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Wei Liu
Researcher at University of North Carolina at Chapel Hill
Publications - 34
Citations - 80590
Wei Liu is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Object detection & Computer science. The author has an hindex of 18, co-authored 26 publications receiving 58077 citations. Previous affiliations of Wei Liu include Carnegie Mellon University & Nanjing University.
Papers
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Proceedings ArticleDOI
Low-power image recognition challenge
TL;DR: Low-Power Image Recognition Challenge (LPIRC) is the only on-site competition that considers both energy consumption and recognition accuracy and was held as one-day workshops in the Design Automation Conference in 2015 and 2016.
Proceedings ArticleDOI
Extending Semi-supervised Learning Methods for Inductive Transfer Learning
TL;DR: A new transfer learning method is developed, namely COITL, by extending the co-training method in semi-supervised learning by pointing out that many semi- supervised learning methods can be extended for inductive transfer learning, if the step of labeling an unlabeled instance is replaced by re-weighting a diff-distribution instance.
Journal ArticleDOI
Predicting Entry-Level Categories
TL;DR: Results for category mapping and entry-level category prediction for images show promise for producing more natural human-like labels and the potential applicability of the results to the task of image description generation is demonstrated.
Posted Content
OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation
Ziyuan Liu,Wei Liu,Yuzhe Qin,Fanbo Xiang,Songyan Xin,Maximo A. Roa,Berk Calli,Hao Su,Yu Sun,Ping Tan +9 more
TL;DR: A cloud-based benchmark for robotic grasping and manipulation, called the OCRTOC benchmark, which focuses on the object rearrangement problem, specifically table organization tasks and held a competition in the 2020 International Conference on Intelligence Robots and Systems.
Proceedings ArticleDOI
Rebooting Computing and Low-Power Image Recognition Challenge
Yung-Hsiang Lu,Alan M. Kadin,Alexander C. Berg,Thomas M. Conte,Erik P. DeBenedictis,Rachit Garg,Ganesh Gingade,Bichlien Hoang,Yongzhen Huang,Boxun Li,Jingyu Liu,Wei Liu,Huizi Mao,Junran Peng,Tianqi Tang,E.K. Track,Jingqiu Wang,Tao Wang,Yu Wang,Jun Yao +19 more
TL;DR: This paper introduces RC to the design automation community and solicits revolutionary ideas from the community for the directions of future computer research, and explains LPIRC and the solutions from the top two winners.