Di Lin   林迪

Assistant Professor

Rm 821
College of Computer Science and Software Engineering
Shenzhen University
Shenzhen, China

Email:

Biography

I received my Ph.D. degree at the Chinese University of Hong Kong, affiliated with Computer Science and Engineering Department. My thesis supervisor is Prof. Jiaya Jia. Before that, I received the B.Eng. degree in software engineering from Sun Yat-Sen University, China. Now I serve as an assistant professor with the VCC group at Shenzhen Univeristy affiliated with the College of Computer Science and Software Engineerin. My CV is here.

My research topics include computer vision and machine learning.

Publications (Google Scholar)

Conference Publications

         
Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun, "ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (Oral Presentation).

[paper][project]

Di Lin, Xiaoyong Shen, Cewu Lu, Jiaya Jia, "Deep LAC: Deep Localization, Alignment and Classification for Fine-grained Recognition", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

[paper]

Di Lin, Cewu Lu, Renjie Liao, Jiaya Jia, "Learning Important Spatial Pooling Regions for Scene Classification", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.

[paper]

Cewu Lu, Di Lin, Jiaya Jia, Chi-Keung Tang, "Two-Class Weather Classification", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.

[paper][project]

Journal Publications

   
Di Lin, Cewu Lu, Hui Huang, Jiaya Jia, "RSCM: Region Selection and Concurrency Model for Multi-class Weather Recognition", IEEE Transactions on Image Processing (TIP), 2017 (Minor Revision).

Cewu Lu, Di Lin, Jiaya Jia, Chi-Keung Tang, "Two-Class Weather Classification", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016 (Accepted), (Corresponding Author).

Professional Activities

Conference Reviews: ECCV, ICCV
Journal Reviews: TIP

© Di Lin