1 code implementation • NeurIPS 2019 • Chao Li, Shangqian Gao, Cheng Deng, De Xie, Wei Liu
Extensive experiments on two cross-modal benchmark datasets show that the adversarial examples produced by our CMLA are efficient in fooling a target deep cross-modal hashing network.
no code implementations • 6 Mar 2019 • De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao
Two-stream architecture have shown strong performance in video classification task.
no code implementations • 6 Mar 2019 • Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu
In recent years, hashing has attracted more and more attention owing to its superior capacity of low storage cost and high query efficiency in large-scale cross-modal retrieval.
no code implementations • 17 Feb 2019 • De Xie, Muli Yang, Cheng Deng, Wei Liu, DaCheng Tao
Image attribute transfer aims to change an input image to a target one with expected attributes, which has received significant attention in recent years.