Zobrazeno 1 - 10
of 15 750
pro vyhledávání: '"Nguyen, E"'
Recent works on Generalized Referring Expression Segmentation (GRES) struggle with handling complex expressions referring to multiple distinct objects. This is because these methods typically employ an end-to-end foreground-background segmentation an
Externí odkaz:
http://arxiv.org/abs/2411.15087
Autor:
Nguyen-Truong, Hai, Nguyen, E-Ro, Vu, Tuan-Anh, Tran, Minh-Triet, Hua, Binh-Son, Yeung, Sai-Kit
Referring image segmentation is a challenging task that involves generating pixel-wise segmentation masks based on natural language descriptions. The complexity of this task increases with the intricacy of the sentences provided. Existing methods hav
Externí odkaz:
http://arxiv.org/abs/2404.08590
Autor:
Barrier, Julien, Kim, Minsoo, Kumar, Roshan Krishna, Xin, Na, Kumaravadivel, P., Hague, Lee, Nguyen, E., Berdyugin, A. I., Moulsdale, Christian, Enaldiev, V. V., Prance, J. R., Koppens, F. H. L., Gorbachev, R. V., Watanabe, K., Taniguchi, T., Glazman, L. I., Grigorieva, I. V., Fal'ko, V. I., Geim, A. K.
Publikováno v:
Nature 628, 741-745 (2024)
Extensive efforts have been undertaken to combine superconductivity and the quantum Hall effect so that Cooper-pair transport between superconducting electrodes in Josephson junctions is mediated by one-dimensional edge states. This interest has been
Externí odkaz:
http://arxiv.org/abs/2402.14451
Autor:
Shein, K., Zharkova, E., Kashchenko, M. A., Kolbatova, A. I., Lyubchak, A., Elesin, L., Nguyen, E., Semenov, A., Charaev, I., Schilling, A., Goltsman, G. N., Novoselov, K. S., Gayduchenko, I., Bandurin, D. A.
Publikováno v:
Nano Letter 24, 7, 2282 - 2288, 2024
The rapid development of infrared spectroscopy, observational astronomy, and scanning near-field microscopy has been enabled by the emergence of sensitive mid- and far-infrared photodetectors. Owing to their exceptional signal-to-noise ratio and fast
Externí odkaz:
http://arxiv.org/abs/2311.13150
Autor:
Le, Trung-Nghia, Nguyen, Tam V., Le, Minh-Quan, Nguyen, Trong-Thuan, Huynh, Viet-Tham, Do, Trong-Le, Le, Khanh-Duy, Tran, Mai-Khiem, Hoang-Xuan, Nhat, Nguyen-Ho, Thang-Long, Nguyen, Vinh-Tiep, Diep, Tuong-Nghiem, Ho, Khanh-Duy, Nguyen, Xuan-Hieu, Tran, Thien-Phuc, Yang, Tuan-Anh, Tran, Kim-Phat, Hoang, Nhu-Vinh, Nguyen, Minh-Quang, Nguyen, E-Ro, Nguyen-Nhat, Minh-Khoi, To, Tuan-An, Huynh-Le, Trung-Truc, Nguyen, Nham-Tan, Luong, Hoang-Chau, Phong, Truong Hoai, Le-Pham, Nhat-Quynh, Pham, Huu-Phuc, Hoang, Trong-Vu, Nguyen, Quang-Binh, Nguyen, Hai-Dang, Sugimoto, Akihiro, Tran, Minh-Triet
3D object retrieval is an important yet challenging task that has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted settings such as image and ske
Externí odkaz:
http://arxiv.org/abs/2304.06053
Publikováno v:
In Journal of Arid Environments July 2021 190
Autor:
Necker FN; Incubator for Medical Mixed Reality at Stanford (IMMERS), Department of Radiology, Stanford University, Palo Alto, CA, USA; Institute of Functional and Clinical Anatomy, Faculty of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany; Department of Radiology, Stanford University, Palo Alto, CA, USA. Electronic address: fabian.necker@fau.de., Melcher ML; Stanford Medicine, Department of Surgery - Multi-Organ Transplantation, Stanford University, Palo Alto, CA, USA., Busque S; Stanford Medicine, Department of Surgery - Multi-Organ Transplantation, Stanford University, Palo Alto, CA, USA., Leuze CW; Incubator for Medical Mixed Reality at Stanford (IMMERS), Department of Radiology, Stanford University, Palo Alto, CA, USA., Ghanouni P; Department of Radiology, Stanford University, Palo Alto, CA, USA., Le Castillo C; 3D and Quantitative Imaging Lab, Department of Radiology, Stanford University, Palo Alto, CA, USA., Nguyen E; Incubator for Medical Mixed Reality at Stanford (IMMERS), Department of Radiology, Stanford University, Palo Alto, CA, USA., Daniel BL; Incubator for Medical Mixed Reality at Stanford (IMMERS), Department of Radiology, Stanford University, Palo Alto, CA, USA; Department of Radiology, Stanford University, Palo Alto, CA, USA.
