Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Tianmin Shu"'
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration
Publikováno v:
IEEE Robotics and Automation Letters. 7:2644-2651
Aligning humans' assessment of what a robot can do with its true capability is crucial for establishing a common ground between human and robot partners when they collaborate on a joint task. In this work, we propose an approach to calibrate humans'
Publikováno v:
Journal of Vision. 22:3644
Publikováno v:
Journal of Forensic Sciences. 64:1482-1485
Ephedrine (EPH) and pseudoephedrine (PSE) were studied by micro-Raman spectroscopy and UV resonance Raman spectroscopy excited at 785 and 360 nm, respectively. Raman bands at approximately 245 and 410 cm-1 for ephedrine have apparent differences from
Publikováno v:
Cognitive psychology. 128
One of the great feats of human perception is the generation of quick impressions of both physical and social events based on sparse displays of motion trajectories. Here we aim to provide a unified theory that captures the interconnections between p
Publikováno v:
RO-MAN
Human collaborators can effectively communicate with their partners to finish a common task by inferring each other's mental states (e.g., goals, beliefs, and desires). Such mind-aware communication minimizes the discrepancy among collaborators' ment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0092b52ed1d89915e405ed402605358d
http://arxiv.org/abs/2007.12803
http://arxiv.org/abs/2007.12803
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585419
ECCV (22)
ECCV (22)
Vision-language navigation (VLN) is the task of entailing an agent to carry out navigational instructions inside photo-realistic environments. One of the key challenges in VLN is how to conduct a robust navigation by mitigating the uncertainty caused
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb20910722c1d27603a13a77abb5467e
https://doi.org/10.1007/978-3-030-58542-6_19
https://doi.org/10.1007/978-3-030-58542-6_19
Autor:
John Muchovej, Aviv Netanyahu, Marta Kryven, Andrei Barbu, Nakul Shenoy, Tomer Ullman, Tianmin Shu, Josh Tenenbaum, Boris Katz
Publikováno v:
Journal of Vision. 21:2463
Publikováno v:
Vision research. 178
Visual recognition of biological motion recruits form and motion processes supported by both dorsal and ventral pathways. This neural architecture inspired the two-stream convolutional neural network (CNN) model, which includes a spatial CNN to proce
Autor:
Dan, Xie, Tianmin, Shu, Sinisa, Todorovic, Song-Chun, Zhu, Dan Xie, Tianmin Shu, Song-Chun Zhu
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 40(7)
This paper presents a method for localizing functional objects and predicting human intents and trajectories in surveillance videos of public spaces, under no supervision in training. People in public spaces are expected to intentionally take shortes
Publikováno v:
Journal of Vision. 20:615