251 citations · 1k across the 82 of their papers we have counts for
4 papers · 1 filter
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model
Zhaofan Qiu, Ting Yao, Tao Mei
Deep convolutional neural networks (CNNs) have proven highly effective for visual recognition, where learning a universal representation from activations of convolutional layer pla…
Video Captioning with Transferred Semantic Attributes
Yingwei Pan, Ting Yao, Houqiang Li +1
Automatically generating natural language descriptions of videos plays a fundamental challenge for computer vision community. Most recent progress in this problem has been achieved…
Boosting Image Captioning with Attributes
Ting Yao, Yingwei Pan, Yehao Li +2
Automatically describing an image with a natural language has been an emerging challenge in both fields of computer vision and natural language processing. In this paper, we presen…
Deep Learning for Video Classification and Captioning
Zuxuan Wu, Ting Yao, Yanwei Fu +1
Accelerated by the tremendous increase in Internet bandwidth and storage space, video data has been generated, published and spread explosively, becoming an indispensable part of t…