538 citations · 1.6k across the 57 of their papers we have counts for
6 papers · 1 filter
Binary Generative Adversarial Networks for Image Retrieval
Jingkuan Song
The most striking successes in image retrieval using deep hashing have mostly involved discriminative models, which require labels. In this paper, we use binary generative adversar…
From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video Captioning
Jingkuan Song, Yuyu Guo, Lianli Gao +3
Video captioning in essential is a complex natural process, which is affected by various uncertainties stemming from video content, subjective judgment, etc. In this paper we build…
Learning in High-Dimensional Multimedia Data: The State of the Art
Lianli Gao, Jingkuan Song, Xingyi Liu +3
During the last decade, the deluge of multimedia data has impacted a wide range of research areas, including multimedia retrieval, 3D tracking, database management, data mining, ma…
Deep Discrete Hashing with Self-supervised Pairwise Labels
Jingkuan Song, Tao He, Hangbo Fan +1
Hashing methods have been widely used for applications of large-scale image retrieval and classification. Non-deep hashing methods using handcrafted features have been significantl…
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning
Jingkuan Song, Zhao Guo, Lianli Gao +3
Recent progress has been made in using attention based encoder-decoder framework for video captioning. However, most existing decoders apply the attention mechanism to every genera…
Deep Region Hashing for Efficient Large-scale Instance Search from Images
Jingkuan Song, Tao He, Lianli Gao +2
Instance Search (INS) is a fundamental problem for many applications, while it is more challenging comparing to traditional image search since the relevancy is defined at the insta…