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Showing 2014 · cs.CVShow all

13 papers · 2 filters

cs.CV2014★ 65 cited

A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data

Yin Zheng, Yu-Jin Zhang, Hugo Larochelle

Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to deal with multimodal data, such as in image annotation tasks. Another popular approach t…

cs.CV2014★ 1 cited

Physical Computing With No Clock to Implement the Gaussian Pyramid of SIFT Algorithm

Yi Li, Qi Wei, Fei Qiao +1

Physical computing is a technology utilizing the nature of electronic devices and circuit topology to cope with computing tasks. In this paper, we propose an active circuit network…

cs.CV2014★ 193 cited

LSDA: Large Scale Detection Through Adaptation

Judy Hoffman, Sergio Guadarrama, Eric Tzeng +5

A major challenge in scaling object detection is the difficulty of obtaining labeled images for large numbers of categories. Recently, deep convolutional neural networks (CNNs) hav…

cs.CV2014★ 3 cited

Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency

Wenhao Lu, Xiaochen Lian, Alan Yuille

This paper addresses the problem of semantic part parsing (segmentation) of cars, i.e.assigning every pixel within the car to one of the parts (e.g.body, window, lights, license pl…

cs.CV2014

Image Tag Completion by Low-rank Factorization with Dual Reconstruction Structure Preserved

Xue Li, Yu-Jin Zhang, Bin Shen +1

A novel tag completion algorithm is proposed in this paper, which is designed with the following features: 1) Low-rank and error s-parsity: the incomplete initial tagging matrix D…

cs.CV2014

Image retrieval with hierarchical matching pursuit

Shasha Bu, Yu-Jin Zhang

A novel representation of images for image retrieval is introduced in this paper, by using a new type of feature with remarkable discriminative power. Despite the multi-scale natur…

cs.CV2014★ 4 cited

Beyond Difference: Learning Optimal Metric for Boundary Detection

Fei He, Shengjin Wang

This letter focuses on solving the challenging problem of detecting natural image boundaries. A boundary usually refers to the border between two regions with different semantic me…

cs.CV2014

Visual Reranking with Improved Image Graph

Ziqiong Liu, Shengjin Wang, Liang Zheng +1

This paper introduces an improved reranking method for the Bag-of-Words (BoW) based image search. Built on [1], a directed image graph robust to outlier distraction is proposed. In…

cs.CV2014

Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval

Liang Zheng, Shengjin Wang, Wengang Zhou +1

The Bag-of-Words (BoW) representation is well applied to recent state-of-the-art image retrieval works. Typically, multiple vocabularies are generated to correct quantization artif…

cs.CV2014★ 11 cited

A Reverse Hierarchy Model for Predicting Eye Fixations

Tianlin Shi, Liang Ming, Xiaolin Hu

A number of psychological and physiological evidences suggest that early visual attention works in a coarse-to-fine way, which lays a basis for the reverse hierarchy theory (RHT).…

cs.CV2014★ 1.4k cited

PCANet: A Simple Deep Learning Baseline for Image Classification?

Tsung-Han Chan, Kui Jia, Shenghua Gao +3

In this work, we propose a very simple deep learning network for image classification which comprises only the very basic data processing components: cascaded principal component a…

cs.CV2014★ 45 cited

Binary Stereo Matching

Kang Zhang, Jiyang Li, Yijing Li +3

In this paper, we propose a novel binary-based cost computation and aggregation approach for stereo matching problem. The cost volume is constructed through bitwise operations on a…

cs.CV2014★ 32 cited

Packing and Padding: Coupled Multi-index for Accurate Image Retrieval

Liang Zheng, Shengjin Wang, Ziqiong Liu +1

In Bag-of-Words (BoW) based image retrieval, the SIFT visual word has a low discriminative power, so false positive matches occur prevalently. Apart from the information loss durin…