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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23241 条 记 录,以下是211-220 订阅
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
ELSA: Exploiting Layer-wise N:M Sparsity for vision Transformer Acceleration
ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transfor...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Huang, Ning-Chi Chang, Chi-Chih Lin, Wei-Cheng Taka, Endri Marculescu, Diana Wu, Kai-Chiang Natl Yang Ming Chiao Tung Univ Hsinchu Taiwan Univ Texas Austin Austin TX USA
N:M sparsity is an emerging model compression method supported by more and more accelerators to speed up sparse matrix multiplication in deep neural networks. Most existing N:M sparsity methods compress neural network... 详细信息
来源: 评论
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetr...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Turki, Haithem Agrawal, Vasu Bulo, Samuel Rota Porzi, Lorenzo Kontschieder, Peter Ramanan, Deva Zollhofer, Michael Richardt, Christian Meta Real Labs Menlo Pk CA 94025 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA
Neural radiance fields provide state-of-the-art view synthesis quality but tend to be slow to render. One reason is that they make use of volume rendering, thus requiring many samples (and model queries) per ray at re... 详细信息
来源: 评论
Exploring the Zero-Shot Capabilities of vision-Language Models for Improving Gaze Following
Exploring the Zero-Shot Capabilities of Vision-Language Mode...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gupta, Anshul Vuillecard, Pierre Farkhondeh, Arya Odobez, Jean-Marc Idiap Res Inst Martigny Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland
Contextual cues related to a person's pose and interactions with objects and other people in the scene can provide valuable information for gaze following. While existing methods have focused on dedicated cue extr... 详细信息
来源: 评论
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
AIGeN: An Adversarial Approach for Instruction Generation in VLN
AIGeN: An Adversarial Approach for Instruction Generation in...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Rawal, Niyati Bigazzi, Roberto Baraldi, Lorenzo Cucchiara, Rita Univ Modena & Reggio Emilia Modena Italy
In the last few years, the research interest in vision-and-Language Navigation (VLN) has grown significantly. VLN is a challenging task that involves an agent following human instructions and navigating in a previousl... 详细信息
来源: 评论
Boosting Continual Learning of vision-Language Models via Mixture-of-Experts Adapters
Boosting Continual Learning of Vision-Language Models via Mi...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yu, Jiazuo Zhuge, Yunzhi Zhang, Lu Hu, Ping Wang, Dong Lu, Huchuan He, You Dalian Univ Technol Dalian Peoples R China Univ Elect Sci & Technol China Chengdu Peoples R China Tsinghua Univ Beijing Peoples R China
Continual learning can empower vision-language models to continuously acquire new knowledge, without the need for access to the entire historical dataset. However, mitigating the performance degradation in large-scale... 详细信息
来源: 评论
Compositional Chain-of-Thought Prompting for Large Multimodal Models
Compositional Chain-of-Thought Prompting for Large Multimoda...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Mitra, Chancharik Huang, Brandon Darrell, Trevor Herzig, Roei Univ Calif Berkeley Berkeley CA 94720 USA
The combination of strong visual backbones and Large Language Model (LLM) reasoning has led to Large Multimodal Models (LMMs) becoming the current standard for a wide range of vision and language (VL) tasks. However, ... 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
Pseudo-label based unsupervised fine-tuning of a monocular 3D pose estimation model for sports motions
Pseudo-label based unsupervised fine-tuning of a monocular 3...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Suzuki, Tomohiro Tanaka, Ryota Takeda, Kazuya Fujii, Keisuke Nagoya Univ Nagoya Aichi Japan
Accurate motion capture is useful for sports motion analysis, but requires higher acquisition costs. Monocular or few camera multi-view pose estimation provides an accessible but less accurate alternative, especially ... 详细信息
来源: 评论