Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Chiho Choi"'
Autor:
Sangjae Bae, David Isele, Alireza Nakhaei, Peng Xu, Alexandre Miranda Añon, Chiho Choi, Kikuo Fujimura, Scott Moura
Publikováno v:
IEEE Transactions on Control Systems Technology. 31:646-659
Autor:
Chiho Choi, Seungwon Kwon
Publikováno v:
The Journal of Internal Korean Medicine. 43:960-966
Objectives: Irritable bowel syndrome is a functional disorder of the gastrointestinal tract marked by chronic abdominal pain and altered bowel habits. Irritable bowel syndrome is experienced by 11% of the global population. Although antidepressants a
Publikováno v:
IEEE Robotics and Automation Letters. 6:8410-8417
Multi-agent trajectory prediction plays a crucial role in robotics and autonomous driving. The current mainstream research focuses on how to achieve accurate prediction on one large dataset. However, whether the multi-agent trajectory prediction mode
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Autor:
Lingfeng Sur, Chen Tang, Yaru Niu, Enna Sachdeva, Chiho Choi, Teruhisa Misu, Masayoshi Tomizuka, Wei Zhan
Motion forecasting in highly interactive scenarios is a challenging problem in autonomous driving. In such scenarios, we need to accurately predict the joint behavior of interacting agents to ensure the safe and efficient navigation of autonomous veh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8470ce8a426612a49c26cc64574c5e80
http://arxiv.org/abs/2203.15112
http://arxiv.org/abs/2203.15112
Autor:
Enna Sachdeva, Chiho Choi
Effective understanding of dynamically evolving multiagent interactions is crucial to capturing the underlying behavior of agents in social systems. It is usually challenging to observe these interactions directly, and therefore modeling the latent i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3e97d4d59648a44af5da12d979130f5
This paper addresses a new problem of weakly-supervised online action segmentation in instructional videos. We present a framework to segment streaming videos online at test time using Dynamic Programming and show its advantages over greedy sliding w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::027472bd3eb921674b38f0cd9866f39d
Autor:
Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi
Recent advances in trajectory prediction have shown that explicit reasoning about agents' intent is important to accurately forecast their motion. However, the current research activities are not directly applicable to intelligent and safety critical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e915bbb899e1dbd2f7e748794b16157f
http://arxiv.org/abs/2108.08236
http://arxiv.org/abs/2108.08236
Publikováno v:
ICRA
This paper considers the problem of multi-modal future trajectory forecast with ranking. Here, multi-modality and ranking refer to the multiple plausible path predictions and the confidence in those predictions, respectively. We propose Social-STAGE,
Publikováno v:
CVPR
We consider the problem of predicting the future trajectory of scene agents from egocentric views obtained from a moving platform. This problem is important in a variety of domains, particularly for autonomous systems making reactive or strategic dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57cce9aacac1d8b1f6abf16bc3a09e8d