Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Zhai, Albert"'
Autor:
Sharma, Ansh, Xiao, Albert, Rathi, Praneet, Kundu, Rohit, Zhai, Albert, Shen, Yuan, Wang, Shenlong
In this work, we present a novel method for extensive multi-scale generative terrain modeling. At the core of our model is a cascade of superresolution diffusion models that can be combined to produce consistent images across multiple resolutions. Pa
Externí odkaz:
http://arxiv.org/abs/2409.01491
Autor:
Zhai, Albert J., Shen, Yuan, Chen, Emily Y., Wang, Gloria X., Wang, Xinlei, Wang, Sheng, Guan, Kaiyu, Wang, Shenlong
Can computers perceive the physical properties of objects solely through vision? Research in cognitive science and vision science has shown that humans excel at identifying materials and estimating their physical properties based purely on visual app
Externí odkaz:
http://arxiv.org/abs/2404.04242
Semantic 3D mapping, the process of fusing depth and image segmentation information between multiple views to build 3D maps annotated with object classes in real-time, is a recent topic of interest. This paper highlights the fusion overconfidence pro
Externí odkaz:
http://arxiv.org/abs/2311.10018
Autor:
Shen, Yuan, Chandaka, Bhargav, Lin, Zhi-hao, Zhai, Albert, Cui, Hang, Forsyth, David, Wang, Shenlong
We present Sim-on-Wheels, a safe, realistic, and vehicle-in-loop framework to test autonomous vehicles' performance in the real world under safety-critical scenarios. Sim-on-wheels runs on a self-driving vehicle operating in the physical world. It cr
Externí odkaz:
http://arxiv.org/abs/2306.08807
Autor:
Zhai, Albert J., Wang, Shenlong
Efficient ObjectGoal navigation (ObjectNav) in novel environments requires an understanding of the spatial and semantic regularities in environment layouts. In this work, we present a straightforward method for learning these regularities by predicti
Externí odkaz:
http://arxiv.org/abs/2212.02497
It is challenging for humans -- particularly those living with physical disabilities -- to control high-dimensional, dexterous robots. Prior work explores learning embedding functions that map a human's low-dimensional inputs (e.g., via a joystick) t
Externí odkaz:
http://arxiv.org/abs/2105.00580
Autor:
Jiang, Jonathan H., Zhai, Albert J., Herman, Jay, Zhai, Chengxing, Hu, Renyu, Su, Hui, Natraj, Vijay, Li, Jiazheng, Xu, Feng, Yung, Yuk L.
Even though it was not designed as an exoplanetary research mission, the Deep Space Climate Observatory (DSCOVR) has been opportunistically used for a novel experiment, in which Earth serves as a proxy exoplanet. More than two years of DSCOVR Earth i
Externí odkaz:
http://arxiv.org/abs/1805.05834
Autor:
Yu, Lifeng, Fahrig, Rebecca, Sabol, John M., Zhai, Albert J., Kuo, Joseph, Anastasio, Mark A., Villa, Umberto
Publikováno v:
Proceedings of SPIE; April 2023, Vol. 12463 Issue: 1 p124631I-124631I-7, 1121687p
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Akademický článek
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