Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jinhan Hu"'
Publikováno v:
IEEE Pervasive Computing. 20:18-26
The real world presents interpretable visual detail at different scales in different situations. While empowering face recognition, augmented reality, and other computer vision tasks, mobile systems should be able to dynamically adapt the spatiotempo
Autor:
Jiqing Wen, Lauren Gold, Jinhan Hu, Alireza Bahremand, Aashiq Shaikh, Charmaine Farber, Yasser Dbeis, Sameer Channar, Connor Richards, Ryan Hoang, Craig Spencer, Nick Tang, Robert LiKamWa
Publikováno v:
Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services.
Publikováno v:
International Journal of RF and Microwave Computer-Aided Engineering. 32
Publikováno v:
HotEdgeVideo@MobiCom
Point clouds are a dense compilation of millions of points that can advance content creation and interaction in various emerging applications such as Augmented Reality (AR). However, point clouds consist of per-point real-world spatial and color info
Publikováno v:
MobiSys
Augmented Reality (AR) enables smartphone users to interact with virtual content spatially overlaid on a continuously captured physical world. Under the current permission enforcement model in popular operating systems, AR apps are given Internet per
Publikováno v:
2021 International Conference on Microwave and Millimeter Wave Technology (ICMMT).
Publikováno v:
IEEE Access, Vol 12, Pp 67246-67255 (2024)
The mainstream Go AI algorithms represented by AlphaZero and KataGo suffer from low-quality samples in the early training period and low exploration efficiency when performing traditional Monte Carlo Tree Search (MCTS). For the shortcomings mentioned
Externí odkaz:
https://doaj.org/article/f9cc070602d845d08e48ed9781481348
Autor:
Michael Polley, Hamid R. Sheikh, Seok-jun Lee, Gyeongmin Choe, Osama Nabil, Zeeshan Nadir, Jinhan Hu, Yoo Youngjun
Publikováno v:
CVPR Workshops
Deep learning-based mobile imaging applications are often limited by the lack of training data. To this end, researchers have resorted to using synthetic training data. However, pure synthetic data does not accurately mimic the distribution of the re
Publikováno v:
Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services.
Publikováno v:
MobiSys
Mobile vision systems would benefit from the ability to situationally sacrifice image resolution to save system energy when imaging detail is unnecessary. Unfortunately, any change in sensor resolution leads to a substantial pause in frame delivery -