Results 21 to 30 of about 1,194,241 (312)
Optically Programmable Living Microrouter in Vivo
Advanced Science, 2023 With high reconfigurability and swarming intelligence, programmable medical micromachines (PMMs) represent a revolution in microrobots for executing complex coordinated tasks, especially for dynamic routing of various targets along their respective ...
Xiaoshuai Liu +7 more
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Learning dexterous in-hand manipulation [PDF]
Int. J. Robotics Res., 2018 We use reinforcement learning (RL) to learn dexterous in-hand manipulation policies that can perform vision-based object reorientation on a physical Shadow Dexterous Hand. The training is performed in a simulated environment in which we randomize many of
Marcin Andrychowicz +15 more
semanticscholar +1 more source
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation [PDF]
Computer Vision and Pattern Recognition, 2021 Recently, GAN inversion methods combined with Contrastive Language-Image Pretraining (CLIP) enables zeroshot image manipulation guided by text prompts.
Gwanghyun Kim +2 more
semanticscholar +1 more source
Journal of Economic Theory, 2004 The authors consider some kind of manipulative strategic trading performed by informed insiders. The possibility of manipulative trading is investigated in a Glosten-Milgrom type of the dynamic bid-ask model. The market for one risky and one riskless asset and with one trader is considered.
Chakraborty, Archishman, Yilmaz, Bilge
openaire +3 more sources
Advanced Science, 2023 Contamination of nano‐biothreats, such as viruses, mycoplasmas, and pathogenic bacteria, is widespread in cell cultures and greatly threatens many cell‐based bio‐analysis and biomanufacturing. However, non‐invasive trapping and removal of such biothreats
Jianyun Xiong +9 more
doaj +1 more source
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation [PDF]
Computer Vision and Pattern Recognition, 2019 Facial image manipulation has achieved great progress in recent years. However, previous methods either operate on a predefined set of face attributes or leave users little freedom to interactively manipulate images.
Cheng-Han Lee +3 more
semanticscholar +1 more source
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2021 To defend against manipulation of image content, such as splicing, copy-move, and removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to detect and localize image manipulations.
Xiaohong Liu +3 more
semanticscholar +1 more source
Detecting and Grounding Multi-Modal Media Manipulation [PDF]
Computer Vision and Pattern Recognition, 2023 Misinformation has become a pressing issue. Fake media, in both visual and textual forms, is widespread on the web. While various deepfake detection and text fake news detection methods have been proposed, they are only designed for single-modality ...
Rui Shao, Tianxing Wu, Ziwei Liu
semanticscholar +1 more source
Physics-data-driven intelligent optimization for large-aperture metalenses
Opto-Electronic Advances, 2023 Metalenses have gained significant attention and have been widely utilized in optical systems for focusing and imaging, owing to their lightweight, high-integration, and exceptional-flexibility capabilities.
Yingli Ha +11 more
doaj +1 more source
A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation
Italian National Conference on Sensors, 2023 Robotic manipulation challenges, such as grasping and object manipulation, have been tackled successfully with the help of deep reinforcement learning systems.
Dong-Ki Han +3 more
semanticscholar +1 more source