Search Results for author: Boxun Li

Found 8 papers, 2 papers with code

Learning Context-Aware Embedding for Person Search

no code implementations29 Nov 2021 Shihui Chen, Yueqing Zhuang, Boxun Li

Person Search is a relevant task that aims to jointly solve Person Detection and Person Re-identification(re-ID).

Human Detection Person Re-Identification +1

Efficient DETR: Improving End-to-End Object Detector with Dense Prior

no code implementations3 Apr 2021 Zhuyu Yao, Jiangbo Ai, Boxun Li, Chi Zhang

By taking advantage of both dense detection and sparse set detection, Efficient DETR leverages dense prior to initialize the object containers and brings the gap of the 1-decoder structure and 6-decoder structure.

Object Detection

CrowdHuman: A Benchmark for Detecting Human in a Crowd

1 code implementation30 Apr 2018 Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, Jian Sun

There are a total of $470K$ human instances from the train and validation subsets, and $~22. 6$ persons per image, with various kinds of occlusions in the dataset.

Ranked #5 on Pedestrian Detection on Caltech (using extra training data)

Human Detection Object Detection +1

SFace: An Efficient Network for Face Detection in Large Scale Variations

no code implementations18 Apr 2018 Jianfeng Wang, Ye Yuan, Boxun Li, Gang Yu, Sun Jian

A new dataset called 4K-Face is also introduced to evaluate the performance of face detection with extreme large scale variations.

Face Detection Face Recognition

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