Wang Zhiling (王致岭)

Currently, I am a algorithm engineer in Meituan Vision AI Department, Beijing, China.

I received the B.E. degree from the School of Geodesy and Geomatics, Wuhan University , Wuhan, China, in 2019. Then I received the Master degree in computer science from VIPL Group, Chinese Academy of Sciences University, Beijing, China, in 2022. I was in the food computing group,and my supervisors are Weiqing Min and Shuqiang Jiang .

Research Interests

  • Fine-Grained Image Recognition and Retrieval
  • Multi-label Image Recognition
  • Image Detection and Computer Vision

Publications


Large Scale Visual Food Recognition [Paper] [Dataset]
Weiqing Min, Zhiling Wang, Yuxin Liu, Mengjiang Luo, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang

IEEE Transactions on Pattern Analysis and Machine Intelligence (CCF-A 2023)



Ingredient-Guided Region Discovery and Relationship Modeling for Food Category-Ingredient Prediction [Paper]
Zhiling Wang, Weiqing Min, Zhuo Li, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang

IEEE Transactions on Image Processing (CCF-A 2022)



Vision-based fruit recognition via multi-scale attention CNN [Paper] [Code]
Weiqing Min, Zhiling Wang, Jiahao Yang, Chunlin Liu , Shuqiang Jiang

Computers and Electronics in Agriculture (SCI-I 2023)



Ingredient Prediction via Context Learning Network with Class-Adaptive Asymmetric Loss [Paper] [Code]
Mengjiang Luo,Weiqing Min, Zhiling Wang, Jiajun Song, Shuqiang Jiang

IEEE Transactions on Image Processing (CCF-A 2023)



ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network [Paper]
Weiqing Min, Linhu Liu, Zhiling Wang, Zhengdong Luo, Xiaoming Wei, Xiaolin Wei and Shuqiang Jiang

ACM MM 2020 (CCF-A)



Competitions


Our team (Shuhao Cui, Zhiling Wang, Ling Kang, Junshi Huang, Xiaoming Wei) won the 1st place at the Herbarium Challenge 2022 in the 9th Workshop on Fine-Grained Visual Categorization [Leaderboard]


CVPR 2022 FGVC9 Workshop



Our team held the workshop "LargeFineFoodAI: Large-Scale Fine-Grained Food AnalysIs" [Website]

ICCV 2021 Workshops