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检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024"
11890 条 记 录,以下是351-360 订阅
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InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models
InteractDiffusion: Interaction Control in Text-to-Image Diff...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Hoe, Jiun Tian Jiang, Xudong Chan, Chee Seng Tan, Yap-Peng Hu, Weipeng Nanyang Technol Univ Sch EEE Singapore Singapore Univ Malaya CISiP Kuala Lumpur Malaysia
Large-scale text-to-image (T2I) diffusion models have showcased incredible capabilities in generating coherent images based on textual descriptions, enabling vast applications in content generation. While recent advan... 详细信息
来源: 评论
RoMa: Robust Dense Feature Matching
RoMa: Robust Dense Feature Matching
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Edstedt, Johan Sun, Qiyu Bokman, Georg Wadenback, Marten Felsberg, Michael Linkoping Univ Linkoping Sweden East China Univ Sci & Technol Shanghai Peoples R China Chalmers Univ Technol Gothenburg Sweden
Feature matching is an important computer vision task that involves estimating correspondences between two images of a 3D scene, and dense methods estimate all such correspondences. The aim is to learn a robust model,... 详细信息
来源: 评论
Domain Prompt Learning with Quaternion Networks
Domain Prompt Learning with Quaternion Networks
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Cao, Qinglong Xu, Zhengqin Chen, Yuntian Ma, Chao Yang, Xiaokang Shanghai Jiao Tong Univ AI Inst MoE Key Lab Artificial Intelligence Shanghai Peoples R China Eastern Inst Technol Ningbo Inst Digital Twin Ningbo Peoples R China
Prompt learning has emerged as a potent and resource-efficient technique in large vision-Language Models (VLMs). However, its application in adapting VLMs to specialized domains like remote sensing and medical imaging... 详细信息
来源: 评论
A Sliced Wasserstein Loss for Neural Texture Synthesis
A Sliced Wasserstein Loss for Neural Texture Synthesis
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Heitz, Eric Vanhoey, Kenneth Chambon, Thomas Belcour, Laurent Unity Technol Grenoble France
We address the problem of computing a textural loss based on the statistics extracted from the feature activations of a convolutional neural network optimized for object recognition (e.g. VGG-19). The underlying mathe... 详细信息
来源: 评论
Robust Emotion recognition in Context Debiasing
Robust Emotion Recognition in Context Debiasing
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yang, Dingkang Yang, Kun Li, Mingcheng Wang, Shunli Wang, Shuaibing Zhang, Lihua Fudan Univ Acad Engn & Technol Shanghai Peoples R China Cognit & Intelligent Technol Lab CIT Lab Beijing Peoples R China Jilin Prov Key Lab Intelligence Sci & Engn Changchun Peoples R China Minist Educ Engn Res Ctr AI & Robot Shanghai Peoples R China
Context-aware emotion recognition (CAER) has recently boosted the practical applications of affective computing techniques in unconstrained environments. Mainstream CAER methods invariably extract ensemble representat... 详细信息
来源: 评论
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained vision-Language Models
One Prompt Word is Enough to Boost Adversarial Robustness fo...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Lin, L. Guan, Haoyan Qiu, Jianing Spratling, Michael Kings Coll London London England Imperial Coll London London England
Large pre-trained vision-Language Models (VLMs) like CLIP, despite having remarkable generalization ability, are highly vulnerable to adversarial examples. This work studies the adversarial robustness of VLMs from the... 详细信息
来源: 评论
Investigating Compositional Challenges in vision-Language Models for Visual Grounding
Investigating Compositional Challenges in Vision-Language Mo...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zeng, Yunan Huang, Yan Zhang, Jinjin Jie, Zequn Chai, Zhenhua Wang, Liang Ctr Res Intelligent Percept & Comp CRIPAC Beijing Peoples R China Chinese Acad Sci CASIA Inst Automat Beijing Peoples R China Meituan Beijing Peoples R China
Pre-trained vision-language models (VLMs) have achieved high performance on various downstream tasks, which have been widely used for visual grounding tasks in a weakly supervised manner. However, despite the performa...
来源: 评论
Leveraging vision-Language Models for Improving Domain Generalization in Image Classification
Leveraging Vision-Language Models for Improving Domain Gener...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Addepalli, Sravanti Asokan, Ashish Ramayee Sharma, Lakshay Babu, R. Venkatesh Indian Inst Sci Vision & AI Lab Bangalore Karnataka India
vision-Language Models (VLMs) such as CLIP are trained on large amounts of image-text pairs, resulting in remarkable generalization across several data distributions. However, in several cases, their expensive trainin... 详细信息
来源: 评论
Differentiable Display Photometric Stereo
Differentiable Display Photometric Stereo
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Choi, Seokjun Yoon, Seungwoo Nam, Giljoo Lee, Seungyong Baek, Seung-Hwan POSTECH Pohang South Korea Meta Real Labs Menlo Pk CA USA
Photometric stereo leverages variations in illumination conditions to reconstruct surface normals. Display photometric stereo, which employs a conventional monitor as an illumination source, has the potential to overc... 详细信息
来源: 评论
Gesture recognition: Focus on the Hands  31
Gesture Recognition: Focus on the Hands
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Narayana, Pradyumna Beveridge, J. Ross Draper, Bruce A. Colorado State Univ Ft Collins CO 80523 USA
Gestures are a common form of human communication and important for human computer interfaces (HCI). Recent approaches to gesture recognition use deep learning methods, including multi-channel methods. We show that wh... 详细信息
来源: 评论