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- Ziwei Liu, Ping Luo, Xiaogang Wang, Xiaoou Tang
- IEEE International Conference on Computer Vision…
- 2014
Predicting face attributes in the wild is challenging due to complex face variations. We propose a novel deep learning framework for attribute prediction in the wild. It cascades two CNNs, LNet and… (More)
- Shuo Yang, Ping Luo, Chen Change Loy, Xiaoou Tang
- IEEE Conference on Computer Vision and Pattern…
- 2015
Face detection is one of the most studied topics in the computer vision community. Much of the progresses have been made by the availability of face detection benchmark datasets. We show that there… (More)
- Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang
- IEEE Conference on Computer Vision and Pattern…
- 2016
Recent advances in clothes recognition have been driven by the construction of clothes datasets. Existing datasets are limited in the amount of annotations and are difficult to cope with the various… (More)
- Zhanpeng Zhang, Ping Luo, Chen Change Loy, Xiaoou Tang
- ECCV
- 2014
Facial landmark detection has long been impeded by the problems of occlusion and pose variation. Instead of treating the detection task as a single and independent problem, we investigate the… (More)
- Shuo Yang, Ping Luo, Chen Change Loy, Xiaoou Tang
- IEEE International Conference on Computer Vision…
- 2015
In this paper, we propose a novel deep convolutional network (DCN) that achieves outstanding performance on FDDB, PASCAL Face, and AFW. Specifically, our method achieves a high recall rate of 90.99%… (More)
- Linjie Yang, Ping Luo, Chen Change Loy, Xiaoou Tang
- IEEE Conference on Computer Vision and Pattern…
- 2015
This paper aims to highlight vision related tasks centered around “car”, which has been largely neglected by vision community in comparison to other objects. We show that there are still many… (More)
- Zhanpeng Zhang, Ping Luo, Chen Change Loy, Xiaoou Tang
- IEEE Transactions on Pattern Analysis and Machine…
- 2016
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 information.… (More)
- Yubin Deng, Ping Luo, Chen Change Loy, Xiaoou Tang
- ACM Multimedia
- 2014
The capability of recognizing pedestrian attributes, such as gender and clothing style, at far distance, is of practical interest in far-view surveillance scenarios where face and body close-shots… (More)
- Ziwei Liu, Xiaoxiao Li, Ping Luo, Chen Change Loy, Xiaoou Tang
- IEEE International Conference on Computer Vision…
- 2015
This paper addresses semantic image segmentation by incorporating rich information into Markov Random Field (MRF), including high-order relations and mixture of label contexts. Unlike previous works… (More)
- Yonglong Tian, Ping Luo, Xiaogang Wang, Xiaoou Tang
- IEEE International Conference on Computer Vision…
- 2015
Recent advances in pedestrian detection are attained by transferring the learned features of Convolutional Neural Network (ConvNet) to pedestrians. This ConvNet is typically pre-trained with massive… (More)