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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22906 条 记 录,以下是211-220 订阅
排序:
Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
Eclipse: Disambiguating Illumination and Materials using Uni...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Verbin, Dor Mildenhall, Ben Hedman, Peter Barron, Jonathan T. Zickler, Todd Srinivasan, Pratul P. Google Res Mountain View CA 94043 USA Harvard Univ Cambridge MA USA
Decomposing an object's appearance into representations of its materials and the surrounding illumination is difficult, even when the object's 3D shape is known beforehand. This problem is especially challengi... 详细信息
来源: 评论
VicTR: Video-conditioned Text Representations for Activity recognition
VicTR: Video-conditioned Text Representations for Activity R...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kahatapitiya, Kumara Arnab, Anurag Nagrani, Arsha Ryoo, Michael S. SUNY Stony Brook Stony Brook NY 11794 USA Google Res Mountain View CA USA
vision-Language models (VLMs) have excelled in the image-domain- especially in zero-shot settings- thanks to the availability of vast pretraining data (i.e., paired image-text samples). However for videos, such paired... 详细信息
来源: 评论
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization
ICON: Incremental CONfidence for Joint Pose and Radiance Fie...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Weiyao Gleize, Pierre Tang, Hao Chen, Xingyu Liang, Kevin J. Feiszli, Matt Meta FAIR Menlo Pk CA 94025 USA
Neural Radiance Fields (NeRF) exhibit remarkable performance for Novel View Synthesis (NVS) given a set of 2D images. However, NeRF training requires accurate camera pose for each input view, typically obtained by Str... 详细信息
来源: 评论
Know Your Neighbors: Improving Single-View Reconstruction via Spatial vision-Language Reasoning
Know Your Neighbors: Improving Single-View Reconstruction vi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Rui Fischer, Tobias Segu, Mattia Pollefeys, Marc Van Gool, Luc Tombari, Federico Swiss Fed Inst Technol Zurich Switzerland Google Mountain View CA 94043 USA Tech Univ Munich Munich Germany
Recovering the 3D scene geometry from a single view is a fundamental yet ill-posed problem in computer vision. While classical depth estimation methods infer only a 2.5D scene representation limited to the image plane... 详细信息
来源: 评论
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box vision-Language Models for Selective Visual Question Answering
Consistency and Uncertainty: Identifying Unreliable Response...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Khan, Zaid Fu, Yun Northeastern Univ Boston MA 02115 USA
The goal of selective prediction is to allow an a model to abstain when it may not be able to deliver a reliable prediction, which is important in safety-critical contexts. Existing approaches to selective prediction ... 详细信息
来源: 评论
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative vision-Language Reasoning
Learning by Correction: Efficient Tuning Task for Zero-Shot ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Rongjie Wu, Yu He, Xuming ShanghaiTech Univ Sch Informat Sci & Technol Shanghai Peoples R China Shanghai Engn Res Ctr Intelligent Vis & Imaging Shanghai Peoples R China
Generative vision-language models (VLMs) have shown impressive performance in zero-shot vision-language tasks like image captioning and visual question answering. However, improving their zero-shot reasoning typically... 详细信息
来源: 评论
Neural Refinement for Absolute Pose Regression with Feature Synthesis
Neural Refinement for Absolute Pose Regression with Feature ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chen, Shuai Bhalgat, Yash Li, Xinghui Bin, Jia-Wang Li, Kejie Wang, Zirui Prisacariu, Victor Adrian Univ Oxford Act Vision Lab Oxford England Univ Oxford Visual Geometry Grp Oxford England
Absolute Pose Regression (APR) methods use deep neural networks to directly regress camera poses from RGB images. However, the predominant APR architectures only rely on 2D operations during inference, resulting in li... 详细信息
来源: 评论
Flow-Guided Online Stereo Rectification for Wide Baseline Stereo
Flow-Guided Online Stereo Rectification for Wide Baseline St...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kumar, Anush Mannan, Fahim Jafari, Omid Hosseini Li, Shile Heider, Felix Torc Robot Blacksburg VA 24060 USA Princeton Univ Princeton NJ 08544 USA
Stereo rectification is widely considered "solved" due to the abundance of traditional approaches to perform rectification. However, autonomous vehicles and robots in-the-wild require constant re-calibration... 详细信息
来源: 评论
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
A Backpack Full of Skills: Egocentric Video Understanding wi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Peirone, Simone Alberto Pistilli, Francesca Alliegro, Antonio Averta, Giuseppe Politecnico Torino Turin Italy Ist Italiano Tecnol Genoa Italy
Human comprehension of a video stream is naturally broad: in a few instants, we are able to understand what is happening, the relevance and relationship of objects, and forecast what will follow in the near future, ev... 详细信息
来源: 评论
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Rozenberszki, David Litany, Or Dai, Angela Tech Univ Munich Munich Germany Technion Haifa Israel NVIDIA Santa Clara CA USA
3D instance segmentation is fundamental to geometric understanding of the world around us. Existing methods for instance segmentation of 3D scenes rely on supervision from expensive, manual 3D annotations. We propose ... 详细信息
来源: 评论