• SportsCap

  • Referenced in 1 article [sw40782]
  • SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding ... Challenging Sports Videos. Markerless motion capture and understanding of professional non-daily human movements ... approach for simultaneously capturing 3D human motions and understanding fine-grained actions from monocular challenging ... embedding space for motion capture and understanding in a data-driven multi-task manner...
  • Social GAN

  • Referenced in 2 articles [sw39577]
  • Acceptable Trajectories with Generative Adversarial Networks. Understanding human motion behavior is critical for autonomous moving...
  • 6DMG

  • Referenced in 2 articles [sw15488]
  • interactions. To achieve more robust user-independent motion gesture recognition in a manner analogous ... recognition, we need a deeper understanding of the motions in gesture, which arouses the need...
  • SUPG

  • Referenced in 31 articles [sw08373]
  • electrochemical transport problems. Electrophoresis is the motion of charged particles relative to the surrounding liquid ... simulation of electrophoretic transport enables a better understanding of the physicochemical processes developed during...
  • MAVEN

  • Referenced in 2 articles [sw35124]
  • MAVENs: motion analysis and visualization of elastic networks and structural ensembles. Results: Our new software ... further aid the user in understanding the computed motions and their importance for its function...
  • VIBE

  • Referenced in 1 article [sw40787]
  • Pose and Shape Estimation. Human motion is fundamental to understanding behavior. Despite progress on single ... methods fail to produce accurate and natural motion sequences due to a lack of ground...
  • UDEC

  • Referenced in 18 articles [sw07904]
  • applied to any case where an understanding of the two-dimensional response of such structures ... treated as boundary conditions between blocks; Relative motion along the discontinuities governed by linear...
  • iPPBS-Opt

  • Referenced in 16 articles [sw22428]
  • binding sites is indispensable for in-depth understanding of the networks in living cells. With ... elucidated with their low-frequency internal motions. To maximize the convenience of most experimental scientists...
  • Maxwell

  • Referenced in 5 articles [sw23881]
  • precisely characterize the nonlinear, transient motion of electromechanical components and their effects on the drive ... circuit and systems simulation technology, you can understand the performance of electromechanical systems long before...
  • averaging

  • Referenced in 4 articles [sw38869]
  • equations in (mathbb{R}^n) with Lévy motion, using an integral transform method. We obtain ... original equation. Our results provide a better understanding for effective approximation of fractional dynamical systems...
  • CAVER

  • Referenced in 1 article [sw20702]
  • single static structure is needed for understanding the function of pathways. The identification and analysis ... diversity of macromolecular shapes, the thermal motion of their atoms, and the large amount...
  • ApolloScape

  • Referenced in 6 articles [sw36630]
  • self-localization, parsing the driving road and understanding objects, which enable vehicles to reason ... fusion scheme integrating camera videos, consumer-grade motion sensors (GPS/IMU), and a 3D semantic...
  • pdFOAM

  • Referenced in 2 articles [sw24956]
  • code for near-Earth plasma-body interactions. Understanding the interaction of the near-Earth space ... effect of the ionosphere on the motion of LEO objects, i.e., ionospheric aerodynamics. This paper...
  • Symbulate

  • Referenced in 1 article [sw30830]
  • consistency with the mathematics of probability reinforces understanding of probabilistic concepts. Symbulate can be used ... Poisson processes; and Gaussian processes, including Brownian motion. In this work, we demonstrate Symbulate, discuss...
  • Teetool

  • Referenced in 1 article [sw27259]
  • Python package which models and visualises motion patterns found in two- and three-dimensional trajectory ... confidence region is useful in obtaining an understanding of, or quantifying, dispersion in trajectory data...
  • GestureAnalyzer

  • Referenced in 0 articles [sw36520]
  • interactions. A common method to observe and understand how users express gestures ... detail as in data-based representations of motion features. In this paper, we present GestureAnalyzer...
  • ModelFactory

  • Referenced in 1 article [sw26469]
  • based analysis of movements can help better understand human motor control. Here, the models represent ... addition of body landmarks, and addition of motion capture markers. Users can set up custom...
  • PhET

  • Referenced in 0 articles [sw07394]
  • phenomena and the underlying science, deepening their understanding and appreciation of the physical world ... relationships as well as multiple linked representations (motion of the objects, graphs, number readouts...
  • CGAL

  • Referenced in 394 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • Matlab

  • Referenced in 13544 articles [sw00558]
  • MATLAB® is a high-level language and interactive...