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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271-280 订阅
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Validating Privacy-Preserving Face recognition under a Minimum Assumption
Validating Privacy-Preserving Face Recognition under a Minim...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Hui Dong, Xingbo Lai, YenLung Zhou, Ying Zhang, Xiaoyan Lv, Xingguo Jin, Zhe Li, Xuejun Anhui Univ Anhui Prov Key Lab Secure Artificial Intelligence Hefei Anhui Peoples R China
The widespread use of cloud-based face recognition technology raises privacy concerns, as unauthorized access to face images can expose personal information or be exploited for fraudulent purposes. In response, privac... 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
Efficient Skeleton-Based Action recognition for Real-Time Embedded Systems
Efficient Skeleton-Based Action Recognition for Real-Time Em...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Noor, Nadhira Jametoni, Fabianaugie Kim, Jinbeom Hong, Hyunsu Park, In Kyu Inha Univ Dept Elect & Comp Engn Incheon 22212 South Korea Finedigital Inc Seongnam Si 13496 Gyeonggi Do South Korea
Action recognition is vital for various real-world applications, yet its implementation on embedded systems or edge devices faces challenges due to limited computing and memory resources. Our goal is to facilitate lig... 详细信息
来源: 评论
LowRankOcc: Tensor Decomposition and Low-Rank Recovery for vision-based 3D Semantic Occupancy Prediction
LowRankOcc: Tensor Decomposition and Low-Rank Recovery for V...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhao, Linqing Xu, Xiuwei Wang, Ziwei Zhang, Yunpeng Zhang, Borui Zheng, Wenzhao Du, Dalong Zhou, Jie Lu, Jiwen Tsinghua Univ Dept Automat Beijing Peoples R China Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China PhiGent Robot Beijing Peoples R China
In this paper, we present a tensor decomposition and low-rank recovery approach (LowRankOcc) for vision-based 3D semantic occupancy prediction. Conventional methods model outdoor scenes with fine-grained 3D grids, but... 详细信息
来源: 评论
3D Human Pose Perception from Egocentric Stereo Videos
3D Human Pose Perception from Egocentric Stereo Videos
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Akada, Hiroyasu Wang, Jian Golyanik, Vladislav Theobalt, Christian Max Planck Inst Informat SIC Saarbrucken Germany
While head-mounted devices are becoming more compact, they provide egocentric views with significant self-occlusions of the device user. Hence, existing methods often fail to accurately estimate complex 3D poses from ... 详细信息
来源: 评论
Language-only Efficient Training of Zero-shot Composed Image Retrieval
Language-only Efficient Training of Zero-shot Composed Image...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Gu, Geonmo Chun, Sanghyuk Kim, Wonjae Kang, Yoohoon Yun, Sangdoo NAVER Vis Seongnam South Korea NAVER AI Lab Bundangdong South Korea
Composed image retrieval (CIR) task takes a composed query of image and text, aiming to search relative images for both conditions. Conventional CIR approaches need a training dataset composed of triplets of query ima... 详细信息
来源: 评论
Revisiting Counterfactual Problems in Referring Expression Comprehension
Revisiting Counterfactual Problems in Referring Expression C...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yu, Zhihan Li, Ruifan Beijing Univ Posts & Telecommun Sch Artificial Intelligence Beijing Peoples R China
Traditional referring expression comprehension (REC) aims to locate the target referent in an image guided by a text query. Several previous methods have studied on the Counterfactual problem in REC (C-REC) where the ... 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
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-T...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Agiza, Ahmed Neseem, Marina Reda, Sherief Brown Univ Providence RI 02912 USA
Adapting models pre-trained on large-scale datasets to a variety of downstream tasks is a common strategy in deep learning. Consequently, parameter-efficient fine-tuning methods have emerged as a promising way to adap... 详细信息
来源: 评论
Sharingan: A Transformer Architecture for Multi-Person Gaze Following
Sharingan: A Transformer Architecture for Multi-Person Gaze ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Tafasca, Samy Gupta, Anshul Odobez, Jean-Marc Idiap Res Inst Martigny Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland
Gaze is a powerful form of non-verbal communication that humans develop from an early age. As such, modeling this behavior is an important task that can benefit a broad set of application domains ranging from robotics... 详细信息
来源: 评论