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检索条件"机构=Visual Intelligence and Systems Group in the Computer Vision Lab at ETH Zurich"
40 条 记 录,以下是1-10 订阅
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FrontierNet: Learning visual Cues to Explore
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IEEE Robotics and Automation Letters 2025年 第7期10卷 6576-6583页
作者: Sun, Boyang Chen, Hanzhi Leutenegger, Stefan Cadena, Cesar Pollefeys, Marc Blum, Hermann ETH Zurich Computer Vision and Geometry Group Zurich8092 Switzerland Technical University of Munich Mobile Robotics Lab München80333 Germany ETH Zurich Mobile Robotics Lab Zurich8092 Switzerland ETH Zurich Robotic Systems Lab Zurich8092 Switzerland AI Lab Microsoft Mixed Reality Zurich8038 Switzerland University of Bonn Lamarr Institute for ML and AI Robot Perception and Learning Lab Bonn53115 Germany
Exploration of unknown environments is crucial for autonomous robots;it allows them to actively reason and decide on what new data to acquire for different tasks, such as mapping, object discovery, and environmental a... 详细信息
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Learning Deep Sensorimotor Policies for vision-Based Autonomous Drone Racing
Learning Deep Sensorimotor Policies for Vision-Based Autonom...
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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)
作者: Jiawei Fu Yunlong Song Yan Wu Fisher Yu Davide Scaramuzza Department of Informatics Robotics and Perception Group University of Zurich Switzerland Department of Neuroinformatics University of Zurich and ETH Zurich Switzerland Visual Intelligence and Systems Group in the Computer Vision Lab ETH Zurich
The development of effective vision-based algorithms has been a significant challenge in achieving autonomous drones, which promise to offer immense potential for many real-world applications. This paper investigates ...
来源: 评论
Renovating Names in Open-Vocabulary Segmentation Benchmarks  38
Renovating Names in Open-Vocabulary Segmentation Benchmarks
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38th Conference on Neural Information Processing systems, NeurIPS 2024
作者: Huang, Haiwen Peng, Songyou Zhang, Dan Geiger, Andreas Bosch IoC Lab University of Tübingen Germany Tübingen AI Center Germany Autonomous Vision Group University of Tübingen Germany ETH Zurich Switzerland MPI for Intelligent Systems Tübingen Germany Bosch Center for Artificial Intelligence Germany
Names are essential to both human cognition and vision-language models. Open-vocabulary models utilize class names as text prompts to generalize to categories unseen during training. However, the precision of these na...
来源: 评论
Learning Deep Sensorimotor Policies for vision-based Autonomous Drone Racing
arXiv
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arXiv 2022年
作者: Fu, Jiawei Song, Yunlong Wu, Yan Yu, Fisher Scaramuzza, Davide Robotics and Perception Group Department of Informatics University of Zurich Department of Neuroinformatics University of Zurich ETH Zurich Switzerland Visual Intelligence and Systems Group in the Computer Vision Lab at ETH Zurich Switzerland
unstructured environments, enabling various real-world applications. However, the lack of effective vision-based algorithms has been a stumbling block to achieving this goal. Existing systems often require hand-engine... 详细信息
来源: 评论
Learning-based Relational Object Matching Across Views
Learning-based Relational Object Matching Across Views
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Cathrin Elich Iro Armeni Martin R. Oswald Marc Pollefeys Joerg Stueckler Embodied Vision Group Max Planck Institute for Intelligent Systems Tuebingen Germany Max Planck ETH Center for Learning Systems Computer Vision and Geometry Lab ETH Zurich Switzerland University of Amsterdam Netherlands Microsoft Mixed Reality and AI Lab Zurich Switzerland
Intelligent robots require object-level scene understanding to reason about possible tasks and interactions with the environment. Moreover, many perception tasks such as scene reconstruction, image retrieval, or place...
来源: 评论
Learning-based Relational Object Matching Across Views
arXiv
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arXiv 2023年
作者: Elich, Cathrin Armeni, Iro Oswald, Martin R. Pollefeys, Marc Stueckler, Joerg Embodied Vision Group Max Planck Institute for Intelligent Systems Tuebingen Germany The Max Planck ETH Center for Learning Systems The Computer Vision and Geometry Lab ETH Zurich Switzerland University of Amsterdam Netherlands Microsoft Mixed Reality and AI Lab Zurich Switzerland
Intelligent robots require object-level scene understanding to reason about possible tasks and interactions with the environment. Moreover, many perception tasks such as scene reconstruction, image retrieval, or place... 详细信息
来源: 评论
Renovating Names in Open-Vocabulary Segmentation Benchmarks
arXiv
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arXiv 2024年
作者: Huang, Haiwen Peng, Songyou Zhang, Dan Geiger, Andreas Bosch IoC Lab University of Tübingen Germany Tübingen AI Center Germany Autonomous Vision Group University of Tübingen Germany ETH Zurich Switzerland MPI for Intelligent Systems Tübingen Germany Bosch Center for Artificial Intelligence
Names are essential to both human cognition and vision-language models. Open-vocabulary models utilize class names as text prompts to generalize to categories unseen during training. However, the precision of these na...
来源: 评论
LocalViT: Analyzing Locality in vision Transformers
LocalViT: Analyzing Locality in Vision Transformers
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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)
作者: Yawei Li Kai Zhang Jiezhang Cao Radu Timofte Michele Magno Luca Benini Luc Van Goo Computer Vision Lab D-ITET ETH Zurich Switzerland Center for Artificial Intelligence and Data Science (CAIDAS) University of Wurzburg Germany Center for Project-Based Learning D-ITET ETH Zurich Switzerland Integrated Systems Laboratory D-ITET ETH Zurich Switzerland Department of Electrical Electronic and Information Engineering University of Bologna Italy Processing Speech and Images (PSI) KU Leuven Belgium
The aim of this paper is to study the influence of locality mechanisms in vision transformers. Transformers originated from machine translation and are particularly good at modelling long-range dependencies within a l...
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A Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the Wild
arXiv
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arXiv 2023年
作者: Sun, Lei Gehrig, Daniel Sakaridis, Christos Gehrig, Mathias Liang, Jingyun Sun, Peng Xu, Zhijie Wang, Kaiwei Van Gool, Luc Scaramuzza, Davide National Research Center for Optical Instrumentation Zhejiang University Hangzhou310027 China Robotics and Perception Group University of Zurich Zurich8050 Switzerland Computer Vision Lab ETH Zurich Zurich8092 Switzerland Centre for Visual and Immersive Computing Huddersfield University HD1 3DH United Kingdom INSAIT Sofia University "St. Kliment Ohridski" Bulgaria
Effective video frame interpolation hinges on the adept handling of motion in the input scene. Prior work acknowledges asynchronous event information for this, but often overlooks whether motion induces blur in the vi... 详细信息
来源: 评论
Object Finding in Cluttered Scenes Using Interactive Perception
Object Finding in Cluttered Scenes Using Interactive Percept...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Tonci Novkovic Remi Pautrat Fadri Furrer Michel Breyer Roland Siegwart Juan Nieto Autonomous Systems Lab ETH Zurich Switzerland Computer Vision and Geometry Group ETH Zurich Switzerland
Object finding in clutter is a skill that requires perception of the environment and in many cases physical interaction. In robotics, interactive perception defines a set of algorithms that leverage actions to improve... 详细信息
来源: 评论