Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Guanhang Wu"'
Autor:
Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, Jonathan Huang
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0081c1e5fb4040b2f9255764d3e6050a
https://doi.org/10.1109/cvpr52688.2022.02061
https://doi.org/10.1109/cvpr52688.2022.02061
Publikováno v:
CVPR
In static monitoring cameras, useful contextual information can stretch far beyond the few seconds typical video understanding models might see: subjects may exhibit similar behavior over multiple days, and background objects remain static. Due to po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e70cdb4f27fd2ff150f12c8e4d813e2
http://arxiv.org/abs/1912.03538
http://arxiv.org/abs/1912.03538
Autor:
Brandon Amos, Khalid Elgazzar, Kiryong Ha, Guanhang Wu, Roberta L. Klatzky, Daniel P. Siewiorek, Zhuo Chen, Padmanabhan Pillai, Siyan Zhao, Wenlu Hu, Junjue Wang, Mahadev Satyanarayanan
Publikováno v:
SEC
An emerging class of interactive wearable cognitive assistance applications is poised to become one of the key demonstrators of edge computing infrastructure. In this paper, we design seven such applications and evaluate their performance in terms of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0c524e291ed7292d8fad83e006c8e31
https://doi.org/10.1145/3132211.3134458
https://doi.org/10.1145/3132211.3134458
Publikováno v:
ICCV
In this paper, we develop deep spatio-temporal neural networks to sequentially count vehicles from low quality videos captured by city cameras (citycams). Citycam videos have low resolution, low frame rate, high occlusion and large perspective, makin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c332663f8e384cdb8cb918626c0eb7c
https://doi.org/10.1109/iccv.2017.396
https://doi.org/10.1109/iccv.2017.396
Publikováno v:
CVPR
Understanding traffic density from large-scale web camera (webcam) videos is a challenging problem because such videos have low spatial and temporal resolution, high occlusion and large perspective. To deeply understand traffic density, we explore bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c728978f46cf13ce690e5f9d4216616b
Autor:
Joshua Yu, Ghadi Salem, Jonathan Krynitsky, Alexxai V. Kravitz, Thomas Pohida, John U. Dennis, Rhamy Belayachi, Anthony Iano-Fletcher, Tom Talbot, Juan Alonso-Cruz, Kristin Branson, George Dold, Marcial Garmendia-Cedillos, Sarah Anderson, Monson H. Hayes, Guanhang Wu, Eugene Lin, Aaron Chan, Brett Kirkland, Simeon Anfinrud, James B. Mitchell
Publikováno v:
Advanced Concepts for Intelligent Vision Systems ISBN: 9783319486796
ACIVS
ACIVS
In recent years, researchers and laboratory support companies have recognized the utility of automated profiling of laboratory mouse activity and behavior in the home-cage. Video-based systems have emerged as a viable solution for non-invasive mouse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f604b40e2084fa989f77730c3bf5788f
https://doi.org/10.1007/978-3-319-48680-2_55
https://doi.org/10.1007/978-3-319-48680-2_55