Search Results for author: Yong Rui

Found 17 papers, 1 papers with code

A Survey on Food Computing

no code implementations22 Aug 2018 Weiqing Min, Shuqiang Jiang, Linhu Liu, Yong Rui, Ramesh Jain

This is the first comprehensive survey that targets the study of computing technology for the food area and also offers a collection of research studies and technologies to benefit researchers and practitioners working in different food-related fields.

Computers and Society Multimedia

AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond

no code implementations5 Dec 2017 Ling-Yu Duan, Yihang Lou, Shiqi Wang, Wen Gao, Yong Rui

To practically facilitate deep neural network models in the large-scale video analysis, there are still unprecedented challenges for the large-scale video data management.

Multi-Level Attention Networks for Visual Question Answering

no code implementations CVPR 2017 Dongfei Yu, Jianlong Fu, Tao Mei, Yong Rui

To solve the challenges, we propose a multi-level attention network for visual question answering that can simultaneously reduce the semantic gap by semantic attention and benefit fine-grained spatial inference by visual attention.

Question Answering Visual Question Answering

Enhancing Person Re-identification in a Self-trained Subspace

1 code implementation20 Apr 2017 Xun Yang, Meng Wang, Richang Hong, Qi Tian, Yong Rui

To address this problem, in this paper, we propose a self-trained subspace learning paradigm for person re-ID which effectively utilizes both labeled and unlabeled data to learn a discriminative subspace where person images across disjoint camera views can be easily matched.

Person Re-Identification

MSR-VTT: A Large Video Description Dataset for Bridging Video and Language

no code implementations CVPR 2016 Jun Xu, Tao Mei, Ting Yao, Yong Rui

In this paper we present MSR-VTT (standing for "ABC-Video to Text") which is a new large-scale video benchmark for video understanding, especially the emerging task of translating video to text.

Image Captioning Video Description +1

Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency

no code implementations CVPR 2016 Chi Zhang, Zhiwei Li, Rui Cai, Hongyang Chao, Yong Rui

In this paper, we propose an RGB-D camera localization approach which takes an effective geometry constraint, i. e. silhouette consistency, into consideration.

Camera Localization Semantic Segmentation

Highlight Detection With Pairwise Deep Ranking for First-Person Video Summarization

no code implementations CVPR 2016 Ting Yao, Tao Mei, Yong Rui

The emergence of wearable devices such as portable cameras and smart glasses makes it possible to record life logging first-person videos.

Video Summarization

Network Morphism

no code implementations5 Mar 2016 Tao Wei, Changhu Wang, Yong Rui, Chang Wen Chen

The second requirement for this network morphism is its ability to deal with non-linearity in a network.

Relaxing From Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging

no code implementations ICCV 2015 Jianlong Fu, Yue Wu, Tao Mei, Jinqiao Wang, Hanqing Lu, Yong Rui

The development of deep learning has empowered machines with comparable capability of recognizing limited image categories to human beings.

Query Adaptive Similarity Measure for RGB-D Object Recognition

no code implementations ICCV 2015 Yanhua Cheng, Rui Cai, Chi Zhang, Zhiwei Li, Xin Zhao, Kaiqi Huang, Yong Rui

The reasons are in two-fold: (1) existing similarity measures are sensitive to object pose and scale changes, as well as intra-class variations; and (2) effectively fusing RGB and depth cues is still an open problem.

Object Recognition

Jointly Modeling Embedding and Translation to Bridge Video and Language

no code implementations CVPR 2016 Yingwei Pan, Tao Mei, Ting Yao, Houqiang Li, Yong Rui

Our proposed LSTM-E consists of three components: a 2-D and/or 3-D deep convolutional neural networks for learning powerful video representation, a deep RNN for generating sentences, and a joint embedding model for exploring the relationships between visual content and sentence semantics.


Visualizing and Comparing Convolutional Neural Networks

no code implementations20 Dec 2014 Wei Yu, Kuiyuan Yang, Yalong Bai, Hongxun Yao, Yong Rui

Convolutional Neural Networks (CNNs) have achieved comparable error rates to well-trained human on ILSVRC2014 image classification task.

Classification General Classification +1

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