401 citations · 1.3k across the 36 of their papers we have counts for
7 papers · 1 filter
Text-to-image Synthesis via Symmetrical Distillation Networks
Mingkuan Yuan, Yuxin Peng
Text-to-image synthesis aims to automatically generate images according to text descriptions given by users, which is a highly challenging task. The main issues of text-to-image sy…
Visual Data Synthesis via GAN for Zero-Shot Video Classification
Chenrui Zhang, Yuxin Peng
Zero-Shot Learning (ZSL) in video classification is a promising research direction, which aims to tackle the challenge from explosive growth of video categories. Most existing meth…
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification
Chenrui Zhang, Yuxin Peng
Video representation learning is a vital problem for classification task. Recently, a promising unsupervised paradigm termed self-supervised learning has emerged, which explores in…
Cross-media Multi-level Alignment with Relation Attention Network
Jinwei Qi, Yuxin Peng, Yuxin Yuan
With the rapid growth of multimedia data, such as image and text, it is a highly challenging problem to effectively correlate and retrieve the data of different media types. Natura…
Deep Cross-media Knowledge Transfer
Xin Huang, Yuxin Peng
Cross-media retrieval is a research hotspot in multimedia area, which aims to perform retrieval across different media types such as image and text. The performance of existing met…
SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network
Jian Zhang, Yuxin Peng, Mingkuan Yuan
Cross-modal hashing aims to map heterogeneous multimedia data into a common Hamming space, which can realize fast and flexible retrieval across different modalities. Supervised cro…
Deep Reinforcement Learning for Image Hashing
Yuxin Peng, Jian Zhang, Zhaoda Ye
Deep hashing methods have received much attention recently, which achieve promising results by taking advantage of the strong representation power of deep networks. However, most e…