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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22886 条 记 录,以下是4711-4720 订阅
排序:
NeX: Real-time View Synthesis with Neural Basis Expansion
NeX: Real-time View Synthesis with Neural Basis Expansion
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wizadwongsa, Suttisak Phongthawee, Pakkapon Yenphraphai, Jiraphon Suwajanakorn, Supasorn VISTEC Rayong Thailand
We present NeX, a new approach to novel view synthesis based on enhancements of multiplane image (MPI) that can reproduce next-level view-dependent effects-in real time. Unlike traditional MP! that uses a set of simpl... 详细信息
来源: 评论
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation
Heterogeneous Grid Convolution for Adaptive, Efficient, and ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hamaguchi, Ryuhei Furukawa, Yasutaka Onishi, Masaki Sakurada, Ken Natl Inst Adv Ind Sci & Technol Tokyo Japan Simon Fraser Univ Burnaby BC Canada
This paper proposes a novel heterogeneous grid convolution that builds a graph-based image representation by exploiting heterogeneity in the image content, enabling adaptive, efficient, and controllable computations i... 详细信息
来源: 评论
UDAC: Under-Display Array Cameras
UDAC: Under-Display Array Cameras
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Chengyu Wang Jing Li Pavan C. Madhusudanarao Jinhan Hu Jitesh K. Singh WooJhon Choi Seok-Jun Lee Hamid R. Sheikh Samsung Research America Samsung Research India-Bangalore Samsung Electronics
Under-display cameras (UDC) provide uninterrupted display experience on smartphones, but the captured images suffer from quality degradations such as diffraction blur, and reduced signal-to-noise ratio due to the pres... 详细信息
来源: 评论
Interpolation-based Semi-supervised Learning for Object Detection
Interpolation-based Semi-supervised Learning for Object Dete...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Jeong, Jisoo Verma, Vikas Hyun, Minsung Kannala, Juho Kwak, Nojun Seou1 Natl Univ Seoul South Korea Aalto Univ Espoo Finland Mila Quebec Artificial Intelligence Inst Montreal PQ Canada SK Hynix Icheon Si South Korea
Despite the data labeling cost for the object detection tasks being substantially more than that of the classification tasks, semi-supervised learning methods for object detection have not been studied much. In this p... 详细信息
来源: 评论
Pixel Codec Avatars
Pixel Codec Avatars
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ma, Shugao Simon, Tomas Saragih, Jason Wang, Dawei Li, Yuecheng De La Torre, Fernando Sheikh, Yaser Facebook Real Labs Res Menlo Pk CA 94025 USA
Telecommunication with photorealistic avatars in virtual or augmented reality is a promising path for achieving authentic face-to-face communication in 3D over remote physical distances. In this work, we present the P... 详细信息
来源: 评论
Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks
Histopathological Image Classification with Cell Morphology ...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Andrey Ignatov Josephine Yates Valentina Boeva Computer Vision Lab ETH Zurich Computational Cancer Genomics Group
Histopathological images are widely used for the analysis of diseased (tumor) tissues and patient treatment selection. While the majority of microscopy image processing was previously done manually by pathologists, re... 详细信息
来源: 评论
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains
FaceInpainter: High Fidelity Face Adaptation to Heterogeneou...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Jia Li, Zhaoyang Cao, Jie Song, Xingguang He, Ran Chinese Acad Sci Univ Chinese Acad Sci Sch Artificial IntelligenceNatl Lab Pattern Reco CASIACtr Excellence Brain Sci & Intelligence Tec Beijing Peoples R China
In this work, we propose a novel two-stage framework named Facelnpainter to implement controllable Identity-Guided Face Inpainting (IGFI) under heterogeneous domains. Concretely, by explicitly disentangling foreground... 详细信息
来源: 评论
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
Sparse Auxiliary Networks for Unified Monocular Depth Predic...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Guizilini, Vitor Ambrus, Rares Burgard, Wolfram Gaidon, Adrien Toyota Res Inst TRI Los Altos CA 94022 USA
Estimating scene geometry from data obtained with cost-effective sensors is key for robots and self-driving cars. In this paper, we study the problem of predicting dense depth from a single RGB image (monodepth) with ... 详细信息
来源: 评论
Learning to Identify Correct 2D-2D Line Correspondences on Sphere
Learning to Identify Correct 2D-2D Line Correspondences on S...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Haoang Chen, Kai Zhao, Ji Wang, Jiangliu Kim, Pyojin Liu, Zhe Liu, Yun-Hui Chinese Univ Hong Kong Hong Kong Peoples R China TuSimple Beijing Peoples R China Sookmyung Womens Univ Seoul South Korea Univ Cambridge Cambridge England
Given a set of putative 2D-2D line correspondences, we aim to identify correct matches. Existing methods exploit the geometric constraints. They are only applicable to structured scenes with orthogonality, parallelism... 详细信息
来源: 评论
Label Propagation for Zero-shot Classification with vision-Language Models
Label Propagation for Zero-shot Classification with Vision-L...
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conference on computer vision and pattern recognition (CVPR)
作者: Vladan Stojnić Yannis Kalantidis Giorgos Tolias VRG FEE Czech Technical University in Prague NAVER LABS Europe
vision-Language Models (VLMs) have demonstrated im-pressive performance on zero-shot classification, i.e. classi-fication when provided merely with a list of class names. In this paper, we tackle the case of zero-shot... 详细信息
来源: 评论