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 2.72k | title stringlengths 14 153 | authors listlengths 1 100 | cvf_url stringlengths 90 191 | pdf_url stringlengths 91 192 | supp_url stringlengths 100 147 ⌀ | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 3
values | bibtex large_stringlengths 297 2.24k | abstract large_stringlengths 435 2.86k ⌀ | embedding listlengths 768 768 |
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0 | Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising | [
"Haijin Zeng",
"Jiezhang Cao",
"Kai Zhang",
"Yongyong Chen",
"Hiep Luong",
"Wilfried Philips"
] | https://openaccess.thecvf.com/content/CVPR2024/html/Zeng_Unmixing_Diffusion_for_Self-Supervised_Hyperspectral_Image_Denoising_CVPR_2024_paper.html | https://openaccess.thecvf.com/content/CVPR2024/papers/Zeng_Unmixing_Diffusion_for_Self-Supervised_Hyperspectral_Image_Denoising_CVPR_2024_paper.pdf | https://openaccess.thecvf.com/content/CVPR2024/supplemental/Zeng_Unmixing_Diffusion_for_CVPR_2024_supplemental.pdf | null | null | @InProceedings{Zeng_2024_CVPR,
author = {Zeng, Haijin and Cao, Jiezhang and Zhang, Kai and Chen, Yongyong and Luong, Hiep and Philips, Wilfried},
title = {Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and ... | Hyperspectral images (HSIs) have extensive applications in various fields such as medicine agriculture and industry. Nevertheless acquiring high signal-to-noise ratio HSI poses a challenge due to narrow-band spectral filtering. Consequently the importance of HSI denoising is substantial especially for snapshot hyperspe... | [
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1 | Seeing the World through Your Eyes | [
"Hadi Alzayer",
"Kevin Zhang",
"Brandon Feng",
"Christopher A. Metzler",
"Jia-Bin Huang"
] | https://openaccess.thecvf.com/content/CVPR2024/html/Alzayer_Seeing_the_World_through_Your_Eyes_CVPR_2024_paper.html | https://openaccess.thecvf.com/content/CVPR2024/papers/Alzayer_Seeing_the_World_through_Your_Eyes_CVPR_2024_paper.pdf | https://openaccess.thecvf.com/content/CVPR2024/supplemental/Alzayer_Seeing_the_World_CVPR_2024_supplemental.pdf | 2306.09348 | cvf | @InProceedings{Alzayer_2024_CVPR,
author = {Alzayer, Hadi and Zhang, Kevin and Feng, Brandon and Metzler, Christopher A. and Huang, Jia-Bin},
title = {Seeing the World through Your Eyes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month... | The reflective nature of the human eye is an under-appreciated source of information about what the world around us looks like. By imaging the eyes of a moving person we capture multiple views of a scene outside the camera's direct line of sight through the reflections in the eyes. In this paper we reconstruct a radian... | [
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2 | DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery | [
"Yixuan Zhu",
"Ao Li",
"Yansong Tang",
"Wenliang Zhao",
"Jie Zhou",
"Jiwen Lu"
] | https://openaccess.thecvf.com/content/CVPR2024/html/Zhu_DPMesh_Exploiting_Diffusion_Prior_for_Occluded_Human_Mesh_Recovery_CVPR_2024_paper.html | https://openaccess.thecvf.com/content/CVPR2024/papers/Zhu_DPMesh_Exploiting_Diffusion_Prior_for_Occluded_Human_Mesh_Recovery_CVPR_2024_paper.pdf | https://openaccess.thecvf.com/content/CVPR2024/supplemental/Zhu_DPMesh_Exploiting_Diffusion_CVPR_2024_supplemental.zip | 2404.01424 | cvf | @InProceedings{Zhu_2024_CVPR,
author = {Zhu, Yixuan and Li, Ao and Tang, Yansong and Zhao, Wenliang and Zhou, Jie and Lu, Jiwen},
title = {DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogniti... | The recovery of occluded human meshes poses challenges for current methods due to the difficulty in extracting effective image features under severe occlusion. In this paper we introduce DPMesh an innovative framework for occluded human mesh recovery that capitalizes on the profound knowledge about object structure and... | [
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3 | Ungeneralizable Examples | [
"Jingwen Ye",
"Xinchao Wang"
