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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221-230 订阅
排序:
Building vision-Language Models on Solid Foundations with Masked Distillation
Building Vision-Language Models on Solid Foundations with Ma...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sameni, Sepehr Kafle, Kushal Tan, Hao Jenni, Simon Univ Bern Bern Switzerland Adobe Res San Jose CA USA
Recent advancements in vision-Language Models (VLMs) have marked a significant leap in bridging the gap between computer vision and natural language processing. However, traditional VLMs, trained through contrastive l... 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
ENTIRe-ID: An Extensive and Diverse Dataset for Person Re-Identification  18
ENTIRe-ID: An Extensive and Diverse Dataset for Person Re-Id...
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18th International conference on Automatic Face and Gesture recognition (FG)
作者: Yildiz, Serdar Kasim, Ahmet Nezih Yildiz Tech Univ Dept Comp Engn Istanbul Turkiye Bogazici Univ Dept Comp Engn Istanbul Turkiye TUBITAK BILGEM Kocaeli Turkiye
The growing importance of person re-identification in computer vision has highlighted the need for more extensive and diverse datasets. In response, we introduce the ENTIRe-ID dataset, an extensive collection comprisi... 详细信息
来源: 评论
Importance is in your attention: agent importance prediction for autonomous driving
Importance is in your attention: agent importance prediction...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hazard, Christopher Bhagat, Akshay Buddharaju, Balarama Raju Liu, Zhongtao Shao, Yunming Lu, Lu Omari, Sammy Cui, Henggang Motional Boston MA 02210 USA
Trajectory prediction is an important task in autonomous driving. State-of-the-art trajectory prediction models often use attention mechanisms to model the interaction between agents. In this paper, we show that the a... 详细信息
来源: 评论
Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models
Generative Rendering: Controllable 4D-Guided Video Generatio...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cai, Shengqu Ceylan, Duygu Gadelha, Matheus Huang, Chun-Hao Paul Wang, Tuanfeng Yang Wetzstein, Gordon Stanford Univ Stanford CA 94305 USA Adobe Res San Francisco CA USA
Traditional 3D content creation tools empower users to bring their imagination to life by giving them direct control over a scene's geometry, appearance, motion, and camera path. Creating computer-generated videos... 详细信息
来源: 评论
PeVL: Pose-Enhanced vision-Language Model for Fine-Grained Human Action recognition
PeVL: Pose-Enhanced Vision-Language Model for Fine-Grained H...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Haosong Leong, Mei Chee Li, Liyuan Lin, Weisi Nanyang Technol Univ Inst Infocomm Res I2R A STAR Singapore Singapore
Recent progress in vision-Language (VL) foundation models has revealed the great advantages of cross-modality learning. However, due to a large gap between vision and text, they might not be able to sufficiently utili... 详细信息
来源: 评论
OOSTraj: Out-of-Sight Trajectory Prediction With vision-Positioning Denoising
OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Posi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Haichao Xu, Yi Lu, Hongsheng Shimizu, Takayuki Fu, Yun Northeastern Univ 360 Huntington Ave Boston MA 02115 USA Toyota Motor North Amer 465 N Bernardo Ave Mountain View CA 94043 USA
Trajectory prediction is fundamental in computer vision and autonomous driving, particularly for understanding pedestrian behavior and enabling proactive decision-making. Existing approaches in this field often assume... 详细信息
来源: 评论
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in vision-Language Models with Counterfactual Examples
SocialCounterfactuals: Probing and Mitigating Intersectional...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Howard, Phillip Madasu, Avinash Le, Tiep Moreno, Gustavo Lujan Bhiwandiwalla, Anahita Lal, Vasudev Intel Labs Santa Clara CA 95052 USA
While vision-language models (VLMs) have achieved remarkable performance improvements recently, there is growing evidence that these models also posses harmful biases with respect to social attributes such as gender a... 详细信息
来源: 评论
LLaFS: When Large Language Models Meet Few-Shot Segmentation
LLaFS: When Large Language Models Meet Few-Shot Segmentation
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhu, Lanyun Chen, Tianrun Ji, Deyi Ye, Jieping Liu, Jun Singapore Univ Technol & Design Singapore Singapore Zhejiang Univ Hangzhou Peoples R China Alibaba Grp Hangzhou Peoples R China
This paper proposes LLaFS, the first attempt to leverage large language models (LLMs) in few-shot segmentation. In contrast to the conventional few-shot segmentation methods that only rely on the limited and biased in... 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