CVPR
Collection
Accepted papers for CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition), one dataset per year. • 14 items • Updated
paper_id uint32 0 539 | title stringlengths 21 141 | authors listlengths 1 14 | cvf_url stringlengths 88 131 | pdf_url stringlengths 89 132 | supp_url stringclasses 0
values | arxiv_id stringclasses 42
values | arxiv_id_source stringclasses 2
values | bibtex large_stringlengths 239 514 | abstract large_stringlengths 405 2.19k | embedding listlengths 768 768 |
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0 | Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction | [
"Jian Cheng",
"Cong Leng",
"Jiaxiang Wu",
"Hainan Cui",
"Hanqing Lu"
] | https://openaccess.thecvf.com/content_cvpr_2014/html/Cheng_Fast_and_Accurate_2014_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2014/papers/Cheng_Fast_and_Accurate_2014_CVPR_paper.pdf | null | null | null | @InProceedings{Cheng_2014_CVPR,author = {Cheng, Jian and Leng, Cong and Wu, Jiaxiang and Cui, Hainan and Lu, Hanqing},title = {Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},ye... | Image matching is one of the most challenging stages in 3D reconstruction, which usually occupies half of computational cost and inaccurate matching may lead to failure of reconstruction. Therefore, fast and accurate image matching is very crucial for 3D reconstruction. In this paper, we proposed a Cascade Hashing stra... | [
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1 | Predicting Matchability | [
"Wilfried Hartmann",
"Michal Havlena",
"Konrad Schindler"
] | https://openaccess.thecvf.com/content_cvpr_2014/html/Hartmann_Predicting_Matchability_2014_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2014/papers/Hartmann_Predicting_Matchability_2014_CVPR_paper.pdf | null | null | null | @InProceedings{Hartmann_2014_CVPR,author = {Hartmann, Wilfried and Havlena, Michal and Schindler, Konrad},title = {Predicting Matchability},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2014}} | The initial steps of many computer vision algorithms are interest point extraction and matching. In larger image sets the pairwise matching of interest point descriptors between images is an important bottleneck. For each descriptor in one image the (approximate) nearest neighbor in the other one has to be found and ch... | [
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2 | Trinocular Geometry Revisited | [
"Jean Ponce",
"Martial Hebert"
] | https://openaccess.thecvf.com/content_cvpr_2014/html/Ponce_Trinocular_Geometry_Revisited_2014_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2014/papers/Ponce_Trinocular_Geometry_Revisited_2014_CVPR_paper.pdf | null | null | null | @InProceedings{Ponce_2014_CVPR,author = {Ponce, Jean and Hebert, Martial},title = {Trinocular Geometry Revisited},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2014}} | When do the visual rays associated with triplets of point correspondences converge, that is, intersect in a common point? Classical models of trinocular geometry based on the fundamental matrices and trifocal tensor associated with the corresponding cameras only provide partial answers to this fundamental question, in ... | [
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3 | Critical Configurations For Radial Distortion Self-Calibration | [
"Changchang Wu"
] | https://openaccess.thecvf.com/content_cvpr_2014/html/Wu_Critical_Configurations_For_2014_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2014/papers/Wu_Critical_Configurations_For_2014_CVPR_paper.pdf | null | null | null | @InProceedings{Wu_2014_CVPR,author = {Wu, Changchang},title = {Critical Configurations For Radial Distortion Self-Calibration},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2014}} | In this paper, we study the configurations of motion and structure that lead to inherent ambiguities in radial distortion estimation (or 3D reconstruction with unknown radial distortions). By analyzing the motion field of radially distorted images, we solve for critical surface pairs that can lead to the same motion f... | [
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4 | Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion | [
"Yubin Kuang",
"Jan E. Solem",
"Fredrik Kahl",
"Kalle Astrom"
] | https://openaccess.thecvf.com/content_cvpr_2014/html/Kuang_Minimal_Solvers_for_2014_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2014/papers/Kuang_Minimal_Solvers_for_2014_CVPR_paper.pdf | null | null | null | @InProceedings{Kuang_2014_CVPR,author = {Kuang, Yubin and Solem, Jan E. and Kahl, Fredrik and Astrom, Kalle},title = {Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2014}... | In this paper, we study the problems of estimating relative pose between two cameras in the presence of radial distortion. Specifically, we consider minimal problems where one of the cameras has no or known radial distortion. There are three useful cases for this setup with a single unknown distortion: (i) fundamenta... | [
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5 | Reconstructing PASCAL VOC | [
"Sara Vicente",
"Joao Carreira",
"Lourdes Agapito",
"Jorge Batista"
