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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015"
19687 条 记 录,以下是181-190 订阅
排序:
CoMoGAN: continuous model-guided image-to-image translation
CoMoGAN: continuous model-guided image-to-image translation
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Pizzati, Fabio Cerri, Pietro de Charette, Raoul INRIA Vislab Le Chesnay Rocquencourt France Vislab Parma Pr Italy INRIA Le Chesnay Rocquencourt France
CoMoGAN is a continuous GAN relying on the unsupervised reorganization of the target data on a functional manifold. To that matter, we introduce a new Functional Instance Normalization layer and residual mechanism, wh... 详细信息
来源: 评论
Learning Descriptors for Object recognition and 3D Pose Estimation
Learning Descriptors for Object Recognition and 3D Pose Esti...
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ieee conference on computer vision and pattern recognition (cvpr)
作者: Wohlhart, Paul Lepetit, Vincent Graz Univ Technol Inst Comp Vis & Graph A-8010 Graz Austria
Detecting poorly textured objects and estimating their 3D pose reliably is still a very challenging problem. We introduce a simple but powerful approach to computing descriptors for object views that efficiently captu... 详细信息
来源: 评论
Online Robust Dictionary Learning
Online Robust Dictionary Learning
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Lu, Cewu Shi, Jianping Jia, Jiaya Chinese Univ Hong Kong Hong Kong Hong Kong Peoples R China
Online dictionary learning is particularly useful for processing large-scale and dynamic data in computer vision. It, however faces the major difficulty to incorporate robust functions, rather than the square data fit... 详细信息
来源: 评论
Meta Pseudo Labels
Meta Pseudo Labels
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Hieu Pham Dai, Zihang Xie, Qizhe Le, Quoc, V Google AI Brain Team Mountain View CA 94043 USA
We present Meta Pseudo Labels, a semi-supervised learning method that achieves a new state-of-the-art top-1 accuracy of 90.2% on ImageNet, which is 1.6% better than the existing state-of-the-art [16]. Like Pseudo Labe... 详细信息
来源: 评论
Event-Driven Stereo Matching for Real-Time 3D Panoramic vision
Event-Driven Stereo Matching for Real-Time 3D Panoramic Visi...
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ieee conference on computer vision and pattern recognition (cvpr)
作者: Schraml, Stephan Belbachir, Ahmed Nabil Bischof, Horst Austrian Inst Technol Digital Safety & Secur Dept New Sensor Technol Donau City Str 1 A-1220 Vienna Austria Graz Univ Technol Inst Comp Graph & Vis A-8010 Graz Austria
This paper presents a stereo matching approach for a novel multi-perspective panoramic stereo vision system, making use of asynchronous and non-simultaneous stereo imaging towards real-time 3D 3600 vision. The method ... 详细信息
来源: 评论
Object recognition in 3D Lidar Data with Recurrent Neural Network
Object Recognition in 3D Lidar Data with Recurrent Neural Ne...
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Prokhorov, Danil V. TEMA TTC Toyota Res Inst NA Ann Arbor MI 48105 USA
This paper introduces a new method for object recognition which is based on a recurrent neural network trained in a supervised mode. The RNN inputs 3-dimensional laser scanner data sequentially, in a natural temporal ... 详细信息
来源: 评论
Low-level vision by Consensus in a Spatial Hierarchy of Regions
Low-level Vision by Consensus in a Spatial Hierarchy of Regi...
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ieee conference on computer vision and pattern recognition (cvpr)
作者: Chakrabarti, Ayan Xiong, Ying Gortler, Steven J. Zickler, Todd TTI Chicago Chicago IL 60637 USA Harvard Univ Cambridge MA 02138 USA
We introduce a multi-scale framework for low-level vision, where the goal is estimating physical scene values from image data-such as depth from stereo image pairs. The framework uses a dense, overlapping set of image... 详细信息
来源: 评论
Layered RGBD Scene Flow Estimation
Layered RGBD Scene Flow Estimation
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ieee conference on computer vision and pattern recognition (cvpr)
作者: Sun, Deqing Sudderth, Erik B. Pfister, Hanspeter Harvard Univ Cambridge MA 02138 USA Brown Univ Providence RI 02912 USA
As consumer depth sensors become widely available, estimating scene flow from RGBD sequences has received increasing attention. Although the depth information allows the recovery of 3D motion from a single view, it po... 详细信息
来源: 评论
Continuous Inference in Graphical Models with Polynomial Energies
Continuous Inference in Graphical Models with Polynomial Ene...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Salzmann, Mathieu NICTA Canberra ACT Australia
In this paper, we tackle the problem of performing inference in graphical models whose energy is a polynomial function of continuous variables. Our energy minimization method follows a dual decomposition approach, whe... 详细信息
来源: 评论
Sensor networked mobile robotics
Sensor networked mobile robotics
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ieee conference on computer vision and pattern recognition (cvpr 2000)
作者: Christensen, T Noergaard, M Madsen, C Hoover, A Aalborg Univ Dept Med Inf & Image Anal Aalborg Denmark
This work demonstrates a novel mobile robot architecture that uses environment-based sensor network that provides a third-person perception. The demonstration is motivated by the idea that a mobile robot working in th... 详细信息
来源: 评论