Zobrazeno 1 - 10
of 10 606
pro vyhledávání: '"Christen, P"'
The problem of identifying to which of a given set of classes objects belong is ubiquitous, occurring in many research domains and application areas, including medical diagnosis, financial decision making, online commerce, and national security. But
Externí odkaz:
http://arxiv.org/abs/2409.12391
Autor:
Tao, Max, Larocque, Hugo, Gyger, Samuel, Colangelo, Marco, Medeiros, Owen, Christen, Ian, Sattari, Hamed, Choong, Gregory, Petremand, Yves, Prieto, Ivan, Yu, Yang, Steinhauer, Stephan, Leake, Gerald L., Coleman, Daniel J., Ghadimi, Amir H., Fanto, Michael L., Zwiller, Val, Englund, Dirk, Errando-Herranz, Carlos
Detecting non-classical light is a central requirement for photonics-based quantum technologies. Unrivaled high efficiencies and low dark counts have positioned superconducting nanowire single photon detectors (SNSPDs) as the leading detector technol
Externí odkaz:
http://arxiv.org/abs/2409.08412
We present EgoHDM, an online egocentric-inertial human motion capture (mocap), localization, and dense mapping system. Our system uses 6 inertial measurement units (IMUs) and a commodity head-mounted RGB camera. EgoHDM is the first human mocap system
Externí odkaz:
http://arxiv.org/abs/2409.00343
Autor:
Christen, J. A., Rubio, F. J.
We propose a parametric hazard model obtained by enforcing positivity in the damped harmonic oscillator. The resulting model has closed-form hazard and cumulative hazard functions, facilitating likelihood and Bayesian inference on the parameters. We
Externí odkaz:
http://arxiv.org/abs/2408.15964
We present a method for controlling a simulated humanoid to grasp an object and move it to follow an object trajectory. Due to the challenges in controlling a humanoid with dexterous hands, prior methods often use a disembodied hand and only consider
Externí odkaz:
http://arxiv.org/abs/2407.11385
The Magnetic Resonance Fingerprinting (MRF) approach aims to estimate multiple MR or physiological parameters simultaneously with a single fast acquisition sequence. Most of the MRF studies proposed so far have used simple MR sequence types to measur
Externí odkaz:
http://arxiv.org/abs/2407.10512
Autor:
Albaba, Mert, Christen, Sammy, Gebhardt, Christoph, Langarek, Thomas, Black, Michael J., Hilliges, Otmar
Reinforcement Learning has achieved significant success in generating complex behavior but often requires extensive reward function engineering. Adversarial variants of Imitation Learning and Inverse Reinforcement Learning offer an alternative by lea
Externí odkaz:
http://arxiv.org/abs/2406.08472
Autor:
Christen, J Andres
I present all the details in calculating the posterior distribution of the conjugate Normal-Gamma prior in Bayesian Linear Models (BLM), including correlated observations, prediction, model selection and comments on efficient numeric implementations.
Externí odkaz:
http://arxiv.org/abs/2406.01819
Autor:
Millerdurai, Christen, Akada, Hiroyasu, Wang, Jian, Luvizon, Diogo, Theobalt, Christian, Golyanik, Vladislav
Monocular egocentric 3D human motion capture is a challenging and actively researched problem. Existing methods use synchronously operating visual sensors (e.g. RGB cameras) and often fail under low lighting and fast motions, which can be restricting
Externí odkaz:
http://arxiv.org/abs/2404.08640
Human hands possess the dexterity to interact with diverse objects such as grasping specific parts of the objects and/or approaching them from desired directions. More importantly, humans can grasp objects of any shape without object-specific skills.
Externí odkaz:
http://arxiv.org/abs/2403.19649