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检索条件"任意字段=2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022"
3917 条 记 录,以下是61-70 订阅
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Interpreting COVID Lateral Flow Tests' Results with Foundation Models
Interpreting COVID Lateral Flow Tests' Results with Foundati...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Pandey, Stuti Myers-Dean, Josh Reynolds, Jarek Gurari, Danna Univ Colorado Boulder CO 80309 USA Univ Texas Austin Austin TX 78712 USA
Lateral flow tests (LFTs) enable rapid, low-cost testing for health conditions including Covid, pregnancy, HIV, and malaria. Automated readers of LFT results can yield many benefits including empowering blind people t... 详细信息
来源: 评论
vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
Vision-Language Pseudo-Labels for Single-Positive Multi-Labe...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xing, Xin Xiong, Zhexiao Stylianou, Abby Sastry, Srikumar Gong, Liyu Jacobs, Nathan Univ Nebraska Omaha Omaha NE 68182 USA Washington Univ St Louis St Louis MO USA St Louis Univ St Louis MO USA Oracle Inc Austin TX USA
We study a limited label problem and present a novel approach to Single-Positive Multi-label Learning. In the multi-label learning setting, a model learns to predict multiple labels or categories for a single input im... 详细信息
来源: 评论
A Perspective on Deep vision Performance with Standard Image and Video Codecs
A Perspective on Deep Vision Performance with Standard Image...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Reich, Christoph Hahn, Oliver Cremers, Daniel Roth, Stefan Debnath, Biplob Tech Univ Darmstadt Darmstadt Germany Tech Univ Munich Munich Germany NEC Labs Amer Inc San Jose CA 95110 USA Hessian Ctr AI Hessian AI Darmstadt Germany Munich Ctr Machine Learning MCML Munich Germany
Resource-constrained hardware, such as edge devices or cell phones, often rely on cloud servers to provide the required computational resources for inference in deep vision models. However, transferring image and vide... 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
One Embedding to Predict Them All: Visible and Thermal Universal Face Representations for Soft Biometric Estimation via vision Transformers
One Embedding to Predict Them All: Visible and Thermal Unive...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Mirabet-Herranz, Nelida Galdi, Chiara Dugelay, Jean-Luc EURECOM Campus SophiaTech450 Route Chappes F-06410 Biot France
Human faces encode a vast amount of information including not only uniquely distinctive features of the individual but also demographic information such as a person's age, gender, and weight. Such information is r... 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
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis
Enhancing Traffic Safety with Parallel Dense Video Captionin...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shoman, Maged Wang, Dongdong Aboah, Armstrong Abdel-Aty, Mohamed Univ Cent Florida Dept Civil Environm & Construct Engn Smart & Safe Transportat SST Lab Orlando FL 32816 USA North Dakota State Univ Dept Civil Construct & Environm Engn Fargo ND USA Univ Cent Florida Joint Appointment Dept Comp Sci Dept Civil Environm & Construct Engn Smart & Safe Transportat SST Lab Orlando FL USA
This paper introduces our solution for Track 2 in AI City Challenge 2024. The task aims to solve traffic safety description and analysis with the dataset of Woven Traffic Safety (WTS), a real-world Pedestrian-Centric ... 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
VMRNN: Integrating vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting
VMRNN: Integrating Vision Mamba and LSTM for Efficient and A...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Tang, Yujin Dong, Peijie Tang, Zhenheng Chu, Xiaowen Liang, Junwei Hong Kong Univ Sci & Technol Guangzhou AI Thrust Guangzhou Peoples R China Hong Kong Univ Sci & Technol Guangzhou DSA Thrust Guangzhou Peoples R China Hong Kong Baptist Univ Dept Comp Sci Hong Kong Peoples R China Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Hong Kong Peoples R China
Combining Convolutional Neural Networks (CNNs) or vision Transformers(ViTs) with Recurrent Neural Networks (RNNs) for spatiotemporal forecasting has yielded unparalleled results in predicting temporal and spatial dyna... 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