Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Arjun Chandrasekaran"'
Autor:
Jiankai Sun, Linjiang Huang, Hongsong Wang, Chuanyang Zheng, Jianing Qiu, Md Tauhidul Islam, Enze Xie, Bolei Zhou, Lei Xing, Arjun Chandrasekaran, Michael J. Black
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-15 (2024)
Abstract Understanding a person’s behavior from their 3D motion sequence is a fundamental problem in computer vision with many applications. An important component of this problem is 3D action localization, which involves recognizing what actions a
Externí odkaz:
https://doaj.org/article/4bf93ed34922426c901dc5f3d98bd264
Publikováno v:
2021 Conference on Empirical Methods in Natural Language Processing-Proceedings of the Conference
Many real-world problems require the combined application of multiple reasoning abilities employing suitable abstractions, commonsense knowledge, and creative synthesis of problem-solving strategies. To help advance AI systems towards such capabiliti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::985b2822593cde4b61da5f5635670215
Autor:
Samir Al-Ayoubi, Young Lee, Robert DiGregorio, Namik Olivia, Alan A. Saber, Arjun Chandrasekaran, Armand Asarian
Publikováno v:
American journal of surgery. 217(1)
Background The aim of this randomized controlled trial was to assess the effectiveness of transversus abdominis plane (TAP) block in post-operative pain management in patients undergoing laparoscopic sleeve gastrectomy (LSG). Methods Ninety consecuti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::006f1a7bf8b30454307d1b7c955ca3f1
https://pubmed.ncbi.nlm.nih.gov/30826004
https://pubmed.ncbi.nlm.nih.gov/30826004
Publikováno v:
EMNLP
A rich line of research attempts to make deep neural networks more transparent by generating human-interpretable 'explanations' of their decision process, especially for interactive tasks like Visual Question Answering (VQA). In this work, we analyze
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f167f0bb6255dd6f8a044f46942bc76
https://doi.org/10.18653/v1/d18-1128
https://doi.org/10.18653/v1/d18-1128
Autor:
Philip Kramer, Nelson Menezes, Ariana Tiberi, Jasmine Bhinder, Young Lee, Arjun Chandrasekaran, George Nerantzakis, Gonzalo Ausqui
Publikováno v:
Journal of Vascular Surgery. 69:e173-e174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca1c818e7f2da94c144f2a51e1c88a7b
https://doi.org/10.1016/j.jvs.2019.04.240
https://doi.org/10.1016/j.jvs.2019.04.240
Publikováno v:
NAACL-HLT (2)
Wit is a form of rich interaction that is often grounded in a specific situation (e.g., a comment in response to an event). In this work, we attempt to build computational models that can produce witty descriptions for a given image. Inspired by a co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c6aa014993cc81914ff6a9c1f8c88c1
Autor:
Stanislaw Antol, Dhruv Batra, Ashwin K. Vijayakumar, Devi Parikh, Mohit Bansal, C. Lawrence Zitnick, Arjun Chandrasekaran
Publikováno v:
CVPR
Humor is an integral part of human lives. Despite being tremendously impactful, it is perhaps surprising that we do not have a detailed understanding of humor yet. As interactions between humans and AI systems increase, it is imperative that these sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1309d9869767a03171d4f1eb691e24dd
https://doi.org/10.1109/cvpr.2016.498
https://doi.org/10.1109/cvpr.2016.498
Publikováno v:
EMNLP
Scopus-Elsevier
Scopus-Elsevier
Temporal common sense has applications in AI tasks such as QA, multi-document summarization, and human-AI communication. We propose the task of sequencing -- given a jumbled set of aligned image-caption pairs that belong to a story, the task is to so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1715f1d318bce3917403074387163c71
https://doi.org/10.18653/v1/d16-1091
https://doi.org/10.18653/v1/d16-1091