3.2k citations · 12.3k across the 227 of their papers we have counts for
5 papers · 1 filter
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
Wanli Ouyang, Xiaogang Wang, Xingyu Zeng +8
In this paper, we propose deformable deep convolutional neural networks for generic object detection. This new deep learning object detection framework has innovations in multiple…
Crowd Saliency Detection via Global Similarity Structure
Mei Kuan Lim, Ven Jyn Kok, Chen Change Loy +1
It is common for CCTV operators to overlook inter- esting events taking place within the crowd due to large number of people in the crowded scene (i.e. marathon, rally). Thus, ther…
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection
Wanli Ouyang, Ping Luo, Xingyu Zeng +12
In this paper, we propose multi-stage and deformable deep convolutional neural networks for object detection. This new deep learning object detection diagram has innovations in mul…
Transferring Landmark Annotations for Cross-Dataset Face Alignment
Shizhan Zhu, Cheng Li, Chen Change Loy +1
Dataset bias is a well known problem in object recognition domain. This issue, nonetheless, is rarely explored in face alignment research. In this study, we show that dataset plays…
Learning Deep Representation for Face Alignment with Auxiliary Attributes
Zhanpeng Zhang, Ping Luo, Chen Change Loy +1
In this study, we show that landmark detection or face alignment task is not a single and independent problem. Instead, its robustness can be greatly improved with auxiliary inform…