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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12859 条 记 录,以下是4551-4560 订阅
Prototype-Guided Saliency Feature Learning for Person Search
Prototype-Guided Saliency Feature Learning for Person Search
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kim, Hanjae Joung, Sunghun Kim, Ig-Jae Sohn, Kwanghoon Yonsei Univ Seoul South Korea Korea Inst Sci & Technol KIST Seoul South Korea
Existing person search methods integrate person detection and re-identification (re-ID) module into a unified system. Though promising results have been achieved, the misalignment problem, which commonly occurs in per... 详细信息
来源: 评论
Reconstructing 3D Human Pose by Watching Humans in the Mirror
Reconstructing 3D Human Pose by Watching Humans in the Mirro...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Fang, Qi Shuai, Qing Dong, Junting Bao, Hujun Zhou, Xiaowei Zhejiang Univ State Key Lab CAD&CG Hangzhou Zhejiang Peoples R China
In this paper, we introduce the new task of reconstructing 3D human pose from a single image in which we can see the person and the person's image through a mirror. Compared to general scenarios of 3D pose estimat... 详细信息
来源: 评论
IronMask: Modular Architecture for Protecting Deep Face Template
IronMask: Modular Architecture for Protecting Deep Face Temp...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kim, Sunpill Jeong, Yunseong Kim, Jinsu Kim, Jungkon Lee, Hyung Tae Seo, Jae Hong Hanyang Univ Dept Math Seoul South Korea Hanyang Univ Res Inst Nat Sci Seoul South Korea Jeonbuk Natl Univ Coll Engn Div Comp Sci & Engn Jeonju South Korea Samsung Elect Samsung Res Secur Team Suwon South Korea
Convolutional neural networks have made remarkable progress in the face recognition field. The more the technology of face recognition advances, the greater discriminative features into a face template. However, this ... 详细信息
来源: 评论
Taskology: Utilizing Task Relations at Scale
Taskology: Utilizing Task Relations at Scale
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lu, Yao Pirk, Soren Dlabal, Jan Brohan, Anthony Pasad, Ankita Chen, Zhao Casser, Vincent Angelova, Anelia Gordon, Ariel Google Robot Mountain View CA 94043 USA Google Res Mountain View CA 94043 USA Toyota Technol Inst Chicago Chicago IL 60637 USA Waymo LLC Mountain View CA USA
Many computer vision tasks address the problem of scene understanding and are naturally interrelated e.g. object classification, detection, scene segmentation, depth estimation, etc. We show that we can leverage the i... 详细信息
来源: 评论
Double low-rank representation with projection distance penalty for clustering
Double low-rank representation with projection distance pena...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Fu, Zhiqiang Zhao, Yao Chang, Dongxia Zhang, Xingxing Wang, Yiming Beijing Jiaotong Univ Inst Informat Sci Beijing Peoples R China Beijing Key Lab Adv Informat Sci & Network Techno Beijing Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China
This paper presents a novel, simple yet robust self-representation method, i.e., Double Low-Rank Representation with Projection Distance penalty (DLRRPD) for clustering. With the learned optimal projected representati... 详细信息
来源: 评论
Weakly Supervised Video Salient Object Detection
Weakly Supervised Video Salient Object Detection
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Wangbo Zhang, Jing Li, Long Barnes, Nick Liu, Nian Han, Junwei Northwestern Polytech Univ Brain & Artificial Intelligence Lab Xian Peoples R China Australian Natl Univ Canberra ACT Australia CSIRO Canberra ACT Australia Incept Inst Artificial Intelligence Abu Dhabi U Arab Emirates
Significant performance improvement has been achieved for fully-supervised video salient object detection with the pixel-wise labeled training datasets, which are time-consuming and expensive to obtain. To relieve the... 详细信息
来源: 评论
UC2: Universal Cross-lingual Cross-modal vision-and-Language Pre-training
UC<SUP>2</SUP>: Universal Cross-lingual Cross-modal Vision-a...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhou, Mingyang Zhou, Luowei Wang, Shuohang Cheng, Yu Li, Linjie Yu, Zhou Liu, Jingjing Univ Calif Davis Davis CA 95616 USA Microsoft Dynamics 365 AI Res Redmond WA USA
vision-and-language pre-training has achieved impressive success in learning multimodal representations between vision and language. To generalize this success to non-English languages, we introduce UC2, the first mac... 详细信息
来源: 评论
End-to-End Human Object Interaction Detection with HOI Transformer
End-to-End Human Object Interaction Detection with HOI Trans...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zou, Cheng Wang, Bohan Hu, Yue Liu, Junqi Wu, Qian Zhao, Yu Li, Boxun Zhang, Chenguang Zhang, Chi Wei, Yichen Sun, Jian MEGVII Technol Beijing Peoples R China
We propose HOI Transformer to tackle human object interaction (HOI) detection in an end-to-end manner. Current approaches either decouple HOI task into separated stages of object detection and interaction classificati... 详细信息
来源: 评论
QAttn: Efficient GPU Kernels for mixed-precision vision Transformers
QAttn: Efficient GPU Kernels for mixed-precision Vision Tran...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Piotr Kluska Adrián Castelló Florian Scheidegger A. Cristiano I. Malossi Enrique S. Quintana-Ortí IBM Research Europe Universitat Politècnica de València Universitat Politècnica de València IBM Research Europe
vision Transformers have demonstrated outstanding performance in computer vision tasks. Nevertheless, this superior performance for large models comes at the expense of increasing memory usage for storing the paramete... 详细信息
来源: 评论
DualAST: Dual Style-Learning Networks for Artistic Style Transfer
DualAST: Dual Style-Learning Networks for Artistic Style Tra...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Haibo Zhao, Lei Wang, Zhizhong Zhang, Huiming Zuo, Zhiwen Li, Ailin Xing, Wei Lu, Dongming Zhejiang Univ Coll Comp Sci & Technol Hangzhou Peoples R China
Artistic style transfer is an image editing task that aims at repainting everyday photographs with learned artistic styles. Existing methods learn styles from either a single style example or a collection of artworks.... 详细信息
来源: 评论