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20172022
most citedPP-YOLO: An Effective and Efficient Implementation of Object Detector

234 citations · 511 across the 12 of their papers we have counts for

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cs.CV2022

Dressing in the Wild by Watching Dance Videos

Xin Dong, Fuwei Zhao, Zhenyu Xie +6

While significant progress has been made in garment transfer, one of the most applicable directions of human-centric image generation, existing works overlook the in-the-wild image…

cs.CV202193 cited

PP-YOLOv2: A Practical Object Detector

Xin Huang, Xinxin Wang, Wenyu Lv +10

Being effective and efficient is essential to an object detector for practical use. To meet these two concerns, we comprehensively evaluate a collection of existing refinements to…

cs.CV202016 cited

RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning

Peihao Chen, Deng Huang, Dongliang He +5

We study unsupervised video representation learning that seeks to learn both motion and appearance features from unlabeled video only, which can be reused for downstream tasks such…

cs.CV2020234 cited

PP-YOLO: An Effective and Efficient Implementation of Object Detector

Xiang Long, Kaipeng Deng, Guanzhong Wang +8

Object detection is one of the most important areas in computer vision, which plays a key role in various practical scenarios. Due to limitation of hardware, it is often necessary…

cs.CV202012 cited

Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement

Jian Wang, Xiang Long, Yuan Gao +2

Recently, most of the state-of-the-art human pose estimation methods are based on heatmap regression. The final coordinates of keypoints are obtained by decoding heatmap directly.…

cs.CV2019

Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification

Renchun You, Zhiyao Guo, Lei Cui +3

Multi-label image and video classification are fundamental yet challenging tasks in computer vision. The main challenges lie in capturing spatial or temporal dependencies between l…