1.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Vi Technology (United States)US14 papers
- Tsinghua UniversityCN12 papers
- Peking UniversityCN10 papers
- University of Electronic Science and Technology of ChinaCN10 papers
- Chinese Academy of SciencesCN9 papers
- Huazhong University of Science and TechnologyCN8 papers
- Hong Kong University of Science and TechnologyHK7 papers
- Tongji UniversityCN5 papers
- University of Science and Technology of ChinaCN5 papers
- Chinese University of Hong KongHK4 papers
- Institute of AutomationCN4 papers
- Tencent (China)CN4 papers
7 papers · 1 filter
Repulsion Loss: Detecting Pedestrians in a Crowd
Xinlong Wang, Tete Xiao, Yuning Jiang +3
Detecting individual pedestrians in a crowd remains a challenging problem since the pedestrians often gather together and occlude each other in real-world scenarios. In this paper,…
Cascaded Pyramid Network for Multi-Person Pose Estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng +3
The topic of multi-person pose estimation has been largely improved recently, especially with the development of convolutional neural network. However, there still exist a lot of c…
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin +1
We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.g., 10-150 MF…
What Can Help Pedestrian Detection?
Jiayuan Mao, Tete Xiao, Yuning Jiang +1
Aggregating extra features has been considered as an effective approach to boost traditional pedestrian detection methods. However, there is still a lack of studies on whether and…
Detail-revealing Deep Video Super-resolution
Xin Tao, Hongyun Gao, Renjie Liao +2
Previous CNN-based video super-resolution approaches need to align multiple frames to the reference. In this paper, we show that proper frame alignment and motion compensation is c…
EAST: An Efficient and Accurate Scene Text Detector
Xinyu Zhou, Cong Yao, He Wen +4
Previous approaches for scene text detection have already achieved promising performances across various benchmarks. However, they usually fall short when dealing with challenging…
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai, Xiaodong He, Jian Sun +1
The problem of quantizing the activations of a deep neural network is considered. An examination of the popular binary quantization approach shows that this consists of approximati…