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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23198 条 记 录,以下是251-260 订阅
排序:
Probing the 3D Awareness of Visual Foundation Models
Probing the 3D Awareness of Visual Foundation Models
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: El Banani, Mohamed Raj, Amit Maninis, Kevis-Kokitsi Kar, Abhishek Li, Yuanzhen Rubinstein, Michael Sun, Deqing Guibas, Leonidas Johnson, Justin Jampani, Varun Univ Michigan Ann Arbor MI 48109 USA Google Mountain View CA 94043 USA Stability AI London ON Canada
Recent advances in large-scale pretraining have yielded visual foundation models with strong capabilities. Not only can recent models generalize to arbitrary images for their training task, their intermediate represen... 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
GRAM: Global Reasoning for Multi-Page VQA
GRAM: Global Reasoning for Multi-Page VQA
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Blau, Tsachi Fogel, Sharon Ronen, Roi Goltst, Alona Per, Shahar Tsi Ben Avraham, Elad Aberdam, Aviad Ganz, Roy Litman, Ron Technion Haifa Israel AWS AI Labs Shanghai Peoples R China
The increasing use of transformer-based large language models brings forward the challenge of processing long sequences. In document visual question answering (DocVQA), leading methods focus on the single-page setting... 详细信息
来源: 评论
Situational Awareness Matters in 3D vision Language Reasoning
Situational Awareness Matters in 3D Vision Language Reasonin...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Man, Yunze Gui, Liang-Yan Wang, Yu-Xiong Univ Illinois Urbana IL 61801 USA
Being able to carry out complicated vision language reasoning tasks in 3D space represents a significant milestone in developing household robots and human-centered embodied AI. In this work, we demonstrate that a cri... 详细信息
来源: 评论
Persistent-Transient Duality in Human Behavior Modeling
Persistent-Transient Duality in Human Behavior Modeling
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hung Tran Vuong Le Venkatesh, Svetha Truyen Tran Deakin Univ Appl AI Inst Geelong Vic Australia
We propose to model the persistent-transient duality in human behavior using a parent-child multi-channel neural network, which features a parent persistent channel that manages the global dynamics and children transi... 详细信息
来源: 评论
Low-Resource vision Challenges for Foundation Models
Low-Resource Vision Challenges for Foundation Models
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yunhua Doughty, Hazel Snoek, Cees G. M. Univ Amsterdam Amsterdam Netherlands Leiden Univ Leiden Netherlands
Low-resource settings are well-established in natural language processing, where many languages lack sufficient data for deep learning at scale. However, low-resource problems are under-explored in computer vision. In...
来源: 评论
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained vision Transfomers
Not All Prompts Are Secure: A Switchable Backdoor Attack Aga...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yang, Sheng Bai, Jiawang Gao, Kuofeng Yang, Yong Li, Yiming Xia, Shu-Tao Tsinghua Univ Beijing Peoples R China Tencent Secur Platform Dept Shenzhen Peoples R China Zhejiang Univ Hangzhou Peoples R China Peng Cheng Lab Res Ctr Artificial Intelligence Shenzhen Peoples R China
Given the power of vision transformers, a new learning paradigm, pretraining and then prompting, makes it more efficient and effective to address downstream visual recognition tasks. In this paper, we identify a novel... 详细信息
来源: 评论
Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
Eclipse: Disambiguating Illumination and Materials using Uni...
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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
Convolutional Prompting meets Language Models for Continual Learning
Convolutional Prompting meets Language Models for Continual ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Roy, Anurag Moulick, Riddhiman Verma, Vinay K. Ghosh, Saptarshi Das, Abir IIT Kharagpur Kharagpur W Bengal India IML Amazon India Hyderabad India
Continual Learning (CL) enables machine learning models to learn from continuously shifting new training data in absence of data from old tasks. Recently, pretrained vision transformers combined with prompt tuning hav... 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