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 | title string | authors list | cvf_url string | pdf_url string | supp_url string | arxiv_id string | arxiv_id_source string | bibtex large_string | abstract large_string | embedding list |
|---|---|---|---|---|---|---|---|---|---|---|
0 | Going Deeper With Convolutions | [
"Christian Szegedy",
"Wei Liu",
"Yangqing Jia",
"Pierre Sermanet",
"Scott Reed",
"Dragomir Anguelov",
"Dumitru Erhan",
"Vincent Vanhoucke",
"Andrew Rabinovich"
] | https://openaccess.thecvf.com/content_cvpr_2015/html/Szegedy_Going_Deeper_With_2015_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2015/papers/Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf | null | 1409.4842 | title_snapshot | @InProceedings{Szegedy_2015_CVPR,author = {Szegedy, Christian and Liu, Wei and Jia, Yangqing and Sermanet, Pierre and Reed, Scott and Anguelov, Dragomir and Erhan, Dumitru and Vanhoucke, Vincent and Rabinovich, Andrew},title = {Going Deeper With Convolutions},booktitle = {Proceedings of the IEEE Conference on Computer ... | We propose a deep convolutional neural network architecture codenamed Inception that achieves the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVRC2014). The main hallmark of this architecture is the improved utilization of the computing resource... | [
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1 | Propagated Image Filtering | [
"Jen-Hao Rick Chang",
"Yu-Chiang Frank Wang"
] | https://openaccess.thecvf.com/content_cvpr_2015/html/Chang_Propagated_Image_Filtering_2015_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2015/papers/Chang_Propagated_Image_Filtering_2015_CVPR_paper.pdf | https://openaccess.thecvf.com/content_cvpr_2015/supplemental/Chang_Propagated_Image_Filtering_2015_CVPR_supplemental.pdf | null | null | @InProceedings{Chang_2015_CVPR,author = {Rick Chang, Jen-Hao and Frank Wang, Yu-Chiang},title = {Propagated Image Filtering},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2015}} | In this paper, we propose the propagation filter as a novel image filtering operator, with the goal of smoothing over neighboring image pixels while preserving image context like edges or textural regions. In particular, our filter does not to utilize explicit spatial kernel functions as bilateral and guided filters do... | [
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2 | Web Scale Photo Hash Clustering on A Single Machine | [
"Yunchao Gong",
"Marcin Pawlowski",
"Fei Yang",
"Louis Brandy",
"Lubomir Bourdev",
"Rob Fergus"
] | https://openaccess.thecvf.com/content_cvpr_2015/html/Gong_Web_Scale_Photo_2015_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2015/papers/Gong_Web_Scale_Photo_2015_CVPR_paper.pdf | null | null | null | @InProceedings{Gong_2015_CVPR,author = {Gong, Yunchao and Pawlowski, Marcin and Yang, Fei and Brandy, Louis and Bourdev, Lubomir and Fergus, Rob},title = {Web Scale Photo Hash Clustering on A Single Machine},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June... | This paper addresses the problem of clustering a very large number of photos (i.e. hundreds of millions a day) in a stream into millions of clusters. This is particularly important as the popularity of photo sharing websites, such as Facebook, Google, and Instagram. Given large number of photos available online, how to... | [
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... |
3 | Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos | [
"Alina Kuznetsova",
"Sung Ju Hwang",
"Bodo Rosenhahn",
"Leonid Sigal"
] | https://openaccess.thecvf.com/content_cvpr_2015/html/Kuznetsova_Expanding_Object_Detectors_2015_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2015/papers/Kuznetsova_Expanding_Object_Detectors_2015_CVPR_paper.pdf | https://openaccess.thecvf.com/content_cvpr_2015/supplemental/Kuznetsova_Expanding_Object_Detectors_2015_CVPR_supplemental.zip | null | null | @InProceedings{Kuznetsova_2015_CVPR,author = {Kuznetsova, Alina and Ju Hwang, Sung and Rosenhahn, Bodo and Sigal, Leonid},title = {Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognitio... | Over the last several years it has been shown that image-based object detectors are sensitive to the training data and often fail to generalize to examples that fall outside the original training sample domain (e.g., videos). A number of domain adaptation (DA) techniques have been proposed to address this problem. ... | [
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4 | Supervised Discrete Hashing | [
"Fumin Shen",
"Chunhua Shen",
"Wei Liu",
"Heng Tao Shen"
] | https://openaccess.thecvf.com/content_cvpr_2015/html/Shen_Supervised_Discrete_Hashing_2015_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2015/papers/Shen_Supervised_Discrete_Hashing_2015_CVPR_paper.pdf | null | 1503.01557 | title_snapshot | @InProceedings{Shen_2015_CVPR,author = {Shen, Fumin and Shen, Chunhua and Liu, Wei and Tao Shen, Heng},title = {Supervised Discrete Hashing},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2015}} | Recently, learning based hashing techniques have attracted broad research interests due to the resulting efficient storage and retrieval of images, videos, documents, etc. However, a major difficulty of learning to hash lies in handling the discrete constraints imposed on the needed hash codes, which typically makes ha... | [
