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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23228 条 记 录,以下是211-220 订阅
排序:
TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process
TIGER: Time-Varying Denoising Model for 3D Point Cloud Gener...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ren, Zhiyuan Kim, Minchul Liu, Feng Liu, Xiaoming Michigan State Univ E Lansing MI 48824 USA
Recently, diffusion models have emerged as a new powerful generative method for 3D point cloud generation tasks. However, few works study the effect of the architecture of the diffusion model in the 3D point cloud, re... 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
Robust Image Denoising through Adversarial Frequency Mixup
Robust Image Denoising through Adversarial Frequency Mixup
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ryou, Donghun Ha, Inju Yoo, Hyewon Kim, Dongwan Han, Bohyung Seoul Natl Univ ECE Comp Vis Lab Seoul South Korea Seoul Natl Univ IPAI Seoul South Korea
Image denoising approaches based on deep neural networks often struggle with overfitting to specific noise distributions present in training data. This challenge persists in existing real-world denoising networks, whi... 详细信息
来源: 评论
Instance-Aware Group Quantization for vision Transformers
Instance-Aware Group Quantization for Vision Transformers
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jaehyeon, Moon Kim, Dohyung Cheon, Junyong Ham, Bumsub Yonsei Univ Seoul South Korea Articron Bogota Colombia
Post-training quantization (PTQ) is an efficient model compression technique that quantizes a pretrained full-precision model using only a small calibration set of unlabeled samples without retraining. PTQ methods for... 详细信息
来源: 评论
Towards Better vision-Inspired vision-Language Models
Towards Better Vision-Inspired Vision-Language Models
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cao, Yun-Hao Ji, Kaixiang Huang, Ziyuan Zheng, Chuanyang Liu, Jiajia Wang, Jian Chen, Jingdong Yang, Ming Nanjing Univ Natl Key Lab Novel Software Technol Nanjing Jiangsu Peoples R China Ant Grp Hangzhou Zhejiang Peoples R China
vision-language (VL) models have achieved unprecedented success recently, in which the connection module is the key to bridge the modality gap. Nevertheless, the abundant visual clues are not sufficiently exploited in... 详细信息
来源: 评论
Potential Risk Localization via Weak Labeling out of Blind Spot
Potential Risk Localization via Weak Labeling out of Blind S...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shimomura, Kota Hirakawa, Tsubasa Yamashita, Takayoshi Fujiyoshi, Hironobu Chubu Univ Kasugai Aichi Japan
Achieving fully autonomous driving requires not only understanding the current surrounding conditions but also predicting how objects that could lead to potential risks may change in the future. Predicting potential r... 详细信息
来源: 评论
Any-Shift Prompting for Generalization over Distributions
Any-Shift Prompting for Generalization over Distributions
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xiao, Zehao Shen, Jiayi Derakhshani, Mohammad Mandi Liao, Shengcai Snoek, Cees G. M. Univ Amsterdam Amsterdam Netherlands Core42 Abu Dhabi U Arab Emirates
Image-language models with prompt learning have shown remarkable advances in numerous downstream vision tasks. Nevertheless, conventional prompt learning methods overfit their training distribution and lose the genera... 详细信息
来源: 评论
ShapeWalk: Compositional Shape Editing through Language-Guided Chains
ShapeWalk: Compositional Shape Editing through Language-Guid...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Slim, Habib Elhoseiny, Mohamed KAUST Thuwal Saudi Arabia
Editing 3D shapes through natural language instructions is a challenging task that requires the comprehension of both language semantics and fine-grained geometric details. To bridge this gap, we introduce ShapeWalk, ... 详细信息
来源: 评论
The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective
The Audio-Visual Conversational Graph: From an Egocentric-Ex...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jia, Wenqi Liu, Miao Jiang, Hao Ananthabhotla, Ishwarya Rehg, James M. Ithapu, Vamsi Krishna Gao, Ruohan Georgia Tech Atlanta GA 30332 USA Meta Real Labs Menlo Pk CA 94025 USA UIUC Champaign IL USA Meta GenAI Menlo Pk CA USA
In recent years, the thriving development of research related to egocentric videos has provided a unique perspective for the study of conversational interactions, where both visual and audio signals play a crucial rol... 详细信息
来源: 评论
Cross-view and Cross-pose Completion for 3D Human Understanding
Cross-view and Cross-pose Completion for 3D Human Understand...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Armando, Matthieu Galaaoui, Salma Baradel, Fabien Lucas, Thomas Leroy, Vincent Bregier, Romain Weinzaepfel, Philippe Rogez, Gregory NAVER LABS Europe Meylan France
Human perception and understanding is a major domain of computer vision which, like many other vision subdomains recently, stands to gain from the use of large models pre-trained on large datasets. We hypothesize that... 详细信息
来源: 评论