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20212023
most citedVision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation

7 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

Single Image Reflection Separation via Component Synergy

Qiming Hu, Xiaojie Guo

The reflection superposition phenomenon is complex and widely distributed in the real world, which derives various simplified linear and nonlinear formulations of the problem. In t…

cs.SE2023

Automated Code generation for Information Technology Tasks in YAML through Large Language Models

Saurabh Pujar, Luca Buratti, Xiaojie Guo +8

The recent improvement in code generation capabilities due to the use of large language models has mainly benefited general purpose programming languages. Domain specific languages…

cs.CV2023

Adaptive Texture Filtering for Single-Domain Generalized Segmentation

Xinhui Li, Mingjia Li, Yaxing Wang +2

Domain generalization in semantic segmentation aims to alleviate the performance degradation on unseen domains through learning domain-invariant features. Existing methods diversif…

cs.LG2023

Pruning Before Training May Improve Generalization, Provably

Hongru Yang, Yingbin Liang, Xiaojie Guo +2

It has been observed in practice that applying pruning-at-initialization methods to neural networks and training the sparsified networks can not only retain the testing performance…

cs.CV20227 cited

Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation

Zhi Liu, Shaoyu Chen, Xiaojie Guo +6

In this work, we propose PolarBEV for vision-based uneven BEV representation learning. To adapt to the foreshortening effect of camera imaging, we rasterize the BEV space both angu…

cs.IR2021

Intelligent Online Selling Point Extraction for E-Commerce Recommendation

Xiaojie Guo, Shugen Wang, Hanqing Zhao +8

In the past decade, automatic product description generation for e-commerce have witnessed significant advancement. As the services provided by e-commerce platforms become diverse,…