Search Results for author: Jing Ge

Found 3 papers, 2 papers with code

Deep learning on rail profiles matching

1 code implementation18 May 2022 Kunqi Wang, Daolin Si, Pu Wang, Jing Ge, Peiyuan Ni, Shuguo Wang

Matching the rail cross-section profiles measured on site with the designed profile is a must to evaluate the wear of the rail, which is very important for track maintenance and rail safety.

Deep Learning

Visual-Textual Association with Hardest and Semi-Hard Negative Pairs Mining for Person Search

no code implementations6 Dec 2019 Jing Ge, Guangyu Gao, Zhen Liu

In order to evaluate the effectiveness and feasibility of the proposed approach, we conduct extensive experiments on typical person search datasdet: CUHK-PEDES, in which our approach achieves the top1 score of 55. 32% as a new state-of-the-art.

Person Search

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