ICCV
Collection
Accepted papers for ICCV (IEEE/CVF International Conference on Computer Vision), one dataset per year. • 7 items • Updated
paper_id uint32 0 453 | title stringlengths 12 126 | authors listlengths 1 7 | cvf_url stringlengths 88 131 | pdf_url stringlengths 89 132 | supp_url stringclasses 0
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values | bibtex large_stringlengths 218 450 | abstract large_stringlengths 326 1.92k | embedding listlengths 768 768 |
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0 | Latent Task Adaptation with Large-Scale Hierarchies | [
"Yangqing Jia",
"Trevor Darrell"
] | https://openaccess.thecvf.com/content_iccv_2013/html/Jia_Latent_Task_Adaptation_2013_ICCV_paper.html | https://openaccess.thecvf.com/content_iccv_2013/papers/Jia_Latent_Task_Adaptation_2013_ICCV_paper.pdf | null | null | null | @InProceedings{Jia_2013_ICCV,author = {Jia, Yangqing and Darrell, Trevor},title = {Latent Task Adaptation with Large-Scale Hierarchies},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} | Recent years have witnessed the success of large-scale image classification systems that are able to identify objects among thousands of possible labels. However, it is yet unclear how general classifiers such as ones trained on ImageNet can be optimally adapted to specific tasks, each of which only covers a semantical... | [
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1 | Image Co-segmentation via Consistent Functional Maps | [
"Fan Wang",
"Qixing Huang",
"Leonidas J. Guibas"
] | https://openaccess.thecvf.com/content_iccv_2013/html/Wang_Image_Co-segmentation_via_2013_ICCV_paper.html | https://openaccess.thecvf.com/content_iccv_2013/papers/Wang_Image_Co-segmentation_via_2013_ICCV_paper.pdf | null | null | null | @InProceedings{Wang_2013_ICCV,author = {Wang, Fan and Huang, Qixing and Guibas, Leonidas J.},title = {Image Co-segmentation via Consistent Functional Maps},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} | Joint segmentation of image sets has great importance for object recognition, image classification, and image retrieval. In this paper, we aim to jointly segment a set of images starting from a small number of labeled images or none at all. To allow the images to share segmentation information with each other, we build... | [
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2 | Manipulation Pattern Discovery: A Nonparametric Bayesian Approach | [
"Bingbing Ni",
"Pierre Moulin"
] | https://openaccess.thecvf.com/content_iccv_2013/html/Ni_Manipulation_Pattern_Discovery_2013_ICCV_paper.html | https://openaccess.thecvf.com/content_iccv_2013/papers/Ni_Manipulation_Pattern_Discovery_2013_ICCV_paper.pdf | null | null | null | @InProceedings{Ni_2013_ICCV,author = {Ni, Bingbing and Moulin, Pierre},title = {Manipulation Pattern Discovery: A Nonparametric Bayesian Approach},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} | We aim to unsupervisedly discover human's action (motion) patterns of manipulating various objects in scenarios such as assisted living. We are motivated by two key observations. First, large variation exists in motion patterns associated with various types of objects being manipulated, thus manually defining motion pr... | [
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3 | Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning | [
"Zheyun Feng",
"Rong Jin",
"Anil Jain"
] | https://openaccess.thecvf.com/content_iccv_2013/html/Feng_Large-Scale_Image_Annotation_2013_ICCV_paper.html | https://openaccess.thecvf.com/content_iccv_2013/papers/Feng_Large-Scale_Image_Annotation_2013_ICCV_paper.pdf | null | null | null | @InProceedings{Feng_2013_ICCV,author = {Feng, Zheyun and Jin, Rong and Jain, Anil},title = {Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} | One of the key challenges in search-based image annotation models is to define an appropriate similarity measure between images. Many kernel distance metric learning (KML) algorithms have been developed in order to capture the nonlinear relationships between visual features and semantics of the images. One fundamental ... | [
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4 | Hybrid Deep Learning for Face Verification | [
"Yi Sun",
"Xiaogang Wang",
"Xiaoou Tang"
] | https://openaccess.thecvf.com/content_iccv_2013/html/Sun_Hybrid_Deep_Learning_2013_ICCV_paper.html | https://openaccess.thecvf.com/content_iccv_2013/papers/Sun_Hybrid_Deep_Learning_2013_ICCV_paper.pdf | null | null | null | @InProceedings{Sun_2013_ICCV,author = {Sun, Yi and Wang, Xiaogang and Tang, Xiaoou},title = {Hybrid Deep Learning for Face Verification},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} | This paper proposes a hybrid convolutional network (ConvNet)-Restricted Boltzmann Machine (RBM) model for face verification in wild conditions. A key contribution of this work is to directly learn relational visual features, which indicate identity similarities, from raw pixels of face pairs with a hybrid deep network.... | [
