Results 11 to 20 of about 8,295,200 (335)
DSPose: Dual-Space-Driven Keypoint Topology Modeling for Human Pose Estimation [PDF]
Sensors, 2023 Human pose estimation is the basis of many downstream tasks, such as motor intervention, behavior understanding, and human–computer interaction. The existing human pose estimation methods rely too much on the similarity of keypoints at the image feature ...
Anran Zhao +4 more
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Separable dual-space Gaussian pseudopotentials. [PDF]
Physical Review B, 1995 We present pseudopotential coefficients for the first two rows of the Periodic Table. The pseudopotential is of an analytic form that gives optimal efficiency in numerical calculations using plane waves as a basis set.
S. Goedecker +3 more
semanticscholar +5 more sources
Relativistic separable dual-space Gaussian pseudopotentials from H to Rn [PDF]
Physical Review B, 1998 We generalize the concept of separable dual-space Gaussian pseudopotentials to the relativistic case. This allows us to construct this type of pseudopotential for the whole Periodic Table, and we present a complete table of pseudopotential parameters for
C. Hartwigsen, S. Goedecker, J. Hutter
semanticscholar +3 more sources
Detumbling strategy based on friction control of dual-arm space robot for capturing tumbling target
Chinese Journal of Aeronautics, 2020 The rotational motion of a tumbling target brings great challenges to space robot on successfully capturing the tumbling target. Therefore, it is necessary to reduce the target’s rotation to a rate at which capture can be accomplished by the space robot.
Gang Chen +5 more
semanticscholar +3 more sources
On Relative Reproducing Kernel Banach Spaces: Definitions, Semi-Inner Product and Feature Maps [PDF]
Sahand Communications in Mathematical Analysis, 2023 In this paper, a special class of relative reproducing kernel Banach spaces a semi-inner product is studied. We extend the concept of relative reproducing kernel Hilbert spaces to Banach spaces. We present these relative reproducing kernel Banach spaces
Mohammadreza Foroutan
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A dual‐space multilevel kernel‐splitting framework for discrete and continuous convolution [PDF]
Communications on Pure and Applied Mathematics, 2023 We introduce a new class of multilevel, adaptive, dual‐space methods for computing fast convolutional transformations. These methods can be applied to a broad class of kernels, from the Green's functions for classical partial differential equations (PDEs)
L. Greengard, Shidong Jiang
semanticscholar +1 more source
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing [PDF]
Computer Vision and Pattern Recognition, 2022 Recent advances like StyleGAN have promoted the growth of controllable facial editing. To address its core challenge of attribute decoupling in a single latent space, attempts have been made to adopt dual-space GAN for better disentanglement of style and
Yanbo Xu +7 more
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Dual Space Graph Contrastive Learning [PDF]
The Web Conference, 2022 Unsupervised graph representation learning has emerged as a powerful tool to address real-world problems and achieves huge success in the graph learning domain.
Haoran Yang +5 more
semanticscholar +1 more source
Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces [PDF]
International Conference on 3D Vision, 2022 Modeling the human body in a canonical space is a common practice for capturing and animation. But when involving the neural radiance field (NeRF), learning a static NeRF in the canonical space is not enough because the lighting of the body changes when ...
Yihao Zhi +3 more
semanticscholar +1 more source
Cumhuriyet Science Journal, 2023 In this study, we first investigate the intersection of two different ruled surfaces in R^3 for two different tangential spherical indicatrix curves on DS^2 using the E. Study mapping.
Yunus Öztemir, Mustafa Çalışkan
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