institute (M2I) in the department of Electronic Information Engineering, Tianjin University, is formerly known as the Institute of Television and Image Information approved by the Ministry of Education of the People’s Republic of China. M2I is dedicated to research of multimedia content understanding, retrieval, security and communication.
Our research interests widely cover the related problems in computer vision, machine learning, signal processing and information retrieval and particularly focus in the following areas：
1. Computer Vision And Machine Learning
2. Biomedical Image Analysis
3. Multimedia Understanding And Retrieval
4. Media Security And Forensics
Dr. LIU An-An will serve as the co-chair of the workshop on Computer Vision for Microscopy Image Analysis, which is in conjunction with CVPR 2016 conference.
Our lab organized the view-based 3D model retrieval competition in the SHREC workshop of Eurographics 2016. [Project]
One paper, "3D Convolutional Networks-Based Mitotic Event Detection in Time-Lapse Phase Contrast Microscopy Image Sequences of Stem Cell Populations", was accepted by CVPR 2016 workshop. This paper proposed a straightforward and effective method for mitotic event detection in time-lapse pahase contrast microscopy image sequences of stem cell populations.
Deep learning on TJU painting. [Project]
Two master students begin the internship in SeSaMe of NUS from 09/2015 to 09/2016.
One paper, "Clique-graph Matching by Preserving Global & Local Structure", was accepted by CVPR2015. Liu An-An and Nie Wei-Zhi attended the conference. [Project]
Our lab organized the view-based 3D model retrieval competition in the SHREC workshop of Eurographics 2015. 6 participants submitted 13 runs. The comparions demonstrated that MV-RED is a challenging benchmarf for the evaluation of 3D model retrieval. [Project]