251 citations · 2.2k across the 123 of their papers we have counts for
5 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…
Storytelling of Photo Stream with Bidirectional Multi-thread Recurrent Neural Network
Yu Liu, Jianlong Fu, Tao Mei +1
Visual storytelling aims to generate human-level narrative language (i.e., a natural paragraph with multiple sentences) from a photo streams. A typical photo story consists of a gl…
A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes
Weiyao Lin, Yang Mi, Weiyue Wang +3
This paper addresses the problem of detecting coherent motions in crowd scenes and presents its two applications in crowd scene understanding: semantic region detection and recurre…