Jiang-Jiang Liu (刘姜江)

Jiang-Jiang Liu (j04.liu AT gmail DOT com) received his Ph.D. degree at Media Computing Lab of Nankai University, under Prof. Ming-Ming Cheng’s supervision. He received his B.Sc. degree at Nankai University. His research interests include deep learning and its applications in computer vision.

Interests

  • Deep Learning
  • Computer Vision
  • Multi-Task Learning

Education

  • Ph.D. in Computer Science, 2017 -- 2022

    Nankai University

  • B.Sc. in Electronic Information Science and Technology, 2013 -- 2017

    Nankai University

Publications

(2022). ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement. ECCV 2022.

Code

(2022). PoolNet+: Exploring the Potential of Pooling for Salient Object Detection. TPAMI 2022.

PDF Code Project

(2021). Rethinking the U-Shape Structure for Salient Object Detection. TIP 2021.

PDF Code

(2021). Autonomous Learning of Semantic Segmentation from Internet Images. SCIENTIA SINICA Informationis.

PDF

(2020). Improving Convolutional Networks with Self-Calibrated Convolutions. CVPR 2020.

PDF Code Project

(2019). EGNet: Edge guidance network for salient object detection. ICCV 2019.

PDF Code Project

(2019). A Simple Pooling-Based Design for Real-Time Salient Object Detection. CVPR 2019.

PDF Code Project

(2018). Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground. ECCV 2018.

PDF Project

Experience

 
 
 
 
 

R&D Intern

Tencent YouTu Lab

Jun 2021 – May 2022 Shanghai, China
Developing algorithms for image matching and GNN.
 
 
 
 
 

R&D Intern

ByteDance AI Lab

Nov 2018 – Apr 2019 Beijing, China
Developing algorithms for image classification.

Contact