] | https://openaccess.thecvf.com/content/CVPR2024/html/Ye_Ungeneralizable_Examples_CVPR_2024_paper.html | https://openaccess.thecvf.com/content/CVPR2024/papers/Ye_Ungeneralizable_Examples_CVPR_2024_paper.pdf | https://openaccess.thecvf.com/content/CVPR2024/supplemental/Ye_Ungeneralizable_Examples_CVPR_2024_supplemental.pdf | 2404.14016 | cvf | @InProceedings{Ye_2024_CVPR,
author = {Ye, Jingwen and Wang, Xinchao},
title = {Ungeneralizable Examples},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2024},
pages = {11944-11953}
} | The training of contemporary deep learning models heavily relies on publicly available data posing a risk of unauthorized access to online data and raising concerns about data privacy. Current approaches to creating unlearnable data involve incorporating small specially designed noises but these methods strictly limit ... | [
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4 | LaneCPP: Continuous 3D Lane Detection using Physical Priors | [
"Maximilian Pittner",
"Joel Janai",
"Alexandru P. Condurache"
] | https://openaccess.thecvf.com/content/CVPR2024/html/Pittner_LaneCPP_Continuous_3D_Lane_Detection_using_Physical_Priors_CVPR_2024_paper.html | https://openaccess.thecvf.com/content/CVPR2024/papers/Pittner_LaneCPP_Continuous_3D_Lane_Detection_using_Physical_Priors_CVPR_2024_paper.pdf | https://openaccess.thecvf.com/content/CVPR2024/supplemental/Pittner_LaneCPP_Continuous_3D_CVPR_2024_supplemental.pdf | 2406.08381 | cvf | @InProceedings{Pittner_2024_CVPR,
author = {Pittner, Maximilian and Janai, Joel and Condurache, Alexandru P.},
title = {LaneCPP: Continuous 3D Lane Detection using Physical Priors},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month =... | Monocular 3D lane detection has become a fundamental problem in the context of autonomous driving which comprises the tasks of finding the road surface and locating lane markings. One major challenge lies in a flexible but robust line representation capable of modeling complex lane structures while still avoiding unpre... | [
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5 | CityDreamer: Compositional Generative Model of Unbounded 3D Cities | [
"Haozhe Xie",
"Zhaoxi Chen",
"Fangzhou Hong",
"Ziwei Liu"
] | https://openaccess.thecvf.com/content/CVPR2024/html/Xie_CityDreamer_Compositional_Generative_Model_of_Unbounded_3D_Cities_CVPR_2024_paper.html | https://openaccess.thecvf.com/content/CVPR2024/papers/Xie_CityDreamer_Compositional_Generative_Model_of_Unbounded_3D_Cities_CVPR_2024_paper.pdf | https://openaccess.thecvf.com/content/CVPR2024/supplemental/Xie_CityDreamer_Compositional_Generative_CVPR_2024_supplemental.pdf | 2309.00610 | cvf | @InProceedings{Xie_2024_CVPR,
author = {Xie, Haozhe and Chen, Zhaoxi and Hong, Fangzhou and Liu, Ziwei},
title = {CityDreamer: Compositional Generative Model of Unbounded 3D Cities},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month ... | 3D city generation is a desirable yet challenging task since humans are more sensitive to structural distortions in urban environments. Additionally generating 3D cities is more complex than 3D natural scenes since buildings as objects of the same class exhibit a wider range of appearances compared to the relatively co... | [
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6 | HEAL-SWIN: A Vision Transformer On The Sphere | [
"Oscar Carlsson",
"Jan E. Gerken",
"Hampus Linander",
"Heiner Spieß",
"Fredrik Ohlsson",
"Christoffer Petersson",
"Daniel Persson"
] | https://openaccess.thecvf.com/content/CVPR2024/html/Carlsson_HEAL-SWIN_A_Vision_Transformer_On_The_Sphere_CVPR_2024_paper.html | https://openaccess.thecvf.com/content/CVPR2024/papers/Carlsson_HEAL-SWIN_A_Vision_Transformer_On_The_Sphere_CVPR_2024_paper.pdf | https://openaccess.thecvf.com/content/CVPR2024/supplemental/Carlsson_HEAL-SWIN_A_Vision_CVPR_2024_supplemental.pdf | 2307.07313 | title_snapshot | @InProceedings{Carlsson_2024_CVPR,
author = {Carlsson, Oscar and Gerken, Jan E. and Linander, Hampus and Spie{\ss}, Heiner and Ohlsson, Fredrik and Petersson, Christoffer and Persson, Daniel},
