Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Samuel S Sohn"'
Autor:
Samuel S. Sohn, Mihee Lee, Seonghyeon Moon, Gang Qiao, Muhammad Usman, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
Publikováno v:
Computers & Graphics. 106:130-140
Autor:
Che-Jui Chang, Samuel S Sohn, Sen Zhang, Rajath Jayashankar, Muhammad Usman, Mubbasir Kapadia
Publikováno v:
Proceedings of the 28th International Conference on Intelligent User Interfaces.
Autor:
Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
With the rise in popularity of short-term Human Trajectory Prediction (HTP), Long-Term Crowd Flow Prediction (LTCFP) has been proposed to forecast crowd movement in large and complex environments. However, the input representations, models, and datas
Autor:
Rohit K. Dubey, Michal Gath Morad, Samuel S. Sohn, David Xue, Tyler Thrash, Christoph Hölscher, Mubbasir Kapadia
Publikováno v:
SSRN Electronic Journal.
Autor:
Rohit K. Dubey, Samuel S. Sohn, Tyler Thrash, Christoph Holscher, Mubbasir Kapadia, Andre Borrmann
Human path-planning operates differently from deterministic AI-based path-planning algorithms due to the decay and distortion in a human's spatial memory and the lack of complete scene knowledge. Here, we present a cognitive model of path-planning th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6375eb06280f9c3864e4170c071194f9
https://mediatum.ub.tum.de/doc/1661017/document.pdf
https://mediatum.ub.tum.de/doc/1661017/document.pdf
Autor:
Mihee Lee, Vladimir Pavlovic, Samuel S. Sohn, Gang Qiao, Seonghyeon Moon, Mubbasir Kapadia, Sejong Yoon, Muhammad Usman
Publikováno v:
MIG
In recent years, human trajectory prediction (HTP) has garnered attention in computer vision literature. Although this task has much in common with the longstanding task of crowd simulation, there is little from crowd simulation that has been borrowe
Autor:
André Borrmann, Jimmy Abualdenien, Samuel S. Sohn, Christoph Hoelscher, Tyler Thrash, Rohit K. Dubey, Mubbasir Kapadia
Publikováno v:
MIG
Reinforcement learning (RL) has demonstrated great success in solving navigation tasks but often fails when learning complex environmental structures. One open challenge is to incorporate low-level generalizable skills with human-like adaptive path-p
Autor:
Vahid Azizi, Muhammad Usman, Samuel S Sohn, Mathew Schwartz, Seonghyeon Moon, Petros Faloutsos, Mubbasir Kapadia
Publikováno v:
SIMULATION. :003754972211157
Floorplans often require considering numerous factors, from the layout size to cost, numeric attributes such as room sizes, and other intrinsic properties such as connectivity between visible regions. Representing these complex factors is challenging
Autor:
Samuel S. Sohn, Vladimir Pavlovic, Mubbasir Kapadia, Seonghyeon Moon, Honglu Zhou, Sejong Yoon
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585259
ECCV (29)
ECCV (29)
Predicting the crowd behavior in complex environments is a key requirement for crowd and disaster management, architectural design, and urban planning. Given a crowd’s immediate state, current approaches must be successively repeated over multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4701204d76f772956fe7bcfd109cc69
https://doi.org/10.1007/978-3-030-58526-6_42
https://doi.org/10.1007/978-3-030-58526-6_42
Publikováno v:
MIG
Landmarks play a vital role in human wayfinding by providing the structure for mental spatial representations and indicating locations with which to orient. Less research effort has been allocated towards automated landmark identification in indoor e