251 citations · 1k across the 82 of their papers we have counts for
6 papers · 1 filter
Exploring Visual Relationship for Image Captioning
Ting Yao, Yingwei Pan, Yehao Li +1
It is always well believed that modeling relationships between objects would be helpful for representing and eventually describing an image. Nevertheless, there has not been eviden…
Fully Convolutional Adaptation Networks for Semantic Segmentation
Yiheng Zhang, Zhaofan Qiu, Ting Yao +2
The recent advances in deep neural networks have convincingly demonstrated high capability in learning vision models on large datasets. Nevertheless, collecting expert labeled data…
Memory Matching Networks for One-Shot Image Recognition
Qi Cai, Yingwei Pan, Ting Yao +2
In this paper, we introduce the new ideas of augmenting Convolutional Neural Networks (CNNs) with Memory and learning to learn the network parameters for the unlabelled images on t…
Deep Semantic Hashing with Generative Adversarial Networks
Zhaofan Qiu, Yingwei Pan, Ting Yao +1
Hashing has been a widely-adopted technique for nearest neighbor search in large-scale image retrieval tasks. Recent research has shown that leveraging supervised information can l…
Jointly Localizing and Describing Events for Dense Video Captioning
Yehao Li, Ting Yao, Yingwei Pan +2
Automatically describing a video with natural language is regarded as a fundamental challenge in computer vision. The problem nevertheless is not trivial especially when a video co…
To Create What You Tell: Generating Videos from Captions
Yingwei Pan, Zhaofan Qiu, Ting Yao +2
We are creating multimedia contents everyday and everywhere. While automatic content generation has played a fundamental challenge to multimedia community for decades, recent advan…