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检索条件"机构=Computer Vision and Robotics Institute"
469 条 记 录,以下是331-340 订阅
排序:
Partially calibrated semi-generalized pose from hybrid point correspondences
arXiv
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arXiv 2022年
作者: Bhayani, Snehal Larsson, Viktor Sattler, Torsten Heikkilä, Janne Kukelova, Zuzana Center for Machine Vision and Signal Analysis University of Oulu Finland Czech Institute of Informatics Robotics and Cybernetics Czech Technical University Prague Czech Republic Computer Vision and Geometry Group Department of Computer Science ETH Zürich Switzerland Visual Recognition Group Faculty of Electrical Engineering Czech Technical University Prague Czech Republic
In this paper we study the problem of estimating the semi-generalized pose of a partially calibrated camera, i.e., the pose of a perspective camera with unknown focal length w.r.t. a generalized camera, from a hybrid ... 详细信息
来源: 评论
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion
arXiv
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arXiv 2024年
作者: Zeng, Yu Zhang, Yang Liu, Jiachen Shen, Linlin Deng, Kaijun He, Weizhao Wang, Jinbao Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University China Shenzhen Institute of Artificial Intelligence and Robotics for Society China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Guangdong Provincial Key Laboratory of Intelligent Information Processing China
Hair editing is a critical image synthesis task that aims to edit hair color and hairstyle using text descriptions or reference images, while preserving irrelevant attributes (e.g., identity, background, cloth). Many ... 详细信息
来源: 评论
Learning Context-Based Non-local Entropy Modeling for Image Compression
arXiv
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arXiv 2020年
作者: Timofte, Radu Zhang, David Zuo, Wangmeng Zhang, Kai Li, Mu School of Science and Engineering Chinese University of Hong Kong ShenzhenGuangdong518172 China Computer Vision Laboratory ETH Zurich Zurich Switzerland School of Computer Science and Technology Harbin Institute of Technology Harbin150001 China Shenzhen Research Institute of Big Data Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China
The entropy of the codes usually serves as the rate loss in the recent learned lossy image compression methods. Precise estimation of the probabilistic distribution of the codes plays a vital role in the performance. ... 详细信息
来源: 评论
Research on Neural Networks Integration for Object Classification in Video Analysis Systems
Research on Neural Networks Integration for Object Classific...
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International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
作者: Ivan Fomin Vladislav Burin Aleksandr Bakhshiev Computer vision lab Russian State Scientific Center for Robotics and Technical Cybernetics Saint-Petersburg Russia Institute of Metallurgy Mechanical Engineering and Transport Peter the Great St.Petersburg Polytechnic University Saint-Petersburg Russia
Object recognition with the help of outdoor video surveillance cameras is an important task in the context of ensuring the security at enterprises, public places and even private premises. There have long existed syst...
来源: 评论
Attention-driven dynamic graph convolutional network for multi-label image recognition
arXiv
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arXiv 2020年
作者: Ye, Jin He, Junjun Peng, Xiaojiang Wu, Wenhao Qiao, Yu ShenZhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China School of Biomedical Engineering Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China
Recent studies often exploit Graph Convolutional Network (GCN) to model label dependencies to improve recognition accuracy for multi-label image recognition. However, constructing a graph by counting the label co-occu... 详细信息
来源: 评论
TextTopicNet - Self-supervised learning of visual features through embedding images on semantic text spaces
arXiv
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arXiv 2018年
作者: Patel, Yash Gomez, Lluis Gomez, Raul Rusiñol, Marçal Karatzas, Dimosthenis Jawahar, C.V. Robotics Institute Carnegie Mellon University PA United States CVIT KCIS IIIT Hyderabad India Computer Vision Center Universitat Autonoma de Barcelona Spain Eurecat Centre Tecnolgic de Catalunya Barcelona Spain
The immense success of deep learning based methods in computer vision heavily relies on large scale training datasets. These richly annotated datasets help the network learn discriminative visual features. Collecting ... 详细信息
来源: 评论
UniTSFace: unified threshold integrated sample-to-sample loss for face recognition  23
UniTSFace: unified threshold integrated sample-to-sample los...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Qiufu Li Xi Jia Jiancan Zhou Linlin Shen Jinming Duan National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China and Computer Vision Institute Shenzhen University China and SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China and Computer Vision Institute Shenzhen University China and School of Computer Science University of Birmingham UK National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China and Computer Vision Institute Shenzhen University China and Aqara Lumi United Technology Co. Ltd China School of Computer Science University of Birmingham UK and Alan Turing Institute UK
Sample-to-class-based face recognition models can not fully explore the cross-sample relationship among large amounts of facial images, while sample-to-sample-based models require sophisticated pairing processes for t...
来源: 评论
Scalable temporal interest points for abstraction and classification of video events
Scalable temporal interest points for abstraction and classi...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Seung-Hoon Han ln-So Kweon Digital Media R&D Center Samsung Electronics Company Limited South Korea Robotics and Computer Vision Laboratory Division of Electrical Engineering Department of EECS Korea Advanced Institute of Science and Technology South Korea
The image sequence of a static scene includes similar or redundant information over time. Hence, motion-discontinuous instants can efficiently characterize a video shot or event. However, such instants (key frames) ar... 详细信息
来源: 评论
Calibrated and partially calibrated semi-generalized homographies
arXiv
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arXiv 2021年
作者: Bhayani, Snehal Sattler, Torsten Barath, Daniel Beliansky, Patrik Heikkilä, Janne Kukelova, Zuzana Center for Machine Vision and Signal Analysis University of Oulu Finland Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Computer Vision and Geometry Group Department of Computer Science ETH Zürich Faculty of Mathematics and Physics Charles University Prague Czech Republic Visual Recognition Group Faculty of Electrical Engineering Czech Technical University in Prague
In this paper, we propose the first minimal solutions for estimating the semi-generalized homography given a perspective and a generalized camera. The proposed solvers use five 2D-2D image point correspondences induce... 详细信息
来源: 评论
Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose Estimation
arXiv
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arXiv 2024年
作者: Peng, Qucheng Zheng, Ce Ding, Zhengming Wang, Pu Chen, Chen Center for Research in Computer Vision University of Central Florida Orlando United States Robotics Institute Carnegie Mellon University Pittsburgh United States Department of Computer Science Tulane University New Orleans United States University of North Carolina at Charlotte Charlotte United States
Human pose estimation (HPE) has received increasing attention recently due to its wide application in motion analysis, virtual reality, healthcare, etc. However, it suffers from the lack of labeled diverse real-world ... 详细信息
来源: 评论