102 citations · 174 across the 5 of their papers we have counts for
5 papers
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search
Cheng Ma, Jiwen Lu, Jie Zhou
As hashing becomes an increasingly appealing technique for large-scale image retrieval, multi-label hashing is also attracting more attention for the ability to exploit multi-level…
Structure-Preserving Super Resolution with Gradient Guidance
Cheng Ma, Yongming Rao, Yean Cheng +3
Structures matter in single image super resolution (SISR). Recent studies benefiting from generative adversarial network (GAN) have promoted the development of SISR by recovering p…
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation
Cheng Ma, Zhenyu Jiang, Yongming Rao +2
Recent works based on deep learning and facial priors have succeeded in super-resolving severely degraded facial images. However, the prior knowledge is not fully exploited in exis…
Transfer Learning in General Lensless Imaging through Scattering Media
Yukuan Yang, Lei Deng, Peng Jiao +4
Recently deep neural networks (DNNs) have been successfully introduced to the field of lensless imaging through scattering media. By solving an inverse problem in computational ima…
Multi-Context Attention for Human Pose Estimation
Xiao Chu, Wei Yang, Wanli Ouyang +3
In this paper, we propose to incorporate convolutional neural networks with a multi-context attention mechanism into an end-to-end framework for human pose estimation. We adopt sta…