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5 | Latent Data Association: Bayesian Model Selection for Multi-target Tracking | [
"Aleksandr V. Segal",
"Ian Reid"
] | https://openaccess.thecvf.com/content_iccv_2013/html/Segal_Latent_Data_Association_2013_ICCV_paper.html | https://openaccess.thecvf.com/content_iccv_2013/papers/Segal_Latent_Data_Association_2013_ICCV_paper.pdf | null | null | null | @InProceedings{Segal_2013_ICCV,author = {Segal, Aleksandr V. and Reid, Ian},title = {Latent Data Association: Bayesian Model Selection for Multi-target Tracking},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} | We propose a novel parametrization of the data association problem for multi-target tracking. In our formulation, the number of targets is implicitly inferred together with the data association, effectively solving data association and model selection as a single inference problem. The novel formulation allows us to in... | [
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6 | Recursive Estimation of the Stein Center of SPD Matrices and Its Applications | [
"Hesamoddin Salehian",
"Guang Cheng",
"Baba C. Vemuri",
"Jeffrey Ho"
] | https://openaccess.thecvf.com/content_iccv_2013/html/Salehian_Recursive_Estimation_of_2013_ICCV_paper.html | https://openaccess.thecvf.com/content_iccv_2013/papers/Salehian_Recursive_Estimation_of_2013_ICCV_paper.pdf | null | null | null | @InProceedings{Salehian_2013_ICCV,author = {Salehian, Hesamoddin and Cheng, Guang and Vemuri, Baba C. and Ho, Jeffrey},title = {Recursive Estimation of the Stein Center of SPD Matrices and Its Applications},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year ... | Symmetric positive-definite (SPD) matrices are ubiquitous in Computer Vision, Machine Learning and Medical Image Analysis. Finding the center/average of a population of such matrices is a common theme in many algorithms such as clustering, segmentation, principal geodesic analysis, etc. The center of a population of su... | [
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7 | Real-Time Solution to the Absolute Pose Problem with Unknown Radial Distortion and Focal Length | [
"Zuzana Kukelova",
"Martin Bujnak",
"Tomas Pajdla"
] | https://openaccess.thecvf.com/content_iccv_2013/html/Kukelova_Real-Time_Solution_to_2013_ICCV_paper.html | https://openaccess.thecvf.com/content_iccv_2013/papers/Kukelova_Real-Time_Solution_to_2013_ICCV_paper.pdf | null | null | null | @InProceedings{Kukelova_2013_ICCV,author = {Kukelova, Zuzana and Bujnak, Martin and Pajdla, Tomas},title = {Real-Time Solution to the Absolute Pose Problem with Unknown Radial Distortion and Focal Length},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = ... | The problem of determining the absolute position and orientation of a camera from a set of 2D-to-3D point correspondences is one of the most important problems in computer vision with a broad range of applications. In this paper we present a new solution to the absolute pose problem for camera with unknown radial disto... | [
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8 | Sieving Regression Forest Votes for Facial Feature Detection in the Wild | [
"Heng Yang",
"Ioannis Patras"
] | https://openaccess.thecvf.com/content_iccv_2013/html/Yang_Sieving_Regression_Forest_2013_ICCV_paper.html | https://openaccess.thecvf.com/content_iccv_2013/papers/Yang_Sieving_Regression_Forest_2013_ICCV_paper.pdf | null | null | null | @InProceedings{Yang_2013_ICCV,author = {Yang, Heng and Patras, Ioannis},title = {Sieving Regression Forest Votes for Facial Feature Detection in the Wild},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} | In this paper we propose a method for the localization of multiple facial features on challenging face images. In the regression forests (RF) framework, observations (patches) that are extracted at several image locations cast votes for the localization of several facial features. In order to filter out votes that are ... | [
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9 | Constant Time Weighted Median Filtering for Stereo Matching and Beyond | [
"Ziyang Ma",
"Kaiming He",
"Yichen Wei",
"Jian Sun",
"Enhua Wu"
] | https://openaccess.thecvf.com/content_iccv_2013/html/Ma_Constant_Time_Weighted_2013_ICCV_paper.html | https://openaccess.thecvf.com/content_iccv_2013/papers/Ma_Constant_Time_Weighted_2013_ICCV_paper.pdf | null | null | null | @InProceedings{Ma_2013_ICCV,author = {Ma, Ziyang and He, Kaiming and Wei, Yichen and Sun, Jian and Wu, Enhua},title = {Constant Time Weighted Median Filtering for Stereo Matching and Beyond},booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},month = {December},year = {2013}} | Despite the continuous advances in local stereo matching for years, most efforts are on developing robust cost computation and aggregation methods. Little attention has been seriously paid to the disparity refinement. In this work, we study weighted median filtering for disparity refinement. We discover that with this ... | [
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