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5 | What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions? | [
"Mihir Jain",
"Jan C. van Gemert",
"Cees G. M. Snoek"
] | https://openaccess.thecvf.com/content_cvpr_2015/html/Jain_What_do_15000_2015_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2015/papers/Jain_What_do_15000_2015_CVPR_paper.pdf | null | null | null | @InProceedings{Jain_2015_CVPR,author = {Jain, Mihir and van Gemert, Jan C. and Snoek, Cees G. M.},title = {What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions?},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2015}} | This paper contributes to automatic classification and localization of human actions in video. Whereas motion is the key ingredient in modern approaches, we assess the benefits of having objects in the video representation. Rather than considering a handful of carefully selected and localized objects, we conduct an emp... | [
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6 | Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation | [
"Rahaf Aljundi",
"Remi Emonet",
"Damien Muselet",
"Marc Sebban"
] | https://openaccess.thecvf.com/content_cvpr_2015/html/Aljundi_Landmarks-Based_Kernelized_Subspace_2015_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2015/papers/Aljundi_Landmarks-Based_Kernelized_Subspace_2015_CVPR_paper.pdf | null | null | null | @InProceedings{Aljundi_2015_CVPR,author = {Aljundi, Rahaf and Emonet, Remi and Muselet, Damien and Sebban, Marc},title = {Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},ye... | Domain adaptation (DA) has gained a lot of success in the recent years in computer vision to deal with situations where the learning process has to transfer knowledge from a source to a target domain. In this paper, we introduce a novel unsupervised DA approach based on both subspace alignment and selection of landmark... | [
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7 | Blur Kernel Estimation Using Normalized Color-Line Prior | [
"Wei-Sheng Lai",
"Jian-Jiun Ding",
"Yen-Yu Lin",
"Yung-Yu Chuang"
] | https://openaccess.thecvf.com/content_cvpr_2015/html/Lai_Blur_Kernel_Estimation_2015_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2015/papers/Lai_Blur_Kernel_Estimation_2015_CVPR_paper.pdf | https://openaccess.thecvf.com/content_cvpr_2015/supplemental/Lai_Blur_Kernel_Estimation_2015_CVPR_supplemental.pdf | null | null | @InProceedings{Lai_2015_CVPR,author = {Lai, Wei-Sheng and Ding, Jian-Jiun and Lin, Yen-Yu and Chuang, Yung-Yu},title = {Blur Kernel Estimation Using Normalized Color-Line Prior},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2015}} | This paper proposes a single-image blur kernel estimation algorithm that utilizes the normalized color-line prior to restore sharp edges without altering edge structures or enhancing noise. The proposed prior is derived from the color-line model, which has been successfully applied to non-blind deconvolution and many c... | [
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8 | A Light Transport Model for Mitigating Multipath Interference in Time-of-Flight Sensors | [
"Nikhil Naik",
"Achuta Kadambi",
"Christoph Rhemann",
"Shahram Izadi",
"Ramesh Raskar",
"Sing Bing Kang"
] | https://openaccess.thecvf.com/content_cvpr_2015/html/Naik_A_Light_Transport_2015_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2015/papers/Naik_A_Light_Transport_2015_CVPR_paper.pdf | https://openaccess.thecvf.com/content_cvpr_2015/supplemental/Naik_A_Light_Transport_2015_CVPR_supplemental.pdf | 1501.04878 | title_judge | @InProceedings{Naik_2015_CVPR,author = {Naik, Nikhil and Kadambi, Achuta and Rhemann, Christoph and Izadi, Shahram and Raskar, Ramesh and Bing Kang, Sing},title = {A Light Transport Model for Mitigating Multipath Interference in Time-of-Flight Sensors},booktitle = {Proceedings of the IEEE Conference on Computer Vision ... | Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics. However, the depth images obtained from TOF cameras contain scene dependent errors due to multipath interference (MPI). Specifically, MPI occurs when multiple optical re... | [
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9 | Traditional Saliency Reloaded: A Good Old Model in New Shape | [
"Simone Frintrop",
"Thomas Werner",
"German Martin Garcia"
] | https://openaccess.thecvf.com/content_cvpr_2015/html/Frintrop_Traditional_Saliency_Reloaded_2015_CVPR_paper.html | https://openaccess.thecvf.com/content_cvpr_2015/papers/Frintrop_Traditional_Saliency_Reloaded_2015_CVPR_paper.pdf | https://openaccess.thecvf.com/content_cvpr_2015/supplemental/Frintrop_Traditional_Saliency_Reloaded_2015_CVPR_supplemental.pdf | null | null | @InProceedings{Frintrop_2015_CVPR,author = {Frintrop, Simone and Werner, Thomas and Martin Garcia, German},title = {Traditional Saliency Reloaded: A Good Old Model in New Shape},booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},month = {June},year = {2015}} | In this paper, we show that the seminal, biologically-inspired saliency model by Itti et al. is still competitive with current state-of-the-art methods for salient object segmentation if some important adaptions are made. We show which changes are necessary to achieve high performance, with special emphasis on... | [
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