] | https://openaccess.thecvf.com/content_cvpr_2014/html/Vicente_Reconstructing_PASCAL_VOC_2014_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2014/papers/Vicente_Reconstructing_PASCAL_VOC_2014_CVPR_paper.pdf | null | null | null | @InProceedings{Vicente_2014_CVPR,author = {Vicente, Sara and Carreira, Joao and Agapito, Lourdes and Batista, Jorge},title = {Reconstructing PASCAL VOC},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2014}} | We address the problem of populating object category detection datasets with dense, per-object 3D reconstructions, bootstrapped from class labels, ground truth figure-ground segmentations and a small set of keypoint annotations. Our proposed algorithm first estimates camera viewpoint using rigid structure-from-motion, ... | [
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6 | Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation | [
"Fabio Galasso",
"Margret Keuper",
"Thomas Brox",
"Bernt Schiele"
] | https://openaccess.thecvf.com/content_cvpr_2014/html/Galasso_Spectral_Graph_Reduction_2014_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2014/papers/Galasso_Spectral_Graph_Reduction_2014_CVPR_paper.pdf | null | null | null | @InProceedings{Galasso_2014_CVPR,author = {Galasso, Fabio and Keuper, Margret and Brox, Thomas and Schiele, Bernt},title = {Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},yea... | Computational and memory costs restrict spectral techniques to rather small graphs, which is a serious limitation especially in video segmentation. In this paper, we propose the use of a reduced graph based on superpixels. In contrast to previous work, the reduced graph is reweighted such that the resulting segmentatio... | [
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7 | Weakly Supervised Multiclass Video Segmentation | [
"Xiao Liu",
"Dacheng Tao",
"Mingli Song",
"Ying Ruan",
"Chun Chen",
"Jiajun Bu"
] | https://openaccess.thecvf.com/content_cvpr_2014/html/Liu_Weakly_Supervised_Multiclass_2014_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2014/papers/Liu_Weakly_Supervised_Multiclass_2014_CVPR_paper.pdf | null | null | null | @InProceedings{Liu_2014_CVPR,author = {Liu, Xiao and Tao, Dacheng and Song, Mingli and Ruan, Ying and Chen, Chun and Bu, Jiajun},title = {Weakly Supervised Multiclass Video Segmentation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2014}} | The desire of enabling computers to learn semantic concepts from large quantities of Internet videos has motivated increasing interests on semantic video understanding, while video segmentation is important yet challenging for understanding videos. The main difficulty of video segmentation arises from the burden of lab... | [
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8 | Video Motion Segmentation Using New Adaptive Manifold Denoising Model | [
"Dijun Luo",
"Heng Huang"
] | https://openaccess.thecvf.com/content_cvpr_2014/html/Luo_Video_Motion_Segmentation_2014_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2014/papers/Luo_Video_Motion_Segmentation_2014_CVPR_paper.pdf | null | null | null | @InProceedings{Luo_2014_CVPR,author = {Luo, Dijun and Huang, Heng},title = {Video Motion Segmentation Using New Adaptive Manifold Denoising Model},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2014}} | Video motion segmentation techniques automatically segment and track objects and regions from videos or image sequences as a primary processing step for many computer vision applications. We propose a novel motion segmentation approach for both rigid and non-rigid objects using adaptive manifold denoising. We first in... | [
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9 | Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning | [
"Thorsten Beier",
"Thorben Kroeger",
"Jorg H. Kappes",
"Ullrich Kothe",
"Fred A. Hamprecht"
] | https://openaccess.thecvf.com/content_cvpr_2014/html/Beier_Cut_Glue__2014_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2014/papers/Beier_Cut_Glue__2014_CVPR_paper.pdf | null | null | null | @InProceedings{Beier_2014_CVPR,author = {Beier, Thorsten and Kroeger, Thorben and Kappes, Jorg H. and Kothe, Ullrich and Hamprecht, Fred A.},title = {Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},... | Recently, unsupervised image segmentation has become increasingly popular. Starting from a superpixel segmentation, an edge-weighted region adjacency graph is constructed. Amongst all segmentations of the graph, the one which best conforms to the given image evidence, as measured by the sum of cut edge weights, is chos... | [
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10 | Neural Decision Forests for Semantic Image Labelling | [
"Samuel Rota Bulo",
"Peter Kontschieder"
] | https://openaccess.thecvf.com/content_cvpr_2014/html/Bulo_Neural_Decision_Forests_2014_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2014/papers/Bulo_Neural_Decision_Forests_2014_CVPR_paper.pdf | null | null | null | @InProceedings{Bulo_2014_CVPR,author = {Rota Bulo, Samuel and Kontschieder, Peter},title = {Neural Decision Forests for Semantic Image Labelling},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2014}} | In this work we present Neural Decision Forests, a novel approach to jointly tackle data representation- and discriminative learning within randomized decision trees. Recent advances of deep learning architectures demonstrate the power of embedding representation learning within the classifier – An idea that is intuiti... | [
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