169 citations · 197 across the 9 of their papers we have counts for
9 papers
Shared Predictive Cross-Modal Deep Quantization
Erkun Yang, Cheng Deng, Chao Li +3
With explosive growth of data volume and ever-increasing diversity of data modalities, cross-modal similarity search, which conducts nearest neighbor search across different modali…
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification
Cheng Deng, Xianglong Liu, Chao Li +1
Recent years have witnessed the quick progress of the hyperspectral images (HSI) classification. Most of existing studies either heavily rely on the expensive label information usi…
Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics
Cheng Deng, Zhao Li, Xinbo Gao +1
As JPEG is the most widely used image format, the importance of tampering detection for JPEG images in blind forensics is self-evident. In this area, extracting effective statistic…
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification
Cheng Deng, Yumeng Xue, Xianglong Liu +2
Deep learning has recently attracted significant attention in the field of hyperspectral images (HSIs) classification. However, the construction of an efficient deep neural network…
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval
Cheng Deng, Zhaojia Chen, Xianglong Liu +2
Given the benefits of its low storage requirements and high retrieval efficiency, hashing has recently received increasing attention. In particular,cross-modal hashing has been wid…
Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification
De Xie, Cheng Deng, Hao Wang +2
Two-stream architecture have shown strong performance in video classification task. The key idea is to learn spatio-temporal features by fusing convolutional networks spatially and…