title = {HEAL-SWIN: A Vision Transformer On The Sphere},
booktitle = {Proceedings of the IEEE/CVF Conference... | High-resolution wide-angle fisheye images are becoming more and more important for robotics applications such as autonomous driving. However using ordinary convolutional neural networks or vision transformers on this data is problematic due to projection and distortion losses introduced when projecting to a rectangular... | [
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7 | 3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation | [
"Dale Decatur",
"Itai Lang",
"Kfir Aberman",
"Rana Hanocka"
] | https://openaccess.thecvf.com/content/CVPR2024/html/Decatur_3D_Paintbrush_Local_Stylization_of_3D_Shapes_with_Cascaded_Score_CVPR_2024_paper.html | https://openaccess.thecvf.com/content/CVPR2024/papers/Decatur_3D_Paintbrush_Local_Stylization_of_3D_Shapes_with_Cascaded_Score_CVPR_2024_paper.pdf | https://openaccess.thecvf.com/content/CVPR2024/supplemental/Decatur_3D_Paintbrush_Local_CVPR_2024_supplemental.pdf | 2311.09571 | cvf | @InProceedings{Decatur_2024_CVPR,
author = {Decatur, Dale and Lang, Itai and Aberman, Kfir and Hanocka, Rana},
title = {3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR... | We present 3D Paintbrush a technique for automatically texturing local semantic regions on meshes via text descriptions. Our method is designed to operate directly on meshes producing texture maps which seamlessly integrate into standard graphics pipelines. We opt to simultaneously produce a localization map (to specif... | [
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8 | Test-Time Linear Out-of-Distribution Detection | [
"Ke Fan",
"Tong Liu",
"Xingyu Qiu",
"Yikai Wang",
"Lian Huai",
"Zeyu Shangguan",
"Shuang Gou",
"Fengjian Liu",
"Yuqian Fu",
"Yanwei Fu",
"Xingqun Jiang"
] | https://openaccess.thecvf.com/content/CVPR2024/html/Fan_Test-Time_Linear_Out-of-Distribution_Detection_CVPR_2024_paper.html | https://openaccess.thecvf.com/content/CVPR2024/papers/Fan_Test-Time_Linear_Out-of-Distribution_Detection_CVPR_2024_paper.pdf | https://openaccess.thecvf.com/content/CVPR2024/supplemental/Fan_Test-Time_Linear_Out-of-Distribution_CVPR_2024_supplemental.pdf | null | null | @InProceedings{Fan_2024_CVPR,
author = {Fan, Ke and Liu, Tong and Qiu, Xingyu and Wang, Yikai and Huai, Lian and Shangguan, Zeyu and Gou, Shuang and Liu, Fengjian and Fu, Yuqian and Fu, Yanwei and Jiang, Xingqun},
title = {Test-Time Linear Out-of-Distribution Detection},
booktitle = {Proceedings of t... | Out-of-Distribution (OOD) detection aims to address the excessive confidence prediction by neural networks by triggering an alert when the input sample deviates significantly from the training distribution (in-distribution) indicating that the output may not be reliable. Current OOD detection approaches explore all kin... | [
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9 | Guided Slot Attention for Unsupervised Video Object Segmentation | [
"Minhyeok Lee",
"Suhwan Cho",
"Dogyoon Lee",
"Chaewon Park",
"Jungho Lee",
"Sangyoun Lee"
] | https://openaccess.thecvf.com/content/CVPR2024/html/Lee_Guided_Slot_Attention_for_Unsupervised_Video_Object_Segmentation_CVPR_2024_paper.html | https://openaccess.thecvf.com/content/CVPR2024/papers/Lee_Guided_Slot_Attention_for_Unsupervised_Video_Object_Segmentation_CVPR_2024_paper.pdf | null | 2303.08314 | cvf | @InProceedings{Lee_2024_CVPR,
author = {Lee, Minhyeok and Cho, Suhwan and Lee, Dogyoon and Park, Chaewon and Lee, Jungho and Lee, Sangyoun},
title = {Guided Slot Attention for Unsupervised Video Object Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern R... | Unsupervised video object segmentation aims to segment the most prominent object in a video sequence. However the existence of complex backgrounds and multiple foreground objects make this task challenging. To address this issue we propose a guided slot attention network to reinforce spatial structural information and ... | [
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