10 citations · 19 across the 5 of their papers we have counts for
7 papers
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation
Jianzhun Shao, Yuhang Jiang, Gu Wang +2
6D pose estimation from a single RGB image is a challenging and vital task in computer vision. The current mainstream deep model methods resort to 2D images annotated with real-wor…
Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations
Zhigang Li, Yinlin Hu, Mathieu Salzmann +1
While much progress has been made in 6-DoF object pose estimation from a single RGB image, the current leading approaches heavily rely on real-annotation data. As such, they remain…
Optimizing AD Pruning of Sponsored Search with Reinforcement Learning
Yijiang Lian, Zhijie Chen, Xin Pei +10
Industrial sponsored search system (SSS) can be logically divided into three modules: keywords matching, ad retrieving, and ranking. During ad retrieving, the ad candidates grow ex…
Contention-based Grant-free Transmission with Independent Multi-pilot Scheme
Zhifeng Yuan, Weimin Li, Zhigang Li +2
Contention-based grant-free transmission is very promising for future massive machine-type communication (mMTC). In contention-based transmission, the random pilot collision is a c…
Generalized Fault-Tolerance Topology Generation for Application Specific Network-on-Chips
Song Chen, Mengke Ge, Zhigang Li +3
The Network-on-Chips is a promising candidate for addressing communication bottlenecks in many-core processors and neural network processors. In this work, we consider the generali…
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
Yijiang Lian, Zhijie Chen, Jinlong Hu +11
In this paper, we present a generative retrieval method for sponsored search engine, which uses neural machine translation (NMT) to generate keywords directly from query. This meth…