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检索条件"任意字段=Conference on Computer Vision and Pattern Recognition"
29687 条 记 录,以下是4721-4730 订阅
排序:
Learning Feature Aggregation for Deep 3D Morphable Models
Learning Feature Aggregation for Deep 3D Morphable Models
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chen, Zhixiang Kim, Tae-Kyun Imperial Coll London London England Korea Adv Inst Sci & Technol Seoul South Korea
3D morphable models are widely used for the shape representation of an object class in computer vision and graphics applications. In this work, we focus on deep 3D morphable models that directly apply deep learning on... 详细信息
来源: 评论
Pulsar: Efficient Sphere-based Neural Rendering
Pulsar: Efficient Sphere-based Neural Rendering
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lassner, Christoph Zollhofer, Michael Facebook Real Labs Redmond WA 98052 USA
We propose Pulsar, an efficient sphere-based differentiable rendering module that is orders of magnitude faster than competing techniques, modular, and easy-to-use due to its tight integration with PyTorch. Differenti... 详细信息
来源: 评论
Communication Efficient SGD via Gradient Sampling with Bayes Prior
Communication Efficient SGD via Gradient Sampling with Bayes...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Song, Liuyihan Zhao, Kang Pan, Pan Liu, Yu Zhang, Yingya Xu, Yinghui Jin, Rong Alibaba Grp Machine Intelligence Technol Lab Beijing Peoples R China
Gradient compression has been widely adopted in data-parallel distributed training of deep neural networks to reduce communication overhead. Some literatures have demonstrated that large gradients are more important t... 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
pix2gestalt: Amodal Segmentation by Synthesizing Wholes
pix2gestalt: Amodal Segmentation by Synthesizing Wholes
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conference on computer vision and pattern recognition (CVPR)
作者: Ege Ozguroglu Ruoshi Liu Dídac Surís Dian Chen Achal Dave Pavel Tokmakov Carl Vondrick Columbia University Toyota Research Institute
We introduce pix2gestalt, a framework for zero-shot amodal segmentation, which learns to estimate the shape and appearance of whole objects that are only partially visible behind occlusions. By capitalizing on large-s... 详细信息
来源: 评论
Open World Compositional Zero-Shot Learning
Open World Compositional Zero-Shot Learning
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mancini, Massimiliano Naeem, Muhammad Ferjad Xian, Yongqin Akata, Zeynep Univ Tubingen Tubingen Germany Tech Univ Munich Munich Germany MPI Informat Saarbrucken Germany MPI Intelligent Syst Saarbrucken Germany
Compositional Zero-Shot learning (CZSL) requires to recognize state-object compositions unseen during training. In this work, instead of assuming prior knowledge about the unseen compositions, we operate in the open w... 详细信息
来源: 评论
SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences
SceneGraphFusion: Incremental 3D Scene Graph Prediction from...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wu, Shun-Cheng Wald, Johanna Tateno, Keisuke Navab, Nassir Tombari, Federico Tech Univ Munich Munich Germany Google Mountain View CA 94043 USA
Scene graphs are a compact and explicit representation successfully used in a variety of 2D scene understanding tasks. This work proposes a method to incrementally build up semantic scene graphs from a 3D environment ... 详细信息
来源: 评论
Long-term Head Pose Forecasting Conditioned on the Gaze-guiding Prior
Long-term Head Pose Forecasting Conditioned on the Gaze-guid...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mo, Shentong Xin, Miao Carnegie Mellon Univ Pittsburgh PA 15213 USA Chinese Acad Sci Inst Automat CASIA Beijing Peoples R China
Forecasting head pose future states is a novel task in computer vision. Since future may have many possibilities, and the logical results are much more important than the impractical ones, the forecasting results for ... 详细信息
来源: 评论
AutoInt: Automatic Integration for Fast Neural Volume Rendering
AutoInt: Automatic Integration for Fast Neural Volume Render...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lindell, David B. Martel, Julien N. P. Wetzstein, Gordon Stanford Univ Stanford CA 94305 USA
Numerical integration is a foundational technique in scientific computing and is at the core of many computer vision applications. Among these applications, neural volume rendering has recently been proposed as a new ... 详细信息
来源: 评论
Graph-based High-Order Relation Discovery for Fine-grained recognition
Graph-based High-Order Relation Discovery for Fine-grained R...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Yifan Yan, Ke Huang, Feiyue Li, Jia Beihang Univ State Key Lab Virtual Real Technol & Syst SCSE Beijing Peoples R China Tencent Youtu Lab Shanghai Peoples R China Peng Cheng Lab Shenzhen Peoples R China
Fine-grained object recognition aims to learn effective features that can identify the subtle differences between visually similar objects. Most of the existing works tend to amplify discriminative part regions with a... 详细信息
来源: 评论