169 citations · 230 across the 6 of their papers we have counts for
6 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…
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…
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…
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval
Chao Li, Cheng Deng, Lei Wang +2
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. Be…
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval
Chao Li, Cheng Deng, Ning Li +3
Thanks to the success of deep learning, cross-modal retrieval has made significant progress recently. However, there still remains a crucial bottleneck: how to bridge the modality…