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pro vyhledávání: '"Mousavian A"'
Autor:
Huang, Huang, Sundaralingam, Balakumar, Mousavian, Arsalan, Murali, Adithyavairavan, Goldberg, Ken, Fox, Dieter
Running optimization across many parallel seeds leveraging GPU compute have relaxed the need for a good initialization, but this can fail if the problem is highly non-convex as all seeds could get stuck in local minima. One such setting is collision-
Externí odkaz:
http://arxiv.org/abs/2410.16727
Semantic segmentation, as a crucial component of complex visual interpretation, plays a fundamental role in autonomous vehicle vision systems. Recent studies have significantly improved the accuracy of semantic segmentation by exploiting complementar
Externí odkaz:
http://arxiv.org/abs/2407.01328
Autor:
Yuan, Wentao, Duan, Jiafei, Blukis, Valts, Pumacay, Wilbert, Krishna, Ranjay, Murali, Adithyavairavan, Mousavian, Arsalan, Fox, Dieter
From rearranging objects on a table to putting groceries into shelves, robots must plan precise action points to perform tasks accurately and reliably. In spite of the recent adoption of vision language models (VLMs) to control robot behavior, VLMs s
Externí odkaz:
http://arxiv.org/abs/2406.10721
Optimal 3-way comparison search trees (3WCST's) can be computed using standard dynamic programming in time O(n^3), and this can be further improved to O(n^2) by taking advantage of the Monge property. In contrast, the fastest algorithm in the literat
Externí odkaz:
http://arxiv.org/abs/2311.02224
With the advent of large language models and large-scale robotic datasets, there has been tremendous progress in high-level decision-making for object manipulation. These generic models are able to interpret complex tasks using language commands, but
Externí odkaz:
http://arxiv.org/abs/2311.00926
We address the important problem of generalizing robotic rearrangement to clutter without any explicit object models. We first generate over 650K cluttered scenes - orders of magnitude more than prior work - in diverse everyday environments, such as
Externí odkaz:
http://arxiv.org/abs/2304.09302
Autor:
Kaveh Qaderi Bagajan, Fatemeh Mirzaei, Sara Ebrahimzadeh Mousavian, Safieh Emami Ale Agha, Leila Alavinejad
Publikováno v:
روانشناسی و روانپزشکی شناخت, Vol 11, Iss 2, Pp 162-179 (2024)
Introduction: Dark personality traits include a range of socially aversive personality traits that are associated with risky behaviors and other mental health risk factors. However, it is not clear which specific risky behaviors are associated with e
Externí odkaz:
https://doaj.org/article/c3dad7ef61714926bf0a0c0b95542215
Autor:
Mehrdad Hashemi, Sophie Mousavian Roshanzamir, Sima Orouei, Pouria Daneii, Rasoul Raesi, Haleh Zokaee, Pooria Bikarannejad, Kiana Salmani, Ramin Khorrami, Mahshid Deldar Abad Paskeh, Shokooh Salimimoghadam, Mohsen Rashidi, Kiavash Hushmandi, Afshin Taheriazam, Maliheh Entezari
Publikováno v:
Non-coding RNA Research, Vol 9, Iss 2, Pp 508-522 (2024)
The brain tumors and especially glioblastoma, are affecting life of many people worldwide and due to their high mortality and morbidity, their treatment is of importance and has gained attention in recent years. The abnormal expression of genes is co
Externí odkaz:
https://doaj.org/article/94bc390496b044a6bbd9ae4bd4fd986f
Autor:
Lundell, Jens, Verdoja, Francesco, Le, Tran Nguyen, Mousavian, Arsalan, Fox, Dieter, Kyrki, Ville
Most state-of-the-art data-driven grasp sampling methods propose stable and collision-free grasps uniformly on the target object. For bin-picking, executing any of those reachable grasps is sufficient. However, for completing specific tasks, such as
Externí odkaz:
http://arxiv.org/abs/2302.10745
Autor:
Labbé, Yann, Manuelli, Lucas, Mousavian, Arsalan, Tyree, Stephen, Birchfield, Stan, Tremblay, Jonathan, Carpentier, Justin, Aubry, Mathieu, Fox, Dieter, Sivic, Josef
We introduce MegaPose, a method to estimate the 6D pose of novel objects, that is, objects unseen during training. At inference time, the method only assumes knowledge of (i) a region of interest displaying the object in the image and (ii) a CAD mode
Externí odkaz:
http://arxiv.org/abs/2212.06870