Xinlei Chen

Sort by:

Microsoft COCO Captions: Data Collection and Evaluation Server

Xinlei Chen, Hao Fang, +4 authors C. Lawrence Zitnick
ArXiv
2015

In this paper we describe the Microsoft COCO Caption dataset and evaluation server. When completed, the dataset will contain over one and a half million captions describing over 330,000 images. For… (More)

Large Scale Spectral Clustering with Landmark-Based Representation

Spectral clustering is one of the most popular clustering approaches. Despite its good performance, it is limited in its applicability to large-scale problems due to its high computational… (More)

NEIL: Extracting Visual Knowledge from Web Data

Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta
2013 IEEE International Conference on Computer…
2013

We propose NEIL (Never Ending Image Learner), a computer program that runs 24 hours per day and 7 days per week to automatically extract visual knowledge from Internet data. NEIL uses a… (More)

Webly Supervised Learning of Convolutional Networks

Xinlei Chen, Abhinav Gupta
2015 IEEE International Conference on Computer…
2015

We present an approach to utilize large amounts of web data for learning CNNs. Specifically inspired by curriculum learning, we present a two-step approach for CNN training. First, we use easy images… (More)

Visualizing and Understanding Neural Models in NLP

Jiwei Li, Xinlei Chen, Eduard H. Hovy, Daniel Jurafsky
HLT-NAACL
2016

While neural networks have been successfully applied to many NLP tasks the resulting vector-based models are very difficult to interpret. For example it’s not clear how they achieve compositionality,… (More)

Mind's eye: A recurrent visual representation for image caption generation

Xinlei Chen, C. Lawrence Zitnick
2015 IEEE Conference on Computer Vision and…
2015

In this paper we explore the bi-directional mapping between images and their sentence-based descriptions. Critical to our approach is a recurrent neural network that attempts to dynamically build a… (More)

Enriching Visual Knowledge Bases via Object Discovery and Segmentation

Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta
2014 IEEE Conference on Computer Vision and…
2014

There have been some recent efforts to build visual knowledge bases from Internet images. But most of these approaches have focused on bounding box representation of objects. In this paper, we… (More)

PixelNet: Representation of the pixels, by the pixels, and for the pixels

Aayush Bansal, Xinlei Chen, Bryan C. Russell, Abhinav Gupta, Deva Ramanan
ArXiv
2017

We explore design principles for general pixel-level prediction problems, from low-level edge detection to midlevel surface normal estimation to high-level semantic segmentation. Convolutional… (More)

Large Scale Spectral Clustering Via Landmark-Based Sparse Representation

Deng Cai, Xinlei Chen
IEEE Transactions on Cybernetics
2015

Spectral clustering is one of the most popular clustering approaches. However, it is not a trivial task to apply spectral clustering to large-scale problems due to its computational complexity of… (More)

Learning a Recurrent Visual Representation for Image Caption Generation

In this paper we explore the bi-directional mapping between images and their sentence-based descriptions. We propose learning this mapping using a recurrent neural network. Unlike previous approaches… (More)

Filter Results:

Publication Year

Publication Type

Co-author

Journals and Conferences