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20172023
most citedFeature Agglomeration Networks for Single Stage Face Detection

25 citations · 69 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022★ 1 cited

End-to-end Weakly-supervised Single-stage Multiple 3D Hand Mesh Reconstruction from a Single RGB Image

Jinwei Ren, Jianke Zhu, Jialiang Zhang

In this paper, we consider the challenging task of simultaneously locating and recovering multiple hands from a single 2D image. Previous studies either focus on single hand recons…

cs.CV2021★ 12 cited

Weakly-Supervised Multi-Face 3D Reconstruction

Jialiang Zhang, Lixiang Lin, Jianke Zhu +1

3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identif…

cs.CV2020★ 20 cited

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Pengxu Wei, Hannan Lu, Radu Timofte +68

This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…

cs.CV2019★ 5 cited

Attribute-aware Pedestrian Detection in a Crowd

Jialiang Zhang, Lixiang Lin, Yang Li +4

Pedestrian detection is an initial step to perform outdoor scene analysis, which plays an essential role in many real-world applications. Although having enjoyed the merits of deep…

cs.CV2017★ 25 cited

Feature Agglomeration Networks for Single Stage Face Detection

Jialiang Zhang, Xiongwei Wu, Jianke Zhu +1

Recent years have witnessed promising results of face detection using deep learning. Despite making remarkable progresses, face detection in the wild remains an open research chall…