Publikováno v:
Computers in biology and medicine [Comput Biol Med] 2024 Dec; Vol. 183, pp. 109267. Date of Electronic Publication: 2024 Oct 12.
Autor:
Nguyen E; Arc Institute, Palo Alto, CA, USA.; Department of Bioengineering, Stanford University, Stanford, CA, USA., Poli M; Department of Computer Science, Stanford University, Stanford, CA, USA.; TogetherAI, San Francisco, CA, USA., Durrant MG; Arc Institute, Palo Alto, CA, USA., Kang B; Arc Institute, Palo Alto, CA, USA.; Department of Bioengineering, Stanford University, Stanford, CA, USA., Katrekar D; Arc Institute, Palo Alto, CA, USA., Li DB; Arc Institute, Palo Alto, CA, USA.; Department of Bioengineering, Stanford University, Stanford, CA, USA., Bartie LJ; Arc Institute, Palo Alto, CA, USA., Thomas AW; Stanford Data Science, Stanford University, Stanford, CA, USA., King SH; Arc Institute, Palo Alto, CA, USA.; Department of Bioengineering, Stanford University, Stanford, CA, USA., Brixi G; Arc Institute, Palo Alto, CA, USA.; Department of Genetics, Stanford University, Stanford, CA, USA., Sullivan J; Arc Institute, Palo Alto, CA, USA., Ng MY; Stanford Center for Biomedical Informatics Research, Stanford, CA, USA., Lewis A; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA., Lou A; Department of Computer Science, Stanford University, Stanford, CA, USA., Ermon S; Department of Computer Science, Stanford University, Stanford, CA, USA.; CZ Biohub, San Francisco, CA, USA., Baccus SA; Department of Neurobiology, Stanford University, Stanford, CA, USA., Hernandez-Boussard T; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA., Ré C; Department of Computer Science, Stanford University, Stanford, CA, USA., Hsu PD; Arc Institute, Palo Alto, CA, USA.; Department of Bioengineering and Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA., Hie BL; Arc Institute, Palo Alto, CA, USA.; Stanford Data Science, Stanford University, Stanford, CA, USA.; Department of Chemical Engineering, Stanford University, Stanford, CA, USA.
Publikováno v:
Science (New York, N.Y.) [Science] 2024 Nov 15; Vol. 386 (6723), pp. eado9336. Date of Electronic Publication: 2024 Nov 15.
Autor:
Nguyen A; Department of Medicine, Cleveland Clinic Florida, 2950 Cleveland Clinic Boulevard, Weston, FL 33331, USA., Nguyen E; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Riverside University Health System, 26520 Cactus Avenue, Moreno Valley, CA 92555, USA., Kumar P; Division of Cardiology, Department of Medicine, University of California, Riverside, 900 University Avenue, Riverside, CA 92521, USA. Electronic address: pk.kumarp.316@gmail.com.
Publikováno v:
Cardiology clinics [Cardiol Clin] 2024 Nov; Vol. 42 (4), pp. 509-519. Date of Electronic Publication: 2024 Feb 28.
Autor:
López-Tejero S; Toronto Congenital Cardiac Centre for Adults, Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada., Osten M; Toronto Congenital Cardiac Centre for Adults, Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada., Chan Wah Hak YS; Toronto Congenital Cardiac Centre for Adults, Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada., Challa A; Toronto Congenital Cardiac Centre for Adults, Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada., Nguyen E; Cardiothoracic Imaging Division, University of Toronto, Toronto, Ontario, Canada., Horlick E; Toronto Congenital Cardiac Centre for Adults, Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada. Electronic address: eric.horlick@uhn.ca.
Publikováno v:
JACC. Cardiovascular interventions [JACC Cardiovasc Interv] 2024 Oct 21. Date of Electronic Publication: 2024 Oct 21.